Evidence map›Paper›PMID 36867213›Full record

ArticleMikrochimica acta2023

Low-cost, portable, on-site fluorescent detection of As(III) by a paper-based microfluidic device based on aptamer and smartphone imaging.

Min Yuan, Chen Li, Mengxue Wang, Hui Cao, Tai Ye, Liling Hao, Xiuxiu Wu, Fengqin Yin, Jinsong Yu, Fei Xu

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 28 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

10 authors at 1 institution in 1 country.

Min Yuan *Shanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.
Chen Li *Shanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.
Mengxue Wang *Shanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.
Hui CaoShanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.
Tai YeShanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.
Liling HaoShanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.
Xiuxiu WuShanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.
Fengqin YinShanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.
Jinsong YuShanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.
Fei XuShanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China. xufei8135@126.com.ORCID http://orcid.org/0000-0001-7745-2855
University of Shanghai for Science and Technology · CN

Funding

the Shanghai Agriculture Applied Technology Development Program 2020-02-08-00-07-F01477the Shanghai Committee of Science and Technology 18391901200
6 · The paper itself

Abstract

A turn-on fluorescent aptasensor based on a paper-based microfluidic chip was developed to detect arsenite via aptamer competition strategy and smartphone imaging. The chip was prepared by wax-printing hydrophilic channels on filter paper. It is portable, low-cost, and environmentally friendly. Double-stranded DNA consisting of aptamer and fluorescence-labeled complementary strands was immobilized on the reaction zone of the paper chip. Due to the specific strong binding between aptamer and arsenite, the fluorescent complementary strand was squeezed out and driven by capillary force to the detection area of the paper chip, so that the fluorescent signal arose in the detection area under the excitation wavelength of 488 nm. Arsenite can be quantified by using smartphone imaging and RGB image analysis. Under the optimal conditions, the paper-based microfluidic aptasensor exhibited excellent linear response over a wide range of 1 to 1000 nM, with a detection limit as low as 0.96 nM (3σ).

Indexed as

ArsenitesSmartphoneColoring AgentsLab-On-A-Chip DevicesOligonucleotidesarseniteArsenitesColoring AgentsOligonucleotidesAptamerArsenite detectionFluorescencePaper-based microfluidic chipRGB evaluationSmartphone imaging

Identifiers

PMID36867213
OpenAlexW4323036253

What OpenQuestion holds

Textmetadata
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.