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How is Mass Spectrometry Used in Microplastic Pollution Research?

Mass spectrometry is a valuable tool for detecting and analyzing microplastic pollution in the environment, which poses a serious threat to the ecosystem and human health. This article looks at the various mass spectrometry techniques used in microplastic pollution research, recent advancements, challenges, and future directions. ....

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Global Surface Inspection Market to Reach $5.9 Billion by 2028: Integration of Smart Cameras, Advanced Software, and Powerful Image Processors into Surface Inspection Systems Drives Growth

/PRNewswire/ The "Global Surface Inspection Market by Component (Cameras, Frame Grabbers, Processors, Software), Surface Type (2D, 3D), System. ....

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High-resolution mass spectrometric rapid identification of Candida auris

A recent study published in the Journal of Fungi used a novel OrbitrapTM high-resolution mass spectrometric technology coupled with liquid chromatography to identify geographically different clades of Candida auris (C. auris) isolates. This proof-of-concept methodology could accurately detect C. auris in the microbiology laboratory. ....

South Africa , United States , Jens Goepfert , Centers For Disease , Accurate Identification , High Resolution Mass , Image Credit , East Asia , South America , Middle East , Disease Control , South Asia , Industry Focus , South Asian , East Asian , Candida Auris , Fungal Infection , Intensive Care , Liquid Chromatography , Mass Spectrometry ,

Vizient, Inc. Awards National Contract to PDC for Medical Labels

Vizient, Inc. Awards National Contract to PDC for Medical Labels
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United States , Sean Souffie , Jessica Johnson , Vizient Inc , Wall Street , Year Contract Offers Leading Medical Labels , Vizient Members , Accurate Identification , Thermal Printer , Vice President , North America ,

Global $3.6 Billion Livestock Identification Markets,

Dublin, May 05, 2022 (GLOBE NEWSWIRE) The "Livestock Identification Market by Offering (Hardware, Software, Services), Device Lifecycle (Long, Short),. ....

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