Application of UV-Vis and Infrared Spectroscopy on Wild Edible Bolete Mushrooms Discrimination and Evaluation: A Review-Reference-Cited by-同舟云学术

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Application of UV-Vis and Infrared Spectroscopy on Wild Edible Bolete Mushrooms Discrimination and Evaluation: A Review

Published:2021-10-10 Issue:4 Volume:53 Page:852-868
ISSN:1040-8347
Container-title:Critical Reviews in Analytical Chemistry
language:en
Short-container-title:Critical Reviews in Analytical Chemistry

Author:

Chen Jian¹²,Li Jie-qing³,Li Tao⁴,Liu Hong-gao¹⁵,Wang Yuan-zhong²

Affiliation:

1. College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China

2. Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming, China

3. College of Resources and Environmental, Yunnan Agricultural University, Kunming, China

4. College of Resources and Environment, Yuxi Normal University, Yuxi, China

5. Zhaotong University, Zhaotong, China

Funder

National Natural Science Foundation of China

Joint Special Project of Agricultural Fundamental Research of Yunnan Province

Special Program for the Major Science and Technology Projects of Yunnan Province

Publisher

Informa UK Limited

Subject

Analytical Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10408347.2021.1984870

Reference119 articles.

1. Resource diversity of Chinese macrofungi: edible, medicinal and poisonous species

2. Nutritional value and biological properties of Chilean wild and commercial edible mushrooms

3. Emerging paradigm against global antimicrobial resistance via bioprospecting of mushroom into novel nanotherapeutics development

4. Nationalization and Globalization Trends in the Wild Mushroom Commerce of Italy with Emphasis on Porcini (Boletus edulis and Allied Species)

5. Chemical composition and nutritional value of European species of wild growing mushrooms: A review

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1. Small-scale districts identification of Boletus bainiugan from Yunnan province of China based on residual convolutional neural network continuous classification models;Journal of Food Measurement and Characterization;2024-03-25

2. Safety risk assessment of edible fungi;BIO Web of Conferences;2024

3. Extraction and Analysis of Chemical Compositions of Natural Products and Plants;Separations;2023-12-09

4. Machine learning and deep learning based on the small FT-MIR dataset for fine-grained sampling site recognition of boletus tomentipes;Food Research International;2023-05

5. Application of spectral image processing with different dimensions combined with large-screen visualization in the identification of boletes species;Frontiers in Microbiology;2023-01-12

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