Nanocomposite Films for Food Packagingbiodegradable polymer synthesis and propertiesEffects and risks of endocrine disrupting chemicals

M. Piergiovanni, Marco Fontanarosa, N. Riboni, Antonella Cavazza, M. Mattarozzi, Federica Bianchi, M. Careri

2026.3.1Green Analytical Chemistry

DOI: 10.1016/j.greeac.2026.100330

Abstract

• A reliable UAE-GC-MS method for the analysis of IAS and NIAS in food contact materials • Quality by Design for optimizing the extraction of IAS and NIAS from bioplastics • CPME as a green alternative solvent for UAE of extractable and leachables • Compliance with the green analytical chemistry principles The use of bioplastics as food contact materials (FCMs) is rapidly expanding as a sustainable alternative to conventional plastics, with polylactic acid (PLA) being among the most widely used biopolymer. The complex nature of bioplastics makes extraction and detection of intentionally and non-intentionally added substances (IAS and NIAS) particularly challenging, requiring the development of efficient and environmentally sustainable analytical procedures. In this study, a green analytical approach based on ultrasound-assisted extraction followed by GC-MS was developed for the untargeted analysis of GC-amenable IAS and NIAS from commercial biobased FCMs. For the first time in this context, Analytical Quality by Design principles were applied to optimize the extraction process. A screening design was applied to identify the significant critical method parameters, namely, solvent type, extraction and sonication time. A comparative assessment of conventional and green solvents was performed. Cyclopentyl methyl ether showed the highest extraction efficiency, while reducing the extraction time. The method operable design region ranged from 8:30 h to 10:50 h for extraction time and 10–25 min for sonication time. As a proof of concept, the optimized procedure was applied to bioplastic commercial items, leading to the detection of 39 volatile compounds belonging to different chemical classes. Multivariate data analysis allowed for a correct classification of samples according to their composition, demonstrating the method suitability for quality control purposes. Finally, AGREE, BAGI, and CHEMS-1 metrics were used to assess the greenness and applicability of the developed method, demonstrating a good alignment with the principles of green analytical chemistry

Citation format

PIERGIOVANNI, M., et al. Green ultrasound-assisted extraction and GC-MS for the identification of intentionally and non-intentionally added substances in bio-based food contact materials. Green Analytical Chemistry, 2026, 16: 100330.