Evidence map›Paper›PMID 42265494›Full record

ArticleAnalytical and bioanalytical chemistry2026

An integrated IoT microfluidic platform for vector-borne pathogen detection via closed-loop valve control and dual-mode fluid handling.

Jin Zhang, Zhenyu Wang, Changyi Hua, Jun Zhao, Minglong Wang, Anzhong Hu, Junsheng Cui, Chenggang Hong, Weilong Zhang, Yong Liu and 3 more

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 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

13 authors.

Jin ZhangUniversity of Science and Technology of China, Hefei, 230026, Anhui, China.
Zhenyu WangUniversity of Science and Technology of China, Hefei, 230026, Anhui, China.
Changyi HuaAnhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China.
Jun ZhaoAnhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China.
Minglong WangAnhui Zhongke Yikangda Biotechnology Co., Ltd., Tongling, 244000, Anhui, China.
Anzhong HuAnhui Zhongke Yikangda Biotechnology Co., Ltd., Tongling, 244000, Anhui, China.
Junsheng CuiAnhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China.
Chenggang HongAnhui Zhongke Yikangda Biotechnology Co., Ltd., Tongling, 244000, Anhui, China.
Weilong ZhangAnhui Zhongke Yikangda Biotechnology Co., Ltd., Tongling, 244000, Anhui, China.
Yong LiuAnhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China.
Guoqing DengAnhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China.
Ling ZhuAnhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China. zhul@aiofm.ac.cn.
Ke YangAnhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China. keyang@aiofm.ac.cn.

Funding

Anhui Provincial Natural Science Foundation (No. 2308085MC75), Anhui Provincial Natural Science Foundation No. 2408085MH219Excellent member of Youth Innovation Promotion Association of Chinese Academy of Sciences No. Y2022111Key Program for Young Talents in the Field of Interdisciplinary Biology of the Chinese Academy of Sciences No. RCJJ-145-24-65Major Project from Innovation Research Institute of Engineering Medicine and Medical Equipment, Hefei Comprehensive National Science Center No. HFGJKXZX-YGRH-1-005National Key Research and Development Program of China 2022YFC2302703National Key Research and Development Program of China No. 2022YFC2302700Youth Innovation Promotion Association of the Chinese Academy of Sciences No. 2021442
6 · The paper itself

Abstract

Vector-borne diseases, including arboviral infections and malaria, pose a major global health threat and underscore the need for rapid, accurate, and multiplex nucleic acid detection technologies for clinical diagnosis and surveillance. However, previous studies on reagent-preloaded and switching valve-based microfluidic cartridge platforms have insufficiently addressed several key engineering challenges, particularly the reliable control of multichannel switching valves and the inherently critical requirement for uniform reagent distribution across multiple reaction zones. These limitations affect system stability and repeatability, thereby constraining their practical applicability in RNA-based arbovirus detection and DNA-based Plasmodium genotyping. We developed a Microfluidic Vector-borne Pathogen Detection (MVPD) system that introduced comprehensive advancements in fluidic architecture, reagent management, and system informatization. The MVPD system utilized a six-reaction tube microfluidic cartridge that integrated a multichannel switching valve actuated by a magnetic field-based closed-loop control mechanism, along with a dual-mode fluid-handling strategy that combined a peristaltic pump with a constant positive-pressure source for precise fluidic manipulation. Coupled with a magnetic separation module, thermal cycling unit, and six-channel optical detection, the MVPD system achieved independently verified nucleic acid extraction with > 90% efficiency and reliable amplification of up to 36 targets with strong linearity, while completing the entire sample-in-answer-out workflow around 60 min. It further demonstrated high sensitivity, broad sample compatibility, long-term stability, specificity, and reproducible multi-target parallel detection, all in a fully integrated sample-in-answer-out manner. Multi-center testing of 417 port blood samples confirmed 100% concordance with reference methods, while real-time cloud-based data management enabled remote monitoring and efficient cross-regional surveillance. Collectively, these features showed that the MVPD system effectively addressed the critical challenges of multichannel valve control and uniform fluid distribution, providing a robust, fully automated solution for vector-borne pathogen detection.

Indexed as

Microfluidic Analytical TechniquesVector Borne DiseasesAnimalsEquipment DesignHumansClosed-loop valve controlDual-mode fluid handlingInternet of ThingsMicrofluidic cartridgeNucleic acid detectionVector-borne pathogen detection

Identifiers

PMID42265494

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.