Recent trends of multi-source and non-destructive information for quality authentication of herbs and spices
文献类型： 外文期刊
作者： Xu, Yulin 1 ; Zhang, Jinyu 1 ; Wang, Yuanzhong 1 ;
作者机构： 1.Yunnan Acad Agr Sci, Med Plants Res Inst, Kunming 650200, Peoples R China
2.Yunnan Univ, Sch Agr, Kunming 650504, Peoples R China
关键词： Herbs and spices; Non-destructive techniques; Multi -source information; Data processing; Data fusion; Quality authentication
期刊名称：FOOD CHEMISTRY （ 影响因子：9.231； 五年影响因子：8.795 ）
ISSN： 0308-8146
年卷期： 2023 年 398 卷
页码：
收录情况： SCI
摘要： The growing concerns about the quality and safety of herbs and spices among consumers have increased the demand for technical testing. Recently, non-destructive analysis techniques have been widely studied and applied. Generally, a single technology has certain limitations, which are not enough to fully describe the characteristics of complex products (dynamic or complex structure). Combining non-destructive analysis tech-nology (multi-source information) can overcome the above problems. The present review focused on applying multi-source and non-destructive information on herbs and spices quality authentication, including vibration spectroscopy and electronic sensor technologies. Then summarized and analyzed the authentication process for issues such as adulteration, contents prediction, geographical traceability, process and products analysis, and identification variety. Additionally, we presented trends in quality authentication, discussed the challenges and prospects, and made recommendations. This investigation provided clear evidence for the superiority of the quality authentication methods for herbs and spices based on multi-source and non-destructive information.
- 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
-
Optimization of the selection of suitable harvesting periods for medicinal plants: taking Dendrobium officinale as an example
作者：Li, Peiyuan;Li, Li;Li, Peiyuan;Wang, Yuanzhong;Shen, Tao
关键词：Medicinal plant; Dendrobium officinale; ATR-FTIR; ResNet; Harvesting period; Anticipate
-
Identification of geographical origins of Gastrodia elata Blume based on multisource data fusion
作者：Liu, Hong;Li, Jieqing;Liu, Hong;Wang, Yuanzhong;Liu, Honggao
关键词：2DCOS images; ATR-FTIR; data fusion; FT-NIR; Gastrodia elata Blume; geographical discrimination
-
Differences between two plants fruits: Amomum tsaoko and Amomum maximum, using the SPME-GC-MS and FT-NIR to classification
作者：Li, Fengjiao;Yang, Weize;Yang, Meiquan;Wang, Yuanzhong;Zhang, Jinyu;Li, Fengjiao
关键词：Amomum tsaoko Crevost et Lemarie; Amomum maximum Roxb.; GC-MS; FT-NIR; Classification
-
Small-scale districts identification of Boletus bainiugan from Yunnan province of China based on residual convolutional neural network continuous classification models
作者：Chen, Xiong;Liu, HongGao;Chen, Xiong;Wang, YuanZhong;Li, JieQing
关键词：Small-scale districts; Geographical origin; Boletus bainiugan; FT-NIR; 2D-COS; ResNet
-
The genus Litsea: A comprehensive review of traditional uses, phytochemistry, pharmacological activities and other studies
作者：Li, Guangyao;Li, Guangyao;Li, Zhimin;Wang, Yuanzhong
关键词：L.; traditional uses; chemical components; pharmacological activities
-
Analysis of the Volatile Components in Different Parts of Three Species of the Genus Amomum via Combined HS-SPME-GC-TOF-MS and Multivariate Statistical Analysis
作者：Gu, Jingjing;Yang, Meiquan;Qi, Mingju;Yang, Tianmei;Wang, Li;Yang, Weize;Zhang, Jinyu;Gu, Jingjing
关键词：genus Amomum; volatile compounds; HS-SPME-GC-TOF-MS; differential metabolites
