Effect of drying temperature on composition of edible mushrooms: Characterization and assessment via HS-GC-MS and IR spectral based volatile profiling and chemometrics
文献类型: 外文期刊
作者: Zheng, Chuanmao 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: Boletus bainiugan; HS-SPME-GC-MS; VOCs; 2DCOS; Chemometrics; Quality estimation
期刊名称:CURRENT RESEARCH IN FOOD SCIENCE ( 影响因子:6.2; 五年影响因子:6.2 )
ISSN:
年卷期: 2024 年 9 卷
页码:
收录情况: SCI
摘要: Edible wild mushrooms are one of the popular ingredients due to their high quality and unique flavor and nutrients. To gain insight into the effect of drying temperature on its composition, 86 Boletus bainiugan were divided into 5 groups and dried at different temperatures. Headspace solid-phase microextraction-gas chromatographymass spectrometry (HS-SPME-GC-MS) was used for the identification of volatile organic compounds (VOCs) of Boletus bainiugan. The 21 differential VOCs that distinguish different drying temperatures of Boletus bainiugan were identified. 65 degrees C retained more VOCs. There were differences in their types and content at different temperatures, proteins, polysaccharides, crude fibers, and fats. Fourier transform near-infrared (FT-NIR) spectroscopy, Fourier transform infrared (FTIR) spectroscopy, and two-dimensional correlation spectroscopy (2DCOS) images were successfully characterized for differences in the chemical composition of Boletus bainiugan. Partial least squares discriminant analysis (PLS-DA) verified the variability in the chemical composition of Boletus bainiugan with the coefficient of determination (R2) = 0.95 and predictive performance (Q2) = 0.75 with 92.31% accuracy. Next, infrared spectroscopy provides a fast and efficient assessment of the content of Boletus bainiugan nutrients (proteins, polysaccharides, crude fibers, and fats).
- 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



