Green ultrasound-assisted extraction and GC-MS for the identification of intentionally and non-intentionally added substances in bio-based food contact materials

• 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

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Publication Details

Journal
Green Analytical Chemistry
Published
2026-02-17
DOI
https://doi.org/10.1016/j.greeac.2026.100330
Citations
1
Primary Topic
Nanocomposite Films for Food Packaging
Type
article
Field-Weighted Citation Impact
22.64
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article

Green ultrasound-assisted extraction and GC-MS for the identification of intentionally and non-intentionally added substances in bio-based food contact materials

Antonella Cavazza, Maria Careri, Maurizio Piergiovanni, Monica Mattarozzi et al.
1 citations
Green Analytical Chemistry
Nanocomposite Films for Food Packaging
22.64
article

Green ultrasound-assisted extraction and GC-MS for the identification of intentionally and non-intentionally added substances in bio-based food contact materials

Antonella Cavazza, Maria Careri, Maurizio Piergiovanni, Monica Mattarozzi, Marco Fontanarosa, Federica Bianchi, Nicolo’ Riboni
article en
1 citations

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

Green Analytical ChemistryVol. 16
University of Parma (IT)
Responsible consumption and production
Openalex Percentile: Top 1%
Nanocomposite Films for Food Packaging
22.64
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