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Asbestos

2000· other· en· W4236734909 on OpenAlexaboutno aff
Carmel R. Jolicoeur, Jean‐François Alary, Asta Sokov

Bibliographic record

VenueKirk-Othmer Encyclopedia of Chemical Technology · 2000
Typeother
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsnot available
Fundersnot available
KeywordsTremoliteChrysotileAsbestosAmphiboleActinoliteMineralChemistryMineralogyTalcUltimate tensile strengthPolymer scienceComposite materialMaterials scienceChloriteOrganic chemistry

Abstract

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Abstract The term asbestos is a generic designation referring usually to six types of naturally occurring mineral fibers which are or have been commercially exploited. These fibers are extracted from certain varieties of hydrated alkaline silicate minerals comprising two families: serpentines and amphiboles. The serpentine group contains a single fibrous variety: chrysotile; five fibrous forms of amphiboles are known: anthophyllite, amosite, crocidolite, tremolite, and actinolite. These fibrous minerals share several properties which qualify them as asbestiform fibers: they are found in large clusters which can be easily separated from the host matrix or cleaved into thinner fibers; the fibers exhibit high tensile strengths; they show high length:diameter ratios, from a minimum of 20 up to \documentclass{article}\usepackage{amssymb}\pagestyle{empty}\begin{document}${>{\hskip-0.167em}{\hskip-0.167em}1000}$\end{document} ; they are sufficiently flexible to be spun; and macroscopically, they resemble organic fibers such as cellulose. Since asbestos fibers are all silicates, they exhibit several other common properties, such as incombustibility, thermal stability, resistance to biodegradation, chemical inertia toward most chemicals, and low electrical conductivity. The usual definition of asbestos fiber excludes numerous other fibrous minerals which could be qualified as asbestiform following the criteria listed above. The term asbestos has traditionally been attributed only to those varieties which are commercially exploited. The industrial applications of asbestos fibers have now shifted almost exclusively to chrysotile. Two types of amphiboles, commonly designated as amosite and crocidolite are still being used, but their combined production is currently less than 2% of the total world production. The other three amphibole varieties, anthophyllite, actinolite, and tremolite, have no significant industrial applications presently. The microscopic and macroscopic properties of asbestos fibers stem from their intrinsic, and sometimes unique, crystalline features. As with all silicate minerals, the basic building blocks of asbestos fibers are the silicate tetrahedra which may occur as double chains \documentclass{article}\usepackage{amssymb}\pagestyle{empty}\begin{document}${{(}{\rm{SiO}}{)}^{6-}114}$\end{document} , as in the amphiboles, or in sheets \documentclass{article}\usepackage{amssymb}\pagestyle{empty}\begin{document}${{(}{\rm{SiO}}{)}^{4-}104}$\end{document} , as in chrysotile. In the case of chrysotile, an octahedral brucite layer having the formula \documentclass{article}\usepackage{amssymb}\pagestyle{empty}\begin{document}${{(}{\rm{MgO}}{_{4}}{(}{\rm{OH}}{)}_{8}{)}^{4-}6}$\end{document} is intercalated between each silicate tetrahedra sheet. The crystalline structure common to amphibole minerals consists of two ribbons of silicate tetrahedra placed back to back. Asbestos fibers used in most industrial applications consist of aggregates of smaller units (fibrils). This is most evident with chrysotile which exhibits an inherent, well‐defined unit fiber. For industrial applications, the fiber length and length distribution are of primary importance because they are closely related to the performance of the fibers in matrix reinforcement. In a general way, the identification of asbestos fibers can be performed through morphological examination, together with specific analytical methods to obtain the mineral composition and/or structure. Morphological characterization in itself usually does not constitute a reliable identification criterion. Hence, microscopic examination methods and other analytical approaches are usually combined. Most of the asbestos mining operations are of the open pit type, using bench drilling techniques. The fiber extraction (milling) process must be chosen so as to optimize recovery of the fibers in the ore, while minimizing reduction of fiber length. Dry milling operations are the most widely used. In the production, or industrial applications, of asbestos fibers, several parameters are considered critically important. The measurement of fiber length is important since the length determines the product category in which the fibers will be used and, to a large extent, their commercial value. The most widely accepted method for chrysotile fiber length characterization in the industry is the Quebec Standard test (QS). A second industrially important fiber‐length evaluation technique is the Bauer‐McNett (BMN) classification. Asbestos fibers historically have been used in a broad variety of industrial applications. Because of recent restrictions, many of these applications have now been abandoned and others are pursued under strictly regulated conditions. The main characteristic properties of asbestos fibers that can be exploited in industrial applications are their thermal, electrical, and sound insulation; nonflammability; matrix reinforcement (cement, plastic, and resins); adsorption capacity (filtration, liquid sterilization); wear and friction properties (friction materials); and chemical inertia (except in acids). These properties have led to several main classes of industrial products or applications: fire protection and heat or sound insulation, fabrication of papers and felts for flooring and roofing products, pipeline wrapping, electrical insulation, thermal and electrical insulation, friction products in brake or clutch pads, asbestos–cement products, reinforcement of plastics, fabrication of packings and gaskets, friction materials for brake linings and pads, reinforcing agents, vinyl or asphalt tiles, and asphalt road surfacing. The relationship between workplace exposure to airborne asbestos fibers and respiratory diseases is one of the most widely studied subjects of modern epidemiology. The research efforts resulted in significant consensus in some areas, although strong controversies remain in other areas. Typically, it is widely recognized that the inhalation of long (considered usually as \documentclass{article}\usepackage{amssymb}\pagestyle{empty}\begin{document}${>{\hskip-0.167em}{\hskip-0.167em}5{\hskip0.167em}{\hskip0.167em}{\mu}{\rm{m}}}$\end{document} ), thin, and durable fibers can induce or promote lung cancer. It is also widely accepted that asbestos fibers can be associated with three types of diseases: asbestosis, lung cancer, mesothelioma. A further consensus developed within the scientific community regarding the relative carcinogenicity of the different types of asbestos fibers. There is strong evidence that the genotoxic and carcinogenic potentials of asbestos fibers are not identical; in particular, mesothelial cancer is mostly associated with amphibole fibers. The identification of health risks associated with asbestos fibers, has prompted strict regulations to limit the maximum exposure of air‐borne fibers in workplace environments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.114
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.234
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2000
Admission routes1
Has abstractyes

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