Evidence map›Paper›PMID 42195738›Full record

ArticleMaterials (Basel, Switzerland)2026

Performance Analysis of an Integrated Multi-Stage System for Coffee Industry Wastewater Treatment.

Angelika Skorupa, Małgorzata Worwąg, Mariusz Kowalczyk, Paulina Szuniewicz

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

4 authors.

Angelika SkorupaFaculty of Infrastructure and Environmental, Czestochowa University of Technology, 42-200 Czestochowa, Poland.ORCID 0000-0002-2736-1944
Małgorzata WorwągFaculty of Infrastructure and Environmental, Czestochowa University of Technology, 42-200 Czestochowa, Poland.ORCID 0000-0001-9029-8944
Mariusz KowalczykFaculty of Infrastructure and Environmental, Czestochowa University of Technology, 42-200 Czestochowa, Poland.ORCID 0000-0003-0766-0151
Paulina SzuniewiczFaculty of Infrastructure and Environmental, Czestochowa University of Technology, 42-200 Czestochowa, Poland.ORCID 0009-0009-4173-8742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater generated during the processing of roasted coffee, including instant coffee, remains relatively unknown in the literature. However, it is characterized by a high organic load and the presence of caffeine, phenolic compounds, and melanoidins. Its properties pose significant environmental and technological challenges, limiting the effectiveness of conventional treatment methods. The research aimed to evaluate the effectiveness of an integrated, multi-stage wastewater treatment system that reflects the process of roasted coffee extraction. The developed technological sequence included biological treatment, activated carbon sorption, membrane filtration, and disinfection using ozone and UV radiation. The experiments used synthetic wastewater containing an extract of roasted coffee beans to simulate the contaminants typically found in instant coffee production and the cleaning of processing equipment. The integrated treatment system enabled the removal of total organic carbon (82.4-95.4%), ammonium nitrogen (0-77.4%), and phosphates (0-39.9%), and a reduction in turbidity of 96.3-99.8% at pH 4.02-7.25. The results confirm the system's high efficiency and its potential for treating complex coffee wastewater, while also highlighting the need for further research into the selection of more favorable process parameters.

Indexed as

activated carbonbiological treatmentcoffeedisinfectionmembrane filtrationwastewater treatment

Identifiers

PMID42195738
PMCPMC13208775

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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.