Rapid identification of the storage duration and species of sliced boletes using near-infrared spectroscopy
文献类型: 外文期刊
作者: Chen, Jian 1 ; Li, Jie qing 3 ; Li, Tao 4 ; Liu, Hong gao 2 ; Wang, Yuan zhong 1 ;
作者机构: 1.Yunnan Acad Agr Sci, Inst Med Plants, Kunming 650223, Yunnan, Peoples R China
2.Yunnan Agr Univ, Coll Agron & Biotechnol, Kunming 650201, Yunnan, Peoples R China
3.Yunnan Agr Univ, Coll Resources & Environm, Kunming, Yunnan, Peoples R China
4.Yuxi Normal Univ, Coll Resources & Environm, Yuxi, Peoples R China
5.Zhaotong Univ, Zhaotong, Peoples R China
关键词: 2DCOS images; chemometrics; NIR spectroscopy; rapid identification; ResNet; sliced boletes
期刊名称:JOURNAL OF FOOD SCIENCE ( 影响因子:3.693; 五年影响因子:3.856 )
ISSN: 0022-1147
年卷期: 2022 年 87 卷 7 期
页码:
收录情况: SCI
摘要: Boletes are recognized as a worldwide delicacy. Adulteration of the expired and low-value sliced boletes is a pressing problem in the supply chain of commercial sliced boletes. This study aimed at developing a rapid method to identify the storage duration and species of sliced boletes, using near-infrared (NIR) spectroscopy. In the study, 1376 fruiting bodies of wild-grown boletes were collected from 2017 to 2020 in Yunnan, containing four common species of edible boletes. A NIR spectroscopy-based strategy was proposed, that is, identify the storage duration of sliced boletes to ensure that they are within the shelf life firstly; then identify the species of sliced boletes within the shelf life to evaluate their economic value. Three supervised methods, partial least squares discriminant analysis (PLS-DA), extreme learning machine (ELM), and two-dimensional correlation spectroscopy (2DCOS) images with residual convolutional neural network (ResNet) model were applied to identify. The results showed that PLS-DA model cannot accurately identify the storage duration and species of sliced boletes, and the ELM model can identify the storage duration of boletes samples, but cannot accurately discriminate different species of samples. And ResNet model established by 2DCOS images showed superiority in classification performance, 100% accuracy was obtained for both the storage duration and species classification. Moreover, compared to traditional methods, the 2DCOS images with ResNet model was free of complicated data preprocessing. The results obtained in the present study indicated a promising way of combining 2DCOS images with ResNet methods, in tandem with NIR for the rapid identification of the storage duration and species of sliced boletes. Practical Application In the boletes supply chain, the method can be considered as a reliable method for testing the authenticity of boletes slices. The current study can also provide a reference for quality control of other edible mushroom.
- 相关文献
作者其他论文 更多>>
-
Contributions of ectomycorrhizal fungi in a reclaimed poplar forest (Populus yunnanensis) in an abandoned metal mine tailings pond, southwest China
作者:Xiao, Yinrun;Liu, Conglong;Hu, Na;Wang, Bowen;Zhao, Zhiwei;Li, Tao;Xiao, Yinrun;Liu, Conglong;Hu, Na;Wang, Bowen;Li, Tao;Zheng, Kuanyu
关键词:Bovista limosa; Physiological responses; Heavy metal tolerance; Phytoremediation; Compartmentalization
-
Edibility and species discrimination of wild bolete mushrooms using FT-NIR spectroscopy combined with DD-SIMCA and RF models
作者:Chen, Jian;Liu, Honggao;Chen, Jian;Wang, Yuanzhong;Liu, Honggao;Li, Tao
关键词:Wild mushroom; Edibility; Authentication; Vibrational spectroscopy; Chemometrics
-
A new effective method for identifying boletes species based on FT-MIR and three dimensional correlation spectroscopy projected image processing
作者:Dong, Jian-E;Li, Jieqing;Liu, Honggao;Wang, Yuan Zhong;Dong, Jian-E;Wang, Yuan Zhong
关键词:Boletes; Species; Image processing; Deep learning; 3DCOS projection
-
Transcriptome analysis reveals distinct innate immunity and ribosomal response at early stage of AcMNPV infection in haemocyte of silkworm resistant and susceptible strains
作者:Li, Tao;Qin, Sheng;Sun, Xia;Zhang, Kai-xiang;Ding, Xin-yi;Wang, Xue-yang;Li, Mu-wang;Qin, Sheng;Sun, Xia;Wang, Xue-yang;Li, Mu-wang;Li, Tao
关键词:Autographa californica multiple; nucleopolyhedrovirus (AcMNPV); Silkworm; Transcriptome analysis; Innate immunity; Ribosomal protein
-
First Report of Stenotrophomonas maltophilia Causing Root Soft Rot of Sanqi (Panax notoginseng) in China
作者:Zheng, Kuanyu;Li, Tao;Zhao, Zhiwei;Zheng, Kuanyu;Su, Xiaoxia;Xue, Zheng;Zhang, Lizhen;Chen, Yongdui;Wu, Kuo;Zhang, Zhongkai
关键词:Panax notoginseng; Stenotrophomonas maltophilia; pathogens; soft rot
-
Two dimensional correlation spectroscopy combined with ResNet: Efficient method to identify bolete species compared to traditional machine learning
作者:Yan, Ziyun;Li, Jieqing;Liu, Honggao;Liu, Honggao;Li, Tao;Yan, Ziyun;Wang, Yuanzhong
关键词:Bolete; FT-NIR; Chemometrics; 2DCOS; ResNet
-
Harnessing an arbuscular mycorrhizal fungus to improve the adaptability of a facultative metallophytic poplar (Populus yunnanensis) to cadmium stress: Physiological and molecular responses
作者:Di Liu;Zheng, Kuanyu;Wang, Yue;Zhang, Yan;Lao, Ruimin;Qin, Zhiyang;Li, Tao;Zhao, Zhiwei;Di Liu;Wang, Yue;Zhang, Yan;Lao, Ruimin;Qin, Zhiyang;Li, Tao;Zhao, Zhiwei;Zheng, Kuanyu
关键词:Funneliformis mosseae; Heavy metal; Mine rehabilitation; Phytomanagement; Phytotoxicity