Review of Recent Modern Analytical Technology Combined with Chemometrics Approach Researches on Mushroom Discrimination and Evaluation
文献类型： 外文期刊
作者： Liu, Hong 1 ; Liu, Honggao 1 ; Li, Jieqing 1 ; Wang, Yuanzhong 2 ;
作者机构： 1.Yunnan Agr Univ, Coll Agron & Biotechnol, Kunming 650201, Yunnan, Peoples R China
2.Yunnan Acad Agr Sci, Med Plants Res Inst, Kunming 650223, Yunnan, Peoples R China
3.Zhaotong Univ, Zhaotong, Peoples R China
关键词： Chemometrics; discrimination; evaluation; modern analytical technology; mushroom
期刊名称：CRITICAL REVIEWS IN ANALYTICAL CHEMISTRY （ 影响因子：5.686； 五年影响因子：6.279 ）
ISSN： 1040-8347
年卷期：
页码：
收录情况： SCI
摘要： Mushroom is a macrofungus with precious fruiting body, as a food, a tonic, and a medicine, human have discovered and used mushrooms for thousands of years. Nowadays, mushroom is also a "super food" recommended by the World Health Organization (WHO) and Food and Agriculture Organization (FAO), and favored by consumers. Discrimination of mushroom including species, geographic origin, storage time, etc., is an important prerequisite to ensure their edible safety and commodity quality. Moreover, the effective evaluation of its chemical composition can help us better understand the nutritional properties of mushrooms. Modern analytical technologies such as chromatography, spectroscopy and mass spectrometry, etc., are widely used in the discrimination and evaluation researches of mushrooms, and chemometrics is an effective means of scientifically processing the multidimensional information hidden in these analytical technologies. This review will outline the latest applications of modern analytical technology combined with chemometrics in qualitative and quantitative analysis and quality control of mushrooms in recent years. Briefly describe the basic principles of these technologies, and the analytical processes of common chemometrics in mushroom researches will be summarized. Finally, the limitations and application prospects of chromatography, spectroscopy and mass spectrometry technology are discussed in mushroom quality control and evaluation.
- 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
-
Integrated Genetic Diversity and Multi-Omics Analysis of Colour Formation in Safflower
作者：Qin, Yonghua;Fan, Kangjun;Yimamu, Aidiya;Zhan, Peng;Lv, Lu;Li, Gang;Liu, Jiao;Liu, Hong;Qin, Rui;Hu, Zunhong;Hu, Xueli;Yan, Xingchu
关键词：
Carthamus tinctorius L.; genetic diversity; core germplasm; transcriptome; metabolome -
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
-
The chromosome-scale genomes of two cultivated safflowers (Carthamus tinctorius) provide insights into the genetic diversity resulting from domestication
作者：Liu, Shuo;Aishan, Saimire;Liu, Qiuyu;Lv, Lu;Ma, Kang;Fan, Kangjun;Zhang, Kehui;Qin, Yonghua;Li, Gang;Liu, Hong;Qin, Rui;Hu, Xueli;Hu, Zunhong;He, Junwei
关键词：
-
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
