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<p>Microwave-assisted alkali pretreatment was applied to the delignification of <i>Arachis hypogaea</i> L. shell as a critical preparatory step for selective lactic acid (LA) production via hydrothermal processing&#xa0;method. Initial classical method of optimization approach applied to pretreat <i>A. hypogaea</i> L. shell biomass for remove phenolic content. The pretreatment conditions (0.4&#xa0;M NaOH, 4&#xa0;min, 18.4% biomass loading), resulted in 625&#xa0;mg&#xa0;g<sup>−1</sup> TRS (total reducing sugar) and 203 mgGAE g<sup>−1</sup> TPC (total phenolic content), which was about 5.6 times more than that of untreated <i>A. hypogaea</i> L. biomass. The process efficiently converts monosaccharide-rich products into 68.0% of LA and 25.5% of formic acid (FA) at 120&#xa0;°C for 240&#xa0;min under the hydrothermal method. Additionally, random forest (RF) and extreme gradient boosting (XGBoost) models were utilized to predict TPC and RSY in the alkali pretreatment process of <i>A. hypogaea</i> L. biomass. Analysis of cross-validation and testing errors revealed that the RF model exhibited the highest predictive accuracy for TPC, with a testing <i>R</i>2 of 0.93, and for RSY, with a testing <i>R</i>2 of 0.98. The study also found that pretreatment enhanced LA production and cellulose conversion, underscoring the potential of this approach&#xa0;used for industrial-scale biomass refinery applications.</p> Graphical abstract <p></p>

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Optimization of delignification and organic acid synthesis from Arachis hypogaea L. shell: a comparison of machine learning approaches and experimental techniques

  • 期刊论文

  • 发表日期：

    2025年2月7日

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  • Alice Jasmine David,
  • Aravind kumar Kannam,
  • Shemaiah Sam,
  • Manoj Kumar Narasimhan,
  • Tamilarasan Krishnamurthi

摘要

Microwave-assisted alkali pretreatment was applied to the delignification of Arachis hypogaea L. shell as a critical preparatory step for selective lactic acid (LA) production via hydrothermal processing method. Initial classical method of optimization approach applied to pretreat A. hypogaea L. shell biomass for remove phenolic content. The pretreatment conditions (0.4 M NaOH, 4 min, 18.4% biomass loading), resulted in 625 mg g−1 TRS (total reducing sugar) and 203 mgGAE g−1 TPC (total phenolic content), which was about 5.6 times more than that of untreated A. hypogaea L. biomass. The process efficiently converts monosaccharide-rich products into 68.0% of LA and 25.5% of formic acid (FA) at 120 °C for 240 min under the hydrothermal method. Additionally, random forest (RF) and extreme gradient boosting (XGBoost) models were utilized to predict TPC and RSY in the alkali pretreatment process of A. hypogaea L. biomass. Analysis of cross-validation and testing errors revealed that the RF model exhibited the highest predictive accuracy for TPC, with a testing R2 of 0.93, and for RSY, with a testing R2 of 0.98. The study also found that pretreatment enhanced LA production and cellulose conversion, underscoring the potential of this approach used for industrial-scale biomass refinery applications.

Graphical abstract