MA Y Y, LIU P P, HU X H, et al. Fast Determination of Trace Elemental Sulfur Residue in Rare Earth Sulfide Samples by Inductively Coupled Plasma Optical Emission Spectrometry[J]. Atomic Spectroscopy, 2020, 41(2): 81-86. doi: 10.46770/AS.2020.02.005
HRADECKÁ I, VELVARSKÁ R, JAKLOVÁ K D, et al. Rapid Determination of Diesel Fuel Properties by Near-Infrared Spectroscopy[J]. Infrared Physics and Technology, 2021, 119: 103933. doi: 10.1016/j.infrared.2021.103933
STANISLAUS A, MARAFI A, RANA M S. Recent Advances in the Science and Technology of Ultra Low Sulfur Diesel (ULSD) Production[J]. Catalysis Today, 2010, 153(1-2): 1-68. doi: 10.1016/j.cattod.2010.05.011
CAMPOS-MARTIN J M, CAPEL-SANCHEZ M C, PEREZ-PRESAS P, et al. Oxidative Processes of Desulfurization of Liquid Fuels[J]. Journal of Chemical Technology & Biotechnology, 2010, 85(7): 879-890.
SHEN F X, LI X B. Effects of Fuel Types and Fuel Sulfur Content on the Characteristics of Particulate Emissions in Marine Low-Speed Diesel Engine[J]. Ecology Environment & Conservation, 2020, 27(30): 37229-37236.
RANZAN L, TRIERWEILER L F, TRIERWEILER J O. Prediction of Sulfur Content in Diesel Fuel Using Fluorescence Spectroscopy and a Hybrid ant Colony-Tabu Search Algorithm with Polynomial Bases Expansion[J]. Chemometrics and Intelligent Laboratory Systems, 2020, 206: 104161. doi: 10.1016/j.chemolab.2020.104161
RANZAN L, RANZAN C, TRIERWEILER L F, et al. Classification of Diesel Fuel Using Two-Dimensional Fluorescence Spectroscopy[J]. Energy & Fuels, 2017, 31(9): 8942-8950.
ABURTO P, ZUNIGA K, CAMPOS-TERAN J, et al. Quantitative Analysis of Sulfur in Diesel by Enzymatic Oxidation, Steady-State Fluorescence, and Linear Regression Analysis[J]. Energy & Fuels, 2014, 28(1): 403-408.
CRUZ S M, TIRK P, DALLA NORA F M, et al. Feasibility of Sulfur Determination in Diesel Oil by Inductively Coupled Plasma Optical Emission Spectrometry After Microwave-Induced Combustion Using Flame Retardant[J]. Fuel, 2015, 160: 108-113. doi: 10.1016/j.fuel.2015.07.069
ZAMORA-ROJAS E, PÉREZ-MARÍN D, PEDRO-SANZ E D, et al. Handheld NIRS Analysis for Routine Meat Quality Control: Database Transfer from At-Line Instruments[J]. Chemometrics and Intelligent Laboratory Systems, 2012, 114: 30-35. doi: 10.1016/j.chemolab.2012.02.001
PAIVA E M, ROHWEDDER J J R, PASQUINI C, et al. Quantification of Biodiesel and Adulteration with Vegetable Oils in Diesel/Biodiesel Blends Using Portable Bear-Infrared Spectrometer[J]. Fuel, 2015, 160: 57-63. doi: 10.1016/j.fuel.2015.07.067
CORREIA R M, TOSATO F, DOMINGOS E, et al. Portable Near Infrared Spectroscopy Applied to Quality Control of Brazilian Coffee[J]. Talanta, 2018, 176: 59-68. doi: 10.1016/j.talanta.2017.08.009
国家石油和化学工业局. 轻质烃及发动机燃料和其他油品的总硫含量测定法(紫外荧光法): SH/T 0689-2000[S]. 北京: 中国标准出版社, 2000.
祝诗平, 梁晶, 屠大伟, 等. 基于近红外光谱与DPLS的潲水油快速鉴别方法[J]. 西南大学学报(自然科学版), 2012, 34(5): 1-6.
SEEGER M. Gaussian Processes for Machine Learning[J]. International Journal of Neural Systems, 2008, 14(2): 69-106.
ZHANG L, LI G, SUN M X, et al. Kennard-Stone Combined with Least Square Support Vector Machine Method for Noncontact Discriminating Human Blood Species[J]. Infrared Physics & Technology, 2017, 86: 116-119.
HONG Y S, CHEN S C, CHEN Y Y, et al. Comparing Laboratory and Airborne Hyperspectral Data for the Estimation and Mapping of Topsoil Organic Carbon: Feature Selection Coupled with Random Forest[J]. Soil and Tillage Research, 2020, 199: 104589.
吴习宇, 曾凯芳, 郭启高, 等. 基于高光谱成像的枇杷果实品质检测[J]. 西南大学学报(自然科学版), 2022, 44(9): 52-60.
郝勇, 孙旭东, 潘圆媛, 等. 蒙特卡罗无信息变量消除方法用于近红外光谱预测果品硬度和表面色泽的研究[J]. 光谱学与光谱分析, 2011, 31(5): 1225-1229.