Please use this identifier to cite or link to this item: doi:10.22028/D291-43729
Title: Assisting the automated analysis of chemical–analytical measurements in spirits using validated algorithms and an intuitive user interface
Author(s): Grasskamp, Andreas T.
Singh, Satnam
Haug, Helen
Sauerwald, Tilman
Language: English
Title: Journal of sensors and sensor systems : JSSS
Volume: 12
Issue: 1
Pages: 93-101
Publisher/Platform: Copernicus Publications
Year of Publication: 2023
DDC notations: 620 Engineering and machine engineering
Publikation type: Journal Article
Abstract: Exhaustive analysis of chemical measurements requires considerable expenditure of time and personnel. However, many aspects of this can be automated by translating manual work into objective algorithmic routines. To this end, we developed adaptable software for gas chromatography data and validated analysis steps using whisky samples. We employed an unspecific, larger, in-house volatile organic compound (VOC) database and another specifically curated database of 217 known whisky chemicals, to automate database-matching based on mass spectra and retention indices. We managed to reduce the amount of necessary interaction, facilitated complex analysis for the less experienced user, and showed that characteristic whisky components constituted the majority of detected molecules in all 16 analyzed samples. With this approach, we present a decisive contribution towards the automated assessment of aroma profiles in food.
DOI of the first publication: 10.5194/jsss-12-93-2023
URL of the first publication: https://jsss.copernicus.org/articles/12/93/2023/
Link to this record: urn:nbn:de:bsz:291--ds-437291
hdl:20.500.11880/39167
http://dx.doi.org/10.22028/D291-43729
ISSN: 2194-878X
2194-8771
Date of registration: 12-Dec-2024
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Andreas Schütze
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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