Evidence map›Paper›PMID 29808400›Full record

ArticleEnvironmental science and pollution research international2018

Bacteria enhanced lignocellulosic activated carbon for biofiltration of bisphenols in water.

Hemen Sarma, Wen-Yee Lee

Open access · bronzeAbstract readEditorial
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

2 authors at 1 institution in 2 countries.

Hemen SarmaDepartment of Botany, N.N. Saikia College, Titabar, Assam, 785630, India. hemens02@yahoo.co.in.ORCID http://orcid.org/0000-0001-6947-0551
Wen-Yee LeeDepartment of Chemistry and Biochemistry, University of Texas at El Paso, 500 W. University Ave, El Paso, TX, 79968, USA.
The University of Texas at El Paso · US

Funding

Department of Biotechnology , Ministry of Science and Technology BT/20/NE/2011
6 · The paper itself

Abstract

There are eight bisphenol analogues being identified and characterized; among them, bisphenol A (BPA) is on the priority list on the basis of its higher level of uses, occurrence, and toxicity. The endocrine system interfered by BPA has been inventoried as it has the same function as the natural hormone 17β-estradiol and binds mainly to the estrogen receptor (ER) to exhibit estrogenic activities. The BPA concentration in surface waters (14-1390 ng/L) in many parts of the world, such as Japan, Korea, China, and India, was also a significant concern. Research efforts are focusing on restricting BPA consumption as well as removing BPA in our environment especially in drinking water. Current opinion is that lignocellulosic activated carbon stimulated with BPA-degrading bacteria could have the potential to provide solution for recent challenges faced by water utilities arising from BPA contamination in water. This technology has some new trends in the low-cost biofiltration process for removing BPA. This review is to provide in-depth discussion on the fate of BPA in our ecosystem and underlines methods to enhance the efficacy of activated carbon in the presence of BPA-degrading bacteria in the biofiltration process.

Indexed as

BacteriaBenzhydryl CompoundsBisphenol A CompoundsCharcoalChinaEstradiolIndiaJapanPhenolsReceptors, EstrogenRepublic of KoreaBenzhydryl Compoundsbisphenol ABisphenol A CompoundsCharcoalEstradiolPhenolsReceptors, Estrogen

Identifiers

PMID29808400
OpenAlexW2806274406

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.