Assessing the Application of Near-Infrared Spectroscopy to Determine Saccharification Efficiency of Corn Biomass

IF 3.1 3区工程技术 Q3 ENERGY & FUELS

BioEnergy Research Pub Date : 2024-04-23 DOI:10.1007/s12155-024-10761-4

Sonia Pereira-Crespo, Noemi Gesteiro, Ana López-Malvar, Leonardo Gómez, Rogelio Santiago

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Abstract

Nowadays, in the bioethanol production process, improving the simplicity and yield of cell wall saccharification procedure represent the main technical hurdles to overcome. This work evaluated the application of a rapid and cost-effective technology such as near -infrared spectroscopy (NIRS) for easily predict saccharification efficiency from corn stover biomass. Calibration process focussing on the number of samples and the genetic background of the maize inbred lines were tested; while Modified Partial Least Squares Regression (MPLS) and Multiple Linear Regression (MLR) were assessed in predictions. The predictive capacity of the NIRS models was mainly determined by the coefficient of determination (r²ev) and the index of prediction to deviation (RPDev) in external validation. Overall, we could check a better efficiency of the NIRS calibration process for saccharification using larger number of observations (1500 sample set) and genetic backgrounds; while MPLS regression provided better prediction statistics (r²ev = 0.80; RPDev = 2.21) compared to MLR (r²ev = 0.68; RPDev = 1.75). These results indicate that NIRS could be successfully implemented as a large-phenotyping tool in order to test the saccharification potential of corn biomass.

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评估应用近红外光谱测定玉米生物质的糖化效率

目前，在生物乙醇生产过程中，提高细胞壁糖化过程的简便性和产量是需要克服的主要技术障碍。这项工作评估了近红外光谱（NIRS）等快速、低成本技术的应用情况，以轻松预测玉米秸秆生物质的糖化效率。测试了以样本数量和玉米近交系遗传背景为重点的校准过程；同时对预测中的修正最小二乘法回归（MPLS）和多元线性回归（MLR）进行了评估。近红外光谱模型的预测能力主要取决于外部验证中的决定系数（r2ev）和预测偏差指数（RPDev）。总体而言，使用更多的观测数据（1500 个样本集）和遗传背景，我们可以检测到 NIRS 糖化校准过程的效率更高；与 MLR（r2ev = 0.68；RPDev = 1.75）相比，MPLS 回归提供了更好的预测统计数据（r2ev = 0.80；RPDev = 2.21）。这些结果表明，近红外光谱技术可以成功地作为一种大型表型工具来测试玉米生物质的糖化潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BioEnergy Research ENERGY & FUELS-ENVIRONMENTAL SCIENCES

CiteScore

6.70

自引率

8.30%

发文量

174

审稿时长

3 months

期刊介绍： BioEnergy Research fills a void in the rapidly growing area of feedstock biology research related to biomass, biofuels, and bioenergy. The journal publishes a wide range of articles, including peer-reviewed scientific research, reviews, perspectives and commentary, industry news, and government policy updates. Its coverage brings together a uniquely broad combination of disciplines with a common focus on feedstock biology and science, related to biomass, biofeedstock, and bioenergy production.