Evidence map›Paper›PMID 42195429›Full record

ArticleMicromachines2026

Fabrication of Paper Microfluidic Chips via Wax Soft Lithography.

Xinyi Chen, Jie Zhou, Jiahua Zhong, Zitong Ye, Qinghao He, Hao Chen, Weijin Guo

Abstract read
In one paragraph

Article in Micromachines, 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

7 authors.

Xinyi ChenDepartment of Biomedical Engineering, Shantou University, Shantou 515063, China.ORCID 0009-0005-0816-9091
Jie ZhouDepartment of Biomedical Engineering, Shantou University, Shantou 515063, China.
Jiahua ZhongDepartment of Biomedical Engineering, Shantou University, Shantou 515063, China.
Zitong YeDepartment of Biomedical Engineering, Shantou University, Shantou 515063, China.
Qinghao HeDepartment of Biomedical Engineering, Shantou University, Shantou 515063, China.
Hao ChenDepartment of Biomedical Engineering, Shantou University, Shantou 515063, China.
Weijin GuoDepartment of Biomedical Engineering, Shantou University, Shantou 515063, China.ORCID 0000-0003-2444-6771

Funding

Department of Education of Guangdong Province 2024KQNCX107National Natural Science Foundation of China 62404130Shantou University NTF20034
6 · The paper itself

Abstract

Paper-based microfluidic devices (μPADs) have attracted significant attention for point-of-care testing (POCT), environmental monitoring, and food safety due to their low cost, ease of use, and minimal instrument dependence. However, fabricating high-resolution and reproducible microchannels on paper remains challenging. Conventional methods such as wax printing, photolithography, and inkjet printing are limited by resolution or equipment cost. Here, we present a low-cost, high-resolution fabrication method for μPADs, termed wax soft lithography, which combines wax printing with soft lithography. Through this method, microchannels with a minimum width of 234 ± 62 μm were consistently produced, and complex patterns were successfully fabricated, demonstrating high precision and reproducibility. As a proof-of-concept demonstration of device functionality, the fabricated μPADs were used to detect glucose in spiked urine samples, showing a concentration-dependent colorimetric response. This method provides an effective route for rapid production of high-resolution μPADs in resource-limited settings. With further validation before practical applications, this method shows promise for future development in POCT.

Indexed as

glucosepaper microfluidicsPOCTsoft lithographywax patterning

Identifiers

PMID42195429
PMCPMC13209656

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.