基于马氏距离算法区分玻璃样品的研究
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摘要
目的借助计算机编程来区分玻璃样品。方法利用激光剥蚀电感耦合等离子体质谱(LA-ICP/MS)方法对200种玻璃样品的42种元素浓度进行测定,通过计算机编程对玻璃样品进行区分。结果随机抽取70种玻璃样品通过马氏距离算法进行归类,68组数据正确归类,测试结果的准确率达到97%。结论依据马氏距离算法能够有效区分玻璃样品。
Objective To distinguish glass samples by an automated algorithm. Methods The concentrations of 42-kind elements were analyzed from 200-category tested glass samples with LA-ICP/MS method. Mahalanobis distance was used to establish a computer-operated programming algorithm for distinguishing the glass samples. Results Among the 70-catogery glass samples that were randomly selected from the newly-built sample database to classify by mahalanobis distance algorithm, 68 sets of data were sorted out accurately, revealing the distinguishing accuracy up to 97%. Conclusion Glass samples can be effectively distinguished based on Mahalanobis distance algorithm.
Objective To distinguish glass samples by an automated algorithm. Methods The concentrations of 42-kind elements were analyzed from 200-category tested glass samples with LA-ICP/MS method. Mahalanobis distance was used to establish a computer-operated programming algorithm for distinguishing the glass samples. Results Among the 70-catogery glass samples that were randomly selected from the newly-built sample database to classify by mahalanobis distance algorithm, 68 sets of data were sorted out accurately, revealing the distinguishing accuracy up to 97%. Conclusion Glass samples can be effectively distinguished based on Mahalanobis distance algorithm.
引文
[1]刘伟兵.玻璃中痕量金属元素检测方法研究[J].刑事技术,2012(4):13-14.
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[5]郭洪玲,乔婷,宋小娇,等.电感耦合等离子体质谱在微量物证检验中的应用[J].刑事技术,2016,41(6):470-475.
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[7]TATIANA T,ROBERT K,STEFAN B.Cross-validation and evaluation of the performance of methods for the elemental analysis of forensic glass byμ-XRF,ICP-MS and LA-ICPMS[J].Analytical and Bioanalytical Chemistry,2013,405(16):5393-5409.
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[10]王学仁.实用多元统计分析[M].上海科学技术出版社,1990:41-60.
[2]吴石头,王亚平,许春雪.激光剥蚀电感耦合等离子体质谱元素微区分析标准物质研究进展[J].岩矿测试,2015,34(5):503-511.
[3]王小如.电感耦合等离子体质谱应用实例[M].北京化学工业出版社,2005:146-150.
[4]颜敏,刘园园,贺瑞玲,等.ICP-MS法测定药用玻璃容器中13种元素的浸出量[J].药物分析杂志,2016(1):133-137.
[5]郭洪玲,乔婷,宋小娇,等.电感耦合等离子体质谱在微量物证检验中的应用[J].刑事技术,2016,41(6):470-475.
[6]斯琴毕力格,李青会,干福熹.激光剥蚀-电感耦合等离子体-原子发射光谱/质谱法分析中国古代钾玻璃组分[J].分析化学,2013,41(9):1328-1333.
[7]TATIANA T,ROBERT K,STEFAN B.Cross-validation and evaluation of the performance of methods for the elemental analysis of forensic glass byμ-XRF,ICP-MS and LA-ICPMS[J].Analytical and Bioanalytical Chemistry,2013,405(16):5393-5409.
[8]TREJOS T,ALMIRALL JR.Sampling strategies for the analysis of glass fragments by LA-ICP-MS.Part I:Micro-homogeneity study of glass and its application to the interpretation of forensic evidence[J].Talanta,2005,67(2):388-395.
[9]TREJOS T,ALMIRALL JR.Sampling strategies for the analysis of glass fragments by LA-ICP-MS.Part II:Sample size and sample shape considerations[J].Talanta,2005,67(2):396-401.
[10]王学仁.实用多元统计分析[M].上海科学技术出版社,1990:41-60.