Research Conducted at Karunya Institute of Technology & SciencesH as Provided New Information about Machine Learning (MachineLearning-based Optim ization for Enhanced Pullulan Recovery From Aureobasidium Pullulans)

在Karunya技术和科学研究所进行的研究提供的机器学习新信息（机器学习）基于学习的优化方法提高短梗霉中普鲁兰多糖的回收

Robotics & Machine Learning Daily News2024，Issue(Nov.11) ：31-32.

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Research Conducted at Karunya Institute of Technology & SciencesH as Provided New Information about Machine Learning (MachineLearning-based Optim ization for Enhanced Pullulan Recovery From Aureobasidium Pullulans)

在Karunya技术和科学研究所进行的研究提供的机器学习新信息（机器学习）基于学习的优化方法提高短梗霉中普鲁兰多糖的回收

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据新闻报道在印度泰米尔纳德邦，NewsRx编辑的研究表明，“溶剂萃取方案显著地”影响从无细胞发酵液中回收胞外多糖的得率和纯度。本研究以甲醇、乙醇、异丙醇、丙酮和peg-6000为原料，对普鲁兰多糖的回收量进行了比较(PR)、蔗糖当量(SE)和沉淀物杂质(PI)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of Tamil Nadu, India, by NewsRx editors, research stated, “The solvent extraction protocol significantlyinflue nces the yield and purity of the exopolysaccharide recovery from cell-free broth . In this study, methanol, ethanol, isopropanol, acetone, and PEG-6000 were comp ared for the amount of pullulan recovery(PR), sucrose equivalent (SE), and prot ein impurity (PI) of the precipitate.”

Key words

Tamil Nadu/India/Asia/Cyborgs/Emergi ng Technologies/Machine Learning/Karunya Institute of Technology & Sciences

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出版年

2024

Robotics & Machine Learning Daily News

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