# Electrochemically Modulated Optical Imaging Sensors Integrated with Microfluidics

**Authors:** Zehao Ye, Jiying Xu, Yi Chen, Pengfei Zhang

PMC · DOI: 10.3390/bios16020086 · Biosensors · 2026-01-30

## TL;DR

This paper introduces a new sensor that combines optical imaging and electrochemical sensing in microfluidics to analyze biological samples more effectively.

## Contribution

The novel integration of electrochemical modulation with optical imaging in microfluidics provides complementary data on analyte distribution and properties.

## Key findings

- The system successfully analyzed noble metal nanoparticles used in biosensors for signal amplification.
- The sensor was applied to monitor biological processes on live cells, demonstrating its practical utility.
- The approach enables operando analysis, offering detailed insights into complex biological fluids.

## Abstract

Microfluidics has emerged as a powerful platform for the analysis of minute sample volumes, driving its widespread adoption in biosensing applications. Optical imaging and electrochemical sensing are two typical integration strategies, each offering distinct advantages. The optical methods provide detailed spatial mapping of chemical processes, while electrochemical techniques enable selective detection that is unhindered by optical scattering from impurities. Here, we introduce a novel optical imaging–electrochemical sensor for integrated microfluidic analysis. This approach employs an electrochemical workstation to modulate optical signals, enabling the simultaneous acquisition of decoupled optical images and electrochemical readings. Consequently, it delivers complementary information, revealing both the spatial distribution of analytes and their intrinsic electrochemical properties. We detail the system design and imaging principle, demonstrate its utility through the analysis of noble metal nanoparticles, which are commonly used for signal amplification in biosensors, and finally apply it to monitor biological processes on live cells. We believe this integrated methodology will develop into a powerful tool for operando analysis in microfluidics, significantly expanding its application in the biosensing of complex biological fluids.

## Full-text entities

- **Genes:** VN1R17P (vomeronasal 1 receptor 17 pseudogene) [NCBI Gene 441931] {aka GPCR}
- **Diseases:** injury to (MESH:D014947)
- **Chemicals:** AgCl (MESH:C037548), HCl (MESH:D006851), Ag (MESH:D012834), EDTA (MESH:D004492), streptomycin (MESH:D013307), Histamine (MESH:D006632), Gold (MESH:D006046), Pt (MESH:D010984), KSCN (MESH:C009941), Dopamine hydrochloride (MESH:D004298), PBS (MESH:D007854), calcium (MESH:D002118), H2SO4 (MESH:C033158), CO2 (MESH:D002245), agarose (MESH:D012685), PFA (MESH:C003043), CTAB (MESH:D000077286), Cr (MESH:D002857), oil (MESH:D009821), BK7 (-), silicon (MESH:D012825), penicillin (MESH:D010406)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** Cat — Felis catus (Cat), Finite cell line (CVCL_XB61), CCL-2 — Mus musculus (Mouse), Undefined cell line type (CVCL_M023), A549 — Homo sapiens (Human), Lung adenocarcinoma, Cancer cell line (CVCL_0023), HeLa — Homo sapiens (Human), Human papillomavirus-related endocervical adenocarcinoma, Cancer cell line (CVCL_0030)

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12938376/full.md

## References

32 references — full list in the complete paper: https://tomesphere.com/paper/PMC12938376/full.md

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Source: https://tomesphere.com/paper/PMC12938376