目的:使用新疆富科思生物技术公司-新疆医科大学联合研制的101型光纤药物溶出过程监测仪,原位、实时监测美洛昔康及头孢拉定分散片的溶出曲线,以评价其性能、特点。方法:(1)设定测定波长362 nm、基线校正波长450 nm、温度37℃、转速75 r...目的:使用新疆富科思生物技术公司-新疆医科大学联合研制的101型光纤药物溶出过程监测仪,原位、实时监测美洛昔康及头孢拉定分散片的溶出曲线,以评价其性能、特点。方法:(1)设定测定波长362 nm、基线校正波长450 nm、温度37℃、转速75 r·min^(-1)、数据采集间隔30 s、监测时间20 min,以1000 mL 磷酸盐缓冲液(pH 7.8～8.0)为溶出介质,桨法,用光程为1 cm 的光纤探头监测美洛昔康分散片的溶出曲线;(2)设定测定波长255 nm、基线校正波长450 nm、、温度37℃、转速100 r·min^(-1)、数据采集间隔30 s、监测时间45 min,以900 mL0.1 mol-L^(-1)盐酸溶液为溶出介质,桨法,用光程为2 mm 的光纤探头监测头孢拉定分散片的溶出曲线。结果:美洛昔康及头孢拉定分散片的实时溶出曲线反映出药物分别在前3～5 min 释放很快,美洛昔康分散片20 min 的溶出度>70%,头孢拉定分散片45 min 的溶出度>85%,均符合国家原品标准的规定。结论:101光纤药物溶出过程监测仪原位、实时、连续、定量地反映了美洛昔康及头孢拉定分散片溶出迅速的特性,经自身对照和基线校正,获得的数据信息更加完整、真实、准确,相应软件的使用实现了分散片体外溶出过程监测的自动化、智能化。展开更多
The operation variables,including feed rate of ore slurry,caustic solution and live steams in the double-stream alumina digestion process,determine the product quality,process costs and the environment pollution.Previ...The operation variables,including feed rate of ore slurry,caustic solution and live steams in the double-stream alumina digestion process,determine the product quality,process costs and the environment pollution.Previously,they were set by the technical workers according to the offline analysis results and an empirical formula,which leads to unstable process indices and high consumption frequently.So,a multi-objective optimization model is built to maintain the balance between resource consumptions and process indices by taking technical indices and energy efficiency as objectives,where the key technical indices are predicted based on the digestion kinetics of diaspore.A multi-objective state transition algorithm(MOSTA)is improved to solve the problem,in which a self-adaptive strategy is applied to dynamically adjust the operator factors of the MOSTA and dynamic infeasible threshold is used to handle constraints to enhance searching efficiency and ability of the algorithm.Then a rule based strategy is designed to make the final decision from the Pareto frontiers.The method is integrated into an optimal control system for the industrial digestion process and tested in the actual production.Results show that the proposed method can achieve the technical target while reducing the energy consumption.展开更多
文摘目的:使用新疆富科思生物技术公司-新疆医科大学联合研制的101型光纤药物溶出过程监测仪,原位、实时监测美洛昔康及头孢拉定分散片的溶出曲线,以评价其性能、特点。方法:(1)设定测定波长362 nm、基线校正波长450 nm、温度37℃、转速75 r·min^(-1)、数据采集间隔30 s、监测时间20 min,以1000 mL 磷酸盐缓冲液(pH 7.8～8.0)为溶出介质,桨法,用光程为1 cm 的光纤探头监测美洛昔康分散片的溶出曲线;(2)设定测定波长255 nm、基线校正波长450 nm、、温度37℃、转速100 r·min^(-1)、数据采集间隔30 s、监测时间45 min,以900 mL0.1 mol-L^(-1)盐酸溶液为溶出介质,桨法,用光程为2 mm 的光纤探头监测头孢拉定分散片的溶出曲线。结果:美洛昔康及头孢拉定分散片的实时溶出曲线反映出药物分别在前3～5 min 释放很快,美洛昔康分散片20 min 的溶出度>70%,头孢拉定分散片45 min 的溶出度>85%,均符合国家原品标准的规定。结论:101光纤药物溶出过程监测仪原位、实时、连续、定量地反映了美洛昔康及头孢拉定分散片溶出迅速的特性,经自身对照和基线校正,获得的数据信息更加完整、真实、准确,相应软件的使用实现了分散片体外溶出过程监测的自动化、智能化。
基金Project(62073342)supported by the National Natural Science Foundation of ChinaProject(2014 AA 041803)supported by the Hi-tech Research and Development Program of China。
文摘The operation variables,including feed rate of ore slurry,caustic solution and live steams in the double-stream alumina digestion process,determine the product quality,process costs and the environment pollution.Previously,they were set by the technical workers according to the offline analysis results and an empirical formula,which leads to unstable process indices and high consumption frequently.So,a multi-objective optimization model is built to maintain the balance between resource consumptions and process indices by taking technical indices and energy efficiency as objectives,where the key technical indices are predicted based on the digestion kinetics of diaspore.A multi-objective state transition algorithm(MOSTA)is improved to solve the problem,in which a self-adaptive strategy is applied to dynamically adjust the operator factors of the MOSTA and dynamic infeasible threshold is used to handle constraints to enhance searching efficiency and ability of the algorithm.Then a rule based strategy is designed to make the final decision from the Pareto frontiers.The method is integrated into an optimal control system for the industrial digestion process and tested in the actual production.Results show that the proposed method can achieve the technical target while reducing the energy consumption.
