Evidence map›Paper›PMID 36551131›Full record

ReviewBiosensors2022

Recent Advances in Wearable Biosensors for Non-Invasive Detection of Human Lactate.

Yutong Shen, Chengkun Liu, Haijun He, Mengdi Zhang, Hao Wang, Keyu Ji, Liang Wei, Xue Mao, Runjun Sun, Fenglei Zhou

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.3field-weighted citation impact, top 4% of its field
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

9 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Lactate in Anaphylaxis: 100 Years On.Sports medicine (Auckland, N.Z.) · 2025
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. 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

10 authors at 3 institutions in 2 countries.

Yutong ShenSchool of Textile Science and Engineering, Xi'an Polytechnic University, Xi'an 710048, China.
Chengkun LiuSchool of Textile Science and Engineering, Xi'an Polytechnic University, Xi'an 710048, China.
Haijun HeEngineering Research Center for Knitting Technology of the Ministry of Education, Jiangnan University, Wuxi 214122, China.
Mengdi ZhangSchool of Textile Science and Engineering, Xi'an Polytechnic University, Xi'an 710048, China.
Hao WangSchool of Textile Science and Engineering, Xi'an Polytechnic University, Xi'an 710048, China.
Keyu JiSchool of Textile Science and Engineering, Xi'an Polytechnic University, Xi'an 710048, China.
Liang WeiSchool of Textile Science and Engineering, Xi'an Polytechnic University, Xi'an 710048, China.ORCID 0000-0003-1472-511X
Xue MaoSchool of Textile Science and Engineering, Xi'an Polytechnic University, Xi'an 710048, China.
Runjun SunSchool of Textile Science and Engineering, Xi'an Polytechnic University, Xi'an 710048, China.
Fenglei ZhouCentre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK.ORCID 0000-0002-8348-4658
Xi'an Polytechnic University · CNJiangnan University · CNUniversity College London · GB

Funding

Innovation Capability Support Plan of Shaanxi 2020PT-043National Natural Science Foundation of China 51503168
6 · The paper itself

Abstract

Lactate, a crucial product of the anaerobic metabolism of carbohydrates in the human body, is of enormous significance in the diagnosis and treatment of diseases and scientific exercise management. The level of lactate in the bio-fluid is a crucial health indicator because it is related to diseases, such as hypoxia, metabolic disorders, renal failure, heart failure, and respiratory failure. For critically ill patients and those who need to regularly control lactate levels, it is vital to develop a non-invasive wearable sensor to detect lactate levels in matrices other than blood. Due to its high sensitivity, high selectivity, low detection limit, simplicity of use, and ability to identify target molecules in the presence of interfering chemicals, biosensing is a potential analytical approach for lactate detection that has received increasing attention. Various types of wearable lactate biosensors are reviewed in this paper, along with their preparation, key properties, and commonly used flexible substrate materials including polydimethylsiloxane (PDMS), polyethylene terephthalate (PET), paper, and textiles. Key performance indicators, including sensitivity, linear detection range, and detection limit, are also compared. The challenges for future development are also summarized, along with some recommendations for the future development of lactate biosensors.

Indexed as

Biosensing TechniquesWearable Electronic DevicesHumansLactic AcidTextilesLactic Acidflexible substrateslactate detectionnon-invasivewearable biosensors

Identifiers

PMID36551131
PMCPMC9776101
OpenAlexW4311376866

What Socratic 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 Socratic graph.