东北大学学报:自然科学版 ›› 2016, Vol. 37 ›› Issue (8): 1198-1202.DOI: 10.12068/j.issn.1005-3026.2016.08.027

• 资源与土木工程 • 上一篇    下一篇

羟肟酸浮选分离选择性的定量构效关系

谭鑫1, 尚衍波2 , 何发钰3, 刘龙利2   

  1. (1. 东北大学 资源与土木工程学院, 辽宁 沈阳110819; 2. 北京矿冶研究总院 矿物加工科学与技术国家重点实验室, 北京102628; 3. 中国五矿集团总公司, 北京100010)
  • 收稿日期:2015-08-31 修回日期:2015-08-31 出版日期:2016-08-15 发布日期:2016-08-12
  • 通讯作者: 谭鑫
  • 作者简介:谭鑫(1986-),男,湖南长沙人,东北大学博士研究生; 何发钰(1968-),男,江西赣州人,东北大学教授.
  • 基金资助:
    国家高技术研究发展计划项目 (2013AA064102) .

QSAR Research on Flotation Selectivity of Hydroximic Acid Collectors

TAN Xin1, SHANG Yan-bo2, HE Fa-yu3, LIU Long-li2   

  1. 1. School of Resources & Civil Engineering,Northeastern University, Shenyang 110819, China; 2. State Key Laboratory of Mineral Processing, Beijing General Research Institute of Mining & Metallurgy, Beijing 102628, China; 3. China Minmetals Corporation, Beijing 100010, China.
  • Received:2015-08-31 Revised:2015-08-31 Online:2016-08-15 Published:2016-08-12
  • Contact: TAN Xin
  • About author:-
  • Supported by:
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摘要: 采用定量构效关系方法和遗传算法对13种芳烷基羟肟酸类捕收剂的锡石-萤石浮选分离选择性指数进行了定量构效关系研究,旨在预测羟肟酸捕收剂对锡石-萤石浮选分离的选择性能.采用快速分子描述符和量子化学描述符建立了两种选择性指数的二元因子模型,选择性指数1的模型5和选择性指数2的模型6的相关系数R2分别为 0.868和0.796,R2cv 分别为0.779和0.590.使用留一法对两模型进行内部验证的相关系数 R2分别为 0.785和 0.615,使用测试集对两模型进行外部验证,所得两模型的平均预测绝对误差分别为0.095和 1.939.指数1模型具有真实有效性和较好的预测能力,能够有效预测羟肟酸的选择性.

关键词: 定量构效关系, 羟肟酸捕收剂, 遗传算法, 选择性, 描述符

Abstract: Quantitative structure-activity relationships (QSAR) of 13 kinds of hydroximic acid collectors were studied to predict the flotation selectivity of cassiterite flotation separation based on genetic algorithm. Using fast descriptor and quantum chemical descriptor, two kinds of two-parameter models were developed, i.e., Model 5 for selectivity index 1 and Model 6 for selectivity index 2. The correlative coefficients of Model 5 and Model 6 were 0.868 and 0.796, with R2cv of 0.779 and 0.590, respectively. For the two models, internal reliability was validated using the leave-one-out approach, with R2 =0.785 for Model 5 and R2 =0.615 for Model 6, and an external validation was also performed using test sets and the mean absolute deviations were 0.137 and 1.939, respectively. The results show that Model 5 for selectivity index 1 has better predictability, and can effectively predict flotation selectivity of hydroximic acid collectors.

Key words: QSAR, hydroximic acid collector, genetic algorithm, selectivity, descriptor

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