文献类型： 外文期刊
作者： Liu, Shuai 1 ; Liu, Honggao 3 ; Li, Jieqing 1 ; Wang, Yuanzhong 2 ;
作者机构： 1.Yunnan Agr Univ, Coll Resources & Environm, Kunming 650201, Yunnan, Peoples R China
2.Yunnan Acad Agr Sci, Inst Med Plants, Kunming 650223, Yunnan, Peoples R China
3.Zhaotong Univ, Sch Agron & Life Sci, Zhaotong 657000, Peoples R China
关键词： mushroom; trace elements; heavy metals; enrichment pattern; influencing factors
期刊名称：JOURNAL OF FUNGI （ 影响因子：5.724； 五年影响因子：6.413 ）
ISSN：
年卷期： 2022 年 8 卷 9 期
页码：
收录情况： SCI
摘要： Wild edible mushrooms are distributed all over the world and are delicious seasonal foods, rich in polysaccharides, amino acids, vitamins, and other components. At the same time, they contain many essential trace elements and are highly enriched in heavy metals (compared to green plants and cultivated edible mushrooms). Consumers may be exposed to health risks due to excessive heavy metals in the process of consumption. This is also one of the important factors affecting the import and export of edible mushrooms, which is of great concern to consumers and entry and exit inspection and quarantine departments. In this paper, the contents of four essential trace elements of iron, manganese, zinc, and copper and four harmful heavy metals of cadmium, lead, mercury, and arsenic in nearly 400 species of wild edible mushrooms from 10 countries are reviewed. It was found that the factors affecting the elemental content of edible mushrooms are mainly divided into internal and external factors. Internal is mainly the difference in species element-enrichment ability, and external is mainly environmental pollution and geochemical factors. The aim is to provide a reference for the risk assessment of edible mushrooms and their elemental distribution characteristics.
- 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
-
Rapid prediction of nucleosides content and origin traceability of Boletus bainiugan using Fourier transform near-infrared spectroscopy combined with chemometrics
作者：Deng, Guangmei;Li, Jieqing;Deng, Guangmei;Wang, Yuanzhong;Liu, Honggao
关键词：Fourier transform near-infrared spectroscopy; Nucleoside compounds; Climatic factors; Two-dimensional correlation spectroscopy; Residual neural networks
-
Predicting the suitable habitat distribution of Polygonatum kingianum under current and future climate scenarios in southwestern Yunnan, China
作者：Hu, Xiaoyan;Yang, Shaobing;Li, Zhimin;Wang, Yuanzhong;Hu, Xiaoyan
关键词：Polygonatum kingianum; Maximum entropy model; Species distribution; Suitable habitat; Geographical traceability
-
Geographical origin identification of Dendrobium Officinale based on FT-NIR and ATR-FTIR spectroscopy
作者：Han, Jiaqi;Hu, Qiang;Wang, Yuanzhong
关键词：Spectral analysis; Data fusion; Two-dimensional correlation spectroscopy; The residual convolutional neural network; Dendrobium officinale Kimura & Migo
-
Classification of bolete species and drying temperature using LC-MS and infrared spectroscopy and simultaneous prediction of their major compounds using chemometrics
作者：Zheng, Chuanmao;Li, Jieqing;Zheng, Chuanmao;Wang, Yuanzhong;Liu, Honggao
关键词：Boletes; Organic acids; Postharvest drying; Species identification; Quality assessment
-
Infrared spectroscopy combined with machine learning: A fast method for origin tracing and dry matter content prediction of Dendrobium officinale Kimura et Migo
作者：Feng, Yangna;Feng, Yangna;Yang, Shaobing;Wang, Yuanzhong
关键词：FT-NIR; ATR-FTIR; Dendrobium officinal; Prediction; Origin tracing
-
Prediction of pyrazines and identification of flavor intensity in boletus bainiugan at different drying temperatures based on feature variables
作者：Deng, Guangmei;Li, Jieqing;Deng, Guangmei;Wang, Yuanzhong;Liu, Honggao
关键词：Boletus bainiugan; Fourier transform near infrared spectroscopy; Attenuated total reflectance Fourier transform; infrared spectroscopy; Data fusion; Volatile compounds
