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Background High-throughput metabolomics analytical methodology is needed for population-scale studies of bioenergy-relevant feedstocks such as poplar (Populus sp.). Here, the authors report the relative abundance of secondary aromatic metabolites in Populus trichocarpa leaves rapidly estimated using pyrolysis-molecular beam mass spectrometry (py-MBMS). A training set of leaves was analyzed in conjunction with GC/MS analysis of extracts to determine key spectral features associated with the aromatic metabolites and build PLS models to predict the relative composition of extractable aromatic metabolites in a second test set of leaves. The relative abundance of major secondary aromatic metabolites for the test set of leaves was validated by GC/MS analysis of extracts. Results The Pearson correlation coefficient for the relative abundance of aromatic metabolites based on ranking between GC/MS analysis and py-MBMS analysis of the test leaf set was 0.86 with R2 = 0.76 using a simplified prediction approach from select ions in MBMS spectra. Metabolites most influential to py-MBMS spectral features in the training set included the following compounds: catechol, salicortin, salicyloyl-coumaroyl-glucoside, a-salicyloylsalicin, tremulacin, and to a lesser degree: benzyl-coumaroyl glucoside, benzoyl-salicyloylsalicin, tremuloidin, salireposide, trichocarpin, salicylic acid, salicyl-salicylic acid-2-O-glucoside, phenethyl-tremuloidin, coumaroyl-tremuloidin, 2,6-cyclohexadiene-1,2-diol, and salicyl-tremuloidin. Ions in py-MBMS spectra with the highest correlation to the abundance of aromatic secondary metabolites, particularly those previously mentioned as determined by GC/MS analysis of extracts, included m/z 68, 71, 77, 91, 94, 105, 107, 108, and 122, and were used to develop the simplified prediction approach without PLS models or a priori measurements. Conclusions The simplified py-MBMS method is capable of rapidly screening leaf tissue for relative abundance of extractable aromatic secondary metabolites to enable prioritization of samples in large populations requiring comprehensive metabolomics that will ultimately inform plant systems biology models and advance the development of optimized biomass feedstocks for renewable fuels and chemicals.

Biomass recalcitrance, the inherent resistance of plants towards deconstruction, negatively affects the viability of biorefineries. This trait is not only dictated by the properties of the biomass but also by the conversion system used and its interactions with specific features of the biomass. Here, biomass recalcitrance to anaerobic digestion (AD) was assessed using a biomethanation potential (BMP) assay. Plant material (n = 94) was selected from a large population of natural Salix viminalis accessions, previously evaluated for biomass recalcitrance using hydrothermal pretreatment–enzymatic hydrolysis. Correlations between yields from the two biological conversion systems were evaluated, as well as the influence of biomass compositional features, analyzed by pyrolysis-molecular beam mass spectrometry (py-MBMS), and other biomass physical properties on conversion performance. BMP values averaged 198.0 Nml CH4/g biomass after 94 days, ranging from 28.6 to 245.9. S lignin and carbohydrate-derived spectral features were positively correlated with performance under both systems, whereas G lignin, p-coumaric acid, and ferulic acid-derived ions were negatively correlated with yields and rates. Most spectral features were more strongly correlated with enzymatic hydrolysis yields compared to methane production. For early-stage methane production and rate, recalcitrance factors were similar compared to enzymatic hydrolysis, with weaker correlations observed at later timepoints. The results suggest that although variation in methane potential was considerably lower than enzymatic hydrolysis yields, a reduced recalcitrance under this system will still be of importance to improve early conversion rates. Spectral features of low methane-producing samples indicate the presence of inhibitory substances, warranting further study.

Softwood is an abundant resource; however, currently its utilization for bioconversion to obtain platform sugars is limited. Pinus taeda trees which were genetically modified to either produce S lignin or to decrease lignin content were characterized with a suite of analytic techniques. Syringyl lignin was visualized in the secondary xylem of one genetic line with Maule staining. Solid-state nuclear magnetic resonance identified the S lignin units were coupled into the lignin through β-O-4 linkages, and thioacidolysis measured approximately 13% S lignin content in the same sample. Reductions of the lignin of as much as 33% were observed in the transgenics. To better understand how these modifications affect bioconversion, their amenability to hot water and dilute acid pretreatments and enzymatic hydrolysis was evaluated. Lignin reductions resulted in 1.9–3.2-fold increases in glucose release compared to the control. However, no apparent benefit was observed by S lignin incorporation at the concentrations reported in this study. These results highlight the potential for softwood cell wall properties to be improved for bioenergy/biochemical applications.

Pyrolysis-GC/mass spectrometry (Py-GC/MS) and thermogravimetric analysis (TGA) was used to analyze the thermal decomposition of several endocarp sources, namely, coconut shells, walnut shells, peach pits, and olive pits, as well as their respective lignin fractions. To determine whether extraction procedures influenced pyrolysate composition and thermal decomposition processes, lignin was extracted from these feedstocks using two different procedures based on the use of formic acid and sulfuric acid (National Renewable Energy Laboratory (NREL) laboratory analytical procedure), after which the lignin-derived pyrolysates and TGA profiles were compared. Qualitative analysis of the distribution of pyrolysates provided predictive information about the structure and composition of the lignin in each sample. Results suggest that the lignin extract pyrolysates contained a different distribution of linkages and monomers in comparison to the non-extracted biomass, suggesting that lignin processing can influence bio-oil composition. Moreover, we identify the types of products obtainable by pyrolysis of these feedstocks and their lignin extracts. Heteronuclear single quantum coherence nuclear magnetic resonance spectroscopy (HSQC NMR) and Fourier transform infrared spectroscopy (FTIR) were also used to elucidate the structures of the extracted lignin samples.