Smart E-Tongue Based on Polypyrrole Sensor Array as Tool for Rapid Analysis of Coffees from Different Varieties

Area of Science:

• Electrochemistry
• Food Science
• Sensor Technology

Background:

• Coffee adulteration is a significant economic issue, impacting quality and authenticity.
• Traditional coffee analysis methods are time-consuming, expensive, and require specialized expertise.
• Developing rapid, cost-effective analytical tools is crucial for the coffee industry.

Purpose of the Study:

• To evaluate a smart electronic tongue (e-tongue) with a polypyrrole sensor array for analyzing coffee varieties.
• To assess the e-tongue's capability in rapid coffee quality assessment and adulteration detection.
• To explore the potential of polypyrrole-based sensors in differentiating coffee bean origins.

Main Methods:

• Development of a smart e-tongue featuring a polypyrrole-based voltammetric sensor array with seven electrodes.
• Utilized a portable multi-potentiostat operated via smartphone for data acquisition.
• Analyzed voltammetric signals from five Arabica coffee varieties using principal component analysis assisted by neural networks (PCNN) and cluster analysis (CA).

Main Results:

• The polypyrrole sensor array generated distinct electrochemical "fingerprints" for each coffee variety.
• PCNN and cluster analysis successfully discriminated among the five tested Arabica coffee samples.
• The smart e-tongue demonstrated high efficacy in differentiating coffee varieties based on their electrochemical profiles.

Conclusions:

• Polypyrrole-based smart e-tongues show significant potential as rapid, cost-effective, and portable tools for coffee analysis.
• This technology can reliably assess coffee quality and detect adulteration.
• The findings suggest broader applicability of this e-tongue system in the food and beverage industry for authenticity and quality control.