A colorimetric sensor array-based classification of coffees
| Autor: | Su-Yeon Kim, Bo-Sik Kang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Colorimetric sensor array
01 natural sciences 0404 agricultural biotechnology Materials Chemistry Statistical analysis Electrical and Electronic Engineering Instrumentation Aroma Mathematics biology business.industry 010401 analytical chemistry Metals and Alloys Pattern recognition 04 agricultural and veterinary sciences Condensed Matter Physics Linear discriminant analysis biology.organism_classification 040401 food science 0104 chemical sciences Surfaces Coatings and Films Electronic Optical and Magnetic Materials Hierarchical clustering Principal component analysis Espresso coffee Artificial intelligence business |
| Zdroj: | Sensors and Actuators B: Chemical. 275:277-283 |
| ISSN: | 0925-4005 |
| DOI: | 10.1016/j.snb.2018.08.058 |
| Popis: | A method based on colorimetric sensor array (CSA) was used to classify different coffees. The array was fabricated by printing twelve sensing materials selective to key coffee aroma odorants on a hydrophobic membrane. The unique color profile for each coffee sample was obtained, resulting in facile differentiation by the naked eye without any statistical analysis. The color responses of CSA were evaluated by principal component analysis and hierarchical cluster analysis to identify classification patterns of ground roasted coffee, espresso coffee, and aero-press coffee samples, and the samples were successfully distinguished according to their categories such as variety and roast degree of coffee beans or brewing procedure. The results of hierarchical cluster analysis and linear discriminant analysis using the CSA data obtained from sixty coffee samples demonstrate that the CSA is a potentially promising methodology for rapid discrimination of different coffees. |
| Databáze: | OpenAIRE |
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