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    战略性矿产浮选药剂分子创智与功能强化研究进展

    Research progress on the innovative molecular design and functional enhancement of flotation reagent for strategic minerals

    • 摘要: 战略性矿产资源在支撑国家能源安全、保障关键产业稳定方面发挥着不可替代的作用。当前,我国面临大宗矿产资源高消耗与新兴矿产资源需求激增的双重挑战,急需提升战略性矿产资源的利用效率与分选精度。浮选作为重要的分离方法,广泛应用于战略性矿产的分离富集,浮选药剂作为调控矿物表面性质的核心手段直接决定了浮选效率与产品质量。围绕“定向、数智、绿色、高效”4个关键特性,系统梳理了战略性矿产浮选药剂在分子创智与功能强化方面的研究进展与未来趋势。在“定向”方面,研究聚焦于药剂与矿物表面之间的界面作用机制。通过单分子力谱技术与分子对接方法,实现药剂在目标矿物表面的精准识别与选择性吸附。在“数智”方面,基于量子化学计算、机器学习等现代技术,构建了药剂结构与性能之间的映射关系,突破传统经验法与试错法的局限,实现药剂的高通量筛选与性能预测,大幅提升研发效率。在“绿色”方面,关注药剂的环境友好性与可持续性,通过分子结构优化、生物质基材料替代以及废弃资源再利用开发绿色捕收剂的研究进展,不仅降低了对环境与人体的毒性风险,也体现了矿产资源开发向绿色低碳转型的发展方向。在“高效”方面,评述了新型多功能药剂在复杂体系中的应用,不仅在选择性、捕收能力方面显著优于传统药剂,兼顾低用量和低成本,显著提升了浮选效率并实现了高经济性。未来浮选药剂的研发应着力于构建多维度数据驱动的设计体系,融合分子模拟、人工智能、绿色合成等先进技术,实现浮选药剂“定向识别−智能预测−绿色合成−高效应用”的闭环。

       

      Abstract: Strategic mineral resources play an irreplaceable role in supporting national energy security and ensuring the stability of key industries. Currently, China faces the dual challenges of high consumption of bulk minerals and a surge in demand for emerging minerals, urgently requiring improvements in the utilization efficiency and separation precision of strategic mineral resources. Flotation, as an important physicochemical separation method, is widely applied in the beneficiation and enrichment of strategic minerals. As the core means of modifying mineral surfaces, flotation reagents directly determine flotation efficiency and product quality. The research progress and future trends of flotation reagents for strategic minerals in terms of molecular design and functional enhancement are systematically reviewed, with a focus on the four key attributes of “targeted, intelligent, green, and efficient.” In the aspect of “targeted”, research concentrates on the interfacial interaction mechanisms between reagents and mineral surfaces. Through single-molecule force spectroscopy and molecular docking methods, precise recognition and selective adsorption of reagents on target mineral surfaces are achieved. In the aspect of “intelligent”, modern technologies such as quantum chemical calculations, machine learning are used to construct the mapping relationship between reagent structure and performance, breaking the limitations of traditional empirical and trial-and-error methods, enabling high-throughput screening and performance prediction, and significantly improving development efficiency. In the aspect of “green”, attention is given to the environmental friendliness and sustainability of reagents, with research progress in developing green collectors through molecular structure optimization, biomass-based material substitution, and resource recycling. This not only reduces toxicity risks to the environment and human health but also reflects the transition of mineral resource development towards green and low-carbon approaches. In the aspect of “efficient”, the application of novel multifunctional reagents in complex systems is reviewed, which significantly outperform traditional reagents in terms of selectivity and collecting ability, while also achieving low dosage and low cost, thus realizing high performance and high economic efficiency in flotation processes. Future research on flotation reagents should focus on building a multi-dimensional data-driven design system, integrating molecular simulation, artificial intelligence, and green technologies to achieve a closed-loop process of “targeted recognition-intelligent prediction-green synthesis-efficient application.”

       

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