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作 者:徐美蝶 宋华玲 麦智强 祖恩东[1] XU Mei-die;SONG Hua-ing;MAI Zhi-qiang;ZU En-dong(School of Materials Science and Engineering,Kunming University of Science and Technology,Kunming 650093,China;School of Gemsand Art Design,Wuzhou University,Wuzhou 543003,China;Huangpu Customs Technology Center,Guangzhou 510700,China)
机构地区:[1]昆明理工大学材料科学与工程学院,云南昆明650093 [2]梧州学院宝石及艺术设计学院,广西梧州543003 [3]黄埔海关技术中心,广东广州510700
出 处:《软件导刊》2023年第2期127-131,共5页Software Guide
基 金:国家重点研发计划项目(2018YFF0215400)。
摘 要:以中国贵州罗甸、青海、新疆及韩国青色软玉(简称青玉)为主要研究对象,利用近红外光谱测试技术结合化学计量学方法,分析不同产地青玉的近红外光谱特征并选取近红外光谱4 900~7 300cm^(-1)波段的吸收峰,多峰拟合获取峰面积数据,利用SPSS 25.0统计软件处理数据并建立鉴别模型,目的在于探求青玉不同产地快速有效的溯源方法。结果表明:罗甸青玉近红外光谱在5 100cm^(-1)、6 831cm^(-1)位置的吸收与其他产地青玉有明显区别;系统聚类分析法的鉴别效果不理想;主成分分析结合非参数检验方法,建立的鉴别模型存在误差隐患;基于人工神经网络、Fisher判别分析法建模鉴别效果理想,训练集与验证集的判别准确率均达100%,两种方法均能准确对青玉产地进行鉴别,为青玉产地的定性分析提供了一种技术手段。Near-infrared spectroscopy (NIRS) and chemometrics were used for the identification of cyan nephrite from Luodian China,Qing?hai China,Xinjiang China,and South Korea.The absorption peaks of 4 900~7 300 cm^(-1)bands were selected to calculate the peak area by multi-peak fitting method,and then the SPSS 25.0 statistical software was used to process the peak area data,and the identification model was established.The purpose is to explore the traceability method of different origins of cyan nephrite.The results show that the absorption of Luodian cyan nephrite at 5 100 and 6 831 cm^(-1)by NIRS is different from that of other cyan nephrite origins;The effect on the identification of samples are poor through cluster analysis and PCA;Artificial neural network (ANN) and Fisher discriminant analysis are used to model and identify the origin of cyan nephrite with satisfactory results;The average accurate identification ratio of training and verification set through Fisher discrimination is 100%,and so did artificial neural network (ANN).Both methods can accurately identify the origin of cyan nephrite,and provide a technical means for qualitative analysis of cyan nephrite origin.
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