Verified the rapid evaluation of the edible safety of wild porcini mushrooms, using deep learning and PLS-DA.

Journal: Journal of the science of food and agriculture
Published Date: Mar 15, 2022

Abstract

BACKGROUND: How to quickly identify poisonous mushrooms is a worldwide problem, because poisonous mushrooms and edible mushrooms have very similar appearances. Even some edible mushrooms must be processed further before they can be eaten. In addition, mushrooms from different geographical origins contain different levels of heavy metals. Eating frequent mushrooms with excessive heavy metal content can also cause food poisoning. This information is very important and needs to be informed to consumers in advance. Through the demand for the safety of porcini mushrooms in the Yunnan area we propose a hierarchical identification system based on Fourier-transform near-infrared (FT-NIR) spectroscopy to evaluate the edible safety of porcini species.

Authors

  • Li Wang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Honggao Liu
    College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, PR China.
  • Tao Li
    Department of Emergency Medicine, Jining No.1 People's Hospital, Jining, China.
  • Jieqing Li
    College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, PR China. Electronic address: lijieqing2008@126.com.
  • Yuanzhong Wang
    Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, China; Yunnan Technical Center for Quality of Chinese Materia Medica, Kunming 650200, China.

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