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Article Abstract

To overcome the limitations of conventional water-based dust suppression in arid, high-temperature open-pit coal mine haul roads, this study developed an innovative molasses-based dust suppressant with enhanced water retention and consolidation capabilities. The formulation leverages molasses-a sugar industry byproduct with inherent anti-evaporation properties-as its core component, supplemented with surfactant (sodium dodecyl benzene sulfonate, SDBS), humectant (glycerol), and hygroscopic (calcium chloride, CaCl₂) additives. Employing response surface methodology (RSM), the optimal composition was determined to be: 31.06% molasses, 0.73 g/L SDBS, 1.68% glycerol, and 1.50% CaCl. Experimental validation confirmed the model's reliability, showing < 3% deviation between predicted and actual performance metrics. Field evaluation produced significant results: small-scale testing with 2.5-ton and 4.4-ton mine vehicles maintained dust-free conditions for three consecutive days, while medium-scale trials with loaded (550-ton) and unloaded (225-ton) haul trucks achieved effective dust control for over 6 h. The suppressant creates a durable, homogeneous consolidation layer with substantial mechanical strength when applied. The suppression mechanism combines immediate dust wetting with prolonged suppression via dust particle solidification post water evaporates.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12271373PMC
http://dx.doi.org/10.1038/s41598-025-11965-0DOI Listing

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To overcome the limitations of conventional water-based dust suppression in arid, high-temperature open-pit coal mine haul roads, this study developed an innovative molasses-based dust suppressant with enhanced water retention and consolidation capabilities. The formulation leverages molasses-a sugar industry byproduct with inherent anti-evaporation properties-as its core component, supplemented with surfactant (sodium dodecyl benzene sulfonate, SDBS), humectant (glycerol), and hygroscopic (calcium chloride, CaCl₂) additives. Employing response surface methodology (RSM), the optimal composition was determined to be: 31.

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