Evidence map›Paper›PMID 42041423›Full record

ArticleBiosensors2026

Droplet-Interlaced Generator with On-Chip Metal-Liquid Micromirrors for Enhanced Microfluidic Absorbance Detection.

Haobo Liu, Laidi Jin, Zehang Gao, Chuanjin Cui, Yongjie Yu, Fei Deng, Xiuli Gao, Jianlong Zhao, Shengtai Bian, Shilun Feng

Abstract read
In one paragraph

Article in Biosensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Haobo LiuSchool of Electrical Engineering, North China University of Science and Technology, Tangshan 063000, China.
Laidi JinDepartment of Stomatology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, China.
Zehang GaoState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.ORCID 0000-0002-6410-6440
Chuanjin CuiSchool of Electrical Engineering, North China University of Science and Technology, Tangshan 063000, China.
Yongjie YuSchool of Materials Engineering, Changzhou Vocational Institute of Industry Technology, Changzhou 213164, China.ORCID 0000-0002-6454-8986
Fei DengGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia.ORCID 0000-0002-5606-0278
Xiuli GaoState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Jianlong ZhaoState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Shengtai BianAgriculture and Forestry Artificial Intelligence Research Institute, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0000-0001-8198-2234
Shilun FengSchool of Electrical Engineering, North China University of Science and Technology, Tangshan 063000, China.ORCID 0000-0002-2560-2417

Funding

the equipment research and development projects of the Chinese Academy of Sciences PTYQ2024BJ0007the equipment research and development projects of the Chinese Academy of Sciences PTYQ2024YZ0010the National Key Research and Development Program of China 2023YFB3208200the National Natural Science Foundation of China No. 62504234the Science and Technology Commission of Shanghai Municipality Project XTCX-KJ-2024-038
6 · The paper itself

Abstract

Droplet microfluidics has been widely used in biological, chemical, and medical research owing to its advantages of miniaturization, high throughput, and low reagent consumption. However, limited sensitivity and optical path length in on-chip absorbance detection remain major challenges for droplet-based microfluidic analysis. Traditional absorbance detection suffers from low sensitivity due to the extremely short optical path in microfluidic channels, while existing optical path extension methods have drawbacks such as complex fabrication, easy droplet rupture, or strict incident angle requirements. To address these issues, this study developed a droplet microfluidic absorbance detection platform integrating optical fibers, on-chip micromirrors, external fluidic actuation, and an absorbance detection module. Microchannel sidewalls filled with low-melting-point metal act as mirrors; the multi-reflection optical path, combined with optical fibers and micromirrors, compensates for insufficient light manipulation and effectively extends the absorption path length, improving sensitivity and accuracy. Using this method, the detection limit for methylene blue solution was 20 μM, and the sensitivity for

Indexed as

Biosensing TechniquesLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesMicrofluidicsEquipment DesignEscherichia coliMetalsOptical FibersMetalsabsorbance detectionmicrofluidicsoptical fiberperistaltic pump

Identifiers

PMID42041423
PMCPMC13114035

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.