Evidence map›Paper›PMID 35323427›Full record

ArticleBiosensors2022

Portable FRET-Based Biosensor Device for On-Site Lead Detection.

Wei-Qun Lai, Yu-Fen Chang, Fang-Ning Chou, De-Ming Yang

Open access · goldAbstract read
In one paragraph

Article 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
2.0field-weighted citation impact, top 14% 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, 25 citations in OpenAlex.

  1. Review
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  3. Article
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  5. Article
  6. Portable sensing devices for smart healthcare and prevention of lead poisoning.Journal of the Chinese Medical Association : JCMA · 2023
    Review
  7. Review
  8. Article
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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

4 authors at 2 institutions in 1 country.

Wei-Qun LaiMicroscopy Service Laboratory, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan.ORCID 0000-0002-0499-0051
Yu-Fen ChangLumiSTAR Biotechnology, Inc., Taipei City 115, Taiwan.
Fang-Ning ChouMicroscopy Service Laboratory, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan.ORCID 0000-0002-3797-5958
De-Ming YangMicroscopy Service Laboratory, Basic Research Division, Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan.ORCID 0000-0002-6923-4855
National Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

Ministry of Science and Technology MOST 105-2320-B-075-002, MOST 108-2745-8-075-001 and MOST 110-2320-B075-005Taipei Veterans General Hospital V110C-018
6 · The paper itself

Abstract

Most methods for measuring environmental lead (Pb) content are time consuming, expensive, hazardous, and restricted to specific analytical systems. To provide a facile, safe tool to detect Pb, we created pMet-lead, a portable fluorescence resonance energy transfer (FRET)-based Pb-biosensor. The pMet-lead device comprises a 3D-printed frame housing a 405-nm laser diode-an excitation source for fluorescence emission images (YFP and CFP)-accompanied by optical filters, a customized sample holder with a Met-lead 1.44 M1 (the most recent version)-embedded biochip, and an optical lens aligned for smartphone compatibility. Measuring the emission ratios (Y/C) of the FRET components enabled Pb detection with a dynamic range of nearly 2 (1.96), a pMet-lead/Pb dissociation constant (K

Indexed as

Biosensing TechniquesFluorescence Resonance Energy TransferSmartphoneWaterWaterFRETgroundwater leadlead biosensorsMet-leadportable Pb sensorsmartphone-based devicetap water lead

Identifiers

PMID35323427
PMCPMC8946079
OpenAlexW4214832396

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.