Volume 66 Issue 12
Feb.  2023
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FANG Xu, LI Qi, ZHANG Zhengdong, LI Ke, LI Qingwu, YU Yaqin, LI Shuo, SHU Hui. Analysis of Methanol Content in Methanol Gasoline Based on Calibration of Portable Raman Spectrometer[J]. Metrology Science and Technology, 2022, 66(12): 21-26. doi: 10.12338/j.issn.2096-9015.2022.0189
Citation: FANG Xu, LI Qi, ZHANG Zhengdong, LI Ke, LI Qingwu, YU Yaqin, LI Shuo, SHU Hui. Analysis of Methanol Content in Methanol Gasoline Based on Calibration of Portable Raman Spectrometer[J]. Metrology Science and Technology, 2022, 66(12): 21-26. doi: 10.12338/j.issn.2096-9015.2022.0189

Analysis of Methanol Content in Methanol Gasoline Based on Calibration of Portable Raman Spectrometer

doi: 10.12338/j.issn.2096-9015.2022.0189
  • Received Date: 2022-07-30
  • Accepted Date: 2022-08-22
  • Available Online: 2022-09-26
  • Publish Date: 2022-12-18
  • As an alternative fuel to gasoline, methanol gasoline is economical and environmentally friendly, and its methanol concentration has a significant effect on calorific value, explosion resistance, and combustion efficiency. As a nondestructive, rapid, portable, easy-to-operate, and low-cost analytical method, portable Raman spectroscopy has been applied to the analysis of the methanol content of methanol gasoline. However, the nonlinear Raman frequency-shift demonstration error of portable Raman spectrometers affects the accuracy of analytical modeling. A method for methanol content analysis of methanol gasoline with portable Raman spectrometer calibration is proposed. The polystyrene Raman frequency-shifted reference material is used for multi-point calibration, and a peak detection algorithm is used for the calibration of Raman spectra. Based on two characteristic peaks of methanol, a binary linear regression method is proposed to establish a quantitative analysis model. The prediction results and evaluation indexes of the model show that this method can predict the methanol content more accurately.
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  • [1]
    全国石油产品和润滑剂标准化技术委员会. 车用醇汽油(M85): GB/T 23799-2009 [S]. 北京: 中国标准出版社, 2009.
    [2]
    温晓燕, 徐艳艳, 李茂刚, 等. 分段直接校正模型转移结合近红外光谱技术的甲醇汽油中甲醇定量分析方法研究[J]. 分析化学, 2021, 49(10): 1758-1765.
    [3]
    姚捷, 戴连奎, 林艺玲. 基于拉曼特征峰的甲醇汽油甲醇含量测定[J]. 光散射学报, 2013, 25(1): 59-65. doi: 10.3969/j.issn.1004-5929.2013.01.011
    [4]
    李茂刚, 闫春华, 杜瑶, 等. 拉曼光谱结合偏最小二乘的甲醇汽油甲醇含量快速定量分析方法研究[J]. 光谱学与光谱分析, 2021, 41(7): 2099-2104.
    [5]
    李津蓉. 拉曼光谱的数学解析及其在定量分析中的应用[D]. 杭州: 浙江大学, 2013.
    [6]
    宋健. 便携式拉曼光谱仪的校准方法[J]. 化学分析计量, 2020, 29(4): 97-100. doi: 10.3969/j.issn.1008-6145.2020.04.022
    [7]
    李茂刚. 基于Raman-NIR光谱数据融合的甲醇汽油甲醇含量快速分析研究[D]. 西安: 西安石油大学, 2020.
    [8]
    王毅. 便携式拉曼光谱仪及数据处理关键技术研究[D]. 成都: 电子科技大学, 2019.
    [9]
    康建爽, 张璐妮, 蒋书波, 等. 基于拉曼分析技术乙醇汽油辛烷值快速测定研究[J]. 化工自动化及仪表, 2010, 37(3): 52-54. doi: 10.3969/j.issn.1000-3932.2010.03.012
    [10]
    包丽丽, 齐小花, 张孝芳, 等. 几种常用油品拉曼光谱的检测及分析[J]. 光谱学与光谱分析, 2012, 32(2): 394-397. doi: 10.3964/j.issn.1000-0593(2012)02-0394-04
    [11]
    孙中奇. 基于拉曼光谱解析的调和汽油辛烷值在线分析及控制[D]. 杭州: 浙江大学, 2020.
    [12]
    全国医学计量技术委员会. 拉曼光谱仪校准规范: JJF 1544-2015[S]. 北京: 中国标准出版社, 2015.
    [13]
    ASTM. American Society of Testing Materials. Standard Guide for Raman Shift Standards for Spectrometer Calibration: E 1840-96[S]. United States: ASTM International, 2002.
    [14]
    刘想靓,甘海勇, 赫英威, 等. 高精度宽光谱低温绝对辐射计研制[J]. 计量科学与技术, 2021(2): 39-43,53.
    [15]
    李轲, 鲁冰, 杜彪, 等. 汽油中乙醇光谱特征谱段的有效选取及应用[J]. 计量科学与技术, 2022, 66(5): 19-24.
    [16]
    费业泰. 误差理论与数据处理 [M]. 第7版: 机械工业出版社, 2015: 5.
    [17]
    YUN Y H, LI H D, DENG B C, et al. An overview of variableselection methods in multivariate analysis of near-infraredspectra[J]. Trends in Analytical Chemistry, 2019, 103: 102-115.
    [18]
    HOSSEINI E, GHASEMI J B, DARAEI B, et al. Near-infrared spectroscopy and machine learning-based classification and calibration methods in detection and measurement of anionic surfactant in milk[J]. Journal of Food Composition and Analysis, 2021, 104: 104170. doi: 10.1016/j.jfca.2021.104170
    [19]
    褚小立, 王艳斌, 陆婉珍. 近红外光谱定量校正模型的建立及应用[J]. 理化检验·分析手册, 2008, 44(8): 796-800.
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