Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
