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基于NIR定量分析模型快速预测酶解蒲公英中多糖的含量
郑越,李霞,刘娜,王园,齐景伟*,安晓萍
0
(内蒙古农业大学 动物科学学院/内蒙古自治区草食家畜饲料工程技术研究中心/国家乳业技术创新中心奶牛繁育与养殖技术研究中心, 呼和浩特 010018)
摘要:
为快速实时评价酶解中草药生产过程中的品质,本研究对5种蒲公英进行酶解,共收集125个酶解蒲公英样品。利用偏最小二乘回归法(PLSR)建立酶解蒲公英多糖的NIR定量分析模型。结果表明:1)使用标准正态变换(SNV)+去趋势(Detrend)+二阶导数(SD)的方法对光谱进行预处理,光谱范围为908~1 670 nm,主因子数为2时,酶解蒲公英多糖预测模型的建模效果最佳。2)模型校正集相关系数(R2c)为0.917 5,校正集均方根误差(RMSEC)为7.714 4,校正集标准偏差(SEC)为7.753 3,校正集相对分析误差(RPDc)最高为3.480 9;验证集相关系数(R2p)为0.878 4,验证集均方根误差(RMSECV)为9.411 5,验证集标准偏差(SEP)为9.458 2,验证集相对分析误差(RPDp)为2.867 2。3)外部检验结果显示,样品的预测值和实测值间差异不显著(P>0.05)。综上,本研究建立的NIR分析模型可对酶解蒲公英的多糖含量进行快速无损的实时监测,为蒲公英酶解过程的质量控制提供技术支持。
关键词:  近红外光谱法  定量分析模型  多糖  酶解蒲公英
DOI:10.11841/j.issn.1007-4333.2024.04.18
投稿时间:2023-07-14
基金项目:内蒙古自治区科技重大专项(2021ZD0023-3);内蒙古自治区科技计划项目(2022YFSJ0029);国家乳业技术创新中心项目(2022-科研攻关-2)
Rapid prediction of polysaccharide content in enzymatically hydrolyzed dandelion based on NIR quantitative analysis model
ZHENG Yue, LI Xia, LIU Na, WANG Yuan, QI Jingwei*, AN Xiaoping
(National Center of Technology Innovation for Dairy-Breeding and Production Research Center / Inner Mongolia Herbivorous Livestock Feed Engineering Technology Research Center / College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China)
Abstract:
In order to quickly and real-time evaluate the quality of Chinese herbs in the production process of enzymatic hydrolysis, the study conducted enzymatic hydrolysis on 5 type of dandelion and a total of 125 samples of five kinds of dandelions were collected. Partial least squares regression (PLSR) method was used to establish the NIR analytical model for enzymatic hydrolysis of dandelion polysaccharides. The results showed as follows: 1) When the spectrum was preprocessed by Standard Normal Variate (SNV) + Detrend + Second Derivative (SD), the spectrum range was 908-1 670 nm, and the principal factor number was 2, the modeling effect of enzymatic dandelion polysaccharide prediction model was the best. 2) The correlation coefficient of the calibration set (R2c) was 0.917 5, the root mean square error of the calibration set (RMSEC) was 7.714 4, the standard error of the calibration (SEC) was 7.753 3, and the highest relative percent deviation of the calibration set (RPDc) was 3.480 9. The correlation coefficient of the validation set (R2p)was 0.878 4, the root mean square error of the cross validation set (RMSECV)was 9.411 5, the standard error of prediction (SEP) was 9.458 2, and the relative percent deviation of the validation (RPDp) was 2.867 2. 3) The external test results showed that there was no significant difference between the predicted value and the measured value of the sample (P>0.05). In summary, the NIR analytical model established in this study can be used for rapid and non-destructive real-time monitoring of the polysaccharide content of the enzymatic hydrolysis of dandelion, and can provide technical support for the quality control of the enzymatic hydrolysis process of dandelion.
Key words:  near infrared spectroscopy  quantitative analysis model  polysaccharides  enzymatic hydrolysis of dandelion