Evidence map›Paper›PMID 35157206›Full record

ArticleEnvironmental science and pollution research international2023

Removal of doxycycline hydrochloride from aqueous solution by rice husk ash using response surface methodology and disposability study.

Gurleenjot Kaur, Neetu Singh, Anita Rajor, Raj Kumar Arya

Open access · bronzeAbstract read
In one paragraph

Article in Environmental science and pollution research international, 2023. 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
1.4field-weighted citation impact, top 22% 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, 18 citations in OpenAlex.

  1. Article
  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 1 country.

Gurleenjot KaurSchool of Energy and Environment, Thapar Institute of Engineering and Technology, Patiala, 147004, India.
Neetu SinghDepartment of Chemical Engineering, Thapar Institute of Engineering and Technology, Patiala, 147004, India. neetu.singh1479@gmail.com.ORCID http://orcid.org/0000-0002-1970-7095
Anita RajorSchool of Energy and Environment, Thapar Institute of Engineering and Technology, Patiala, 147004, India.
Raj Kumar AryaDepartment of Chemical Engineering, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, India.
Thapar Institute of Engineering & Technology · INDr. B. R. Ambedkar National Institute of Technology Jalandhar · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The huge demand and consumption of DOX, its incomplete metabolism, and complex behavior in atmosphere are causing a great ecological issue, which needs to be solved. In the present study, the suitability of rice husk ash (RHA) for the greater sorption efficiency of DOX antibiotic was investigated. Furthermore, disposability study of exhausted RHA was performed using solidification technique and leachate had undergone toxicity test to evaluate the DOX encapsulation ability. The central composite design under RSM was employed for the design of experiment and optimization of adsorption parameters. RHA was characterized using various techniques such as XRD, SEM (EDX), FTIR, BET, and zeta potential analysis. The influence of various adsorption parameters, like initial DOX concentration (C

Indexed as

OryzaWater Pollutants, ChemicalAdsorptionAnti-Bacterial AgentsDoxycyclineHydrogen-Ion ConcentrationKineticsAnti-Bacterial AgentsDoxycyclineWater Pollutants, ChemicalAdsorption isothermsDiffusivity studiesDoxycycline hydrochlorideRice husk AshSolidification and stabilization

Identifiers

PMID35157206
PMCPMC8853133
OpenAlexW4212942464

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.