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Particle Counting Methods Based on Microfluidic Devices

Micromachines 2023 5 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Zenglin Dang, Zenglin Dang, Yuning Jiang, Yuning Jiang, Xin Su, Zhihao Wang, Yucheng Wang, Zhe Sun, Zheng Zhao, Chi Zhang, Yuming Hong, Yuming Hong, Zhijian Liu

Summary

This review taxonomically classifies microfluidic chip-based particle counting methods by physical detection principles, covering electrical, optical, acoustic, and magnetic approaches for counting cells, bacteria, viruses, droplets, and other micro-particles. Advances in microfluidic technology are enabling increasingly precise and miniaturized particle counting systems for diverse analytical applications.

Body Systems

Particle counting serves as a pivotal constituent in diverse analytical domains, encompassing a broad spectrum of entities, ranging from blood cells and bacteria to viruses, droplets, bubbles, wear debris, and magnetic beads. Recent epochs have witnessed remarkable progressions in microfluidic chip technology, culminating in the proliferation and maturation of microfluidic chip-based particle counting methodologies. This paper undertakes a taxonomical elucidation of microfluidic chip-based particle counters based on the physical parameters they detect. These particle counters are classified into three categories: optical-based counters, electrical-based particle counters, and other counters. Within each category, subcategories are established to consider structural differences. Each type of counter is described not only in terms of its working principle but also the methods employed to enhance sensitivity and throughput. Additionally, an analysis of future trends related to each counter type is provided.

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