Prediction of Carboxylic and Polyphenolic Chemical Feedstock Quantities in Sweet Sorghum,Energy & Fuels

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Prediction of Carboxylic and Polyphenolic Chemical Feedstock Quantities in Sweet Sorghum
Energy & Fuels ( IF 5.2 ) Pub Date : 2018-03-05 00:00:00 , DOI: 10.1021/acs.energyfuels.8b00491
Minori Uchimiya ₁ , Joseph E. Knoll ₂

Affiliation

Quantitative chemical phenotyping is in an increasing demand to develop sweet sorghum genotypes targeted to accumulate carboxylate and polyphenolic secondary products as the plant-derived feedstocks for renewable biobased products including plastics. Of 24 sweet sorghum genotypes investigated, No. 5 Gambela (i) accumulated as much as sixfold higher (p < 0.05) trans-aconitic acid and redox-active secondary product concentrations and (ii) was most susceptible to lodging and was latest flowering. Partial least-squares calibration and prediction models were developed based on UV/visible spectra of juice and bagasse. Two-year field experiment indicated the accumulation of secondary products (carboxylates, polyphenolic chromophores, and alkali/alkaline earth metals) at the expense of fermentable sugar production. Liquid- (juice and methanol extract of bagasse) and solid-phase (bagasse without extraction) fluorescence excitation emission spectrophotometry with parallel factor analysis indicated the replacement of aromatic fingerprints by aliphatic structures from 2015 to 2016 in bagasse. In contrast, aromatic fluorophores accumulated in juice from 2015 to 2016, along with an increased UV/visible absorbance at 320 nm. Pearson’s correlation analysis showed an interplay of the environmental (planting year) and genotype factors on the growth and chemical traits that could provide chemical speciation-based, bottom-up QA/QC protocols for biorefineries and chemical plants receiving the sweet sorghum bioenergy feedstock.

中文翻译：

甜高粱中羧酸和多酚化学原料的数量预测

对定量化学表型的需求不断增长，以开发甜高粱基因型，以积累羧酸盐和多酚副产物作为植物衍生的可再生生物基产品（包括塑料）的原料。在调查的24个甜高粱基因型中，第5号甘贝（i）积累的反式高六倍（p <0.05）-乌头酸和氧化还原活性副产物的浓度和（ii）最容易倒伏，并且最近开花。基于果汁和甘蔗渣的紫外/可见光谱，开发了部分最小二乘校正和预测模型。两年的田间试验表明，次级产品（羧酸盐，多酚发色团和碱金属/碱土金属）的积累以可发酵糖的生产为代价。液体（甘蔗渣的汁液和甲醇提取物）和固相（甘蔗渣的未提取物）荧光激发发射分光光度法（具有并行因子分析）表明，从2015年到2016年，甘蔗渣中的脂肪族结构取代了芳香族指纹。相比之下，2015年至2016年，果汁中积累了芳香族荧光团，以及在320 nm处增加的UV /可见光吸收率。皮尔森（Pearson）的相关性分析表明，环境（种植年）和基因型因素在生长和化学特性上的相互作用可以为生物炼油厂和接收甜高粱生物能源原料的化工厂提供基于化学形态的，自下而上的QA / QC方案。

更新日期：2018-03-05

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