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• 生物工程 •    下一篇

出芽短梗霉发酵液中聚苹果酸定量近红外模型的建立

张英昊1,乔长晟2   

  1. 1. 天津科技大学生物工程学院
    2. 天津科技大学生物工程学院;工业发酵微生物教育部重点实验室(天津科技大学)
  • 收稿日期:2019-05-04 修回日期:2020-02-24 出版日期:2020-04-25 发布日期:2020-04-20
  • 通讯作者: 乔长晟 E-mail:qiaochangsheng@tust.edu.cn
  • 基金资助:
    滨海-中关村知行卓越创新创业实验室建设;天津市食品绿色制造及安全校企协同创新实验室建设;工业微生物优良菌种选育与发酵技术公共服务平台

Construction of NIR determination model of polymalic acid in Aureobasidium pullulans fermentation

Zhang yinghao,   

  • Received:2019-05-04 Revised:2020-02-24 Online:2020-04-25 Published:2020-04-20

摘要: 本文利用近红外光谱技术,结合偏最小二乘法,建立出芽短梗霉发酵液中聚苹果酸质量浓度的近红外预测模型。在波数为5638~6024cm-1,使用多元散射校正,标准正规变换,Savitzky-Golay平滑去噪以及一阶导数法作为光谱预处理手段的条件下,获得最优的聚苹果酸质量浓度预测模型。该模型针对聚苹果酸分子中的亚甲基和次甲基的C-H键的二倍频吸收进行定量,内部验证集均方根误差为1.492,相关系数为0.9853。通过外部验证,该模型能够很好的检测聚苹果酸的浓度,可以用于培养基优化和诱变菌种筛选。

关键词: 关键词:近红外光谱, 偏最小二乘算法, R语言, 聚苹果酸, 出芽短梗霉

Abstract: Abstract: An NIR model to predict polymalic acid concentrations in Aureobasidium Pullulans fermentation based on near-infared spectroscopy and partial least square algorithm was constructed in this study.The optimized model was confirmed at waveband from 5638 to 6024cm-1 and a series of pre-processing methods were applied including multiplicative scatter correlation, standard normal variation, Savitzky-Golay denoising and first derivative spectrums. Internal RMSEP and Rp of the model equal 1.492 and 0.9853,respectively, with the determination of PMLA aiming at the first overtone of C-H bond in methylene and methine groups. Furthermore,this model could predict concentration of polymalic acid and could be well-used in medium optimization and mutated strains screening according to results of external tests.

Key words: Keywords: Near-infared spectroscopy, Partial least square algorithm, R language, Polymalic acid, Aureobasidium pullulans

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