Ensuring food safety: Microfluidic‐based approaches for the detection of food contaminants

Abstract: Detecting foodborne contamination is a critical challenge in ensuring food safety and preventing human suffering and economic losses. Contaminated food, comprising biological agents (e.g. bacteria, viruses and fungi) and chemicals (e.g. toxins, allergens, antibiotics and heavy metals), poses significant risks to public health. Microfluidic technology has emerged as a transformative solution, revolutionizing the detection of contaminants with precise and efficient methodologies. By manipulating minute volumes of fluid on miniaturized systems, microfluidics enables the creation of portable chips for biosensing applications. Advancements from early glass and silicon devices to modern polymers and cellulose‐based chips have significantly enhanced microfluidic technology, offering adaptability, flexibility, cost‐effectiveness and biocompatibility. Microfluidic systems integrate seamlessly with various biosensing reactions, facilitating nucleic acid amplification, target analyte recognition and accurate signal readouts. As research progresses, microfluidic technology is poised to play a pivotal role in addressing evolving challenges in the detection of foodborne contaminants. In this short review, we delve into various manufacturing materials for state‐of‐the‐art microfluidic devices, including inorganics, elastomers, thermoplastics and paper. Additionally, we examine several applications where microfluidic technology offers unique advantages in the detection of food contaminants, including bacteria, viruses, fungi, allergens and more. This review underscores the significant advancement of microfluidic technology and its pivotal role in advancing the detection and mitigation of foodborne contaminants.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Ensuring food safety: Microfluidic‐based approaches for the detection of food contaminants ; day:14 ; month:04 ; year:2024 ; extent:12 ; Analytical science advances ; (14.04.2024) (gesamt 12)

Contributors, Places and Time

• Creator: Kasputis, Tom ; Hosmer, Kait Elizabeth ; He, Yawen ; Chen, Juhong

Further information

• DOI: 10.1002/ansa.202400003
• URN: urn:nbn:de:101:1-2024041514031554258577
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:52 AM CEST