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Development of a LC-MS method for the discrimination between trace level Prunus contaminants of spices.
Inman, Sophie E; Groves, Kate; McCullough, Bryan; Quaglia, Milena; Hopley, Chris.
Afiliação
  • Inman SE; LGC, Queens Road, Teddington, Middlesex TW11 0LY, United Kingdom. Electronic address: Sophie.Inman@LGCgroup.com.
  • Groves K; LGC, Queens Road, Teddington, Middlesex TW11 0LY, United Kingdom. Electronic address: Kate.Groves@lgcgroup.com.
  • McCullough B; LGC, Queens Road, Teddington, Middlesex TW11 0LY, United Kingdom. Electronic address: Bryan.McCullough@lgcgroup.com.
  • Quaglia M; LGC, Queens Road, Teddington, Middlesex TW11 0LY, United Kingdom. Electronic address: Milena.Quaglia@lgcgroup.com.
  • Hopley C; LGC, Queens Road, Teddington, Middlesex TW11 0LY, United Kingdom. Electronic address: Christopher.Hopley@lgcgroup.com.
Food Chem ; 245: 289-296, 2018 Apr 15.
Article em En | MEDLINE | ID: mdl-29287373
The need for an analytical procedure for the identification of allergens present at trace levels in foods was highlighted by conflicting results in a case of contamination of the spice cumin. The application of a bottom-up proteomics experiment was investigated to identify marker peptides for potential contaminant nuts which could then be monitored with high specificity and sensitivity by selective reaction monitoring experiments. The method developed allowed for the distinction between two closely related Prunus species, almond and mahaleb, in two different spices, cumin and paprika. The paprika sample was found to be contaminated with almond and the cumin sample, contaminated at a much lower level, was found to be contaminated with mahaleb. The method could be applied to any protein-dense food matrix allergen so long as suitable control and reference samples can be acquired.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Contaminação de Alimentos / Cromatografia Líquida / Especiarias / Prunus / Limite de Detecção Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Espectrometria de Massas / Contaminação de Alimentos / Cromatografia Líquida / Especiarias / Prunus / Limite de Detecção Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article