Evidence map›Paper›PMID 36199613›Full record

ArticleRSC advances2022

Detection and discrimination of sulfur dioxide using a colorimetric sensor array.

Chaoqiang Ding, Yan Ren, Xinyang Liu, Jingjing Zeng, Xinping Yu, Daxiang Zhou, Yanjie Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Chaoqiang DingCollege of Biology and Food Engineering, Chongqing Three Gorges University Wanzhou Chongqing 404100 P. R. China +86 23 5810 2522 +86 23 5810 2522.
Yan RenCollege of Biology and Food Engineering, Chongqing Three Gorges University Wanzhou Chongqing 404100 P. R. China +86 23 5810 2522 +86 23 5810 2522.
Xinyang LiuCollege of Biology and Food Engineering, Chongqing Three Gorges University Wanzhou Chongqing 404100 P. R. China +86 23 5810 2522 +86 23 5810 2522.
Jingjing ZengCollege of Biology and Food Engineering, Chongqing Three Gorges University Wanzhou Chongqing 404100 P. R. China +86 23 5810 2522 +86 23 5810 2522.
Xinping YuCollege of Biology and Food Engineering, Chongqing Three Gorges University Wanzhou Chongqing 404100 P. R. China +86 23 5810 2522 +86 23 5810 2522.
Daxiang ZhouCollege of Biology and Food Engineering, Chongqing Three Gorges University Wanzhou Chongqing 404100 P. R. China +86 23 5810 2522 +86 23 5810 2522.
Yanjie LiCollege of Biology and Food Engineering, Chongqing Three Gorges University Wanzhou Chongqing 404100 P. R. China +86 23 5810 2522 +86 23 5810 2522.ORCID https://orcid.org/0000-0002-9282-4159

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discrimination and detection of sulfur dioxide residues in foods using a simple colorimetric array have been achieved. The difference maps before and after the reaction showed that the specific color fingerprint was related to the amount of sulfur dioxide. The results of principal component analysis (PCA), hierarchical clustering analysis (HCA) and linear discriminant analysis (LDA) demonstrated that the as-fabricated colorimetric sensor array have good performance for the discrimination of sulfur dioxide and other interferents, as well as different concentrations of sulfur dioxide. Moreover, the array has been successfully applied to determine the concentration of sulfur dioxide residues in real samples and revealed good accuracy, precision and repeatability.

Identifiers

PMID36199613
PMCPMC9469182

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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.