Evidence map›Paper›PMID 37780345›Full record

ArticleFood chemistry: X2023

A smartphone-assisted colorimetric aptasensor based on aptamer and gold nanoparticles for visual, fast and sensitive detection of ZEN in maize.

Liyuan Zhang, Jiayu Chen, Lifeng Lu, Runzhong Yu, Dongjie Zhang

Abstract read
In one paragraph

Article in Food chemistry: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Liyuan ZhangCollege of Food Science, Heilongjiang Bayi Agricultural University, 5 Xinfeng Road, Daqing 163319, PR China.
Jiayu ChenCollege of Food Science, Heilongjiang Bayi Agricultural University, 5 Xinfeng Road, Daqing 163319, PR China.
Lifeng LuCollege of Food Science, Heilongjiang Bayi Agricultural University, 5 Xinfeng Road, Daqing 163319, PR China.
Runzhong YuCollege of Information and Electrical Engineering, Heilongjiang Bayi Agricultural University, 5 Xinfeng Road, Daqing 163319, PR China.
Dongjie ZhangCollege of Food Science, Heilongjiang Bayi Agricultural University, 5 Xinfeng Road, Daqing 163319, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A simple, fast, low cost, sensitive, intuitive, visual, label-free, and smartphone-assisted aptamer sensor based on colorimetric assay for the measurement of zearalenone was constructed. The nucleic acid aptamer of zearalenone was used as the recognition element and gold nanoparticles were used as the indicator. Several factors that could influence sensitivity, including the concentration of aptamer and NaCl, and incubation time, and specificity, have been investigated. The results showed that under the optimal conditions, the signal had a good linear relationship when zearalenone concentration is 5-300 ng/mL. A linear regression equation is Y = 0.0003X + 0.5128 (R

Indexed as

AptamerColorimetric aptamer sensorGold nanoparticlesMeasurementSmartphone assistedZearalenone

Identifiers

PMID37780345
PMCPMC10534090

What OpenQuestion holds

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Registered trials

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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.