Geographical traceability of Boletaceae mushrooms using data fusion of FT-IR, UV, and ICP-AES combined with SVM-Reference-Cited by-同舟云学术

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Geographical traceability of Boletaceae mushrooms using data fusion of FT-IR, UV, and ICP-AES combined with SVM

Published:2019-01-01 Issue:1 Volume:22 Page:414-426
ISSN:1094-2912
Container-title:International Journal of Food Properties
language:en
Short-container-title:International Journal of Food Properties

Author:

Yao Sen¹²,Li Jieqing¹,Li Tao³,Duan Zhili¹,Wang Yuanzhong²

Affiliation:

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

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

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

Funder

National Natural Science Foundation of China

Science Foundation of the Yunnan Province Department of Education

Publisher

Informa UK Limited

Subject

Food Science

Link

https://tandfonline.com/doi/pdf/10.1080/10942912.2019.1588299

Reference45 articles.

1. Determination of iron, copper, manganese, zinc, lead, and cadmium in mushroom samples from Tokat, Turkey

2. Profile and bioconcentration of minerals by King Bolete (Boletus edulis) from the Płocka Dale in Poland

3. Evaluation of heavy metal concentrations of edible wild-grown mushrooms from China

4. Nutrient Compositions of Culinary-Medicinal Mushroom Fruiting Bodies and Mycelia

5. A mini-review of chemical composition and nutritional value of edible wild-grown mushroom from China

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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

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3. Pattern recognition techniques in food quality and authenticity: A guide on how to process multivariate data in food analysis;TrAC Trends in Analytical Chemistry;2023-07

4. Review of Recent Modern Analytical Technology Combined with Chemometrics Approach Researches on Mushroom Discrimination and Evaluation;Critical Reviews in Analytical Chemistry;2022-09-25

5. A fast multi-source information fusion strategy based on deep learning for species identification of boletes;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2022-06

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