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Table 6 Benefits and shortcomings associated with methods used for S/G analysis reported in this work

From: Comparison of methodologies used to determine aromatic lignin unit ratios in lignocellulosic biomass

Method

Benefit

Shortcoming

Thioacidolysis

Small sample size, high reproducibility, wealth of historical data

Potential bias for aromatic lignin units released by β-O-4 linkages not being representative (although can be advantage for specificity), sensitive to other components in biomass impacting reaction, laborious sample preparation

Py-MBMS

Small sample size, rapid analysis, high reproducibility, multiple cell wall phenotype measurements possible

Destructive, requires comparison within species, potential bias for aromatic lignin units released by thermally labile linkages, overlap of some lignin-derived ions with non-lignin-derived species, semi-quantitative

1H–13C HSQC

Representative of whole cell wall, multiple cell wall phenotype measurements possible particularly including lignin linkage information

Semi-quantitative, large sample size requirement, long analysis time (which can be overcome if cryoprobe is available)

ssNMR Manders

Non-destructive

Underestimates contribution from S-lignin units

ssNMR Deconvolution

Non-destructive, representative of whole cell wall, multiple cell wall phenotype measurements possible

Low throughput (can be overcome if DNP hardware is available), sensitive to incorrect initial peak-fitting parameters, not appropriate for grass species, need other a priori data