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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File | Description | Size | Format | |
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jsss-12-93-2023.pdf | 1,34 MB | Adobe PDF | View/Open |
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