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Akademický článek

Changes of Volatile Flavor Substances of Beeves in Spoilage Process Based on Gas Chromatography–Ion Mobility Spectrometry and Electronic Nose

Autor: Zhiping ZHAO, Shengyuan ZHANG, Hongfan CHEN, Ziqing LING, Xiaohan JIA, Dayu LIU

Publikováno v: Shipin gongye ke-ji, Vol 45, Iss 11, Pp 235-244 (2024)

In order to investigate the changes of volatile flavor substances in the process of beeves spoilage, beeves with different storage time were employed. The volatile flavor substances of beeves in spoilage process were analyzed by using gas chromatogra

Externí odkaz: https://doaj.org/article/cb56bcec5fab4ee4a8f2b636c3e9559f

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Akademický článek

Dynamic Changes and Potential Correlations between Microbial Diversity and Volatile Flavor Compounds in Chinese Medium-Temperature Daqu during Manufacturing

Autor: Xin Nie, Xiaohan Jia, Kaixian Zhu, Ziqing Ling, Hongfan Chen, Jing Xie, Zonghua Ao, Chuan Song, Caihong Shen, Chenglin Zhu, Wei Yan, Jiabin Wang, Yijing Wang, Zhiping Zhao

Publikováno v: Molecules, Vol 29, Iss 20, p 4851 (2024)

To investigate the dynamic changes and potential correlations between microbial diversity and volatile organic compounds (VOCs) during Chinese medium-temperature Daqu (MTD) manufacturing at different key stages, in this study, high-throughput sequenc

Externí odkaz: https://doaj.org/article/c53220ec514d45c7996f721b53240a31

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Akademický článek

Microbial Diversity and Community Structure of Chinese Fresh Beef during Cold Storage and Their Correlations with Off-Flavors

Autor: Zhiping Zhao, Ziqing Ling, Xin Nie, Dayu Liu, Hongfan Chen, Shengyuan Zhang

Publikováno v: Foods, Vol 13, Iss 10, p 1482 (2024)

To investigate the diversity and dynamics of microorganisms in Chinese fresh beef (CFB) without acid discharge treatment during cold storage, high-throughput sequencing was employed to analyze the CFB refrigerated for 0, 3, 7, and 10 days. The result

Externí odkaz: https://doaj.org/article/ce5475822be74aa3a10aac538ffe090c

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Multiple License Plate Location Algorithm in Complex Scene

Autor: ZiQing Ling, Meini Lv, DongLing Li, YuMei Zhou

Publikováno v: 2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS).

Aiming at the problem that the existing license plate location methods can't work well in locating the license plate in certain natural scenes such as low luminance, low resolution and inclination scene of vehicle, a license plate location method bas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::11735599b9b3ee8f8e157604183b749d
https://doi.org/10.1109/iucc/dsci/smartcns.2019.00102

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