Evidence map›Paper›PMID 33194524›Full record

Article3 Biotech2020

A gas chromatography-flame ionization detection method for direct and rapid determination of small molecule volatile organic compounds in aqueous phase.

Jia Zhou, Xiaoqing Lu, Baoxia Tian, Chonglong Wang, Hao Shi, Chuping Luo, Xiangqian Li

Open access · greenAbstract read
In one paragraph

Article in 3 Biotech, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Jia ZhouFaculty of Life Science and Food Engineering, HuaiYin Institute of Technology, Huaian, 223003 People's Republic of China.
Xiaoqing LuFaculty of Life Science and Food Engineering, HuaiYin Institute of Technology, Huaian, 223003 People's Republic of China.
Baoxia TianFaculty of Life Science and Food Engineering, HuaiYin Institute of Technology, Huaian, 223003 People's Republic of China.
Chonglong WangSchool of Biology and Basic Medical Sciences, Soochow University, 199 Renai Road, Suzhou, 215123 People's Republic of China.
Hao ShiFaculty of Life Science and Food Engineering, HuaiYin Institute of Technology, Huaian, 223003 People's Republic of China.
Chuping LuoFaculty of Life Science and Food Engineering, HuaiYin Institute of Technology, Huaian, 223003 People's Republic of China.
Xiangqian LiFaculty of Life Science and Food Engineering, HuaiYin Institute of Technology, Huaian, 223003 People's Republic of China.ORCID 0000-0001-7987-0030
Huaiyin Institute of Technology · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is still difficult to directly detect low content of volatile organic compounds (VOCs) in water samples by gas chromatography (GC) because when water is the only solvent, it would result in the instability and poor repeatability of peak retention time and peak shape. The adverse effects of water on direct GC analysis of VOCs cannot be significantly reduced or eliminated by simply changing the detection condition of GC. However, it was found that the addition of methanol in samples to a certain final proportion, such as 50 or 75% (v/v), could greatly reduce or eliminate the adverse effects of water. By using 75% (v/v) methanol as a solvent, the standard curves of ethanol, acetic acid, acetone, and isopropanol with correlation coefficient (

Indexed as

Gas chromatographyIsopropanolMethanolVolatile organic compounds

Identifiers

PMID33194524
PMCPMC7655889
OpenAlexW3100861668

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.