Evidence map›Paper›PMID 37672162›Full record

ArticleApplied biochemistry and biotechnology2024

Degradation of Emerging Pharmaceutical Pollutants from Wastewater Using Penicillium aurantiogriseum 2AJS.

Anushree Suresh, Jayanthi Abraham

Abstract read
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In one paragraph

Article in Applied biochemistry and biotechnology, 2024. 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
0.5field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  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

2 authors at 1 institution in 1 country.

Anushree SureshMicrobial Biotechnology Laboratory, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.ORCID http://orcid.org/0000-0001-7878-435X
Jayanthi AbrahamMicrobial Biotechnology Laboratory, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India. jayanthi.abraham@gmail.com.ORCID http://orcid.org/0000-0001-5005-3088
Vellore Institute of Technology University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Approximately 3000 pharmaceutical compounds and personal care products (PPCPs) are utilized and discharged into the wastewater at low levels, and they are rarely removed or treated in wastewater treatment facilities. The present study focused on the potential ability of Penicillium aurantiogriseum 2AJS to degrade pharmaceutical and personal care products of different classes of drugs: antipyretic and analgesic drugs (paracetamol, diclofenac, and ibuprofen) and hormones (estrogen, progesterone, and testosterone). Various ligninolytic extracellular enzymatic studies were also studied. A phytotoxicity assay was performed using the Lemna minor species procured from the Vellore Institute of Technology, Vellore. The results revealed degradation of pharmaceutical and personal care products to 95.27% (paracetamol), 94.37% (diclofenac), 89.29% (ibuprofen), 94.16% (progesterone), 91.10% (estrogen), and 82.12% (testosterone). GC-MS and NMR analyses aided in proposing the degradation pathway of all six pharmaceutical compounds. Degradation kinetics showed a first-order model for all the degradation studies with R

Indexed as

Biodegradation, EnvironmentalPenicilliumWastewaterWater Pollutants, ChemicalAraceaeDiclofenacIbuprofenKineticsPharmaceutical PreparationsDiclofenacIbuprofenPharmaceutical PreparationsWastewaterWater Pollutants, ChemicalDiclofenacKineticsLigninolytic enzymesParacetamolTestosterone

Identifiers

PMID37672162
OpenAlexW4386467502

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.