Colorimetric Sensor Array for White Wine Tasting
| Autor: | Young Min Bae, Soo Jin Chung, Seong In Cho, Seongmin Park, Joon Yong Kim, Daesik Son, Tusan Park, Soo Hyun Park |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Taste
Color Wine lcsh:Chemical technology Biochemistry Article colorimetric Analytical Chemistry principle component analysis Sensor array Image Processing Computer-Assisted lcsh:TP1-1185 Food science Electrical and Electronic Engineering Colorimetry Coloring Agents Instrumentation Chromatography High Pressure Liquid Principal Component Analysis taste sensor artificialneural network Chemistry Sweetness Models Theoretical Atomic and Molecular Physics and Optics Microspheres White Wine Principal component analysis Wine tasting Neural Networks Computer artificial neural network |
| Zdroj: | Sensors, Vol 15, Iss 8, Pp 18197-18208 (2015) Sensors (Basel, Switzerland) Sensors Volume 15 Issue 8 Pages 18197-18208 SENSORS(15): 8 |
| ISSN: | 1424-8220 |
| Popis: | A colorimetric sensor array was developed to characterize and quantify the taste of white wines. A charge-coupled device (CCD) camera captured images of the sensor array from 23 different white wine samples, and the change in the R, G, B color components from the control were analyzed by principal component analysis. Additionally, high performance liquid chromatography (HPLC) was used to analyze the chemical components of each wine sample responsible for its taste. A two-dimensional score plot was created with 23 data points. It revealed clusters created from the same type of grape, and trends of sweetness, sourness, and astringency were mapped. An artificial neural network model was developed to predict the degree of sweetness, sourness, and astringency of the white wines. The coefficients of determination (R-2) for the HPLC results and the sweetness, sourness, and astringency were 0.96, 0.95, and 0.83, respectively. This research could provide a simple and low-cost but sensitive taste prediction system, and, by helping consumer selection, will be able to have a positive effect on the wine industry. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|