A Novel Fluorescent/Colorimetric Dual‐Signal Intelligent Detecting Platform (F/C‐BMIPs) Based on "Borate‐Molecular Imprinting" Collaborative Recognition for Visual Quantitative Detection of Rutin in Food Samples.

Autor: Zhang, Lei, Niu, Xueying, Yan, Zhenmin, Liu, Chang, Zhang, Yu, Wang, Peiting, Wang, Milan

Publikováno v: Luminescence: Journal of Biological & Chemical Luminescence; Oct2024, Vol. 39 Issue 10, p1-10, 10p

Experimental research on thermal characteristics of PCM thermal energy storage units

Autor: Zhang, Tianshi, Liu, Yubin, Gao, Qing, Wang, Guohua, Yan, Zhenmin, Shen, Ming

Publikováno v: In Journal of the Energy Institute February 2020 93(1):76-86

Headspace solid-phase microextraction and gas chromatography–mass spectrometry of volatile components of Chrysanthemum morifolium Ramat

Autor: Wu, Yanbing, Yan, Zhenmin, Zhao, Junjun, Zhu, Yinghui

Publikováno v: Tropical Journal of Pharmaceutical Research; Vol 15, No 10 (2016); 2241-2244

Purpose: To extract and analyze the volatile components of Chrysanthemum morifolium Ramat. 'huaiju' by headspace solid-phase microextraction (HS-SPME) and gas chromatography–mass spectrometry (GC–MS).Methods: Volatile components were extracted by

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=78975075580c::91abd9f0beb27b91ef3d2d470e7ecdac
https://www.ajol.info/index.php/tjpr/article/view/147810

Headspace solid-phase microextraction and gas chromatography–mass spectrometry of volatile components of Chrysanthemum morifolium Ramat

Autor: Zhao Junjun, Yan Zhenmin, Zhu Yinghui, Wu Yanbing

Publikováno v: Tropical Journal of Pharmaceutical Research. 15:2241

Purpose: To extract and analyze the volatile components of Chrysanthemum morifolium Ramat. 'huaiju' by headspace solid-phase microextraction (HS-SPME) and gas chromatography–mass spectrometry (GC–MS). Methods: Volatile components were extracted b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3a5644fdf4a5b9ebc44d764a36c4b35e
https://doi.org/10.4314/tjpr.v15i10.24

A Novel Fluorescent/Colorimetric Dual-Signal Intelligent Detecting Platform (F/C-BMIPs) Based on "Borate-Molecular Imprinting" Collaborative Recognition for Visual Quantitative Detection of Rutin in Food Samples.

Autor: Zhang L; School of Food Science, Henan Institute of Science and Technology, Xinxiang, Henan, China.; Research and Experimental Base for Traditional Specialty Meat Processing Techniques of the Ministry of Agriculture and Rural Affairs of the People's Republic of China, Xinxiang, China.; Henan Engineering Research Center of Fruit and Vegetable Processing and Quality Safety Control, Xinxiang, China., Niu X; School of Food Science, Henan Institute of Science and Technology, Xinxiang, Henan, China.; Research and Experimental Base for Traditional Specialty Meat Processing Techniques of the Ministry of Agriculture and Rural Affairs of the People's Republic of China, Xinxiang, China.; Henan Engineering Research Center of Fruit and Vegetable Processing and Quality Safety Control, Xinxiang, China., Yan Z; School of Food Science, Henan Institute of Science and Technology, Xinxiang, Henan, China.; Research and Experimental Base for Traditional Specialty Meat Processing Techniques of the Ministry of Agriculture and Rural Affairs of the People's Republic of China, Xinxiang, China.; Henan Engineering Research Center of Fruit and Vegetable Processing and Quality Safety Control, Xinxiang, China., Liu C; School of Food Science, Henan Institute of Science and Technology, Xinxiang, Henan, China.; Research and Experimental Base for Traditional Specialty Meat Processing Techniques of the Ministry of Agriculture and Rural Affairs of the People's Republic of China, Xinxiang, China.; Henan Engineering Research Center of Fruit and Vegetable Processing and Quality Safety Control, Xinxiang, China., Zhang Y; School of Food Science, Henan Institute of Science and Technology, Xinxiang, Henan, China.; Henan Engineering Research Center of Fruit and Vegetable Processing and Quality Safety Control, Xinxiang, China., Wang P; School of Food Science, Henan Institute of Science and Technology, Xinxiang, Henan, China.; Henan Engineering Research Center of Fruit and Vegetable Processing and Quality Safety Control, Xinxiang, China., Wang M; School of Food Science, Henan Institute of Science and Technology, Xinxiang, Henan, China.; Henan Engineering Research Center of Fruit and Vegetable Processing and Quality Safety Control, Xinxiang, China.

Publikováno v: Luminescence : the journal of biological and chemical luminescence [Luminescence] 2024 Oct; Vol. 39 (10), pp. e4926.