[1] Du L, Xu H, Zuo J. Status quo of illegal dumping research: way forward [J]. Journal of Environmental Management, 2021,290:112601.
[2] Ma D, Gulani V, Seiberlich N, et al. Magnetic resonance fingerprinting [J]. Nature, 2013,495(7440):187-192.
[3] Wu S, Zhang X, Zhou G, et al. Physical fingerprint transformation of herbal medicines powders using near-infrared spectroscopy [J]. Advanced Powder Technology, 2023,34(12):104244.
[4] Wang F, Gao Y, Wang H, et al. Analysis of volatile compounds and flavor fingerprint in Jingyuan lamb of different ages using gas chromatography-ion mobility spectrometry (GC-IMS) [J]. Meat Science, 2021,175:108449.
[5] Lazar P, Mach R, Otyepka M. Spectroscopic fingerprints of graphitic, pyrrolic, pyridinic, and chemisorbed nitrogen in N-doped graphene [J]. Journal of Physical Chemistry C, 2019,123(16):10695-10702.
[6] Van Caneghem J, Vandecasteele C. Characterisation of polycyclic aromatic hydrocarbons in flue gas and residues of a full scale fluidized bed combustor combusting non-hazardous industrial waste [J]. Waste Management, 2014,34(11):2407-2413.
[7] US Ecology Nevada. Waste analysis plan [R]. Nevada: US Ecology Nevada, 2022.
[8] 杨金忠,杨玉飞,王菲,等.一种基于统计熵的固废指纹特征提取方法:中国, CN116089825A [P]. 2023-05-09. Yang J Z, Yang Y F, Wang F, et al. A solid waste fingerprint feature extraction method based on statistical entropy: China, CN116089825A [P]. 2023-05-09.
[9] 林乐,刘学明,梁彦杰,等.数据科学与化学交叉视域下的重金属危废物相分析[J].化学进展, 2021,33(12):2163-2172. Lin L, Liu X M, Liang Y J, et al. Phase analysis of heavy metal hazardous waste from the perspective of data science and chemistry [J]. Progress in Chemistry, 2021,33(12):2163-2172.
[10] Qiao J, Zhang H, Steier P, et al. An unknown source of reactor radionuclides in the baltic sea revealed by multi-isotope fingerprints [J]. Nature Communications, 2021,12(1):823.
[11] Thapa K, Vermeulen W J, Deutz P, et al. Transboundary movement of waste review: from binary towards a contextual framing [J]. Waste Management & Research: The Journal for a Sustainable Circular Economy, 2023,41(1):52-67.
[12] Chen C. CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature [J]. Journal of The American Society for Information Science and Technology, 2006,57(3):359-377.
[13] Fu L, Mao S, Chen F, et al. Graphene-based electrochemical sensors for antibiotic detection in water, food and soil: a scientometric analysis in CiteSpace (2011~2021) [J]. Chemosphere, 2022,297:134127.
[14] 白钢,田璐,丛龙飞,等.基于质量标志物(Q-Marker)“量效转换”的药材质量快速整合评价研究[J].中草药, 2021,52(9):2527-2533. Bai G, Tian L, Cong L F, et al. Rapid integrated quality evaluation of medicinal materials based on "dose-effect conversion" of quality marker (Q-Marker) [J]. Chinese Traditional and Herbal Drugs, 2021, 52(9):2527-2533.
[15] 白钢,刘昌孝,张铁军,等.基于质量综合评价指数的药材品质快速评价[J].中草药, 2021,52(2):313-320. Bai, G., Liu, C. X., Zhang, T. J., et al. Rapid evaluation of medicinal material quality based on comprehensive quality evaluation index [J]. Chinese Traditional and Herbal Drugs, 2021,52(2):313-320.
[16] Zhang J, Yu X, Yang R, et al. Quality evaluation of lonicerae japonicae flos from different origins based on high‐performance liquid chromatography (HPLC) fingerprinting and multicomponent quantitative analysis combined with chemical pattern recognition [J]. Phytochemical Analysis, 2024,35(4):647-663.
[17] 赵曦,陆克定,熊波文,等.华南四座固体废物综合处理产业园周边土壤重金属研究[J].中国环境科学, 2021,41(3):1282-1292. Zhao X, Lu K D, Xiong B W, et al. Soil heavy metals around four solid waste comprehensive treatment industrial parks in South China [J]. China Environmental Science, 2021,41(3):1282-1292.
[18] Ma W, Tai L, Qiao Z, et al. Contamination source apportionment and health risk assessment of heavy metals in soil around municipal solid waste incinerator: a case study in north China [J]. Science of the Total Environment, 2018,631-632:348-357.
[19] Cereto-Massagué A, Ojeda M J, Valls C, et al. Molecular fingerprint similarity search in virtual screening [J]. Methods, 2015,71:58-63.
[20] Kearnes S, McCloskey K, Berndl M, et al. Molecular graph convolutions: moving beyond fingerprints [J]. Journal of Computer- Aided Molecular Design, 2016,30(8):595-608.
[21] Yang J, Die Q, Tian L, et al. Similarity model by matching and cross entropy-driven methods to support tracing source of unknown waste [J]. Environmental Technology & Innovation, 2023,32:103327.
[22] Chen C C, Sen P K, Wu K. Robust permutation tests for homogeneity of fingerprint patterns of dioxin congener profiles [J]. Environmetrics, 2012,23(4):285-294.
[23] Van Caneghem J, Vermeulen I, Block C, et al. Destruction and formation of PCDD/fs in a fluidised bed combustor co-incinerating automotive shredder residue with refuse derived fuel and wastewater treatment sludge [J]. Journal of Hazardous Materials, 2012,207-208: 152-158.
[24] Ying Y, Ma Y, Wang X, et al. Incineration-source fingerprints and emission spectrums of dioxins with diagnostic application [J]. Environment International, 2024,188:108746.
[25] Lu S, Du Y, Yan J H, et al. Dioxins and their fingerprint in size- classified fly ash fractions from municipal solid waste incinerators in China—mechanical grate and fluidized bed units [J]. Journal of the Air and Waste Management Association, 2012,62(6):717-724.
[26] Fan Y, Ren M, Zhang H, et al. Levels and fingerprints of chlorinated aromatic hydrocarbons in fly ashes from the typical industrial thermal processes: implication for the co-formation mechanism [J]. Chemosphere, 2019,224:298-305.
[27] Li W, Li L, Wen Z, et al. Removal of dioxins from municipal solid waste incineration fly ash by low-temperature thermal treatment: laboratory simulation of degradation and ash discharge stages [J]. Waste Management, 2023,168:45-53.
[28] Sun J, Hu J, Zhu G, et al. PCDD/fs distribution characteristics and health risk assessment in fly ash discharged from MSWIs in China [J]. Ecotoxicology and Environmental Safety, 2017,139:83-88.
[29] Chang Y M, Fan W P, Dai W C, et al. Characteristics of PCDD/F content in fly ash discharged from municipal solid waste incinerators [J]. Journal of Hazardous Materials, 2011,192(2):521-529.
[30] Qiu J J, Lü F, Zhang H, et al. UPLC orbitrap MS/MS-based fingerprints of dissolved organic matter in waste leachate driven by waste age [J]. Journal of Hazardous Materials, 2020,383:121205.
[31] Melita M, Amalfitano S, Preziosi E, et al. Physiological profiling and functional diversity of groundwater microbial communities in a municipal solid waste landfill area [J]. Water, 2019,11(12):2624.
[32] Fang J, Lü F, Zhang H, et al. Odor compounds released from different zones of two adjacent waste treatment facilities: interactive influence and source identification [J]. Journal of the Air and Waste Management Association, 2015,65(12):1446-1455.
[33] Bordean D M, Pirvulescu L, Poiana M A, et al. An innovative approach to assess the ecotoxicological risks of soil exposed to solid waste [J]. Sustainability, 2021,13(11):6141.
[34] Van Der Sloot H A, Kosson D S, Van Zomeren A. Leaching, geochemical modelling and field verification of a municipal solid waste and a predominantly non-degradable waste landfill [J]. Waste Management, 2017,63:74-95.
[35] Coutinho M, Albuquerque M, Silva A P, et al. Long-time monitoring of polychlorinated dibenzo-p-dioxins and dibenzofurans over a decade in the ambient air of porto, Portugal [J]. Chemosphere, 2015,137:207-213.
[36] Gros M, Catalán N, Mas-Pla J, et al. Groundwater antibiotic pollution and its relationship with dissolved organic matter: identification and environmental implications [J]. Environmental Pollution, 2021,289: 117927.
[37] Lega M, Ferrara C, Persechino G, et al. Remote sensing in environmental police investigations: aerial platforms and an innovative application of thermography to detect several illegal activities [J]. Environmental Monitoring and Assessment, 2014,186(12):8291-8301.
[38] Ngo T H, Tsou H H, Chen Y F, et al. Sources identification of PCDD/ fs in soil and atmospheric deposition in Taiwan [J]. Chemosphere, 2018,208:374-381.
[39] Thiombane M, Albanese S, Di Bonito M, et al. Source patterns and contamination level of polycyclic aromatic hydrocarbons (PAHs) in urban and rural areas of southern italian soils [J]. Environmental Geochemistry and Health, 2019,41(2):507-528.
[40] Li X, Yang Y, Die Q, et al. Characteristics of solid waste from common generation source in nonferrous smelting industry reveal a new classification method [J]. Heliyon, 2023,9(10):e20545.
[41] 黄文博,李金惠,曾现来.固体废物无害化精准定量评估及科学启示:以典型工业废物为例[J].科学通报, 2022,67(7):685-696. Huang W B, Li J H, Zeng X L. Precise quantitative assessment and scientific implications of solid waste harmless treatment: A case study of typical industrial waste [J]. Chinese Science Bulletin, 2022,67(7): 685-696.
[42] 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 T, Chen C F, Lin G S, et al. Application progress of X-ray powder diffraction in mineral identification [J]. Metallurgical Analysis, 2023, 43(7):11-20.
[43] 崔晓慧,陈龙,刘义梅,等.基于X射线衍射指纹图谱鉴别龙骨[J].中成药, 2016,38(3):624-629. Cui X H, Chen L, Liu Y M, et al. Identification of Os Draconis based on X-ray diffraction fingerprint [J]. Chinese Traditional Patent Medicine, 2016,38(3):624-629.
[44] 徐思琪,王雪娇,陈平,等.我国铝冶炼企业固体废物的指纹特征及毒性[J].环境科学研究, 2021,34(9):2248-2255. Xu S Q, Wang X J, Chen P, et al. Fingerprint characteristics and toxicity of solid waste from aluminum smelting enterprises in China [J]. Research of Environmental Sciences, 2021,34(9):2248-2255.
[45] 黄瑞潇,杨玉飞,李海涛,等.黄河流域典型固体废物的指纹特征识别[J].环境科学研究, 2024,37(8):1810-1818. Huang R X, Yang Y F, Li H T, et al. Fingerprint identification of typical solid waste in the Yellow River Basin [J]. Research of Environmental Sciences, 2024,37(8):1810-1818.
[46] 孙琳.基于XRF技术对常用矿物药的鉴别研究[D].成都:成都中医药大学, 2018. Sun L. Identification of common mineral medicines based on XRF technology [D]. Chengdu: Chengdu University of Traditional Chinese Medicine, 2018.
[47] 李龙,王世芳,冯淼,等.X射线荧光光谱技术在粮食矿质元素检测和产地溯源中的应用[J].农产品加工, 2022,(21):79-82,87. Li L, Wang S F, Feng M, et al. Application of X-ray fluorescence spectroscopy in detection of mineral elements and geographical origin traceability of grains [J]. Farm Products Processing, 2022,(21):79- 82,87.
[48] 钟奇秀,赵天卓,李欣,等.多元素LIBS分析的标准化交叉验证及其优化[J].光谱学与光谱分析, 2020,40(2):622-627. Zhong Q X, Zhao T Z, Li X, et al. Standardized cross-validation and optimization of multi-element LIBS analysis [J]. Spectroscopy and Spectral Analysis, 2020,40(2):622-627.
[49] 刘晓娜,史新元,贾帅芸,等.基于LIBS技术对4种珍宝藏药快速多元素分析[J].中国中药杂志, 2015,40(11):2239-2243. Liu X N, Shi X Y, Jia S Y, et al. Rapid multi-element analysis of four Tibetan precious herbal medicines based on LIBS technology [J]. China Journal of Chinese Materia Medica, 2015,40(11):2239-2243.
[50] C. Sommer, Schneider L M, Nguyen J, et al. Identifying microplastic litter with laser induced breakdown spectroscopy: a first approach [J]. Marine Pollution Bulletin, 2021,171:112789.
[51] 田华,侯志杰,陈报阳,等.近红外光谱在鱼类及鱼制品定性定量分析中的应用[J].食品与发酵工业, 2017,43(6):274-278. Tian H, Hou Z J, Chen B Y, et al. Application of near-infrared spectroscopy in qualitative and quantitative analysis of fish and fish products [J]. Food and Fermentation Industries, 2017,43(6):274-278.
[52] 盛瑜,李梓橦,刘玲,等.龟甲药材的红外指纹图谱鉴别研究[J].时珍国医国药, 2017,28(5):1127-1129. Sheng Y, Li Z T, Liu L, et al. Identification of carapax et plastrum testudinis by infrared fingerprint [J]. Lishizhen Medicine and Materia Medica Research, 2017,28(5):1127-1129.
[53] Liu D P, Nie L, Xi B, et al. A novel-approach for identifying sources of fluvial DOM using fluorescence spectroscopy and machine learning model [J]. npj Clean Water, 2024,7(1):79.
[54] Pan H W, Yu H, Song Y, et al. Application of solid surface fluorescence EEM spectroscopy for tracking organic matter quality of native halophyte and furrow-irrigated soils [J]. Ecological Indicators, 2017,73:88-95.
[55] 孙雍荣,权志熙,丁林志,等.基于三维荧光光谱的原酒品质评价模型建立[J].光谱学与光谱分析, 2024,44(12):3391-3398. Sun Y R, Quan Z X, Ding L Z, et al. Establishment of a quality evaluation model for raw liquor based on three-dimensional fluorescence spectroscopy [J]. Spectroscopy and Spectral Analysis, 2024,44(12):3391-3398.
[56] Gondal M A, Siddiqui M N. Identification of different kinds of plastics using laser-induced breakdown spectroscopy for waste management [J]. Journal of Environmental Science and Health, Part A, 2007,42(13): 1989-1997.
[57] 杨新艳,李东东,叶文清,等.基于激光诱导击穿光谱的标准加入法研究进展[J/OL].激光技术,1-9[2025-05-14].http://kns.cnki.net/ kcms/detail/51.1125.tn.20240830.0959.002.html. Yang X Y, Li D D, Ye W Q, et al. Research progress of standard addition method based on laser-induced breakdown spectroscopy [J/OL]. Laser Technology, 1-9[2025-05-14].http://kns.cnki.net/kcms/ detail/51.1125.tn.20240830.0959.002.html.
[58] 郭连波,张登,褚燕武,等.一种LIBS基体效应校正方法及其应用:CN110987903B [P]. 2021-06-11. Guo L B, Zhang D, Chu Y W, et al. A correction method and application of LIBS matrix effect: CN110987903B [P]. 2021-06-11.
[59] 杨先茂,喻子彧,马维喆,等.LIBS测量飞灰含碳量的研究现状及展望[J].量子电子学报, 2024,41(3):421-436. Yang X M, Yu Z Y, Ma W Z, et al. Research status and prospects of carbon content measurement in fly ash by LIBS [J]. Chinese Journal of Quantum Electronics, 2024,41(3):421-436.
[60] 孙建民,贾亮亮,马勇,等.不同产地鲍鱼的HPLC指纹图谱[J].河北大学学报(自然科学版), 2010,30(6):676-681. Sun J M, Jia L L, Ma Y, et al. HPLC fingerprint of abalone from different origins [J]. Journal of Hebei University (Natural Science Edition), 2010,30(6):676-681.
[61] 何建雄,魏刚,黄月纯,等.广藿香GC-MS特征指纹图谱数字化信息的应用及其GC验证[J].中国中药杂志, 2008,33(3):316-318. He J X, Wei G, Huang Y C, et al. Application of digital information of GC-MS characteristic fingerprint of Pogostemon cablin and its GC verification [J]. China Journal of Chinese Materia Medica, 2008,33(3): 316-318.
[62] 程媛,忻晓东,彭安堂,等.基于GC-MS指纹图谱及多成分含量测定对经典名方乌药汤物质基准质量评价研究[J].中国现代应用药学, 2021,38(23):2978-2984. Cheng Y, Xin X D, Peng A T, et al. Quality evaluation of classical famous prescription Wuyao Tang based on GC-MS fingerprint and multi-component content determination [J]. Chinese Journal of Modern Applied Pharmacy, 2021,38(23):2978-2984.
[63] 牛姗姗.气相色谱质谱法测定固体废物中64种半挥发性有机物[C] //中国环境科学学会2021年科学技术年会——环境工程技术创新与应用分会场论文集(二).天津:中国环境科学学会, 2021, 7:175-181. Niu S S.Determination of 64 semi-volatile organic compounds in solid waste by gas chromatography-mass spectrometry [C] //Proceedings of the 2021Annual Scientific and Technological Conference of the Chinese Society for Environmental Sciences - Environmental Engineering Technology Innovation and Application Sub-forum (II). Tianjin: Chinese Society for Environmental Sciences, 2021,7:175- 181.
[64] 梁柳玲,杨肖娜,叶开晓,等.气相色谱-质谱法测定废酸油渣中的16种多环芳烃[J].中国环境监测, 2021,37(3):192-200. Liang L L, Yang X N, Ye K X, et al. Determination of 16polycyclic aromatic hydrocarbons in waste acid oil residues by gas chromatography-mass spectrometry [J]. China Environmental Monitoring, 2021,37(3):192-200.
[65] 李唯实,徐亚,雷国元,等.典型农药废盐热处理特性及适用性[J].环境科学研究, 2018,31(10):1779-1786. Li W S, Xu Y, Lei G Y, et al. Heat treatment characteristics and applicability of typical pesticide waste salts [J]. Research of Environmental Sciences, 2018,31(10):1779-1786.
[66] 徐玉全. LA-ICP-MS应用于BSO晶体定量和微区成像分析方法的研究[D].上海:上海应用技术大学, 2023. Xu Y Q. Research on LA-ICP-MS application in BSO crystal quantification and micro-area imaging analysis methods [D]. Shanghai: Shanghai Institute of Technology, 2023.
[67] 高美美,黄明涛,候阿凤,等.ICP-MS结合化学计量学测定杉木叶中无机元素的含量及指纹图谱研究[J].中药材, 2024,47(8):2001- 2006. Gao M M, Huang M T, Hou A F, et al. Determination of inorganic elements and fingerprint spectra in cedar leaves by ICP-MS combined with chemometrics [J]. Chinese Herbal Medicines, 2024,47(8):2001- 2006.
[68] 冉金凤,李俊婕,王小兵,等.电感耦合等离子体质谱(ICP-MS)法测定黄精中15种稀土元素及其指纹图谱绘制[J].中国无机分析化学, 2023,13(3):286-292. Ran J F, Li J J, Wang X B, et al. Determination of 15 rare earth elements in Polygonatum sibiricum and the drawing of its fingerprint spectrum by ICP-MS [J]. Chinese Journal of Inorganic Analytical Chemistry, 2023,13(3):286-292.
[69] Dennler N, Drix D, Warner T P A, et al. High-speed odor sensing using miniaturized electronic nose [J]. Science Advances, 2024,10(45): e1764.
[70] Li Y, Wang Z, Zhao T, et al. Electronic nose for the detection and discrimination of volatile organic compounds: application, challenges, and perspectives [J]. TrAC, Trends in Analytical Chemistry, 2024,180: 117958.
[71] 吴炜,吴佳瑶,陈佳桦,等.气味指纹图谱技术在纺织品检测中的应用[J/OL].现代纺织技术, 1-10[2025-05-13].http://kns.cnki.net/ kcms/detail/33.1249.TS.20241025.0946.006.html. Wu W, Wu J Y, Chen J H, et al. Application of odor fingerprint technology in textile testing [J/OL]. Modern Textile Technology, 1-10[2025-05-13]. http://kns.cnki.net/kcms/detail/33.1249.TS.20241025.0946.006.html.
[72] 张珊珊,楼紫阳,王川,等.电子鼻结合机器学习对污泥异味特征的识别研究[J].环境污染与防治, 2023,45(9):1234-1239,1247. Zhang S S, Lou Z Y, Wang C, et al. Determination of sludge odor characteristics by electronic nose combined with machine learning [J]. Environmental Pollution and Control, 2023,45(9):1234-1239, 1247.
[73] Othman Kombo K, Nur Hidayat S, Puspita M, et al. A machine learning-based electronic nose for detecting neonatal sepsis: analysis of volatile organic compound biomarkers in fecal samples [J]. Clinica Chimica Acta, 2025,565:119974.
[74] 郭薇,王伯光,唐小东,等.城市污水处理厂挥发性芳香烃的气味指纹及定量评价研究[J].环境科学, 2013,34(5):2038-2043. Guo W, Wang B G, Tang X D, et al. Odor fingerprint and quantitative evaluation of volatile aromatic hydrocarbons in urban wastewater treatment plants [J]. Environmental Science, 2013,34(5):2038-2043.
[75] Dou Y, Mei M, Kettunen T, et al. Chemical fingerprinting of phenolic compounds in finnish berry wines using fourier transform ion cyclotron resonance mass spectrometry [J]. Food Chemistry, 2022,383: 132303.
[76] Wang Y, Tong Z, Jiang L, et al. Molecular-level insights into the synergistic activation of peracetic acid by ultraviolet and ferrous ions for the degradation of sedimentation sludge water in drinking water treatment plants based on fourier transform-ion cyclotron resonance mass spectrometry [J]. Separation and Purification Technology, 2025, 355:129708.
[77] He C, Yi Y, He D, et al. Molecular composition of dissolved organic matter across diverse ecosystems: preliminary implications for biogeochemical cycling [J]. Journal of Environmental Management, 2023,344:118559.
[78] 何晨,何丁,陈春茂,等.傅里叶变换离子回旋共振质谱在溶解性有机质组成分析中的应用[J].中国科学:地球科学, 2022,52(12): 2323-2341. He C, He D, Chen C M, et al. Application of fourier transform-ion cyclotron resonance mass spectrometry in composition analysis of dissolved organic matter [J]. Science China Earth Sciences, 2022, 52(12):2323-2341.
[79] 孙立丽,王萌,任晓亮.化学模式识别方法在中药质量控制研究中的应用进展[J].中草药, 2017,48(20):4339-4345. Sun L L, Wang M, Ren X L. Research progress on chemical pattern recognition methods in quality control of traditional chinese medicine [J]. Chinese Herbal Medicines, 2017,48(20):4339-4345.
[80] 张晓阳,侯一哲,黎翩,等.三七总皂苷提取物物理指纹图谱构建及预测方法[J].中国粉体技术, 2024,30(4):115-127. Zhang X Y, Hou Y Z, Li P, et al. Construction and prediction method of physical fingerprint for panax notoginseng saponin extract [J]. China Powder Science and Technology, 2024,30(4):115-127.
[81] Boccard J, Rutledge D N. A consensus orthogonal partial least squares discriminant analysis (OPLS-DA) strategy for multiblock omics data fusion [J]. Analytica Chimica Acta, 2013,769:30-39.
[82] Zhang Y, Yang X, Cai Z, et al. Online detection of watercore apples by vis/NIR full-transmittance spectroscopy coupled with ANOVA method [J]. Foods, 2021,10(12):2983.
[83] 肖琪.基于电化学指纹图谱和机器学习的金线莲鉴定方法研究[D].杭州:杭州电子科技大学, 2023. Xiao Q. Research on anoectochilus roxburghii identification method based on electrochemical fingerprint and machine learning [D]. Hangzhou: Hangzhou Dianzi University, 2023.
[84] 赵汉卿.随机森林算法在中药材产地溯源中的应用研究[D].长沙:中南林业科技大学, 2024. Zhao H Q. Application of random forest algorithm in geographical origin tracing of Chinese medicinal materials [D]. Changsha: Central South University of Forestry and Technology, 2024.
[85] 张雅淑.基于多指纹图谱技术的红糖产地溯源初探研究[D].南宁:广西大学, 2024. Zhang Y S. Preliminary study on geographical origin tracing of brown sugar using multi-fingerprint technology [D]. Nanning: Guangxi University, 2024.
[86] 杨玉飞,李雪冰,迭庆杞,等.一种固体废物指纹特征提取方法:中国, CN118194007A [P]. 2024-06-14. Yang Y F, Li X B, Die Q Q, et al. A method for extracting fingerprint characteristics of solid waste: China, CN118194007A [P]. 2024- 06-14.
[87] 李烃,沈维,易志伟,等.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 T, Shen W, Yi Z W, et al. Rapid identification of imported iron ore solid waste attributes based on X-Ray diffraction fingerprint technology [J]. Metallurgical Analysis, 2024,44(10):38-44.
[88] 李辉,韩宗珠,闫天浩,等.稀土元素配分曲线的相似性度量算法及其在黄海沉积物物源判别中的应用[J].海洋地质前沿, 2023,39(12):88-97. Li H, Han Z Z, Yan T H, et al. Similarity measurement algorithm of rare earth element distribution patterns and its application in provenance discrimination of Yellow Sea sediments [J]. Marine Geology Frontiers, 2023,39(12):88-97.
[89] 崔小敏,张红,任慧,等.基于HPLC指纹图谱和多指标含量测定的白毛银露梅质量评价[J/OL].辽宁中医杂志,1-13[2025-05-14]. http://kns.cnki.net/kcms/detail/21.1128.R.20241216.0921.084.html. Cui X M, Zhang H, Ren H, et al. Quality evaluation of potentilla glabra based on HPLC fingerprint and multi-Index content determination [J/OL]. Liaoning Journal of Traditional Chinese Medicine, 1-13[2025-05-14].http://kns.cnki.net/kcms/detail/21.1128. R.20241216.0921.084.html.
[90] 刘航瑞,陈玉娟,臧洋,等.无机元素的指纹图谱分析在透明质酸钠来源鉴别中的应用[J].分析化学, 2023,51(12):1975-1982. Liu H R, Chen Y J, Zang Y, et al. Application of inorganic element fingerprint analysis in source identification of sodium hyaluronate [J]. Chinese Journal of Analytical Chemistry, 2023,51(12):1975-1982.
[91] 赖晓娜,罗辉泰,张春华,等.基于矿物元素指纹图谱鉴定陈皮产地的方法研究[J].分析测试学报, 2024,43(2):301-308. Lai X N, Luo H T, Zhang C H, et al. Method for identifying geographical origin of citrus reticulata 'Chachi' based on mineral element fingerprint [J]. Journal of Analytical Testing, 2024,43(2): 301-308.