A rapid and effective method for species identification of edible boletes: FT-NIR spectroscopy combined with ResNet
文献类型： 外文期刊
作者： Chen, Jian 1 ; Liu, Honggao 1 ; Li, Jieqing 4 ; Wang, Yuanzhong 2 ;
作者机构： 1.Yunnan Agr Univ, Coll Agron & Biotechnol, Kunming 650201, Peoples R China
2.Yunnan Acad Agr Sci, Inst Med Plants, Kunming 650223, Peoples R China
3.Zhaotong Univ, Zhaotong 657000, Peoples R China
4.Yunnan Agr Univ, Coll Resources & Environm, Kunming 650201, Peoples R China
关键词： Species identification; Multi-block fusion; PLS-DA; 2DCOS images; Machine learning
期刊名称：JOURNAL OF FOOD COMPOSITION AND ANALYSIS （ 影响因子：4.52； 五年影响因子：4.942 ）
ISSN： 0889-1575
年卷期： 2022 年 112 卷
页码：
收录情况： SCI
摘要： The accurate and rapid species identification of edible boletes was associated to prevent food safety incidents caused by eating poisonous boletes and commercial fraud activities. This study aimed to develop an approach to accurately identify boletes species using Fourier transform near-infrared (FT-NIR) spectroscopy. A total of 418 samples were collected for the study, which included five common edible boletes species. For each sample, two portions (cap and stipe) were analyzed by FT-NIR spectroscopy. Firstly, partial least squares-discriminant analysis (PLS-DA) models were developed using the single and fused FT-NIR spectral data of cap and stipe. Then, residual convolutional neural network (ResNet) models were developed using the FT-NIR two-dimensional correlation spectroscopy (2DCOS) images of the individual portion (cap and stipe). The results showed that the ResNet model was more suitable for boletes species identification due to the easy operation and accurate classification. For both ResNet models established by the 2DCOS images of cap and stipe, samples were correctly classified as species with 100 % accuracy in the training set and test set. Furthermore, 42 external validation samples were completely identified as species. To summarize, FT-NIR spectroscopy combined with ResNet could be considered as a rapid and effective approach for identifying edible boletes species, which may a promising analytical method for edible fungi species identification.
- 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
-
Effect of drying temperature on composition of edible mushrooms: Characterization and assessment via HS-GC-MS and IR spectral based volatile profiling and chemometrics
作者：Zheng, Chuanmao;Li, Jieqing;Zheng, Chuanmao;Wang, Yuanzhong;Liu, Honggao
关键词：Boletus bainiugan; HS-SPME-GC-MS; VOCs; 2DCOS; Chemometrics; Quality estimation
-
The method based on ATR-FTIR spectroscopy combined with feature variable selection for the boletus species and origins identification
作者：Ji, Zhiyi;Li, Jieqing;Ji, Zhiyi;Wang, Yuanzhong;Liu, Honggao
关键词：feature variable selection; food safety; mid-infrared spectroscopy; species identification; traceability; wild boletus
-
Identification of geographical origins of Gastrodia elata Blume based on multisource data fusion
作者：Liu, Hong;Li, Jieqing;Liu, Hong;Wang, Yuanzhong;Liu, Honggao
关键词：2DCOS images; ATR-FTIR; data fusion; FT-NIR; Gastrodia elata Blume; geographical discrimination
-
A fast method for predicting adenosine content in porcini mushrooms using Fourier transform near-infrared spectroscopy combined with regression model
作者：Deng, Guangmei;Li, Jieqing;Deng, Guangmei;Wang, Yuanzhong;Liu, Honggao
关键词：Fourier transform near-infrared spectroscopy; Porcini mushrooms; Adenosine; Partial least squares regression
-
Application of ATR-FTIR and FT-NIR spectroscopy coupled with chemometrics for species identification and quality prediction of boletes
作者：Zheng, Chuanmao;Li, Jieqing;Zheng, Chuanmao;Wang, Yuanzhong;Liu, Honggao
关键词：Boletes; Amino acid metabolomics; LC-MS; FT-NIR; ATR-FTIR; 2DCOS
-
The genus Litsea: A comprehensive review of traditional uses, phytochemistry, pharmacological activities and other studies
作者：Li, Guangyao;Li, Guangyao;Li, Zhimin;Wang, Yuanzhong
关键词：L.; traditional uses; chemical components; pharmacological activities
