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Authenticating Geographical Origin of Tea Using ICP-MS and Agilent Mass Profiler Professional Software

Aplikace | 2022 | Agilent TechnologiesInstrumentace
Software, ICP/MS
Zaměření
Potraviny a zemědělství
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Agilent Technologies
Klíčová slova
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Vinay Jain1, Partha Sen1, Prasenjit Kar1, Shuofei Dong2, and Ed McCurdy3* Authenticating Geographical Origin of Tea from the NorthEast Region of India Using ICP-MS and Agilent Mass Profiler Professional Chemometrics Software 1 Agilent Technologies (international) Pvt., Ltd., India 2 Agilent…
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Agilent ICP-MS Journal (February 2023, Issue 91)
2023|Agilent Technologies|Ostatní
Agilent ICP-MS Journal February 2023, Issue 91 Page 1 Varied Sample Types and Multielement Screening using Agilent ICP-MS in Helium Mode Pages 2–3 ICP-MS for Trace Level Analysis of Contaminants in Materials Used in Lithium-Ion Battery Manufacturing Pages 4–5 Characterizing…
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Application Note Food Authenticating Rice by Elemental Profiling Using ICP-MS and Statistical Modeling Identifying the geographical origin of rice using Agilent 7900 ICP-MS and Agilent Mass Profiler Professional software Introduction Authors Fei Xu , Fanzhou Kong , Hong Peng1, Guangtao…
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Methodologies for Food Fraud
2019|Agilent Technologies|Ostatní
Food Fraud Guide Methodologies for Food Fraud Tips for robust experimental results Executive summary Knowing that food fraud scandals often drive public awareness and regulatory changes, the goal of this paper is to present analytical techniques and experimental methodologies, and…
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prediction, predictionrice, ricenontargeted, nontargetedclass, classstatistical, statisticalfood, foodgeographic, geographiccan, canfeature, featureidentify, identifyauthenticity, authenticitytools, toolsdata, datasors, sorsfinding
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