http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109557193-B

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classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N30-72
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filingDate 2018-07-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-05-17-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2022-05-17-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-109557193-B
titleOfInvention Mass spectrum qualitative detection method for main sesame allergen
abstract The invention relates to an LC-MS/MS-MRM qualitative detection method for sesame 7 allergen proteins (Ses i 1-Ses i 7). The method comprises the steps of extracting allergen proteins in sesame through a +4% CHAPS aqueous solution containing 7M urea and 2M thiourea, carrying out enzyme digestion for 4h through trypsin, desalting peptide segments, analyzing the peptide segments by using nanoliter liquid chromatography high-resolution tandem mass spectrometry (NanoLC-Q-TOF), carrying out library searching identification on data obtained by the high-resolution mass spectrometry by using protein pilot 5.0 software, selecting peptide segments which are high in response, free of missing cutting and variable modification and less than 25 amino acids in length, carrying out Blast comparison on NCBI, carrying out specificity verification on 15 negative samples, and mining to obtain characteristic peptide segments of 12 sesame allergen proteins in total. And meanwhile, an MRM ion pair is constructed on the characteristic peptide segments of the sesame allergen by adopting SKYLINE software, each peptide segment is 6, and the sensitivity and the accuracy of detection are improved. The method can detect each allergen component of sesame simply, quickly, accurately and sensitively with high flux, and has great significance for protecting the safety of consumers, promoting the food import and export trade and implementing the food allergen identification method.
priorityDate 2018-07-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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