دورية أكاديمية
Colorimetric analysis platform based on thin layer chromatography for monitoring gluten cross-contamination in food industry.
| العنوان: | Colorimetric analysis platform based on thin layer chromatography for monitoring gluten cross-contamination in food industry. |
|---|---|
| المؤلفون: | Martinez-Aviño A; MINTOTA Research Group, Departament de Química Analítica, Facultat de Química, Universitat de Valencia, 46100 Burjassot, Spain., Moliner-Martinez Y; MINTOTA Research Group, Departament de Química Analítica, Facultat de Química, Universitat de Valencia, 46100 Burjassot, Spain. Electronic address: Yolanda.moliner@uv.es., Molins-Legua C; MINTOTA Research Group, Departament de Química Analítica, Facultat de Química, Universitat de Valencia, 46100 Burjassot, Spain., Campins-Falcó P; MINTOTA Research Group, Departament de Química Analítica, Facultat de Química, Universitat de Valencia, 46100 Burjassot, Spain. |
| المصدر: | Food chemistry [Food Chem] 2024 Aug 01; Vol. 448, pp. 139025. Date of Electronic Publication: 2024 Mar 15. |
| نوع المنشور: | Journal Article; Evaluation Study |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 7702639 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7072 (Electronic) Linking ISSN: 03088146 NLM ISO Abbreviation: Food Chem Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Barking : Elsevier Applied Science Publishers Original Publication: Barking, Eng., Applied Science Publishers. |
| مواضيع طبية MeSH: | Food Contamination*/analysis , Glutens*/analysis , Glutens*/chemistry , Colorimetry*/methods, Chromatography, Thin Layer/methods ; Food Industry |
| مستخلص: | Monitoring of the accidental presence of gluten (Glu), resulting from cross-contamination, is imperative in different industries, in particular food industry. The objective of this study was the development of an analytical platform utilizing thin-layer chromatography (TLC) with colorimetric read-out for making binary (yes/no) decisions on surfaces and/or point of these industries. The composition of the extractive phase was optimized with commercial products used in cleaning processing lines. Subsequently, an exploration of TLC separation and detection was undertaken. CN-modified nanosilica plates and 30:70 acetonitrile:water were used to achieve a selective signal for Glu residues. The study of the detection performance showed that both spectroscopic measurement and image analysis were resulted in satisfactory results for quantitate analysis (RSD = 5 %, LOD = 0.12 mg). The practical application of the proposed methodology on surfaces of the food processing lines. This work demonstrated the operational feasibility in detecting gluten cross-contaminations within the food processing industry. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Bicinchoninic acid; Food industry; Gluten; Image analysis; Nanosilica; Thin layer chromatography |
| المشرفين على المادة: | 8002-80-0 (Glutens) |
| تواريخ الأحداث: | Date Created: 20240324 Date Completed: 20240424 Latest Revision: 20240424 |
| رمز التحديث: | 20240425 |
| DOI: | 10.1016/j.foodchem.2024.139025 |
| PMID: | 38522293 |
| قاعدة البيانات: | MEDLINE |
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