Research on rapid identification of solid waste properties of imported iron ore based on X-ray diffraction fingerprint technology
LI Ting1, SHEN Wei1, YI Zhiwei1, LIU Shu2, CHEN Chaofang1, WU Feilong1
1. Technical Center of Gongbei Customs,Zhuhai 519015,China; 2. Technical Center for Industrial Product and Raw Material Inspection and Testing of Shanghai Customs District,Shanghai 200135,China
Abstract：Similarity,as a quantitative and qualitative parameter in digital signal science,has been identified as an important evaluation index in the standard of traditional Chinese medicine fingerprint by Chinese Pharmacopoeia Commission.In this article,similarity evaluation is introduced into the research on rapid identification of solid waste properties of imported iron ore.First,X-ray diffraction(XRD) technology is used to establish XRD fingerprint for three groups of imported iron ores,each group consisting of 15 samples,with appearances of yellow(Y),red(R),and dark brown(B).The XRD average reference spectra are calculated and plotted for each group.After extracting the common characteristic peaks,the similarity evaluation is conducted using the correlation coefficient method and the cosine similarity method.The results show that the correlation coefficients between the XRD patterns of each group of 15 iron ore samples and their reference spectra are not less than 0.960 6,and the cosine of angle is not less than 0.980 0.The addition of iron-containing solid waste(such as iron oxide scale,slag,and precipitator dust) can lead to a decrease in similarity,with larger adulteration amounts resulting in greater differences between their XRD fingerprint patterns.This further helps to determine the threshold for solid waste identification,allowing for a direct discrimination of iron ores and iron-containing solid waste and their adulterants from quantitative data.The experimental results indicate that iron ore samples adulterated with 10% iron-containing solid waste can be effectively identified using this method,and it also demonstrates good rapid screening effects in the detection of actual samples.
李烃, 沈维, 易志伟, 刘曙, 陈朝方, 吴飞龙. 基于X射线衍射指纹图谱技术的进口铁矿固废属性快速鉴别探究[J]. 冶金分析, 2024, 44(10): 38-44.
LI Ting, SHEN Wei, YI Zhiwei, LIU Shu, CHEN Chaofang, WU Feilong. Research on rapid identification of solid waste properties of imported iron ore based on X-ray diffraction fingerprint technology. , 2024, 44(10): 38-44.
[1] 解其云,吴小山.X射线衍射进展简介[J].物理,2012,41(11):727-735. XIE Qiyun,WU Xiaoshan.The development of X-ray diffraction[J].Physics,2012,41(11):727-735. [2] Ali A,Chiang Y W,Santos R M.X-ray diffraction techniques for mineral characterization:A review for engineers of the fundamentals,applications,and research directions[J].Minerals,2022,12(2):205. [3] 熊强,丁立新,姜晓燕,等.X射线测定蛋白质结构的技术进展与研究现状[J].癌变·畸变·突变,2019,31(1):82-85. XIONG Qiang,DING Lixin,JIANG Xiaoyan,et al.Research progress of X-ray determination of protein structures[J].Carcinogenesis,Teratogenesis & Mutagenesis,2019,31(1):82-85. [4] 李烃,陈朝方,林国生,等.X射线粉末衍射技术在矿物鉴别中的应用进展[J].冶金分析,2023,43(7):11-20. LI Ting,CHEN Chaofang,LIN Guosheng,et al.Research progress on the application of X-ray powder diffraction technology in mineral identification[J].Metallurgical Analysis,2023,43(7):11-20. [5] 赵伟,封亚辉,戴东情.冶炼钢铁过程中多种固体废物的鉴别[J].冶金分析,2015,35(10):49-53. ZHAO Wei,FENG Yahui,DAI Dongqing.Identification of various solid wastes in the iron and steel smelting process[J].Metallurgical Analysis,2015,35(10):49-53. [6] 梁宗锁,杨东风.中药指纹图谱相似性评价研究进展[J].现代中药研究与实践,2006,20(5):55-59. LIANG Zongsuo,YANG Dongfeng.Research progress in similarity evaluation of traditional Chinese medicine fingerprint[J].Research and Practice of Chinese medicines,2006,20(5):55-59. [7] 黄必胜,明晶,陈科力.X射线衍射指纹图谱在矿物药中的研究进展[J].中南民族大学学报(自然科学版),2015,34(4):45-49. HUANG Bisheng,MING Jing,CHEN Keli.Research progress in X-ray diffraction fingerprint on mineral medicinal materials[J].Journal of South-Central University for Nationalities(Nat.Sci.Edition),2015,34(4):45-49.
