Evidence map›Paper›PMID 40212993›Full record

ArticleSmall science2024

In Vitro Detection of Lactate and Uric Acid Based on Adaptive Graphene Oxide Membranes.

Bo Fang, Zeyu Zhao, Jie Ma, Heng Li, Feng Yan, Xiaoming Tao

Abstract read
In one paragraph

Article in Small science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Organic Electrochemical Transistors in Tissue-Interfaced Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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

6 authors.

Bo FangResearch Institute for Intelligent Wearable Systems The Hong Kong Polytechnic University Hong Kong 999077 China.ORCID https://orcid.org/0000-0002-8356-6901
Zeyu ZhaoResearch Institute for Intelligent Wearable Systems The Hong Kong Polytechnic University Hong Kong 999077 China.
Jie MaResearch Institute for Intelligent Wearable Systems The Hong Kong Polytechnic University Hong Kong 999077 China.
Heng LiResearch Institute for Intelligent Wearable Systems The Hong Kong Polytechnic University Hong Kong 999077 China.
Feng YanResearch Institute for Intelligent Wearable Systems The Hong Kong Polytechnic University Hong Kong 999077 China.
Xiaoming TaoResearch Institute for Intelligent Wearable Systems The Hong Kong Polytechnic University Hong Kong 999077 China.ORCID https://orcid.org/0000-0002-2406-0695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro detection of small molecules in the human circulatory system contributes a lot to prompt personalized healthcare and early disease diagnose. The precise detection requires to select target molecules for real-time noninvasive identifications, which remains a challenge derived from the lack of both molecule-sieving techniques and rapid detection tools. Herein, positively charged polymer chains into graphene oxide membranes are seeded to tune their interlayer spacing precisely and persistently within a range of 8.67-13.75 Å. The adaptive yet stable nanocapillaries allow membranes to sieve small molecules with fitted sizes, for example, salts and biomarkers. The molecule-sieving membranes with organic electrochemical transistors, further achieving an in vitro detection of lactate and uric acid with a high accuracy, are coupled. Based on this finding, a wearable sweat lactate rapid test kit, which detects sweat lactate secreted from human body within a few minutes, is demonstrated.

Indexed as

biomarkergraphene oxide membranemolecular detectionnon‐invasive testorganic electrochemical transistor

Identifiers

PMID40212993
PMCPMC11935139

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.