Evidence map›Paper›PMID 35807472›Full record

ArticleMolecules (Basel, Switzerland)2022

An Improved POD Model for Fast Semi-Quantitative Analysis of Carbendazim in Fruit by Surface Enhanced Raman Spectroscopy.

Qiaoling Yang, Hong Lin, Jinge Ma, Niannian Chen, Chaomin Zhao, Dehua Guo, Bing Niu, Zhihui Zhao, Xiaojun Deng, Qin Chen

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

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 4 institutions in 1 country.

Qiaoling YangSchool of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China.ORCID 0000-0002-0858-7745
Hong LinDepartment of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Jinge MaTech Ctr Anim Plant & Food Inspect & Quarantine, Shanghai Customs, Shanghai, 200135, China.
Niannian ChenTech Ctr Anim Plant & Food Inspect & Quarantine, Shanghai Customs, Shanghai, 200135, China.
Chaomin ZhaoTech Ctr Anim Plant & Food Inspect & Quarantine, Shanghai Customs, Shanghai, 200135, China.
Dehua GuoTech Ctr Anim Plant & Food Inspect & Quarantine, Shanghai Customs, Shanghai, 200135, China.
Bing NiuSchool of Life Sciences, Shanghai University, Shanghai 200444, China.
Zhihui ZhaoShanghai Oceanhood Instrument Equipment Co., Ltd., Shanghai 201608, China.
Xiaojun DengTech Ctr Anim Plant & Food Inspect & Quarantine, Shanghai Customs, Shanghai, 200135, China.
Qin ChenSchool of Life Sciences, Shanghai University, Shanghai 200444, China.
Shanghai Customs College · CNShanghai University · CNShanghai Jiao Tong University · CNShanghai University of Sport · CN

Funding

Science and Technology Joint Project of the Yangtze River Delta 19395810100Shanghai Agricultural Research Project 19391901500Shanghai Technical Standard Project 18DZ2201200the National Key Research and Development Plan Project 2018YFC1603503
6 · The paper itself

Abstract

The current detection method of carbendazim suffers from the disadvantages of complicated preprocessing and long cycle time. In order to solve the problem of rapid quantitative screening of finite contaminants, this article proposed a qualitative method based on characteristic peaks and a semi-quantitative method based on threshold to detect carbendazim in apple, and finally the method is evaluated by a validation system based on binary output. The results showed that the detection limit for carbendazim was 0.5 mg/kg, and the detection probability was 100% when the concentration was no less than 1 mg/kg. The semi-quantitative analysis method had a false positive rate of 0% and 5% at 0.5 mg/kg and 2.5 mg/kg, respectively. The results of method evaluation showed that when the added concentration was greater than 2.5 mg/kg, the qualitative detection method was consistent with the reference method. When the concentration was no less than 5 mg/kg, the semi-quantitative method is consistent between different labs. The semi-quantitative method proposed in this study can achieve the screening of finite contaminants in blind samples and simplify the test validation process through the detection probability model, which can meet the needs of rapid on-site detection and has a good application prospect.

Indexed as

FruitSpectrum Analysis, RamanBenzimidazolesCarbamatesBenzimidazolesCarbamatescarbendazimcarbendazimprobability of detection modelrapid detection method evaluationsemi-quantitative analysissurface-enhanced Raman spectroscopy

Identifiers

PMID35807472
PMCPMC9268280
OpenAlexW4283765955

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.