Evidence map›Paper›PMID 30632041›Full record

ArticleEnvironmental science and pollution research international2019

Conversion of organic biomedical waste into value added product using green approach.

Pooja M Patil, Pranjali P Mahamuni, Prem G Shadija, Raghvendra A Bohara

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2019. 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
1.6field-weighted citation impact, top 17% 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, 19 citations in OpenAlex.

  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

4 authors at 2 institutions in 2 countries.

Pooja M PatilCentre for Interdisciplinary Research, D.Y., Patil University, Kolhapur, India.
Pranjali P MahamuniCentre for Interdisciplinary Research, D.Y., Patil University, Kolhapur, India.
Prem G ShadijaDepartment of Microbiology, Dr D.Y.Patil Medical College, D.Y.Patil University, Kolhapur, India.
Raghvendra A BoharaCentre for Interdisciplinary Research, D.Y., Patil University, Kolhapur, India. raghvendrabohara@gmail.com.ORCID http://orcid.org/0000-0001-6654-9627
D.Y. Patil University · INOllscoil na Gaillimhe – University of Galway · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sustainable organic biomedical waste management is a difficult challenge as this has become one of the serious hazardous wastes. Improper disposal of organic biomedical waste can lead to direct and indirect transmission of diseases. In the present research, the organic biomedical waste samples (32 g blood swabs, 12 g dressing swabs, and 6 g used cotton) were treated with Azadirachta indica ("Neem") and Nicotiana tabacum ("Tobacco") extracts at various concentrations and kept for 96-h degradation, followed by evaluation of physicochemical parameters. The physicochemical results of organic biomedical waste like pH of the experimental sets were within the optimum range and there was 63.33% of decrease of TDS, 86.15% and 95.30% reduction of BOD and COD, respectively was observed at the end of 96 h. The residues were mixed with 1000 g soil to confirm their role as a potential fertilizer. The physicochemical parameters of soil sample F

Indexed as

Conservation of Natural ResourcesWaste ProductsAzadirachtaFertilizersMetals, HeavySoilWaste ManagementFertilizersMetals, HeavySoilWaste ProductsAzadirachta indicaBiomedical wasteChemical oxygen demandDissolved oxygenDistilled waterElectric conductivityNicotiana tabacumTotal dissolved solids

Identifiers

PMID30632041
OpenAlexW2908817704

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.