ICPMS
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike

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

Applications | 2022 | Agilent TechnologiesInstrumentation
Software, ICP/MS
Industries
Food & Agriculture
Manufacturer
Agilent Technologies
Key words
Downloadable PDF for viewing
 

Similar PDF

Toggle
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…
Key words
cachar, cachardooars, dooarsterai, teraitocklai, tocklaitripura, tripuraassam, assamdarjeeling, darjeelingbank, banknorth, northtea, teaupper, upperorigin, origingeographical, geographicalvariation, variationmdl
Agilent ICP-MS Journal (February 2023, Issue 91)
2023|Agilent Technologies|Others
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…
Key words
icp, icpcachar, cachardooars, dooarsterai, teraitocklai, tocklaitripura, tripuraassam, assamdarjeeling, darjeelingbank, bankelemental, elementalnorth, northupper, upperlithium, lithiumbattery, batteryreishi
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…
Key words
prediction, predictionrice, ricempp, mppmodels, modelslocation, locationelemental, elementalelement, elementorigins, originspredicted, predictedgeographical, geographicaldigestion, digestionicp, icpmodel, modelwere, wereusing
Methodologies for Food Fraud
2019|Agilent Technologies|Others
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…
Key words
prediction, predictionrice, ricenontargeted, nontargetedclass, classstatistical, statisticalfood, foodgeographic, geographiccan, canidentify, identifyfeature, featureauthenticity, authenticitydata, datatools, toolssors, sorsfinding
Other projects
Follow us
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike