Academic Journal

Mass Spectrometry-Based Techniques for the Detection of Non-Intentionally Added Substances in Bioplastics

التفاصيل البيبلوغرافية
العنوان: Mass Spectrometry-Based Techniques for the Detection of Non-Intentionally Added Substances in Bioplastics
المؤلفون: Nicolò Riboni, Federica Bianchi, Antonella Cavazza, Maurizio Piergiovanni, Monica Mattarozzi, Maria Careri
المصدر: Separations, Vol 10, Iss 4, p 222 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: bioplastics, non-intentionally added substances, mass spectrometry, biopolymers, food contact materials, Physics, QC1-999, Chemistry, QD1-999
الوصف: The safety of food contact materials is a hot topic since chemicals can migrate from packaging into food, thus raising health concerns about and/or producing changes in the organoleptic properties of foodstuffs. Migration tests are required to demonstrate the compliance with current regulations and to investigate the transferred compounds. In this context, mass spectrometry is the analytical technique of choice for the detection and quantitation of both intentionally added substances, such as antioxidants, stabilizers, processing aids, and non-intentionally added substances (NIAS). Untargeted strategies represent a major analytical challenge, providing a comprehensive fingerprinting of the packaging material and migrating components, allowing for NIAS identification. Hyphenated mass spectrometry-based techniques have been devised for screening the presence of migrating contaminants and for quantitation purposes. Both low-resolution (LRMS) and high-resolution (HRMS) methods were screened, with a special emphasis on the latter because of its capability to directly characterize food contact materials with minimal/no sample preparation, avoiding chromatographic separation, and reducing sample handling, analysis costs, and time. Examples related to the migration of contaminants from existing or newly developed bioplastic materials will be discussed, providing an overview of the most used MS-based methods, covering the state-of-the-art approaches from 2012 up to 2022.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2297-8739
Relation: https://www.mdpi.com/2297-8739/10/4/222; https://doaj.org/toc/2297-8739
DOI: 10.3390/separations10040222
URL الوصول: https://doaj.org/article/870d565cb5404d62a262589c55a3b7a3
رقم الانضمام: edsdoj.870d565cb5404d62a262589c55a3b7a3
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22978739
DOI:10.3390/separations10040222