Skip to main content
Download PDF

Biorefining of protein waste for production of sustainable fuels and chemicals

Biotechnology for Biofuels volume 11, Article number: 256 (2018) Cite this article

Abstract

To mitigate the climate change caused by CO2 emission, the global incentive to the low-carbon alternatives as replacement of fossil fuel-derived products continuously expands the need for renewable feedstock. There will be accompanied by the generation of enormous protein waste as a result. The economical viability of the biorefinery platform can be realized once the surplus protein waste is recycled in a circular economy scenario. In this context, the present review focuses on the current development of biotechnology with the emphasis on biotransformation and metabolic engineering to refine protein-derived amino acids for production of fuels and chemicals. Its scope starts with the explosion of potential feedstock sources rich in protein waste. The availability of techniques is applied for purification and hydrolysis of various feedstock proteins to amino acids. Useful lessons are leaned from the microbial catabolism of amino acids and lay a foundation for the development of the protein-based biotechnology. At last, the future perspective of the biorefinery scheme based on protein waste is discussed associated with remarks on possible solutions to overcome the technical bottlenecks.

Background

Our daily life currently dependent on fossil feedstock has been overshadowed by the global warming effect. This issue pressingly calls on the joined efforts of the international community towards climate change mitigation by reducing CO2 emission. One emergent and promising field arises and devotes to exploration of plant biomass-based fuels and chemicals for replacement of fossil resource-derived counterparts. Development of novel technology platforms for renewable production of energy and chemicals still remains a focus of research efforts [1,2,3,4,5,6]. However, the progress of the second-generation biofuel industry is fallen short of expectations because of technological bottlenecks and ecological issues associated with land use [7].

Replacement of the fossil fuels with biofuels used in the heavy transport sector is necessary to meet the CO2 reduction requirement committed at Paris Climate Conference in 2015 (COP21) [7]. A sustainable production of biofuels relies on lignocellulosic biomass. This renewable biomass can produce the waste residues exceeding 2 × 1011 tons per year worldwide [8]. Biomass stemming from dedicated energy crops and the waste streams of agro-food industries will be in a great demand because of the global incentives to the low-carbon alternatives. The expanding need for renewable feedstock is accompanied by the generation of a large volume of protein waste. As estimated, protein waste with 100 million tons per year could be generated if the use of biofuels (e.g., bioethanol and biodiesel) accounts for 10% of the global fuel demand [9]. The surplus protein waste necessitates recycling in a circular economy scenario. Valorization of biomass waste for various uses was estimated to rate bulk chemicals with the highest value of $1000 per ton of biomass, as compared to the value of transportation fuel ($200–400), cattle feed ($70–200), and electricity ($60–150) [8]. Therefore, it appears incentive to produce chemicals from protein waste [10].

This article provides a concise overview of the advances in refining protein waste for production of fuels and chemicals with special emphasis on the biotechnology platforms. The scope includes the available sources of feedstock, protein recovery and pretreatment, amino-acid catabolism, and the enzyme- and microbe-based production schemes of chemicals. As released from proteins, amino acids containing carbon skeletons with amino groups have functional similarities to the many petroleum-derived chemicals. The approach by enzymatic transformation (biotransformation) is straightforward and enables conversion of amino acids to bulk chemicals, particularly favorable for those with optical purity. On the other hand, microbes naturally utilize amino acids as food. The biomass-based schemes available for microbial production of chemicals can be transformed into those based on proteins. However, the development of both fields is still in infancy. This review is to provide an idea framework for future research efforts to this end.

Potential sources of protein waste

Protein source from crops

The feedstock conventionally applied in biorefinery platforms mainly involves crops rich in sugars (e.g., sugarbeet and sugarcane), starch (e.g., cassava, maize, wheat, and sorghum), hemicellulose (e.g., switchgrass and coppice trees), and oil (e.g., Jatropha seed, palm, rapeseed, soybean, and sunflower seed). Waste streams resulting from the production of vegetable oil and biodiesel with oil crops comprise a very high protein content ranging between 40 and 60% (w/w) of the mass fraction, and their vital value is generally acknowledged as feedstuff. Nevertheless, Jatropha meal generated by the biodiesel production has a potential application for the chemical production, because it is inedible without detoxification. Recognized as the most abundant protein source, distiller’s dried grains with solubles (DDGS) are the nitrogen-rich residues derived from the alcoholic beverage fermentation with maize, wheat, and sorghum [11]. DDGS receive a substantial income from the animal feed market, but have a low profit. The application of DDGS for production of value-added chemicals seems to be an incentive opportunity. Sugarcane vinasse in the bioethanol sector has a low content of proteins, and its economic value may be realized for an alternative application other than fertilizer [12]. As exploited for production of lignocellulosic biofuel, maize stover, wheat straw, and sorghum stove contain very few proteins. Interestingly, cassava leafs have a high protein content reaching around 40% w/w and provide a promising source of proteins. Figure 1 shows the crude protein content of selected biorefinery feedstock. The global production volume of soybean meal, rapeseed meal, and sunflower meal amounts to 200.8, 39.2, and 16 million metric tons (MMTs), respectively [13]. The production of maize DDGS and canola seed meal in US is around 23.1 (Renewable Fuels Association) and 1.07 MMTs [13], respectively.

Fig. 1
figure 1

Crude protein content of biorefinery feedstock

Full size image

Alternative protein source

The volume of crops is largely limited by land availability. In contrast, microalgae which display a fast growth produce a high protein level and can be grown in open ponds. Microalgae approximately contribute to 40% of global photosynthesis by fixing CO2 [14]. There are more than 200,000 microalgae species on the planet, mostly including Bacillariophyta (diatoms), Chlorophyta (green algae), Chrysophyta (golden algae), and Cyanophyta (blue–green algae). The fractionated composition of algae generally comprises 35–50% proteins [15]. However, microalgae display high diversity in terms of ecological, metabolic, chemical, and biological characteristics. Botryococcus braunii, for instance, has hydrocarbons accounting for 75% of the total weight. Diatom, Dunaliella salina, and Chlorella sp. are rich in lipid ranging from 30 to 75% [16]. Chlorophyta and Chlorophyceae contain 60% proteins which can be finely processed into human nutrition source [17]. Chlorella strains cultivated in the photobioreactors outdoors enable production of 32 tons protein per year [18]. The composition of amino acids from microalgae is favorable for food, fishing, agriculture, and animal feed industry [17, 19]. As reported, the protein production of Chlorella reaches up to 400 g/g-biomass under the mixotrophic condition [20]. The protein content of selected microalgae is summarized in Fig. 2, including Chlamydomonas reinhardtii [21], C. pyrenoidosa [22], Scenedesmus sp. NT1d, S. dimorphus NT8c, Tetrahedron caudatum NT5, Chlorella sp. NT8a, Graesiella emersonii NT1e [23], Nannochloropsis sp. [24], C. vulgaris [20], Anabaena variabilis [25], Heterochlorella luteoviridis, and D. tertiolecta [26]. C. vulgaris, D. bardawil, S. obliquus, and Spirulina platensis have a well-balanced composition of amino acids [15]. Microalgal proteins are expected to contribute around 30% of the animal feed market in the future [27].

Fig. 2
figure 2

Protein content of selected microalgae. The various levels of proteins in selected microalgae are summarized

Full size image

The protein content of fungi and bacteria is within a range of 30–70% and 50–80%, respectively [28]. Microbes have been genetically manipulated for mass production of amino acids and chemicals of specific interest [29], which is unaffected by climate changes. However, microbes contain a high level of nucleic acids and suffer a high risk of contamination with heavy metals and toxins [28]. Microbial proteins can provide an important and promising source if the contamination issue is well addressed.

Protein recovery and hydrolysis

Recovery of protein waste from biomass feedstock is a necessary step prior to isolation of amino acids. Figure 3 outlines the treatment schemes applied for various feedstock including oil seeds [11, 30,31,32,33], cereals [11, 30, 31, 34, 35], grass and leaves [25, 30, 31, 36, 37], seaweeds [30, 31, 38], and microalgae [30,31,32, 39, 40]. The treatment process generally consists of (1) cell disruption and fractioning, (2) protein recovery, and (3) protein hydrolysis. It has been reported to purify oil seed proteins with the method of heat [41], urea [42], pH [43], and ethanol [44], and cereal proteins with heat [41], water soluble [45], salt and ethanol [46]. Grass and leaf proteins are recovered by heat [41] and acid/alkaline [38], seedweed proteins by heat [41] and acid [43], and microalgal proteins by heat [47] and acid/alkaline [38]. The purification efficiency of implemented methods varies with distinct feedstock (Fig. 3). Nevertheless, the alkali- or acid-based precipitation method is usually employed to separate proteins. An effective method was reported to precipitate proteins at pH 9 and 30 °C or pH 4.0–4.5 and 80–90 °C [48, 49]. One technology called ammonia fiber expansion (AFEX) illustrates efficient recovery of proteins from cellulosic biomass. The treatment process starts with the warm ammonia solution for extraction of proteins. Proteins are then obtained after drying [50]. Leaf protein processed by AFEX provides a viable method of alternative choice [51]. A convection method involves the use of a mechanical mill to disrupt leaf cells, followed by removal of the juice with a screw press. The juice is subject to heat to withdraw the coagulated proteins which are isolated after drying [52].

Fig. 3
figure 3

Flow chart of protein extraction and amino-acid recovery from various biomass sources. The treatment processes applied for selected feedstock are illustratively summarized. The numerical number in the parenthesis indicates the efficiency of the implemented methods

Full size image

There are many methods developed to separate proteins from the waste stream in the biodiesel production process. One approach employs a multistep extraction method for recovery of Jatropha seed proteins [53]. Jatropha seed kernels and husks are first processed by either a milling machine or a screw press. The residue biomass after the machine pressing is extracted with solvents, followed by subjecting the crude extracts to three stages of cross-flow extraction. Proteins are finally isolated by precipitation at the acidic condition.

Disruption of cell walls presents to be the critical step in recovery of proteins from microalgae. This task is conventionally carried out by the chemical treatment using acid–alkaline solution (e.g., 0.4 M HCl and 0.4 M NaOH), or a two-phase system with polyethylene glycol (PEG) and potassium carbonate [54]. However, physical treatments usually favor the recovery of microalgal proteins at a large scale. Many methods have been developed, including high-pressure homogenization, liquid nitrogen grinding, ultrasonic crushing, osmotic cracking pulsed electric field, and microwave-assisted extraction [55, 56]. Moreover, other cell compositions associated with proteins are removed by precipitation or fractionation to ensure a good quality of recovered proteins [57]. Nevertheless, the application of microalgal proteins still remains to explore.

The hydrolysis of proteins is commonly carried out with a prolonged treatment of acids or alkalis. However, not all amino acids remain intact during the treatment process [58, 59]. A milder way lies in the use of proteases. Alcalase is an alkaline protease and has been exploited for hydrolysis of proteins in poultry, shrimp waste, and wheat gluten [60,61,62]. In addition, proteins extracted from wheat DDGS were treated with protease including Protex 14L, Protex 6L, and Protex 51P [63]. The production of amino acids from sorghum was proven feasible by the amino-peptidase and the neutral proteinase from Novozymes [64]. A patent discloses the employment of peptidases to release free amino acids from protein sources [65]. Lactic acid bacteria possess a variety of peptidases [66], and have a potential application for production of chemicals (see “Discussion and future perspectives”). Enzymatic reactions require a controlled condition to optimally proceed, which may be fulfilled by the pH-stat enzymatic hydrolysis [67].

Catabolism of proteinogenic amino acids

The synthesis of 20 proteinogenic amino acids requires six precursor metabolites in the central metabolism, involving glycolysis, the tricarboxylic acid (TCA) cycle, and the pentose phosphate (PP) pathway. Inorganic ammonia is assimilated by reductive amination of α-oxoglutarate with l-glutamate dehydrogenase (GDH) in Escherichia coli. The amination of glutamate mediated by l-glutamine synthetase (GS) leads to glutamine. Moreover, ammonia in low concentration is assimilated to glutamate by the combined reaction of GS and glutamate synthase (or glutamine: α-oxoglutarate aminotransferase). Glutamate and glutamine serve as ammonia donor for reductive synthesis of more than 10 amino acids. The catabolism of proteinogenic amino acids differs from their anabolic pathways due to the thermodynamic constraint and subtle molecular regulations. In general, the catabolic route for glucogenic amino acids leads to pyruvate and metabolite nodes in the TCA cycle and for ketogenic amino acids ends with production of acetyl-CoA and acetoacetyl-CoA (Fig. 4a). The catabolism of amino acids varies in living cells. This review is mainly focused on the catabolic pathways in E. coli and selected microbes.

Fig. 4
figure 4

Catabolism of proteinogenic amino acids. a Catabolic routes of amino acids linking to the central metabolism. b Involvement of H donors and H acceptors in Stickland reactions. In the oxidation reaction, alanine, leucine, isoleucine, valine, phenylalanine, tryptophan, and histidine function as H donors to produce acetate, 3-methylbutyrate, 2-methylbutyrate, 2-methylpropionate, phenylacetate, indolacetate, and glutamate, respectively. In the reduction reaction, glycine, proline, phenylalanine, tryptophan, ornithine, and leucine function as H acceptors to produce acetate, 5-aminovalerate, phenylpropionate, indolpropionate, 5-aminovalerate, and 4-methylvalerate, respectively

Full size image

Amino-acid catabolism with single or two steps

In E. coli and Saccharomyces cerevisiae, glycine is oxidatively degraded to CO2, ammonia, and a methylene group by the glycine cleavage complex (namely, glycine decarboxylase) [1, 68]. The methylene group enters one-carbon metabolism mediated by tetrahydrofolic acid (THF). Consequently, the formation of methylene-THF drives the serine synthesis by serine hydroxymethyl transferase in E. coli. Alternatively, Clostridium sticklandii employs a glycine degradation route consisting of glycine decarboxylase and glycine reductase to produce acetate [69].

Serine is deaminated to pyruvate by serine deaminase in E. coli [70] or serine dehydratase in S. cerevisiae [71]. E. coli synthesizes two serine deaminases (encoded by sdaA and sdaB), but is unable to utilize serine as sole carbon source.

Cysteine is a sulfur-containing compound and degraded to pyruvate and H2S in E. coli. There involves cysteine desulfhydrase (encoded by cysK and cysM) in this catabolic reaction [72]. In addition, tryptophanase (encoded by tnaA) displays a catalytic function of cysteine desulfhydrase and plays a key role in cysteine utilization. Its synthesis is induced in the presence of tryptophan [73].

E. coli utilizes alanine in a unique way. l-Alanine is first converted to d-alanine by alanine racemase (encoded by dadX and alr). A subsequent reaction catalyzed by d-amino-acid dehydrogenase (encoded by dadA) of broad substrate specificity leads to deamination of d-alanine to pyruvate [74]. This catabolic pathway enables E. coli to utilize both l-alanine and d-alanine. Alternatively, Bacillus subtilis obtains the energy for sporulation by conversion of l-alanine to pyruvate with alanine dehydrogenase [75].

The synthetic pathway of aspartate is reversible and mostly adopted for its utilization in living cells. By the aspartate aminotransferase (encoded by aspC)-mediated transamination reaction, aspartate is converted to oxaloacetate and α-ketoglutarate receives the amino group to give glutamate. Aspartate is also deaminated to fumarate as catalyzed by aspartase in E. coli and lactic acid bacteria [76, 77].

The degradation of asparagine is initiated by its conversion to aspartate as catalyzed by asparaginase. Further catabolism of aspartate proceeds with aspartase. E. coli enables synthesis of two asparaginases encoded by ansA and ansB [78].

The utilization of glutamate is limited by its inefficient transport in E. coli. The AspC-catalyzed transamination reaction mediates the conversion of glutamate to α-ketoglutarate and aspartate. Aspartate is deaminated to fumarate catalyzed by aspartase [79]. In S. cerevisiae, the NAD-dependent glutamate dehydrogenase serves as the main pathway for degradation of glutamate to α-ketoglutarate and ammonia [80].

E. coli exhibits slow growth on glutamine. Glutamine is utilized by conversion of two glutamate based on glutamate synthase, followed by glutamate catabolism [81].

Hydrolysis of proline to glutamate proceeds in two steps. E. coli synthesizes proline dehydrogenase (encoded by putA) with a dual function which is responsible for this catabolic pathway [82].

E. coli has two aerobic degradation routes of threonine [83]. The major route consists of threonine dehydrogenase (encoded by tdh or yiaY) and 2-amino-3-ketobutyrate CoA ligase (encoded by kbl) and enables conversion of threonine to glycine and acetyl-CoA. Another route comprises low-specificity l-threonine aldolase (encoded by ybjU) which generates glycine and acetaldehyde from threonine.

Amino-acid catabolism with multiple steps

The catabolic pathway of histidine consists of four reactions steps, which leads to the formation of glutamate and formamide. This pathway exists in many microbes (such as B. subtilis) but not found in E. coli [84].

Microbes utilize arginine through various pathways [85]. The catabolic reaction starts with arginine succinyltransferase or arginine decarboxylase in E. coli, arginine oxidase in P. putida, arginine deiminase in lactic acid bacteria, arginase in B. subtilis, and arginine:pyruvate transaminase in P. aeruginosa. The arginine succinyltransferase (AST) pathway is the major catabolic pathway of arginine in E. coli. The α-amino group of arginine is first succinylated, followed by deamination of two amino groups and transamination of the third amino group on the side chain. The succinyl group is detached from the α-amino group of arginine through hydrolysis, finally giving glutamate and succinate. The arginine deiminase (ADI) pathway found in C. sticklandii [69] and lactic acid bacteria [66] produces intermediate metabolites including citrulline, ornithine, and carbamoyl phosphate which appear in the synthetic pathway of arginine. Carbamoyl phosphate is further cleaved into CO2 and ammonia with generation of ATP. This substrate-level phosphorylation in arginine catabolism is coupled with the bacterial growth [66].

Leucine, isoleucine, and valine are branch-chain amino acids (BCAAs) which produce volatile compounds involving acids, aldehydes, alcohols, and esters. Their degradation starts with the transamination reaction using α-oxoglutarate as the amino acceptor to produce α-oxoisocaproate, α-oxomethylvalerate, and α-oxoisovalerate, respectively. Aminotransferases such as AraT (EC 2.6.1.1) and BcaT (EC 2.6.1.42) in lactic acid bacteria and BAT1 in S. cerevisiae are responsible for this transamination reaction [86, 87]. The degradation pathways for conversion of these α-oxoacids to aldehydes, carboxylic acids, and hydroxyacids are common in most microbes. Alternatively, the common pathway for conversion of leucine, isoleucine, and valine to 3-methylcrotonyl-CoA, (E)-2-methylcrotonoyl-CoA, and methylacrylyl-CoA proceeds with BCAAs aminotransferase, branched-chain α-ketoacid dehydrogenase, and 2-methylacyl-CoA dehydrogenase, respectively. The subsequent cleavage of these acyl-CoA derivatives goes through distinct routes, consequently leading to propionyl-CoA, acetyl-CoA, or acetoacetate.

Tryptophan can be degraded in various ways. E. coli synthesizes tryptophanase which catalyzes the conversion of tryptophan to indole, pyruvate, and ammonia [88]. The catabolic pathway involving homogentisate as an intermediate is employed by animals, fungi, and some bacteria for tyrosine degradation. Further hydrolysis of homogentisate produces fumarate and acetoacetate. The degradation of phenylalanine can proceed with the same pathway after its hydroxylation to tyrosine by phenylalanine hydroxylase [89].

The degradation pathway of lysine diversifies. P. putida catabolizes lysine to glutarate via the δ-aminovalerate pathway [90]. Glutarate is activated to glutaryl-CoA which is cleaved to CO2 and acetyl-CoA in several steps [91].

Note that S. cerevisiae has evolved a generalized pathway for utilization of amino acids discovered by Ehrlich [92]. The Ehrlich pathway starts with the transamination reaction by conversion amino acids to their respective α-keto acids. Subsequent decarboxylation of α-keto acids produces aldehydes, known as fusel aldehydes. Fusel aldehydes are finally reduced to fusel alcohols or oxidized to fusel acids, which serve as flavor compounds or precursors of flavor compounds. The Stickland reaction prevails in clostridial species that ferment the amino-acid mixture [93]. In this reaction, some amino acids preferably function as H donors, while others H acceptors (Fig. 4b). It is carried out by coupling the oxidation reaction of one amino acid with the reduction reaction of another. For instance, the oxidation of glycine pairing with the reduction of glycine produces acetate and ammonia. This reaction is featured with conservation of ATP via the substrate-level phosphorylation.

Bio-based production of fuels and chemicals from amino acids

Biotransformation approach

Protein hydrolysates contain a mixture of 20 amino acids. Isolation of amino acids is required for performing biotransformation. Many methods for separation of a single amino acid from a mixture have been developed, and each has its own advantage and disadvantage. By the electrodialysis method, amino acids are separated into the acidic, basic, and neutral groups [94]. The potential problem is the interaction of some amino acids with the ion-exchange membrane. A recent study has reported the use of ethanol to fractionally precipitate amino acids [57]. Groups of amino acids are separated from a mixture, which needs extra work for the complete separation of amino acids. The implementation of chromatography appears useful for isolation of individual amino acids [95]. However, these mentioned methods are generally impractical due to a high cost associated with the scale-up operation and waste management.

A variety of amino group-containing compounds are idea candidates for production from amino acids with a simple reaction scheme. Learning from the amino-acid catabolism of microbes, the deamination, decarboxylation, and hydrolysis reactions provides a basis for the production scheme (Table 1). A good example illustrates the arginase-catalyzed conversion of arginine to ornithine [96]. The starting material for Nylon-4,6 can be obtained by further decarboxylation of ornithine to 1,4-diaminobutane using ornithine decarboxylase [97]. This two-step reaction is limited by ornithine decarboxylase [total turnover number (TTN) of ~ 105] due to its lower operational stability than arginase (TTN of ~ 109). The phenylalanine ammonia lyase (PAL)-mediated reaction produces cinnamic acid from phenylalanine [98]. The importance of cinnamic acid is acknowledged as the precursor for the synthesis of styrene (> 1.7 × 107 tons/year). PAL prevails in yeast and is subject to oxidation. The reaction scheme is usually conducted with suspended whole cells under the anaerobic and static condition. A similar idea can also be applied for production of β-alanine by decarboxylation of aspartate with aspartate α-decarboxylase [99]. β-Alanine has a potential application for the synthesis of acrylonitrile and acrylamide (> 0.5 × 106 tons/year). This enzymatic reaction generates CO2 which causes a pH shift and the malfunction of the fixed-bed reactor. The oxidation and decarboxylation of lysine lead to 5-aminovaleric acid and 5-diaminopentane, respectively. The former reaction proceeds with lysine oxidase, while the latter with lysine decarboxylase [100,101,102]. The potential application of 5-aminovaleric acid and 5-diaminopentane is their use for production of nylon and polyamide. However, the enzymatic reaction is less efficient and conducted for several days to achieve a conversion yield of 95%. Glutamic acid is a non-essential amino acid and the most abundant amino acid found in most of feedstock proteins. Through the decarboxylation reaction, glutamate is converted to γ-aminobutyric acid by glutamate decarboxylase (GAD) [103]. The synthetic routes starting from γ-aminobutyric acid to N-methylpyrrolidone (NMP) and N-vinylpyrrolidone (NVP) are considered environmentally favorable. NMP and NVP are useful intermediates for the synthesis of many bulk chemicals. The GAD-mediated reaction is relatively efficient with a complete conversion of glutamic acid within 3 h, which gives a production rate of 34.3 g/L/h. The deamination of glutamate by glutamate deaminase gives α-ketoglutaric acid [104, 105]. Interestingly, α-ketoglutaric acid can be polymerized into poly(triol α-ketoglutarate), a biodegradable material. However, this enzyme displays instability to lose 75% of the activity after the four times reuse of the immobilized cells.

Table 1 Summary of selected biotransformation of amino acids into chemicals
Full size table

Primary amines are important for the synthesis of azo dyes, antioxidants, or rubber products. They can be obtained from primary alcohols using one-pot enzymes including thermostable alcohol dehydrogenase (ADH-hT), ω-transaminase (ωTA), and l-alanine dehydrogenase (AlaDH) [106]. ADH-hT participates in the oxidation reaction, while ωTA catalyzes the amination reaction. The oxidation and amination reactions are continued to occur by cycling l-alanine/pyruvate and NAD+/NADH with the aid of AlaDH. The conversion reaction can be driven to completion (up to 99%) using ammonia as an amino-donor in the presence of 1,2-dimethoxyethane at room temperature. An alternative approach to obtain amine has been illustrated with galactose oxidase from Fusarium sp., and a ω-TA from B. megaterium, P. putida, Paracoccus denitrificans, and Vibrio fluvialis [107]. Like AlaDH, either formate dehydrogenase or glucose dehydrogenase was employed to complete the l-alanine/pyruvate and NAD+/NADH cycle [108]. The continued operation of these reactions is driven by regeneration of NAD+ which is added as a cofactor.

l- or d-Hydroxy acids mostly used for enantio-drugs can be synthesized by a designed cascade reaction, namely one-pot simultaneous multi-enzyme system [109]. The (R)- and (S)-enantiomers of amino acids are converted to enantiopure form (> 99% ee) by l-amino-acid oxidases (l-AAD) [110]. A subsequent reaction proceeds as an asymmetric reduction which consists of the coupled reaction of isocaproate reductase (Hic) and formate dehydrogenase (FDH) [111]. The implementation of l- or d-Hic enables selective production of the hydroxy acid enantiomers. The regeneration of NADH cofactor is carried out by FDH, which is widely applied in industry.

Pathway engineering approach

Naturally occurring microbes exhibit a different degree of amino-acid utilization as the carbon and nitrogen source. Nevertheless, the production of chemicals by microbes using protein waste can be implemented without the need for isolation of amino acids. This idea has been well illustrated by pathway engineering of E. coli to rewire and optimize its amino-acid catabolism [112]. E. coli was first evolved to utilize 13 individual amino acids after several rounds of chemical mutagenesis. To produce isobutanol, the evolved strain was endowed with the synthetic pathway. The microbial consumption of proteins may be restricted upon induction of quorum sensing in cells grown on the protein-rich medium [113]. The regulatory circuit of amino-acid catabolism was then disabled by deletion of the quorum-sensing genes luxS or lsrA, consequently increasing the isobutanol production. Furthermore, a driving force to drain more amino acids was created by blockage of the nitrogen assimilation pathways involving GDH and GS (Fig. 5). This approach led to the accumulation of glutamate and BCAAs. Three transamination–deamination cycles were generated for utilization of BCAAs by overexpression of leuDH from Thermoactinomyces intermedium and endogenous genes involving ilvE, avtA, and sdaB. The first cycle operates using LeuDH to deaminate isoleucine and leucine to 2-keto methylvalerate and 2-keto isocaproate, respectively. The second cycle driven by AvtA converts valine to 2-keto isovalerate, and pyruvate accepts the amino acceptor of valine. Through the IlvE-catalyzed transamination reaction, these three α-keto acids receive the amino group from glutamate to form isoleucine, leucine, and valine, respectively. The third cycle proceeds by SdaB-mediated deamination of serine to pyruvate. Re-synthesis of serine occurs by gluconeogenic conversion of pyruvate to 3-phosphoglycerate which serves as the precursor for serine synthesis via the native synthetic pathway consisting of serA, serB, and serC. These combined strategies finally resulted in the production of biofuels (isobutanol, 2-methyl-1-butanol, and 3-methyl-1-butanol) accounting for 56% the theoretical yield. Another merit of this approach is manifested by removal of the ammonia from amino acids, and the recycled nitrogen may provide the need of fertilizer for crops. This reduces the dependence of chemical fertilizer stemming from the environmentally unfavorable Haber–Bosch process, which eventually ameliorates the climate change [114]. Recently, the same idea has been applied for production of biofuels from DDGS by a bacterial consortium which consists of two strains designed for selective utilization of carbohydrates and amino acids, respectively [115]. The strategy by deamination of amino acids has also been exploited for the production of ammonia [116].

Fig. 5
figure 5

Rewiring of metabolic pathways in E. coli for conversion amino acids to biofuels and ammonia. The rational design of catabolic pathways for amino acids leads to the accumulation of intracellular metabolites involving pyruvate, α-oxoglutarate, glutamate, and ammonia. The deleted genes are marked with “X”. OAA oxaloacetate, Pyr pyruvate, 2-KG α-oxoglutarate, KIV 2-ketoisovalerate, KIC 2-ketoisocaproate, KMV 3-ketomethylvalerate, iBOH isobutanol, 2-MB 3-methyl-1-butanol, 3MB 3-methyl-1-butanol

Full size image

Although feasible, the amino acid-based production scheme of biofuels by genetically modified E. coli is afflicted with the need for protein hydrolysate. The implementation of a native protease-secreting microbe such as B. subtilis seems to provide a solution to this issue by integration of protein hydrolysis and amino-acid fermentation in one step. The strategy exploited for pathway engineering of B. subtilis was carried out in several steps [117]. In essence, three transamination–deamination pathways for cycling BCAAs were established by recruitment of T. intermedium leuDH. Two cycle pathways generally resemble those in E. coli. One involves YbgE (like E. coli IlvE) and LeuDH to cycle isoleucine, leucine, and valine. Valine is cycled in another route by coupling YbgE with AlaT (like E. coli AvtA). The third cycle proceeds with deamination of glutamate by endogenous RocG and re-synthesis of glutamate by YbgE-mediated transamination. Moreover, the regulatory circuit involved in the related pathways of BCAAs was decoupled by removal of the global transcriptional regulator CodY. Inactivation of BkdB to nullify the degradation pathway of BCAAs led to accumulation of 2-keto acid pools. Finally, the engineered B. subtilis enabled production of biofuels with 18.9% of the theoretical yield after recruitment of the Ehrlich pathway comprising Lactococcus lactis kivD and E. coli yqhD.

Discussion and future perspectives

The world is now entering a new era of the bio-based economy that is marked with sustainability and ecological soundness. To support the growth of this economy system, the biorefinery platforms need to be continuously advanced. The historical production of bio-based fuels and products has been mainly carried out with sugar feedstock. However, the cost of bio-based products generally exceeds that of petrochemical counterparts. A considerable volume of proteins will be generated in the waste streams associated with the sugar-based production process. Therefore, the economical viability of the biorefinery platform can be realized by incorporation of the protein-based production scheme into the existing production scheme based on sugars. This scenario is well exemplified by a recent study reporting the microbial production of C4 and C5 fusel alcohols from DDGS [115]. An E. coli strain which metabolizes glucose and xylose was equipped with the synthetic pathway of fusel alcohols by overexpressing Als, IlvCD, KivD, and YqhD (refer to Fig. 5). In addition to the synthetic pathway of fusel alcohols, the catabolic pathways of amino acids were rewired in another E. coli strain for high utilization of amino acids according to the reported approach [112]. Sugars and amino acids are released in DDGS by pretreatment with dilute sulfuric acid and Pronase. Consequently, co-culturing of the two strains on DDGS hydrolysate enables production of 10.3 g/L fusel alcohols. The production of putrescine by recombinant C. glutamicum presents another example. By expressing ornithine decarboxylase, this strain was grown on glucose, while supplemented with l-arginine as a precursor [118]. An earlier study proposed a process to fractionate sugarcane leaves and tops for simultaneous production of electricity, single cell proteins, and leaf proteins [119]. It would be appealing to integrate this process with a production scheme of chemicals based on leaf proteins. Nevertheless, the development of the protein-based biorefinery is still immature and fallen far behind the biomass-based platform.

The biotransformation method provides a simple way for production of bulk chemicals from amino acids. However, isolation of a single amino acid from protein hydrolysates is required and remains technically difficult. One potential solution is provided by the microbial production of cyanophycin [120, 121]. Cyanophycin consists of a poly-l-aspartic acid backbone with l-arginine side chain. The employment of recombinant strains grown on sugars enables mass production of insoluble cyanophycin by direct utilization of aspartic acid and arginine present in the medium. Either aspartic acid or arginine recovered from the hydrolysis treatment of isolated cyanophycin is readily applicable for the biotransformation production. Apparently, this approach provides a useful route for selective separation of aspartic acid and arginine from others in protein waste. The industrial production of l-glutamic acid by microbial fermentation has been practiced over 50 years ago since its birth [122]. Until now, almost all proteinogenic amino acids can be produced with rationally designed microbes on industrial scale [123]. Based on this well-established fermentation scheme, the amino-acid producer strain may be modified for utilization of surplus or non-essential amino acids. Recovery of the produced amino acid is made possible with crystallization [124]. In addition, the stability of enzymes appears to be another challenge that limits the development of biotransformation. The method using directed evolution or/and immobilization would be useful to address this issue [125, 126].

Naturally existing microbes are evolved to utilize part of amino acids and produce fermentation products such as hydrogen and n-butanoate/acetate [127, 128]. As described in “Catabolism of proteinogenic amino acids” section, it seems possible to engineer a microbe for utilization of all amino acids by integration of the catabolic pathways from a variety of strains. One of various catabolic pathways for a specific amino acid can be chosen for design according to the engineering purpose. The catabolic routes of amino acids interconnect the central metabolism at distinct nodes (Fig. 4a). To direct the carbon flux to the desired pathway of a specific product, the task necessitates a rational design of pathways and is highly delicate and complicated to fulfill. A consolidated platform for production of chemical is appealing without the need of processing proteins into amino acids. An illustrative example employs Lactococcus lactis (naturally secreting proteases) for nisin production based on defatted soybean meal [129]. Amino acids from intracellular hydrolysis of small peptides were utilized to synthesize nisin. A synthetic consortium may be designed by co-culturing of one protease-secreting strain and another strain specialized in utilization of amino acids. This approach will simplify the genetic manipulation and ameliorate the metabolic stress incurred by overexpression of many enzymes.

Figure 6 shows the biomass-derived building blocks of chemicals that receive industrial interest. All of them are either in development or in pipeline. The list includes C-2 products (e.g., ethanol [130], ethylene [131], and glycolic acid [132]), C-3 products (e.g., lactate [133], 1,3-propanediol [134], isopropanol [135], 3-hydroxy propanoic acid [136], 1,2 propanediol [137], acrylic acid [138], and n-propanol [139]), C-4 products (e.g., n-butanol [140], isobutanol [141], n-butyraldehyde [142], 1,4-butanediol [143], and succinate [144]), and products with a high carbon number (n > 6) (e.g., muconic acid [145], itaconic acid [146], isoprene [147], 5-aminolevulinic acid [148], adipic acid [149], glucaric acid [150], caprolactam [151], α-farnesene [152], and polyhydroxyalkanoates [153]). In general, the synthetic routes of these terminal products starting with sugars can be transformed into those based on amino acids. Through the catabolic pathways, the carbon-skeleton flux of either glucogenic amino acids or ketogenic amino acids is re-directed into the bifurcated pathways of interest. In addition, the introduction of the CO2-fixation pathways [154] into producer strains may improve the production yield due to the involvement of decarboxylation of amino acids.

Fig. 6
figure 6

Biomass-derived building blocks of industrial interest. The schematic drawing illustrates the synthetic pathways leading to building blocks of industrial interest

Full size image

In conclusion, the production of bio-based chemicals and polymers is fallen far short of the petrochemical production volume. This demands that researchers across interdisciplinary areas work together to accelerate the pace of R&D and come up with novel biorefinery platforms. The bio-based economy is beginning to reshape our life.

Abbreviations

ADH-hT:

alcohol dehydrogenase

ADI:

arginine deiminase

AFEX:

ammonia fiber expansion

AlaDH:

l-alanine dehydrogenase

AST:

arginine succinyltransferase

BCAAs:

branch-chain amino acids

DDGS:

distiller’s dried grains with soluble

FDH:

formate dehydrogenase

GDH:

l-glutamate dehydrogenase

GS:

l-glutamine synthetase

l-AAD:

l-amino-acid oxidases

l-Hic:

isocaproate reductase

NMP:

N-methylpyrrolidone

NVP:

N-vinylpyrrolidone

PP:

pentose phosphate

TCA:

tricarboxylic acid

THF:

tetrahydrofolic acid

ωTA:

ω-transaminase

References

  1. Ghrist AC, Heil G, Stauffer GV. GcvR interacts with GcvA to inhibit activation of the Escherichia coli glycine cleavage operon. Microbiology. 2001;147:2215–21.

    Article  CAS  PubMed  Google Scholar 

  2. Chung D, Cha M, Guss AM, Westpheling J. Direct conversion of plant biomass to ethanol by engineered Caldicellulosiruptor bescii. Proc Natl Acad Sci USA. 2014;111:8931.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Brethauer S, Studer MH. Consolidated bioprocessing of lignocellulose by a microbial consortium. Energy Environ Sci. 2014;7:1446–53.

    Article  CAS  Google Scholar 

  4. Bokinsky G, Peralta-Yahya PP, George A, Holmes BM, Steen EJ, Dietrich J, Lee TS, Tullman-Ercek D, Voigt CA, Simmons BA, Keasling JD. Synthesis of three advanced biofuels from ionic liquid-pretreated switchgrass using engineered Escherichia coli. Proc Natl Acad Sci USA. 2011;108:19949.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Shin H-D, McClendon S, Vo T, Chen RR. Escherichia coli binary culture engineered for direct fermentation of hemicellulose to a biofuel. Appl Environ Microbiol. 2010;76:8150–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Saini M, Chen MH, Chiang CJ, Chao YP. Potential production platform of n-butanol in Escherichia coli. Metab Eng. 2015;27:76–82.

    Article  CAS  PubMed  Google Scholar 

  7. Lynd LR. The grand challenge of cellulosic biofuels. Nat Biotechnol. 2017;35:912.

    Article  CAS  PubMed  Google Scholar 

  8. Tuck CO, Pérez E, Horváth IT, Sheldon RA, Poliakoff M. Valorization of biomass: deriving more value from waste. Science. 2012;337:695.

    Article  CAS  PubMed  Google Scholar 

  9. Sanders J, Scott E, Weusthuis R, Mooibroek H. Bio-refinery as the bio-inspired process to bulk chemicals. Macromol Biosci. 2007;7:105–17.

    Article  CAS  PubMed  Google Scholar 

  10. Scott E, Peter F, Sanders J. Biomass in the manufacture of industrial products—the use of proteins and amino acids. Appl Microbiol Biotechnol. 2007;75:751–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Lammens TM, Franssen MCR, Scott EL, Sanders JPM. Availability of protein-derived amino acids as feedstock for the production of bio-based chemicals. Biomass Bioenergy. 2012;44:168–81.

    Article  CAS  Google Scholar 

  12. Prado RdM, Caione G, Campos CNS. Filter cake and vinasse as fertilizers contributing to conservation agriculture. Appl Environ Soil Sci. 2013;2013:8.

    Article  CAS  Google Scholar 

  13. Hicks TM, Verbeek CJR. Protein-rich by-products: production statistics, legislative restrictions, and management options. In: Ghillon GS, editor. Protein byproducts: transformation from environmental burden into value-added products. London: Academic Press; 2016. p. 1–18.

    Google Scholar 

  14. Norton TA, Melkonian M, Andersen RA. Algal biodiversity. Phycologia. 1996;35:308–26.

    Article  Google Scholar 

  15. Becker EW. Micro-algae as a source of protein. Biotechnol Adv. 2007;25:207–10.

    Article  CAS  PubMed  Google Scholar 

  16. Sheehan J, Dunahay T, Benemann J, Roessler P. Look back at the U.S. Department of Energy’s aquatic species program: biodiesel from algae; close-out report. National Renewable Energy Lab., Golden, Co. US; 1998.

  17. Koo J, Bai SC, Kim K, Kim S. Optimum dietary level of Chlorella powder as a feed additive for growth performance of Juvenile olive flounder, Paralichthys olivaceus. J Appl Aquacult. 2001;11:55–66.

    Article  Google Scholar 

  18. Guccione A, Biondi N, Sampietro G, Rodolfi L, Bassi N, Tredici MR. Chlorella for protein and biofuels: from strain selection to outdoor cultivation in a green wall panel photobioreactor. Biotechnol Biofuels. 2014;7:84.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Tchorbanov B, Bozhkova M. Enzymatic hydrolysis of cell proteins in green algae Chlorella and Scenedesmus after extraction with organic solvents. Enzyme Microb Technol. 1988;10:233–8.

    Article  Google Scholar 

  20. Salati S, D’Imporzano G, Menin B, Veronesi D, Scaglia B, Abbruscato P, Mariani P, Adani F. Mixotrophic cultivation of Chlorella for local protein production using agro-food by-products. Bioresour Technol. 2017;230:82–9.

    Article  CAS  PubMed  Google Scholar 

  21. Kightlinger W, Chen K, Pourmir A, Crunkleton DW, Price GL, Johannes TW. Production and characterization of algae extract from Chlamydomonas reinhardtii. Electron J Biotechnol. 2014;17:3.

    Article  CAS  Google Scholar 

  22. Hariskos I, Posten C. Biorefinery of microalgae—opportunities and constraints for different production scenarios. Biotechnol J. 2014;9:739–52.

    Article  PubMed  CAS  Google Scholar 

  23. Duong VT, Ahmed F, Thomas-Hall SR, Quigley S, Nowak E, Schenk PM. High protein- and high lipid-producing microalgae from Northern Australia as potential feedstock for animal feed and biodiesel. Front Bioeng Biotechnol. 2015;3:53.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Wang X, Sheng L, Yang X. Pyrolysis characteristics and pathways of protein, lipid and carbohydrate isolated from microalgae Nannochloropsis sp. Bioresour Technol. 2017;229:119–25.

    Article  CAS  PubMed  Google Scholar 

  25. Vargas MA, Rodríguez H, Moreno J, Olivares H, Campo JAD, Rivas J, Guerrero MG. Biochemical composition and fatty acid content of filamentous nitrogen-fixing cyanobacteria. J Phycol. 1998;34:812–7.

    Article  CAS  Google Scholar 

  26. Diprat AB, Menegol T, Boelter JF, Zmozinski A, Vale MGR, Rodrigues E, Rech R. Chemical composition of microalgae Heterochlorella luteoviridis and Dunaliella tertiolecta with emphasis on carotenoids. J Sci Food Agric. 2017;97:3463–8.

    Article  CAS  PubMed  Google Scholar 

  27. Richmond A. Handbook of microalgal culture: biotechnology and applied phycology. Oxford: Blackwell Science; 2004.

    Google Scholar 

  28. Anupama, Ravindra P. Value-added food: single cell protein. Biotechnol Adv. 2000;18:459–79.

    Article  CAS  PubMed  Google Scholar 

  29. Tokushima H, Inoue-Kashino N, Nakazato Y, Masuda A, Ifuku K, Kashino Y. Advantageous characteristics of the diatom Chaetoceros gracilis as a sustainable biofuel producer. Biotechnol Biofuels. 2016;9:235.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. Solati Z, Manevski K, Jørgensen U, Labouriau R, Shahbazi S, Lærke PE. Crude protein yield and theoretical extractable true protein of potential biorefinery feedstocks. Ind Crops Prod. 2018;115:214–26.

    Article  CAS  Google Scholar 

  31. Mulder W. Proteins in biomass streams. Wageningen: Food and Biobased Research; 2010.

    Google Scholar 

  32. Sari YW, Bruins ME, Sanders JP. Enzyme assisted protein extraction from rapeseed, soybean, and microalgae meals. Ind Crops Prod. 2013;43:78–83.

    Article  CAS  Google Scholar 

  33. Kumar MBA, Gao Y, Shen W, He L. Valorisation of protein waste: an enzymatic approach to make commodity chemicals. Front Chem Sci Eng. 2015;9:295–307.

    Article  CAS  Google Scholar 

  34. Zhu G, Zhu X, Fan Q, Wan X. Recovery of biomass wastes by hydrolysis in sub-critical water. Resour Conserv Recycl. 2011;55:409–16.

    Article  Google Scholar 

  35. Villegas-Torres MF, Ward JM, Lye GJ. The protein fraction from wheat-based dried distiller’s grain with solubles (DDGS): extraction and valorization. New Biotechnol. 2015;32:606–11.

    Article  CAS  Google Scholar 

  36. Zhang C, Sanders JPM, Bruins ME. Critical parameters in cost-effective alkaline extraction for high protein yield from leaves. Biomass Bioenergy. 2014;67:466–72.

    Article  CAS  Google Scholar 

  37. Edwards RH, Miller RE, De Fremery D, Knuckles BE, Bickoff EM, Kohler GO. Pilot plant production of an edible white fraction leaf protein concentrate from alfalfa. J Agric Food Chem. 1975;23:620–6.

    Article  CAS  Google Scholar 

  38. Fleurence J, Le Coeur C, Mabeau S, Maurice M, Landrein A. Comparison of different extractive procedures for proteins from the edible seaweeds Ulva rigida and Ulva rotundata. J Appl Phycol. 1995;7:577–82.

    Article  CAS  Google Scholar 

  39. Lee J-Y, Yoo C, Jun S-Y, Ahn C-Y, Oh H-M. Comparison of several methods for effective lipid extraction from microalgae. Bioresour Technol. 2010;101:S75–7.

    Article  CAS  PubMed  Google Scholar 

  40. Postma PR, Suarez-Garcia E, Safi C, Yonathan K, Olivieri G, Barbosa MJ, Wijffels RH, Eppink MHM. Energy efficient bead milling of microalgae: effect of bead size on disintegration and release of proteins and carbohydrates. Bioresour Technol. 2017;224:670–9.

    Article  CAS  PubMed  Google Scholar 

  41. Reisinger M, Tirpanalan Ö, Prückler M, Huber F, Kneifel W, Novalin S. Wheat bran biorefinery—a detailed investigation on hydrothermal and enzymatic treatment. Bioresour Technol. 2013;144:179–85.

    Article  CAS  PubMed  Google Scholar 

  42. Sari YW, Mulder WJ, Sanders JP, Bruins ME. Towards plant protein refinery: review on protein extraction using alkali and potential enzymatic assistance. Biotechnol J. 2015;10:1138–57.

    Article  CAS  PubMed  Google Scholar 

  43. Anderson RL, Wolf WJ, Glover D. Extraction of soybean meal proteins with salt solutions at pH 4.5. J Agric Food Chem. 1973;21:251–4.

    Article  CAS  Google Scholar 

  44. Wu YV, Sexson KR, Cavins JF, Inglett GE. Oats and their dry-milled fractions. Protein isolation and properties of four varieties. J Agric Food Chem. 1972;20:757–61.

    Article  CAS  Google Scholar 

  45. Mohamed A, Hojilla-Evangelista MP, Peterson SC, Biresaw G. Barley protein isolate: thermal, functional, rheological, and surface properties. J Am Oil Chem Soc. 2007;84:281–8.

    Article  CAS  Google Scholar 

  46. Gangopadhyay N, Hossain BM, Rai KD, Brunton PN. A review of extraction and analysis of bioactives in oat and barley and scope for use of novel food processing technologies. Molecules. 2015;20:10884–909.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Maehre KH, Jensen I-J, Eilertsen K-E. Enzymatic pre-treatment increases the protein bioaccessibility and extractability in Dulse (Palmaria palmata). Mar Drugs. 2016;14:196.

    Article  PubMed Central  CAS  Google Scholar 

  48. Lee HC, Htoon AK, Paterson JL. Alkaline extraction of starch from Australian lentil cultivars Matilda and Digger optimised for starch yield and starch and protein quality. Food Chem. 2007;102:551–9.

    Article  CAS  Google Scholar 

  49. Meister E, Thompson NR. Physical–chemical methods for the recovery of protein from waste effluent of potato chip processing. J Agric Food Chem. 1976;24:919–23.

    Article  CAS  Google Scholar 

  50. Bals B, Teachworth L, Dale B, Balan V. Extraction of proteins from switchgrass using aqueous ammonia within an integrated biorefinery. Appl Biochem Biotechnol. 2007;143:187–98.

    Article  CAS  PubMed  Google Scholar 

  51. Bals B, Dale BE. Economic comparison of multiple techniques for recovering leaf protein in biomass processing. Biotechnol Bioeng. 2011;108:530–7.

    Article  CAS  PubMed  Google Scholar 

  52. Sinclair S. Protein extraction from pasture: the plant fractionation bio-process and adaptability to farming systems. New Zealand: Ministry of Agriculture and Forestry; 2009.

    Google Scholar 

  53. Lestari D, Mulder W, Sanders J. Improving Jatropha curcas seed protein recovery by using counter current multistage extraction. Biochem Eng J. 2010;50:16–23.

    Article  CAS  Google Scholar 

  54. Barbarino E, Lourenço SO. An evaluation of methods for extraction and quantification of protein from marine macro- and microalgae. J Appl Phycol. 2005;17:447–60.

    Article  CAS  Google Scholar 

  55. Bodzon-Kulakowska A, Bierczynska-Krzysik A, Dylag T, Drabik A, Suder P, Noga M, Jarzebinska J, Silberring J. Methods for samples preparation in proteomic research. J Chromatogr B. 2007;849:1–31.

    Article  CAS  Google Scholar 

  56. Kadam SU, Tiwari BK, O’Donnell CP. Application of novel extraction technologies for bioactives from marine algae. J Agric Food Chem. 2013;61:4667–75.

    Article  CAS  PubMed  Google Scholar 

  57. Widyarani, Bowden NA, Kolfschoten RC, Sanders JPM, Bruins ME. Fractional precipitation of amino acids from agro-industrial residues using ethanol. Ind Eng Chem Res. 2016;55:7462–72.

    Article  CAS  Google Scholar 

  58. Ozols J. Amino acid analysis. In: Deutscher MP, editor. Methods in enzymology, vol. 182. New York: Academic Press; 1990. p. 587–601.

    Google Scholar 

  59. Provansal MMP, Cuq JLA, Cheftel JC. Chemical and nutritional modifications of sunflower proteins due to alkaline processing. Formation of amino acid crosslinks and isomerization of lysine residues. J Agric Food Chem. 1975;23:938–43.

    Article  CAS  PubMed  Google Scholar 

  60. Dalev PG. Utilisation of waste feathers from poultry slaughter for production of a protein concentrate. Bioresour Technol. 1994;48:265–7.

    Article  CAS  Google Scholar 

  61. Gildberg A, Stenberg E. A new process for advanced utilisation of shrimp waste. Process Biochem. 2001;36:809–12.

    Article  CAS  Google Scholar 

  62. Sari YW, Alting AC, Floris R, Sanders JPM, Bruins ME. Glutamic acid production from wheat by-products using enzymatic and acid hydrolysis. Biomass Bioenergy. 2014;67:451–9.

    Article  CAS  Google Scholar 

  63. Bals B, Brehmer B, Dale B, Sanders J. Protease digestion from wheat stillage within a dry grind ethanol facility. Biotechnol Progr. 2010;27:428–34.

    Article  CAS  Google Scholar 

  64. Dlamini BC, Buys EM, Taylor JRN. Effect of sorghum type and malting on production of free amino nitrogen in conjunction with exogenous protease enzymes. J Sci Food Agric. 2014;95:417–22.

    Article  PubMed  CAS  Google Scholar 

  65. Miasnikov A, Maria MA, Power SD. Method for producing alcohol by use of a tripeptidyl peptidase. WO2016065238A1; 2016.

  66. Christensen JE, Dudley EG, Pederson JA, Steele JL. Peptidases and amino acid catabolism in lactic acid bacteria. Antonie Van Leeuwenhoek. 1999;76:217–46.

    Article  CAS  PubMed  Google Scholar 

  67. Wu J-H, Wang Z, Xu S-Y. Enzymatic production of bioactive peptides from sericin recovered from silk industry wastewater. Process Biochem. 2008;43:480–7.

    Article  CAS  Google Scholar 

  68. Piper MDW, Hong SP, Eißing T, Sealey P, Dawes IW. Regulation of the yeast glycine cleavage genes is responsive to the availability of multiple nutrients. FEMS Yeast Res. 2002;2:59–71.

    Article  CAS  PubMed  Google Scholar 

  69. Fonknechten N, Chaussonnerie S, Tricot S, Lajus A, Andreesen JR, Perchat N, Pelletier E, Gouyvenoux M, Barbe V, Salanoubat M, et al. Clostridium sticklandii, a specialist in amino acid degradation: revisiting its metabolism through its genome sequence. BMC Genomics. 2010;11:555.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  70. Alföldi L, Raskó I, Kerekes E. l-Serine deaminase of Escherichia coli. J Bacteriol. 1968;96:1512–8.

    PubMed  PubMed Central  Google Scholar 

  71. Bornaes C, Petersen JG, Holmberg S. Serine and threonine catabolism in Saccharomyces cerevisiae: the CHA1 polypeptide is homologous with other serine and threonine dehydratases. Genetics. 1992;131:531–9.

    CAS  PubMed  PubMed Central  Google Scholar 

  72. Awano N, Wada M, Mori H, Nakamori S, Takagi H. Identification and functional analysis of Escherichia coli cysteine desulfhydrases. Appl Environ Microbiol. 2005;71:4149–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  73. Newton WA, Snell EE. Catalytic properties of tryptophanase, a multifunctional pyridoxal phosphate enzyme. Proc Natl Acad Sci USA. 1964;51:382–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Lambert MP, Neuhaus FC. Factors affecting the level of alanine racemase in Escherichia coli. J Bacteriol. 1972;109:1156–61.

    CAS  PubMed  PubMed Central  Google Scholar 

  75. Siranosian KJ, Ireton K, Grossman AD. Alanine dehydrogenase (ald) is required for normal sporulation in Bacillus subtilis. J Bacteriol. 1993;175:6789–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Rudolph FB, Fromm HJ. The purification and properties of aspartase from Escherichia coli. Arch Biochem Biophys. 1971;147:92–8.

    Article  CAS  PubMed  Google Scholar 

  77. Rollan G, de Nadra MM, de Ruiz Holgado AP, Oliver G. Aspartate metabolism in Lactobacillus murinus cnrs 313. J Gen Appl Microbiol. 1985;31:403–9.

    Article  CAS  Google Scholar 

  78. Cedar H, Schwartz JH. Localization of the two l-asparaginases in anaerobically grown Escherichia coli. J Biol Chem. 1967;242:3753–5.

    CAS  PubMed  Google Scholar 

  79. Marcus M, Halpern YS. The metabolic pathway of glutamate in Escherichia coli K-12. Biochimica et Biophysica Acta (BBA). 1969;177:314–20.

    Article  CAS  Google Scholar 

  80. Miller SM, Magasanik B. Role of NAD-linked glutamate dehydrogenase in nitrogen metabolism in Saccharomyces cerevisiae. J Bacteriol. 1990;172:4927–35.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  81. Mäntsälä P, Zalkin H. Active subunits of Escherichia coli glutamate synthase. J Bacteriol. 1976;126:539–41.

    PubMed  PubMed Central  Google Scholar 

  82. Abrahamson JL, Baker LG, Stephenson JT, Wood JM. Proline dehydrogenase from Escherichia coli K12. Eur J Biochem. 2005;134:77–82.

    Article  Google Scholar 

  83. Sawers G. The anaerobic degradation of l-serine and l-threonine in enterobacteria: networks of pathways and regulatory signals. Arch Microbiol. 1998;171:1–5.

    Article  CAS  PubMed  Google Scholar 

  84. Magasanik B, Kaminskas E, Kimhi Y. Histidine degradation (Bacillus subtilis). In: Tabor H, Tabor CW, editors. Methods in enzymology, vol. 17. New York: Academic Press; 1971. p. 45–6.

    Google Scholar 

  85. Cunin R, Glansdorff N, Piérard A, Stalon V. Biosynthesis and metabolism of arginine in bacteria. Microbiol Rev. 1986;50:314–52.

    CAS  PubMed  PubMed Central  Google Scholar 

  86. Hutson S. Structure and function of branched chain aminotransferases. In: Moldave K, editor. Progress in nucleic acid research and molecular biology. New York: Academic Press; 2001. p. 175–206.

    Google Scholar 

  87. Massey LK, Sokatch JR, Conrad RS. Branched-chain amino acid catabolism in bacteria. Bacteriol Rev. 1976;40:42–54.

    CAS  PubMed  PubMed Central  Google Scholar 

  88. London J, Goldberg ME. The tryptophanase from Escherichia coli K-12: I. Purification, physical properties, and quaternary structure. J Biol Chem. 1972;247:1566–70.

    CAS  PubMed  Google Scholar 

  89. Fitzpatrick PF. Mechanism of aromatic amino acid hydroxylation. Biochem. 2003;42:14083–91.

    Article  CAS  Google Scholar 

  90. Revelles O, Espinosa-Urgel M, Fuhrer T, Sauer U, Ramos JL. Multiple and interconnected pathways for l-lysine catabolism in Pseudomonas putida KT2440. J Bacteriol. 2005;187:7500–10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  91. Numa S, Ishimura Y, Nakazawa T, Okazaki T, Hayaishi O. Enzymic studies on the metabolism of glutarate in Pseudomonas. J Biol Chem. 1964;239:3915–26.

    CAS  PubMed  Google Scholar 

  92. Hazelwood LA, Daran J-M, van Maris AJA, Pronk JT, Dickinson JR. The Ehrlich pathway for fusel alcohol production: a century of research on Saccharomyces cerevisiae metabolism. Appl Environ Microbiol. 2008;74:2259–66.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  93. Stickland LH. Studies in the metabolism of the strict anaerobes (Genus Clostridium): the reduction of proline by Cl. sporogenes. Biochem J. 1935;29:288–90.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  94. Sandeaux J, Sandeaux R, Gavach C, Grib H, Sadat T, Belhocine D, Mameri N. Extraction of amino acids from protein hydrolysates by electrodialysis. J Chem Technol Biotechnol. 1999;71:267–73.

    Article  Google Scholar 

  95. de Hollanda e Vasconcellos AM, Neto ALCS, Grassiano DM, de Oliveira CPH. Adsorption chromatography of phenylalanine. Biotechnol Bioeng. 1989;33:1324–9.

    Article  PubMed  Google Scholar 

  96. Könst PM, Turras PMCCD, Franssen MCR, Scott EL, Sanders JPM. Stabilized and immobilized Bacillus subtilis arginase for the biobased production of nitrogen containing chemicals. Adv Synth Catal. 2010;352:1493–502.

    Article  CAS  Google Scholar 

  97. Könst PM, Franssen MCR, Scott EL, Sanders JPM. Stabilized and immobilization of Trypanosoma brucei ornithine decarboxylase for the biobased production of 1,4-diaminobutane. Green Chem. 2011;13:1167–74.

    Article  CAS  Google Scholar 

  98. Ben-Bassat A, Sariaslani FS, Huang LL, Patnaik R, Lowe DJ. Methods for the preparation of para-hydroxycinnamic acid and cinnamic acid at alkaline pH. US8003356B2. US; 2011.

  99. Shen Y, Zhao L, Li Y, Zhang L, Shi G. Synthesis of β-alanine from l-aspartate using l-aspartate-α-decarboxylase from Corynebacterium glutamicum. Biotechnol Lett. 2014;36:1681–6.

    Article  CAS  PubMed  Google Scholar 

  100. Li N, Chou H, Xu Y. Improved cadaverine production from mutant Klebsiella oxytoca lysine decarboxylase. Eng Life Sci. 2015;16:299–305.

    Article  CAS  Google Scholar 

  101. Oh YH, Kang K-H, Kwon MJ, Choi JW, Joo JC, Lee SH, Yang Y-H, Song BK, Kim I-K, Yoon K-H, et al. Development of engineered Escherichia coli whole-cell biocatalysts for high-level conversion of l-lysine into cadaverine. J Ind Microbiol Biotechnol. 2015;42:1481–91.

    Article  CAS  PubMed  Google Scholar 

  102. Pukin AV, Boeriu CG, Scott EL, Sanders JPM, Franssen MCR. An efficient enzymatic synthesis of 5-aminovaleric acid. J Mol Catal B Enzym. 2010;65:58–62.

    Article  CAS  Google Scholar 

  103. Lammens TM, De Biase D, Franssen MCR, Scott EL, Sanders JPM. The application of glutamic acid α-decarboxylase for the valorization of glutamic acid. Green Chem. 2009;11:1562–7.

    Article  CAS  Google Scholar 

  104. Hossain GS, Li J, Shin HD, Chen RR, Du G, Liu L, Chen J. Bioconversion of l-glutamic acid to α-ketoglutaric acid by an immobilized whole-cell biocatalyst expressing l-amino acid deaminase from Proteus mirabilis. J Biotechnol. 2014;169:112–20.

    Article  CAS  PubMed  Google Scholar 

  105. Ödman P, Wellborn WB, Bommarius AS. An enzymatic process to α-ketoglutarate from l-glutamate: the coupled system l-glutamate dehydrogenase/NADH oxidase. Tetrahedron Asymmetry. 2004;15:2933–7.

    Article  CAS  Google Scholar 

  106. Sattler JH, Fuchs M, Tauber K, Mutti FG, Faber K, Pfeffer J, Haas T, Kroutil W. Redox self-sufficient biocatalyst network for the amination of primary alcohols. Angew Chem Int Ed. 2012;51:9156–9.

    Article  CAS  Google Scholar 

  107. Busto E, Richter N, Grischek B, Kroutil W. Biocontrolled formal inversion or retention of l-α-amino acids to enantiopure (R)- or (S)-hydroxyacids. Chem A Eur J. 2014;20:11225–8.

    Article  CAS  Google Scholar 

  108. Fuchs M, Tauber K, Sattler J, Lechner H, Pfeffer J, Kroutil W, Faber K. Amination of benzylic and cinnamic alcohols via a biocatalytic, aerobic, oxidation-transamination cascade. RSC Adv. 2012;2:6262–5.

    Article  CAS  Google Scholar 

  109. Khelifa N, Butel M-J, Rimbault A. Synthesis of 2-hydroxy acid from 2-amino acid by Clostridium butyricum. Bioorg Med Chem Lett. 1998;8:3429–34.

    Article  CAS  PubMed  Google Scholar 

  110. Pollegioni L, Motta P, Molla G. l-Amino acid oxidase as biocatalyst: a dream too far? Appl Microbiol Biotechnol. 2013;97:9323–41.

    Article  CAS  PubMed  Google Scholar 

  111. Alexandre F-R, Pantaleone DP, Taylor PP, Fotheringham IG, Ager DJ, Turner NJ. Amine–boranes: effective reducing agents for the deracemisation of d,l-amino acids using l-amino acid oxidase from Proteus myxofaciens. Tetrahedron Lett. 2002;43:707–10.

    Article  CAS  Google Scholar 

  112. Huo Y-X, Cho KM, Rivera JGL, Monte E, Shen CR, Yan Y, Liao JC. Conversion of proteins into biofuels by engineering nitrogen flux. Nat Biotechnol. 2011;29:346.

    Article  CAS  PubMed  Google Scholar 

  113. Surette MG, Bassler BL. Quorum sensing in Escherichia coli and Salmonella typhimurium. Proc Natl Acad Sci USA. 1998;95:7046.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  114. Huo Y-X, Wernick DG, Liao JC. Toward nitrogen neutral biofuel production. Curr Opin Biotechnol. 2012;23:406–13.

    Article  CAS  PubMed  Google Scholar 

  115. Liu F, Wu W, Tran-Gyamfi MB, Jaryenneh JD, Zhuang X, Davis RW. Bioconversion of distillers’ grains hydrolysates to advanced biofuels by an Escherichia coli co-culture. Microb Cell Fact. 2017;16:192.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  116. Mikami Y, Yoneda H, Tatsukami Y, Aoki W, Ueda M. Ammonia production from amino acid-based biomass-like sources by engineered Escherichia coli. AMB Express. 2017;7:83.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  117. Choi K-Y, Wernick DG, Tat CA, Liao JC. Consolidated conversion of protein waste into biofuels and ammonia using Bacillus subtilis. Metab Eng. 2014;23:53–61.

    Article  CAS  PubMed  Google Scholar 

  118. Schneider J, Wendisch VF. Putrescine production by engineered Corynebacterium glutamicum. Appl Microbiol Biotechnol. 2010;9:859–68.

    Article  CAS  Google Scholar 

  119. Deepchand K. System for the production of electricity, leaf protein and single cell protein from sugar cane tops and leaves. Sol Energy. 1985;35:477–82.

    Article  CAS  Google Scholar 

  120. Voss I, Steinbüchel A. Application of a KDPG-aldolase gene-dependent addiction system for enhanced production of cyanophycin in Ralstonia eutropha strain H16. Metab Eng. 2006;8:66–78.

    Article  CAS  PubMed  Google Scholar 

  121. Diniz Simone C, Voss I, Steinbüchel A. Optimization of cyanophycin production in recombinant strains of Pseudomonas putida and Ralstonia eutropha employing elementary mode analysis and statistical experimental design. Biotechnol Bioeng. 2006;93:698–717.

    Article  PubMed  CAS  Google Scholar 

  122. Okafor N. Modern industrial microbiology and biotechnology. Enfield: Science Publishers; 2007.

    Google Scholar 

  123. Ivanov K, Stoimenova A, Obreshkova D, Saso L. Biotechnology in the production of pharmaceutical industry ingredients: amino acids. Biotechnol Biotechnol Equip. 2013;27:3620–6.

    Article  CAS  Google Scholar 

  124. Black SN, Davey RJ. Crystallisation of amino acids. J Cryst Growth. 1988;90:136–44.

    Article  CAS  Google Scholar 

  125. Bornscheuer UT, Huisman GW, Kazlauskas RJ, Lutz S, Moore JC, Robins K. Engineering the third wave of biocatalysis. Nature. 2012;485:185.

    Article  CAS  PubMed  Google Scholar 

  126. Franssen MCR, Steunenberg P, Scott EL, Zuilhof H, Sanders JPM. Immobilised enzymes in biorenewables production. Chem Soc Rev. 2013;42:6491–533.

    Article  CAS  PubMed  Google Scholar 

  127. Cheng J, Ding L, Xia A, Lin R, Li Y, Zhou J, Cen K. Hydrogen production using amino acids obtained by protein degradation in waste biomass by combined dark- and photo-fermentation. Bioresour Technol. 2015;179:13–9.

    Article  CAS  PubMed  Google Scholar 

  128. Sangavai C, Chellapandi P. Amino acid catabolism-directed biofuel production in Clostridium sticklandii: an insight into model-driven systems engineering. Biotechnol Rep. 2017;16:32–43.

    Article  CAS  Google Scholar 

  129. Liu J, Zhou J, Wang L, Ma Z, Zhao G, Ge Z, Zhu H, Qiao J. Improving nitrogen source utilization from defatted soybean meal for nisin production by enhancing proteolytic function of Lactococcus lactis F44. Sci Rep. 2017;7:6189.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  130. Ohta K, Beall DS, Mejia JP, Shanmugam KT, Ingram LO. Genetic improvement of Escherichia coli for ethanol production: chromosomal integration of Zymomonas mobilis genes encoding pyruvate decarboxylase and alcohol dehydrogenase II. Appl Environ Microbiol. 1991;57:893–900.

    CAS  PubMed  PubMed Central  Google Scholar 

  131. Eckert C, Xu W, Xiong W, Lynch S, Ungerer J, Tao L, Gill R, Maness P-C, Yu J. Ethylene-forming enzyme and bioethylene production. Biotechnol Biofuels. 2014;7:33.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  132. Koivistoinen OM, Kuivanen J, Barth D, Turkia H, Pitkänen J-P, Penttilä M, Richard P. Glycolic acid production in the engineered yeasts Saccharomyces cerevisiae and Kluyveromyces lactis. Microb Cell Fact. 2013;12:82.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  133. Niu D, Tian K, Prior BA, Wang M, Wang Z, Lu F, Singh S. Highly efficient l-lactate production using engineered Escherichia coli with dissimilar temperature optima for l-lactate formation and cell growth. Microb Cell Fact. 2014;13:78.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  134. Nakamura CE, Whited GM. Metabolic engineering for the microbial production of 1,3-propanediol. Curr Opin Biotechnol. 2003;14:454–9.

    Article  CAS  PubMed  Google Scholar 

  135. Hanai T, Atsumi S, Liao JC. Engineered synthetic pathway for isopropanol production in Escherichia coli. Appl Environ Microbiol. 2007;73:7814–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  136. Rathnasingh C, Raj SM, Lee Y, Catherine C, Ashok S, Park S. Production of 3-hydroxypropionic acid via malonyl-CoA pathway using recombinant Escherichia coli strains. J Biotechnol. 2012;157:633–40.

    Article  CAS  PubMed  Google Scholar 

  137. Saxena R, Anand P, Saran S, Isar J, Agarwal L. Microbial production and applications of 1, 2-propanediol. Indian J Microbiol. 2010;50:2–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  138. Straathof AJ, Sie S, Franco TT, Van der Wielen LA. Feasibility of acrylic acid production by fermentation. Appl Microbiol Biotechnol. 2005;67:727–34.

    Article  CAS  PubMed  Google Scholar 

  139. Walther T, François JM. Microbial production of propanol. Biotechnol Adv. 2016;34:984–96.

    Article  CAS  PubMed  Google Scholar 

  140. Saini M, Li S-Y, Wang ZW, Chiang C-J, Chao Y-P. Systematic engineering of the central metabolism in Escherichia coli for effective production of n-butanol. Biotechnol Biofuels. 2016;9:1–10.

    Article  CAS  Google Scholar 

  141. Atsumi S, Wu T-Y, Eckl E-M, Hawkins SD, Buelter T, Liao JC. Engineering the isobutanol biosynthetic pathway in Escherichia coli by comparison of three aldehyde reductase/alcohol dehydrogenase genes. Appl Microbiol Biotechnol. 2010;85:651–7.

    Article  CAS  PubMed  Google Scholar 

  142. Ku JT, Simanjuntak W, Lan EI. Renewable synthesis of n-butyraldehyde from glucose by engineered Escherichia coli. Biotechnol Biofuels. 2017;10:291.

    Article  PubMed  PubMed Central  Google Scholar 

  143. Yim H, Haselbeck R, Niu W, Pujol-Baxley C, Burgard A, Boldt J, Khandurina J, Trawick JD, Osterhout RE, Stephen R, et al. Metabolic engineering of Escherichia coli for direct production of 1,4-butanediol. Nat Chem Biol. 2011;7:445.

    Article  CAS  PubMed  Google Scholar 

  144. Lee SJ, Lee D-Y, Kim TY, Kim BH, Lee J, Lee SY. Metabolic engineering of Escherichia coli for enhanced production of succinic acid based on genome comparison and in silico gene knockout simulation. Appl Environ Microbiol. 2005;71:7880–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  145. Sengupta S, Jonnalagadda S, Goonewardena L, Juturu V. Metabolic engineering of a novel muconic acid biosynthesis pathway via 4-hydroxybenzoic acid in Escherichia coli. Appl Environ Microbiol. 2015;81:8037–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  146. Kim J, Seo H-M, Bhatia SK, Song H-S, Kim J-H, Jeon J-M, Choi K-Y, Kim W, Yoon J-J, Kim Y-G. Production of itaconate by whole-cell bioconversion of citrate mediated by expression of multiple cis-aconitate decarboxylase (cadA) genes in Escherichia coli. Sci Rep. 2017;7:39768.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  147. Lindberg P, Park S, Melis A. Engineering a platform for photosynthetic isoprene production in cyanobacteria, using Synechocystis as the model organism. Metab Eng. 2010;12:70–9.

    Article  CAS  PubMed  Google Scholar 

  148. Yang P, Liu W, Cheng X, Wang J, Wang Q, Qi Q. A new strategy for production of 5-aminolevulinic acid in recombinant Corynebacterium glutamicum with high yield. Appl Environ Microbiol. 2016;82:2709–17.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  149. Raj K, Partow S, Correia K, Khusnutdinova AN, Yakunin AF, Mahadevan R. Biocatalytic production of adipic acid from glucose using engineered Saccharomyces cerevisiae. Metab Eng Commun. 2018;6:28–32.

    Article  PubMed  PubMed Central  Google Scholar 

  150. Kang Z, Gong X. Biosynthesis of glucaric acid with microbial cell factories. J Microb Biotechnol. 2016;5:36–8.

    CAS  Google Scholar 

  151. Chae TU, Ko Y-S, Hwang K-S, Lee SY. Metabolic engineering of Escherichia coli for the production of four-, five- and six-carbon lactams. Metab Eng. 2017;41:82–91.

    Article  CAS  PubMed  Google Scholar 

  152. Wang C, Yoon S-H, Jang H-J, Chung Y-R, Kim J-Y, Choi E-S, Kim S-W. Metabolic engineering of Escherichia coli for α-farnesene production. Metab Eng. 2011;13:648–55.

    Article  CAS  PubMed  Google Scholar 

  153. Lin J-H, Lee M-C, Sue Y-S, Liu Y-C, Li S-Y. Cloning of phaCAB genes from thermophilic Caldimonas manganoxidans in Escherichia coli for poly(3-hydroxybutyrate) (PHB) production. Appl Microbiol Biotechnol. 2017;101:6419–30.

    Article  CAS  PubMed  Google Scholar 

  154. Tseng IT, Chen Y-L, Chen C-H, Shen Z-X, Yang C-H, Li S-Y. Exceeding the theoretical fermentation yield in mixotrophic Rubisco-based engineered Escherichia coli. Metab Eng. 2018;47:445–52.

    Article  CAS  PubMed  Google Scholar 

Download references

Authors’ contributions

SYL drafted the manuscript; ISN and PTC helped writing of “Potential sources of protein waste” and “Protein recovery and hydrolysis” sections; CJC and YPC finalized the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

Not applicable.

Ethics approval and consent to participate

Not applicable.

Funding

This work is supported by Ministry of Science and Technology (MOST 105-2221-E-035-085-MY3 and 105-2221-E-039-010-MY3), Taiwan.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Authors and Affiliations

  1. Department of Chemical Engineering, National Chung Hsing University, Taichung, 402, Taiwan

    Si-Yu Li

  2. Department of Chemical Engineering, National Cheng Kung University, Tainan, 70101, Taiwan

    I-Son Ng

  3. Department of Biotechnology, Southern Taiwan University of Science and Technology, Tainan, 710, Taiwan

    Po Ting Chen

  4. Department of Medical Laboratory Science and Biotechnology, China Medical University, No. 91, Hsueh-Shih Road, Taichung, 40402, Taiwan

    Chung-Jen Chiang

  5. Department of Chemical Engineering, Feng Chia University, 100 Wenhwa Road, Taichung, 40724, Taiwan

    Yun-Peng Chao

  6. Department of Health and Nutrition Biotechnology, Asia University, Taichung, 41354, Taiwan

    Yun-Peng Chao

  7. Department of Medical Research, China Medical University Hospital, Taichung, 40447, Taiwan

    Yun-Peng Chao

Authors
  1. Si-Yu Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. I-Son Ng
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Po Ting Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chung-Jen Chiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yun-Peng Chao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Chung-Jen Chiang or Yun-Peng Chao.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Li, SY., Ng, IS., Chen, P.T. et al. Biorefining of protein waste for production of sustainable fuels and chemicals. Biotechnol Biofuels 11, 256 (2018). https://doi.org/10.1186/s13068-018-1234-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13068-018-1234-5

Keywords

  • Biorefinery
  • Protein waste
  • Biomass
  • Bio-based chemicals
  • Metabolic engineering

Biotechnology for Biofuels and Bioproducts

ISSN: 2731-3654

Contact us