Evidence map›Paper›PMID 31933217›Full record

ArticleNanoscale research letters2020

A plasmonic thermal sensing based portable device for lateral flow assay detection and quantification.

Zhuo Qu, Kan Wang, Gabriel Alfranca, Jesús M de la Fuente, Daxiang Cui

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanoscale research letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 42 citations in OpenAlex.

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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

5 authors at 1 institution in 2 countries.

Zhuo QuInstitute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Rd, Shanghai, 200240, China.
Kan WangInstitute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Rd, Shanghai, 200240, China.
Gabriel AlfrancaInstitute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Rd, Shanghai, 200240, China. alfrancagabriel@gmail.com.
Jesús M de la FuenteInstitute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Rd, Shanghai, 200240, China. jmfuente@unizar.es.
Daxiang CuiInstitute of Nano Biomedicine and Engineering, Shanghai Engineering Research Center for Intelligent diagnosis and treatment instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Rd, Shanghai, 200240, China. dxcui@sjtu.edu.cn.ORCID http://orcid.org/0000-0003-4513-905X
Shanghai Jiao Tong University · CN

Funding

National Basic Research Program of China (973 Program) 2017YFA0205301 and 2015CB931802National Key Scientific Instrument and Equipment Development Projects of China (CN) 81803094, 81602184, 81822024 and 81571729
6 · The paper itself

Abstract

Point-of-care testing (POCT) is widely used for early diagnosis and monitoring of diseases. Lateral flow assay (LFA) is a successfully commercial tool for POCT. However, LFA often suffers from a lack of quantification and analytical sensitivity. To solve these drawbacks, we have previously developed a thermal LFA using plasmonic gold nanoparticles for thermal contrast into a portable device. Although this methodology significantly improves the analytical sensitivity compared with conventional visual detection, quantification problems are still remaining. In this study, we optimized the operating conditions for the device using conduction and radiation thermal sensing modes allowing the quantification of LFA. The limit of detection of the strips merely containing nanoparticles was decreased by 5-fold (conduction mode) and 12-fold (radiation mode) compared to traditional visual detection. The effect of the ambient temperature was studied for both methods of detection showing that the radiation mode was more affected by the ambient temperature than the conduction mode. To validate the thermal sensing method, human chorionic gonadotropin (HCG) biomarker was quantified using our LFA strips, obtaining a detection limit of 2.8 mIU/mL when using the radiation method of detection.

Indexed as

Biomarker quantificationLFAPlasmonic thermal sensingPOCT

Identifiers

PMID31933217
PMCPMC6957652
OpenAlexW3002820264

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.