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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