A fast method for predicting adenosine content in porcini mushrooms using Fourier transform near-infrared spectroscopy combined with regression model
文献类型： 外文期刊
作者： Deng, Guangmei 1 ; Li, Jieqing 1 ; Liu, Honggao 3 ; Wang, Yuanzhong 2 ;
作者机构： 1.Yunnan Agr Univ, Coll Agron & Biotechnol, Kunming 650201, Peoples R China
2.Yunnan Acad Agr Sci, Med Plants Res Inst, Kunming 650200, Peoples R China
3.Zhaotong Univ, Yunnan Key Lab Gastrodia & Fungi Symbiot Biol, Zhaotong 657000, Yunnan, Peoples R China
关键词： Fourier transform near-infrared spectroscopy; Porcini mushrooms; Adenosine; Partial least squares regression
期刊名称：LWT-FOOD SCIENCE AND TECHNOLOGY （ 影响因子：6.0； 五年影响因子：6.0 ）
ISSN： 0023-6438
年卷期： 2024 年 201 卷
页码：
收录情况： SCI
摘要： Adenosine is an endogenous neuroprotective agent. It is of great importance to research the porcini mushrooms' adenosine for developing products. However, problems, such as the old for new and traditional methods for detecting adenosine content are complicated and time-consuming, seriously restrict industrial development. The present study aimed to achieve a rapid quantification of adenosine content in porcini mushrooms on the market using Fourier transform near-infrared (FT-NIR) spectroscopy combined with partial least squares regression (PLSR) model. Herein, the nucleoside content and spectral characteristics of the large-scale dataset (n = 242) were analyzed, which was used as the calibration set for constructing the PLSR model. The PLSR model had an R & ccaron; of 0.907 and a residual predictive deviation (RPD) of 2.726. For random samples with different origins, the R2P was 0.768 and the RPD was 1.326, for the storage period, the R2P was 0.952 and the RPD was 3.069, and for various collection years, the R2P was 0.927 and the RPD was 2.548. It was demonstrated that the established method offers a rapid and reliable prediction strategy for adenosine content of random porcini mushrooms samples, which has the potential to be applied in the market.
- 相关文献
作者其他论文 更多>>
-
Rapid determination of geographical authenticity of Gastrodia elata f. glauca using Fourier transform infrared spectroscopy and deep learning
作者：Deng, Guangmei;Li, Jieqing;Deng, Guangmei;Wang, Yuanzhong;Liu, Honggao
关键词：Gastrodia elata f. glauca; Fourier transform infrared spectroscopy; Deep learning; Data driven version of soft independent; modeling of class analogy
-
Rapid prediction of nucleosides content and origin traceability of Boletus bainiugan using Fourier transform near-infrared spectroscopy combined with chemometrics
作者：Deng, Guangmei;Li, Jieqing;Deng, Guangmei;Wang, Yuanzhong;Liu, Honggao
关键词：Fourier transform near-infrared spectroscopy; Nucleoside compounds; Climatic factors; Two-dimensional correlation spectroscopy; Residual neural networks
-
Predicting the suitable habitat distribution of Polygonatum kingianum under current and future climate scenarios in southwestern Yunnan, China
作者：Hu, Xiaoyan;Yang, Shaobing;Li, Zhimin;Wang, Yuanzhong;Hu, Xiaoyan
关键词：Polygonatum kingianum; Maximum entropy model; Species distribution; Suitable habitat; Geographical traceability
-
Geographical origin identification of Dendrobium Officinale based on FT-NIR and ATR-FTIR spectroscopy
作者：Han, Jiaqi;Hu, Qiang;Wang, Yuanzhong
关键词：Spectral analysis; Data fusion; Two-dimensional correlation spectroscopy; The residual convolutional neural network; Dendrobium officinale Kimura & Migo
-
Classification of bolete species and drying temperature using LC-MS and infrared spectroscopy and simultaneous prediction of their major compounds using chemometrics
作者：Zheng, Chuanmao;Li, Jieqing;Zheng, Chuanmao;Wang, Yuanzhong;Liu, Honggao
关键词：Boletes; Organic acids; Postharvest drying; Species identification; Quality assessment
-
Infrared spectroscopy combined with machine learning: A fast method for origin tracing and dry matter content prediction of Dendrobium officinale Kimura et Migo
作者：Feng, Yangna;Feng, Yangna;Yang, Shaobing;Wang, Yuanzhong
关键词：FT-NIR; ATR-FTIR; Dendrobium officinal; Prediction; Origin tracing
-
Prediction of pyrazines and identification of flavor intensity in boletus bainiugan at different drying temperatures based on feature variables
作者：Deng, Guangmei;Li, Jieqing;Deng, Guangmei;Wang, Yuanzhong;Liu, Honggao
关键词：Boletus bainiugan; Fourier transform near infrared spectroscopy; Attenuated total reflectance Fourier transform; infrared spectroscopy; Data fusion; Volatile compounds
