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ARS Home » Northeast Area » Wyndmoor, Pennsylvania » Eastern Regional Research Center » Residue Chemistry and Predictive Microbiology Research » Research » Research Project #430153

Research Project: Development, Evaluation, and Validation of Technologies for the Detection and Characterization of Chemical Contaminants in Foods

Location: Residue Chemistry and Predictive Microbiology Research

2016 Annual Report


1a. Objectives (from AD-416):
1. Develop, validate, and transfer multiclass, multiresidue methods for pesticides, environmental, and emerging contaminants in FSIS-regulated foods, and conduct a survey of food samples for the contaminants. 1A. Simultaneous analysis method for diverse pesticides, legacy and emerging environmental contaminants in meats. 1B. Multiresidue method for food packaging (FP) contaminants in packaged foods. 1C. Conduct a survey of food samples for emerging environmental and FP contaminants. 2. Develop qualitative screening and identification criteria with automated data processing that meets regulatory needs to minimize/avoid false positives and negatives. 3. Develop sample processing methods for regulatory analysis that improve the ability to detect combinations of veterinary drug residues in the same sample preparation. 3A. Simultaneous analysis method for diverse veterinary drugs residues, including aminoglycoside antibiotics, in meats. 3B. Evaluate cryogenic sample processing to achieve meaningful representative sample size of 100 mg in multiresidue analysis of pesticides and veterinary drug residues in foods. 4. Develop automated high-throughput sample processing, preparation, and analysis methods using flow-injection and/or open probe techniques coupled with mass spectrometry to monitor >500 veterinary drugs, pesticides, and environmental contaminants in foods. 5. Develop novel analytical methods for inorganic and organometallic heavy metals [for example forms of mercury (Hg) and arsenic (As)] in foods. 5A. Develop novel analytical methods for mercury speciation and quantification in foods. 5B. Develop novel analytical methods for arsenic speciation and quantification in foods. 6. Develop and use bioanalytical methods (including mass spectrometry) to monitor for antibiotic resistant organisms and/or their biomarkers in conjunction with antibiotic residues in seafood and meats.


1b. Approach (from AD-416):
The specific approaches for meeting the project’s objectives and milestones are as follows: 1) develop, validate, and transfer multiclass, multiresidue methods for pesticides, environmental, and emerging contaminants in FSIS-regulated foods, and conduct a survey of food samples for the contaminants; 2) develop qualitative screening and identification criteria with automated data processing that meets regulatory needs to minimize/avoid false positives and negatives; 3) develop sample processing methods for regulatory analysis that improve the ability to detect combinations of veterinary drug residues in the same sample preparation; 4) develop automated high-throughput sample processing, preparation, and analysis methods using flow-injection and/or open probe techniques coupled with mass spectrometry to monitor >500 veterinary drugs, pesticides, and environmental contaminants in foods; 5) develop novel analytical methods for inorganic and organometallic heavy metals [for example forms of mercury (Hg) and arsenic (As)] in foods; and 6) develop and use bioanalytical methods (including mass spectrometry) to monitor for antibiotic resistant organisms and/or their biomarkers in conjunction with antibiotic residues in seafood and meats.


3. Progress Report:
This new project plan was recently certified through the ARS Office of Scientific Quality Review (OSQR). For further details on current work see the 2016 annual report for project 8072-42000-056-00D.


4. Accomplishments


5. Significant Activities that Support Special Target Populations:
None.


Review Publications
Lehotay, S.J., Han, L., Sapozhnikova, Y.V. 2016. Automated mini-column solid-phase extraction cleanup for high-throughput analysis of chemical contaminants in foods by low-pressure gas chromatography – tandem mass spectrometry. Chromatographia. 79:1113-1130. doi: 10.1007/s10337-016-3116-y.