Evidence map›Paper›PMID 37878229›Full record

ArticleInternational microbiology : the official journal of the Spanish Society for Microbiology2024

Paracetamol mineralization strategy in laboratory scale using Aspergillus niger KCAC.

Keerthishree Chandrashekar, Ankita Chatterjee, Maulin P Shah

Abstract read
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In one paragraph

Article in International microbiology : the official journal of the Spanish Society for Microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 54% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Keerthishree ChandrashekarDepartment of Biotechnology, School of Applied Sciences and Technology, REVA University, Bangalore, Karnataka, India.
Ankita ChatterjeeDepartment of Biotechnology, School of Applied Sciences and Technology, REVA University, Bangalore, Karnataka, India. ankitachatterjee16@gmail.com.
Maulin P ShahEnviro Technology Limited, Ankleshwar, Gujarat, India.
REVA University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of drug resistance, caused due the presence of pharmaceutical contaminant in the environment, highlights the critical need for pharmaceutical drugs management. Pharmaceutical drugs are sourced in wastewater as pharmaceutical industrial effluents, antibiotic misuse, and inappropriate disposal of expired pharmaceuticals, eventually ending up in sewage deposition. In this work, we aimed to degrade paracetamol (APAP) through the mycoremediation approach in laboratory scale. The isolated paracetamol degradation fungal strain, identified as Aspergillus niger KCAC efficiently degraded the drug into non-toxic metabolites. The results demonstrated that 99.6% degradation rate was achieved by Aspergillus niger KCAC. Unique, low-cost, eco-friendly bioformulation of the fungal isolate was prepared during the study using used vegetable cooking oil as substrate. The bioformulation showed extended shelf-life and can be used in future for large-scale application. Thus, this detailed investigation on paracetamol biodegradation may be useful in developing a wastewater treatment system effective against paracetamol-contaminated wastewater.

Indexed as

AcetaminophenAspergillus nigerBiodegradation, EnvironmentalWastewaterWater Pollutants, ChemicalAcetaminophenWastewaterWater Pollutants, ChemicalAPAPBioformulationDegradationEco-friendlyPharmaceutical

Identifiers

PMID37878229
OpenAlexW4387930700

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.