ArticleACS omega2026
Construction of an Anion/Nonionic Complex System to Synergistically Promote the Performance of Dust Suppression.
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.
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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.
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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.
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Authors and funding
4 authors.
Funding
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Abstract
To enhance the wettability of bituminous coal dust, the effects of surfactant type and formulation were systematically investigated. Surface morphology characterized by scanning electron microscopy (SEM) and atomic force microscopy (AFM) revealed a rough and heterogeneous granular structure, which impedes effective wetting. Experimental results indicate that wettability improves with increasing surfactant mass fraction up to a critical threshold, beyond which further enhancement becomes negligible; an optimal mass fraction of 0.05% was identified for individual surfactants. Among the tested systems, a composite formulation consisting of SDBS, CTAB, OP-10, and BS-12 exhibited superior stability. In particular, anionic-nonionic surfactant combinations demonstrated pronounced synergistic effects. The SDBS-OP-10 system achieved optimal performance at a mass fraction of 0.05%-0.05%, where both contact angle and surface tension reached their minimum values. Further optimization revealed that an SDBS/OP-10 ratio of 2:4 delivers the best wetting performance, with a maximum wetting work of 28.70 mN m
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Registered trials
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 Socratic graph.