Evidence map›Paper›PMID 42889564›Full record

ArticleACS omega2026

Optimization of Coagulation-Flocculation with Aluminum Sulfate for the Treatment of Chemical Industry Effluent.

Sabrina G Juchem, Suyanne A L Bachmann, Fellipe F S Farias

Abstract read
In one paragraph

Article in ACS omega, 2026. 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
–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

0 citing papers in PubMed.

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.

Sabrina G JuchemFederal Institute of Education Science and Technology of Rio Grande do Sul (IFRS), Feliz Campus, Feliz 95770-000, RS, Brazil.
Suyanne A L BachmannFederal Institute of Education Science and Technology of Rio Grande do Sul (IFRS), Feliz Campus, Feliz 95770-000, RS, Brazil.ORCID https://orcid.org/0000-0002-1806-9407
Fellipe F S FariasFederal Institute of Education Science and Technology of Rio Grande do Sul (IFRS), Feliz Campus, Feliz 95770-000, RS, Brazil.ORCID https://orcid.org/0000-0002-2955-9786

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Industrial activities require large volumes of water for production processes and for washing equipment, containers, and facilities, generating effluents whose physicochemical characteristics often prevent their direct discharge into receiving water bodies. The treatment and management of industrial wastewater are therefore essential to comply with regulatory standards and minimize environmental impacts. In this context, this study presents a treatability assessment of industrial effluent generated by a chemical products industry employing industrial water treatment located in the Caí Valley region (Rio Grande do Sul, Brazil). The objective was to characterize raw and treated effluents and to propose an efficient treatment strategy based on laboratory-scale evaluations. The methodology included production process mapping, physicochemical characterization of raw effluent, coagulation-flocculation experiments using a Jar-Test under different pH conditions and coagulant dosages, and characterization of the treated effluent under optimized operating conditions. The raw effluent exhibited several parameters above regulatory discharge limits, including pH, phosphorus, turbidity, and iron. Considering regulatory requirements and cost-effectiveness aspects, the optimal treatment conditions consisted of 55 mg/L of 50% aluminum sulfate at an initial pH between 8.0 and 9.0. Under these conditions, significant reductions were observed for several parameters, particularly total alkalinity (85.85%), hardness (85.00%), phosphorus (74.51%), and turbidity (69.03%). Overall, the study demonstrates how specific effluent treatability assessments can support the development of optimized physicochemical treatment configurations, contributing to regulatory compliance and reliable industrial wastewater management.

Identifiers

PMID42889564
PMCPMC13670290

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.