E-sensing and nanoscale-sensing devices associated with data processing algorithms applied to food quality control: a...

Area of Science:

• Food Science
• Analytical Chemistry
• Sensor Technology

Background:

• Electronic sensing devices (e-noses, e-tongues, e-eyes) analyze compounds in food.
• These sensors detect multiple compounds in complex food matrices.
• Chemometric tools are applied to sensor responses for various analytical goals.

Purpose of the Study:

• To systematically review the application of e-sensing technologies with chemometric methods for food quality control (FQC).
• To assess the current state and future trends of these combined approaches.

Main Methods:

• Systematic literature review following PRISMA guidelines.
• Searched PubMed, Scopus, and Web of Science databases.
• Selected 109 eligible articles for analysis.

Main Results:

• The integration of e-sensing and chemometrics is essential for FQC.
• Exploratory analyses were most common; classification/regression methods were less investigated.
• Artificial intelligence/machine learning methods demonstrated superior classification/regression performance but were underutilized.
• Data fusion techniques showed promising results.

Conclusions:

• E-sensing coupled with chemometrics offers significant potential for FQC.
• Future research should focus on advanced AI/machine learning and data fusion.
• Miniaturized and nanoscale sensors represent a promising future trend.