| 中成药质量稳定性的原子吸收光谱鉴别分析 |
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| 引用本文： | 张奇凤,朱隆尹,丁树良,范玫玫,唐峰,吴佩红. 中成药质量稳定性的原子吸收光谱鉴别分析[J]. 广东微量元素科学, 2009, 16(8): 21-31 |
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| 作者姓名： | 张奇凤 朱隆尹 丁树良 范玫玫 唐峰 吴佩红 |
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| 作者单位： | 南昌大学分析测试中心,江西,南昌,330047;赣南师范学院数学与计算机学院,江西,赣州,341000;江西师范大学计算机学院,江西,南昌,330027;中药固体制剂制造技术国家工程研究中心,江西,南昌,330006 |
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| 基金项目： | 江西省科技厅重点项目，，江西省自然科学基金重点项目资助，江西科技厅工业科技重点资助项目 |
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| 摘 要： | 对全国各地用原子吸收光谱仪测定10批次大活络丸中12种无机元素及建立的指纹图谱，尝试用成分数据分析法、向量相似法和模糊聚类法建立全国无机元素的指纹图谱和中药质量控制标准方法，获得较满意的结果。研究表明，建立无机元素指纹图谱控制中成药中无机元素的质量，具有很好的实用性和可操作性，用于全国各地不同厂家生产的大活络丸无机元素的质量控制是切实可行的。
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| 关 键 词： | 原子吸收法 大活络丸 鉴别分析 成分数据分析法 向量相似法 模糊聚类法 |
Discriminant Analysis for Stability of Quality of Chinese Medicine by Atomic Absorption Spectrometry |
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| ZHANG Qifeng,ZHU Longyin,DING Shuliang,FAN Meimei,TANG Feng,WU Peihong. Discriminant Analysis for Stability of Quality of Chinese Medicine by Atomic Absorption Spectrometry[J]. Trace Elements Science, 2009, 16(8): 21-31 |
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| Authors: | ZHANG Qifeng ZHU Longyin DING Shuliang FAN Meimei TANG Feng WU Peihong |
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| Affiliation: | ZHANG Qifeng1,ZHU Longyin2,DING Shuliang3,FAN Meimei4,TANG Feng1,WU Peihong1(1.Center of Analysis and Testing,Nanchang University,Nanchang 330047,China,2.Gannan Normal College,Mathematic and Computer College,Ganzhou 341000,3.Department of Computer,Jiangxi Normal Univesity,Nanchang 330027,4.Center of Chinese Medicines Manufacturing Technology of Solid Preparation of National Engineering Research,Nanchang 330006,China) |
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| Abstract: | There are very rich inorganic elements in the Chinese herbal medicines.Researchers have showed that the multi-inorganic elements are very critical and play very important role in human body.Many inorganic elements in Chinese herbal medicine Da Huo Luo pill have very close relation with the curative effects of chinese herbal medicine.It has satisfied results from the study.In the present study,we first employed 10 batches of Da Huo Luo pill produced by China to screen 12 kinds of inorganic elements measured ... |
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| Keywords: | atomic absorption spectrometry Da Huo Luo pill similarly analysis of vector statistical analysis of compositional data vector similarity method fuzzy clustering |
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