Evidence map›Paper›PMID 36875877›Full record

ArticleRSC advances2023

An environment-friendly approach using deep eutectic solvent combined with liquid-liquid microextraction based on solidification of floating organic droplets for simultaneous determination of preservatives in beverages.

Jing Zhao, Lingjun Hou, Longshan Zhao, Liqing Liu, Jianhua Qi, Longhu Wang

Abstract read
In one paragraph

Article in RSC advances, 2023. 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. Article
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

6 authors.

Jing ZhaoSchool of Pharmacy, Zhejiang University 866 Yuhangtang Road 310058 Hangzhou Zhejiang Province P.R. China wang2000@zju.edu.cn.ORCID https://orcid.org/0000-0002-4794-8769
Lingjun HouSchool of Pharmacy, Shenyang Pharmaceutical University 103 Wenhua Road 110016 Shenyang Liaoning Province P.R. China.
Longshan ZhaoSchool of Pharmacy, Shenyang Pharmaceutical University 103 Wenhua Road 110016 Shenyang Liaoning Province P.R. China.ORCID https://orcid.org/0000-0001-5330-0689
Liqing LiuZhejiang Weikang Pharmaceutical Company 15 Xinggong North Road 324100 Jiangshan Zhejiang Province P.R. China.
Jianhua QiSchool of Pharmacy, Zhejiang University 866 Yuhangtang Road 310058 Hangzhou Zhejiang Province P.R. China wang2000@zju.edu.cn.ORCID https://orcid.org/0000-0002-2723-1648
Longhu WangSchool of Pharmacy, Zhejiang University 866 Yuhangtang Road 310058 Hangzhou Zhejiang Province P.R. China wang2000@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increase in environmental protection awareness, the development of strategies to reduce the use of organic solvent used during the extraction process has attracted wide attention. A simple and green ultrasound-assisted deep eutectic solvent extraction combined with liquid-liquid microextraction based on solidification of floating organic droplets method was developed and validated for the simultaneous determination of five preservatives (methyl paraben, ethyl paraben, propyl paraben, isopropyl paraben, isobutyl paraben) in beverages. Extraction conditions including the volume of DES, value of pH, and concentration of salt were statistically optimized through response surface methodology using a Box-Behnken design. Complex Green Analytical Procedure Index (ComplexGAPI) was successfully used to estimate the greenness of the developed method and compare with the previous methods. As a result, the established method was linear, precise, and accurate over the range of 0.5-20 μg mL

Identifiers

PMID36875877
PMCPMC9982713

What OpenQuestion holds

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LicenceCC BY-NC
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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.