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4篇 您的检索式：作者名="Shuling Kan"

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		题名	作者	年代	出处	被引量
	1	Chemical Synthesis and Characterization of Polyaniline Nanofiber Doped with Gadolinium Chloride显示文摘	Zhang Shuling Kan Suqing Kan Jinqing	2006	Journal of Applied Polymer Science2006，100，：	1
	2	Effect of ethanol on properties of electrochemically synthesized polyaniline显示文摘	Jinqing Kan Rongguan Lv Shuling Zhang	2004	Synthetic Metals2004，，1：	1
	3	显示文摘	Kan Jinqing Zhang Shuling Jing Guolin	2006	J Appl Polym Sci2006，99，：	1
	4	A quality by design (QbD) case study on entericcoated pellets: Screening of critical variables and establishment of design space at laboratory scale显示文摘The study aims to prepare naproxen enteric-coated pellets(NAP-ECPs)by fluid-bed coating using QbD principle.Risk assessment was firstly performed by using failure mode and effect analysis(FMEA)methodology.A PlacketteBurman design was then used for assessment of the most important variables affecting enteric-coated pellets characteristics.A BoxeBehnken design was subsequently used for investigating the main,interactive,and quadratic effects of these variables on the response.By FMEA we discovered that eight factors should be considered to be high/important risk variables as compared with others.The responses of acid resistance and cumulative drug release were taken as critical quality attributes(CQAs).Pareto ranking analyses indicated that the coating weight gain(X_(7)),triethyl citrate percentage(X_(1))and glycerol monostearate percentage(X_(2))were the most significant factors affecting the selected responses out of the eight high-risk variables.Optimization with response surface method(RSM)further fully clarified the relationship between X_(7),X_(1),X_(2) and CQAs,and design space was established based on the constraints set on the responses.Due to the extreme coincidence of the predicted value generated by model with the observed value,the accuracy and robustness of the model were confirmed.It could be concluded that a promising NAP-ECPs was successfully designed using QbD approach in a laboratory scale.	Shuling Kan Jing Lu Jianping Liu Junlin Wang Yi Zhao	2014	Asian Journal of Pharmaceutical Sciences2014，9，5：	1

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