Efficient Management of Asbestos Waste Through Utilization as Mineral Additives in Portland Cement Production.

Karol Durczak, Michał Pyzalski, Agnieszka Sujak, Michał Juszczyk, Dariusz Sala, Leonas Ustinovichius

Abstract read

In one paragraph

Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Behavior of Drinking Water Distribution Pipes Made of HDPE, AC, OLT 37, and OL37.1 in Contact with Water.Polymers · 2026
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

6 authors.

Karol DurczakDepartment of Biosystems Engineering, Faculty of Environmental and Mechanical Engineering, Poznan University of Life Sciences, Wojska Polskiego 50, 60-627 Poznan, Poland.ORCID 0000-0003-4811-005X

Michał PyzalskiFaculty of Materials Science and Ceramics, AGH University of Krakow, Al. Mickiewicza 30, 30-059 Krakow, Poland.ORCID 0000-0002-3350-9378

Agnieszka SujakDepartment of Biosystems Engineering, Faculty of Environmental and Mechanical Engineering, Poznan University of Life Sciences, Wojska Polskiego 50, 60-627 Poznan, Poland.ORCID 0000-0001-5616-3827

Michał JuszczykFaculty of Civil Engineering, Cracow University of Technology, 31-155 Cracow, Poland.ORCID 0000-0002-8353-9823

Dariusz SalaDepartment of Enterprise Management, AGH University of Krakow, Al. Mickiewicza 30, 30-059 Krakow, Poland.ORCID 0000-0003-1246-2045

Leonas UstinovichiusInstitute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, 10223 Vilnius, Lithuania.ORCID 0000-0002-0027-5501

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents research on the effectiveness of utilizing asbestos waste, particularly chrysotile asbestos, in the production of Portland cement. The study aimed to evaluate the feasibility of transforming asbestos cement (Eternit) through thermal treatment and its enrichment with mineral additives, enabling its integration into the clinker synthesis process. Differences in the physicochemical properties of types of cement produced from conventional raw materials and those manufactured using asbestos waste were analyzed. The research findings indicate that the presence of asbestos in cementitious materials leads to a significant mass loss of 29.4% due to thermal decomposition. Chemical analysis revealed the presence of aluminum oxide (Al

Indexed as

asbestosenvironmental protectionhealth safetyneutralization methodsrecyclingsupplementary cementitious materialssustainable developmentsynthesis and preparationwaste utilization

Identifiers

PMID39685228

DOI10.3390/ma17235793

PMCPMC11642541

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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.