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Food Authenticity Testing with the Agilent 6546 LC/Q-TOF and MassHunter Classifier

 

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Poster Reprint ASMS 2019 WP266 Food Classification and Authenticity Testing Using a New High-Resolution LC/QTOF and Novel Classification Software Daniel Cuthbertson1, Karen E Yannell2, and Frank Kuhlmann2 1 Agilent Technologies, Inc., Seattle, WA 2 Agilent Technologies, Inc., Santa Clara, CA…
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Application Note A Metabolomics Approach to Multivariate Analysis of Black Pepper Using LC/Q-TOF Authors Trung Quoc Pham, Minh Trung Tran, Xuan Dai Phan, Dat Ho Tuan, and Anh Tuan Le IndoChina Center of Excellence Ho Chi Minh City, Vietnam Boonraksa…
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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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Technical Overview Fast and Reliable Classification Analysis with Agilent MassHunter Classifier Introduction Food adulteration is a global challenge for the food industry. An adulterated food item can contain low-quality ingredients or lack certain vital constituents. These aspects can have serious…
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classifier, classifierclassification, classificationunknown, unknownmasshunter, masshuntersamples, samplespca, pcasample, samplemodel, modelcompound, compoundprofinder, profindertable, tableclass, classtraining, trainingadaptation, adaptationworkflow
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