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Laser-Induced Carbon-Based Smart Flexible Sensor Array for Multiflavors Detection.

Yongchao Yu, Pooran C Joshi1, Jayne Wu

  • 1Oak Ridge National Laboratory , Oak Ridge , Tennessee 37831-6061 , United States.

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|September 15, 2018
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Summary
This summary is machine-generated.

A flexible electronic tongue system using laser direct writing detects multiple flavors with high sensitivity. This sensor array shows promise for identifying flavor combinations and predicting analyte concentrations.

Keywords:
carbon-based sensore-tonguelaser direct writinglaser fabricationmultidetectionsensor array

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Area of Science:

  • Materials Science
  • Sensor Technology
  • Analytical Chemistry

Background:

  • Electronic tongues offer a method for detecting multiple analytes using a single sensor array through cross-sensitivity.
  • Flexible sensor platforms are desirable for versatile applications in chemical sensing.

Purpose of the Study:

  • To develop and characterize a flexible sensor array electronic tongue system for multiflavor detection.
  • To investigate the system's ability to detect and differentiate various analytes and their concentrations.

Main Methods:

  • Fabrication of a six-unit sensor array on a flexible polyamide substrate using laser direct writing.
  • Creation of porous carbon electrodes via laser-induced carbonization for high surface-volume ratio and conductivity.
  • Surface modification of sensing units with gold plating, reduced graphene oxide, and polyaniline coatings.
  • Utilizing Principal Component Analysis (PCA) for data analysis and flavor pattern recognition.

Main Results:

  • The sensor system demonstrated effective detection of multiple flavors with a detection limit of approximately 0.1 mM for NaCl and sugar.
  • Successfully detected highly diluted commercial table vinegar (5% acetic acid).
  • Exhibited high sensitivity and selectivity for mixed analytes, enabling the prediction of concentration ratios.

Conclusions:

  • The laser-fabricated flexible electronic tongue is a promising platform for sensitive and selective multiflavor detection.
  • The system's cross-sensitivity and data analysis via PCA allow for the identification of complex flavor profiles.
  • Achieved detection limits below human sensory thresholds, indicating significant potential for food and beverage analysis.