Qualitative and quantitative analysis of Lanmaoa asiatica in different storage years based on FT-NIR combined with chemometrics
文献类型： 外文期刊
作者： Yan, Ziyun 1 ; Liu, Honggao 3 ; Li, Jieqing 1 ; Wang, Yuanzhong 2 ;
作者机构： 1.Yunnan Agr Univ, Coll Resources & Environm, Kunming 650201, Peoples R China
2.Yunnan Acad Agr Sci, Med Plants Res Inst, Kunming 650223, Peoples R China
3.Zhaotong Univ, Zhaotong 657000, Peoples R China
关键词： Lanmaoa asiatica; FT-NIR; HPLC; Chemometrics; Nucleoside; Content prediction
期刊名称：MICROCHEMICAL JOURNAL （ 影响因子：4.8； 五年影响因子：4.5 ）
ISSN： 0026-265X
年卷期： 2023 年 189 卷
页码：
收录情况： SCI
摘要： With the extension of storage time, the quality of mushroom will decline. In order to ensure food safety, it is very necessary to establish a reliable and rapid prediction model of mushroom storage life. In this study, the changes of nucleosides content in Lanmaoa asiatica were detected by high performance liquid chromatography (HPLC). Qualitative and quantitative analysis of L. asiatica in different storage periods based on Fourier transform near infrared spectroscopy (FT-NIR) and chemometrics. The results showed that with the prolongation of storage time, the chemical substances in mushrooms were decomposed, resulting in an increase in the contents of uridine, adenosine and guanosine. The model was optimized by spectral preprocessing and feature variable extraction, which improves the predictability of the model. Partial least squares discriminant analysis (PLS-DA) could effectively identify samples with different storage years, and its model accuracy was 100%. In the established partial least squares regression (PLSR) prediction model for uridine, guanosine and adenosine, the regression coefficients Rp2 were 0.91, 0.90 and 0.62 respectively, and the RPD values were 3.86, 4.21 and 1.98 respectively. In general, the method has good stability and applicability, and provides an effective and rapid analysis method for food safety and quality evaluation.
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