Methods for the Fast Detection of Unpleasant Odorants and Other Non-intentionally Added Substances in Recyclates
Gomes de Aragao Belé T, Haug H, Sauerwald T (2025)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2025
Publisher: Springer Science and Business Media Deutschland GmbH
Edited Volumes: Springer Handbook of Circular Plastics Economy
Series: Springer Handbooks
City/Town: Cham
Book Volume: Part F590
Pages Range: 667-682
ISBN: 978-3-031-66209-6
DOI: 10.1007/978-3-031-66209-6_34
Abstract
This chapter will give an insight into analytical systems for the detection of odorants and other volatile compounds in recyclates. In this field, comprehensive, yet very time-consuming, offline analytical methods for sampling, chromatographic separation, identification, and quantification include, for example, solvent extraction, (two-dimensional) gas chromatography (GC) coupled with high-resolution mass spectrometry (MS), and flame ionization detection (FID). They serve as a gold standard for the identification and quantification of volatiles and can be complemented with elaborate olfactometric investigations through GC-olfactometry (GC-O) analysis using aroma extraction dilution analysis (AEDA) to describe each odorant quantitatively. However, not all applications require a complete identification of all components and therefore, a different approach may need to be chosen. For established methods for volatiles and odorants analysis, most steps require extensive manual work in sample preparation, measurement, and data processing. Due to its high effort, offline character and time consumption, there is a thrive for faster and less expensive methods and instrumentation in every aspect. Starting from the perspective of recyclate quality monitoring in a circular economy and its specific challenges and needs, we try to give an overview into established as well as promising upcoming methods. This includes different aspects of sample preparation, instrumentation as well as strategies for the automation of lab work and data evaluation. It should serve as an easy access to this complex topic and provide a broad overview and hints as for a deeper dive into this topic.
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Germany (DE)How to cite
APA:
Gomes de Aragao Belé, T., Haug, H., & Sauerwald, T. (2025). Methods for the Fast Detection of Unpleasant Odorants and Other Non-intentionally Added Substances in Recyclates. In Andrea Buettner, Eckhard Weidner (Eds.), Springer Handbook of Circular Plastics Economy. (pp. 667-682). Cham: Springer Science and Business Media Deutschland GmbH.
MLA:
Gomes de Aragao Belé, Tiago, Helen Haug, and Tilman Sauerwald. "Methods for the Fast Detection of Unpleasant Odorants and Other Non-intentionally Added Substances in Recyclates." Springer Handbook of Circular Plastics Economy. Ed. Andrea Buettner, Eckhard Weidner, Cham: Springer Science and Business Media Deutschland GmbH, 2025. 667-682.
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