Evidence map›Paper›PMID 34089451›Full record

ArticleEnvironmental science and pollution research international2021

3D-QSAR-aided toxicity assessment of synthetic musks and their transformation by-products.

Xixi Li, Guangzhu Li, Bing Chen, Weiyun Lin, Baiyu Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2021. 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
–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

2 citing papers in PubMed.

  1. Review
  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

5 authors.

Xixi LiNorthern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Civil Engineering, Faculty of Engineering and Applied Science, Memorial University, St. John's, NL, A1B 3X5, Canada.
Guangzhu LiJilin Provincial Key Laboratory of Municipal Wastewater Treatment, Changchun, 130012, Jilin, China.
Bing ChenNorthern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Civil Engineering, Faculty of Engineering and Applied Science, Memorial University, St. John's, NL, A1B 3X5, Canada.
Weiyun LinNorthern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Civil Engineering, Faculty of Engineering and Applied Science, Memorial University, St. John's, NL, A1B 3X5, Canada.
Baiyu ZhangNorthern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Civil Engineering, Faculty of Engineering and Applied Science, Memorial University, St. John's, NL, A1B 3X5, Canada. bzhang@mun.ca.ORCID http://orcid.org/0000-0002-6997-4765

Funding

Canada Foundation for Innovation 36677Natural Sciences and Engineering Research Council of Canada RGPIN-2018-05378
6 · The paper itself

Abstract

Synthetic musks (SMs) are fragrance additives widely used in personal care products. SMs and their transformation by-products may reach the environment even after wastewater treatment, resulting in ecological and health concerns. The identification and toxicity assessment of SM by-products generated from different chemical and biological treatment processes have been rarely studied. This study established a 3D-QSAR model based on SMs' molecular structures (independent variable) and their lethal concentration (LC

Indexed as

CosmeticsPerfumeWater Pollutants, ChemicalWater PurificationBenzopyransFatty Acids, MonounsaturatedQuantitative Structure-Activity RelationshipTetrahydronaphthalenesBenzopyransCosmeticsFatty Acids, MonounsaturatedPerfumeTetrahydronaphthalenesWater Pollutants, Chemical3D-QSAR modelBy-productsChlorinationSynthetic musksToxicityTransformation

Identifiers

PMID34089451

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.