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Paper-Based Microfluidic Chips for Food Hazard Factor Detection: Fabrication, Modification, and Application.

Meiqi Liang^1,2,3, Guozhi Zhang^1,2,3, Jie Song^1,2,3

¹Academy of Food Interdisciplinary Science, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.

Foods (Basel, Switzerland)

|November 25, 2023

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Paper-based microfluidic chips offer rapid, affordable food safety detection. This review explores their functionalization and applications in colorimetric, fluorescence, and spectroscopy analyses for enhanced food quality assessment.

Area of Science:

Analytical Chemistry
Food Science
Materials Science

Background:

Food safety and quality are critical for public health.
Advancements in food processing necessitate rapid, cost-effective detection methods.
Paper-based microfluidic chips offer a promising platform for quick analysis due to their portability and low cost.

Purpose of the Study:

To review the functionalization of paper-based microfluidic surfaces.
To provide an overview of recent research and applications in food safety detection.
To discuss challenges and future prospects of these analytical methods.

Main Methods:

Review of literature on functionalized paper-based microfluidic chips.
Analysis of applications in colorimetric analysis, fluorescence analysis, and surface-enhanced Raman spectroscopy.

Keywords:

detection method food safety microfluidics paper-based device

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Integration of these techniques with paper-based microfluidic platforms.

Main Results:

Functionalized paper-based microfluidic chips enable swift and reliable detection of food safety issues.
Various analytical techniques, including spectroscopy, are effectively integrated with these platforms.
Demonstrated advantages include speed, cost-effectiveness, and low resource consumption.

Conclusions:

Paper-based microfluidic technology is a valuable tool for rapid food safety assessment.
Further development is needed to overcome existing challenges and enhance future applications.
These platforms hold significant potential for improving global food quality monitoring.