Next-generation microfluidics based on artificial intelligence: Applications for food sample analysis

IF 4.9 2区化学 Q1 CHEMISTRY, ANALYTICAL

Microchemical Journal Pub Date : 2025-03-19 DOI:10.1016/j.microc.2025.113395

Sara Movahedi , Farshad Bahramian , Mahnaz Ahmadi , Niki Pouyanfar , Reyhane Masoudifar , Masoumeh Ghalkhani , Chaudhery Mustansar Hussain , Rüstem Keçili , Saeed Siavashy , Fatemeh Ghorbani-Bidkorpeh

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Abstract

Background

Microfluidics has transformed research across science, offering advantages like reduced sample waste and costs over traditional methods. Despite these benefits, microfluidics generates large datasets, posing analysis challenges with conventional tools. To address this, researchers integrate artificial intelligence (AI) with microfluidics. In food safety research, a critical area for human health, precise and reliable platforms are essential. AI-integrated microfluidics platforms show promise, attracting attention for their unique advantages in food sample analysis.

Scope and approach

This review explores recent advancements in integrating artificial intelligence (AI) with microfluidics for food sample analysis. It introduces AI and microfluidics principles, discusses their synergistic applications, and examines various algorithms and microfluidic chip designs. It highlights AI-microfluidics integration to enhance food analysis through data processing, pattern recognition, and predictive modeling. It then discusses progress, challenges, and opportunities in this interdisciplinary approach and its potential impact on food analysis.

Key findings and conclusions

Integrating AI and microfluidics creates a powerful platform for rapid detection in food analysis, enhancing accuracy, sensitivity, and real-time data processing. This interdisciplinary approach unlocks new possibilities in food safety, quality control, and environmental assessment. Future research should prioritize refining AI algorithms, integrating advanced sensors, addressing scalability, and developing regulatory frameworks to support widespread adoption.

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来源期刊

Microchemical Journal 化学-分析化学

CiteScore

8.70

自引率

8.30%

发文量

1131

审稿时长

1.9 months

期刊介绍： The Microchemical Journal is a peer reviewed journal devoted to all aspects and phases of analytical chemistry and chemical analysis. The Microchemical Journal publishes articles which are at the forefront of modern analytical chemistry and cover innovations in the techniques to the finest possible limits. This includes fundamental aspects, instrumentation, new developments, innovative and novel methods and applications including environmental and clinical field. Traditional classical analytical methods such as spectrophotometry and titrimetry as well as established instrumentation methods such as flame and graphite furnace atomic absorption spectrometry, gas chromatography, and modified glassy or carbon electrode electrochemical methods will be considered, provided they show significant improvements and novelty compared to the established methods.