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Colorimetric Sensor Array for White Wine Tasting.

Soo Chung1, Tu San Park2, Soo Hyun Park3,4

  • 1Department of Biosystems & Biomaterials Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-921, Korea. goodhahagigo@naver.com.

Sensors (Basel, Switzerland)
|July 28, 2015
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Summary
This summary is machine-generated.

A new colorimetric sensor array accurately predicts white wine taste profiles, including sweetness, sourness, and astringency. This technology offers a simple, low-cost method for wine analysis and consumer guidance.

Keywords:
artificial neural networkcolorimetricprinciple component analysistaste sensor

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Area of Science:

  • Analytical Chemistry
  • Food Science
  • Sensory Science

Background:

  • Characterizing wine taste is crucial for quality control and consumer satisfaction.
  • Objective and reliable methods for taste prediction are needed in the wine industry.

Purpose of the Study:

  • To develop and validate a colorimetric sensor array for characterizing and quantifying white wine taste.
  • To correlate sensor array data with chemical composition and sensory attributes.
  • To establish an artificial neural network model for predicting taste parameters.

Main Methods:

  • A colorimetric sensor array was used with 23 white wine samples.
  • Images were captured using a charge-coupled device (CCD) camera.
  • Principal Component Analysis (PCA) analyzed color changes (R, G, B components).
  • High-Performance Liquid Chromatography (HPLC) analyzed key chemical taste components.
  • An artificial neural network (ANN) model was developed for taste prediction.

Main Results:

  • PCA revealed distinct clusters for wines from the same grape type.
  • Trends for sweetness, sourness, and astringency were successfully mapped.
  • ANN model achieved high coefficients of determination (R2): 0.96 for sweetness, 0.95 for sourness, and 0.83 for astringency.
  • The system demonstrated sensitivity and accuracy in taste prediction.

Conclusions:

  • The developed colorimetric sensor array provides a simple, low-cost, and sensitive method for white wine taste prediction.
  • This technology can aid in consumer selection, positively impacting the wine industry.
  • The study highlights the potential of sensor arrays combined with chemometrics and machine learning for food analysis.