Evidence map›Paper›PMID 36615462›Full record

ArticleMolecules (Basel, Switzerland)2022

Efficient Lead Pb(II) Removal with Chemically Modified

Carmencita Lavado-Meza, Leonel De la Cruz-Cerrón, Carmen Lavado-Puente, Julio Angeles-Suazo, Juan Z Dávalos-Prado

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Biosorption of Pb(II) Using Natural and TreatedMolecules (Basel, Switzerland) · 2023
    Article
  5. 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

5 authors.

Carmencita Lavado-MezaFacultad de Ingeniería, Universidad Continental, Huancayo 12003, Peru.
Leonel De la Cruz-CerrónFacultad de Ingeniería, Universidad Continental, Huancayo 12003, Peru.
Carmen Lavado-PuenteEscuela Profesional de Ingeniería Ambiental, Universidad Nacional Intercultural de la Selva Central, Chanchamayo 12856, Peru.
Julio Angeles-SuazoFacultad de Ingeniería Industrial, Universidad Tecnológica del Perú, Lima 15046, Peru.ORCID 0000-0001-8327-9032
Juan Z Dávalos-PradoInstituto de Química Física "Rocasolano", CSIC, 28006 Madrid, Spain.ORCID 0000-0002-5835-6371

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new biosorbent based on Nostoc commune (NC) cyanobacteria, chemically modified with NaOH (NCM), has been prepared, characterized and tested as an effective biomass to remove Pb(II) in aqueous media. The adsorption capacity of NCM was determined to be qe = 384.6 mg g−1. It is higher than several other biosorbents reported in the literature. Structural and morphological characterization were performed by FTIR, SEM/EDX and point zero of charge pH (pHPZC) measurements. NCM biosorbent showed more porous surfaces than those NC with heterogeneous plates including functional adsorption groups such as OH, C = O, COO−, COH or NH. Optimal Pb(II) adsorption occurred at pH 4.5 and 5.5 with a biomass dose of 0.5 g L−1. The experimental data of the adsorption process were well fitted with the Freundlich-isotherm model and pseudo-2nd order kinetics, which indicated that Pb(II) adsorption was a chemisorption process on heterogeneous surfaces of NCM. According to the thermodynamic parameters, this process was exothermic (∆H0 < 0), feasible and spontaneous (∆G0 < 0). NCM can be regenerated and efficiently reused up to 4 times (%D > 92%). NCM was also tested to remove Pb (%R~98%) and Ca (%R~64%) from real wastewater.

Indexed as

Nostoc communeWater Pollutants, ChemicalAdsorptionBiomassHydrogen-Ion ConcentrationKineticsLeadThermodynamicsLeadWater Pollutants, ChemicalbiosorptioncyanobacteriaNostoc communePb(II) removal

Identifiers

PMID36615462
PMCPMC9821834

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Registered trials

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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.