1. Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, School of Instrument Science and Optoelectronics Engineering, Hefei University of Technology, Hefei, Anhui 230009, China
2. National Institute of Metrology, Beijing 100029, China
Abstract：A high precision near infrared Fourier (NIR) spectrometer for rapid measurement of oil parameters was developed to address the need for real time and accuracy in field testing of oil products. To quickly locate the effective signal, the coherent length amplification method was employed by the spectrometer; the Fourier NIR detection optical path was modulated by driving the acquisition control system to interfere at 100nm equal intervals; the final absorption spectrum resolution up to 3.25cm-1 was resolved by the Fourier inversion. The spectrometer was used to test the quality of gasoline samples, and the results showed that the spectrometer can quickly measure the content of five substances in gasoline in a short time, and its maximum volume error does not exceed 0.7%, which can meet the needs of on-site measurement of oil parameters and is of great significance for the supervision of the quality of refined oil products in the market.
ZHANG W H, DU J, WANG J. Research on the effective use of near infrared spectroscopy in oil product testing ［J］. China Standardization, 2018(8): 226-227.
XIN L, YANG Z H, FENG X, et al. Qualitative and quantitative analysis of catalytically cracked gasoline by full two-dimensional gas chromatography coupled with time-of-flight mass spectrometry ［J］. Chinese Journal of Analytical Chemistry, 2017, 45(4): 489-494.
MA T Y. Application of Gas Chromatography in Oil Product Analysis ［J］. Chemical Management, 2021, (20): 46-47.
QIAO L M. Common techniques in oil analysis ［J］. China Petroleum and Chemical Standard and Quality, 2019, 39(8): 234-236.
LUO Z, HU H X. Application of nuclear magnetic resonance online analysis technology in oil analysis of catalytic plants ［J］. Control and Instruments in Chemical Industry, 2004, 31(4): 46-48.
［13］
WANG H, CHU X, CHEN P, et al. Partial least squares regression residual extreme learning machine (PLSRR-ELM) calibration algorithm applied in fast determination of gasoline octane number with near-infrared spectroscopy［J］. Fuel, 2022, 309: 1-8.
WANG X H, ZHANG X, ZHANG W G, et al. Research Progress of Miniature Near Infrared Spectrometer ［J］. Infrared Technology, 2020, 42(7): 688-696.
L H Z, MA R M, ZHANG L, et al. Research on Accurate Measurement of Low Concentration Nitric Oxide in High Temperature Water-containing Flue Gas Based on FTIR Spectrometer ［J］. Acta Metrologica Sinica, 2021, 42(4): 526-531.
ZHANG Z L, ZHEN P, HE W Q, et al. Visible-NIR Fourier Transform Spectroscopy ［J］. Journal of Instrumental Analysis, 1988(4): 12-16.
［23］
LI K, ZHANG C, DU B, et al. Selection of the Effective Characteristic Spectra Based on the Chemical Structure and Its Application in Rapid Analysis of Ethanol Content in Gasoline［J］. ACS omega, 2022, 7(23): 20291-20297.
LI K, DU B, XIAO Z, et al. Research Progress of Rapid Oil Detection Method Based on Near Infrared Spectroscopy ［J］. Metrology Science and Technology, 2023, 66(12): 3-9.
［8］
OSIPOVS S. Comparison of efficiency of two methods for tar sampling in the syngas［J］. Fuel, 2013, 103: 387-392.
LI J Y, CHU X L, CHEN P, et al. Application of Spectral Automatic Retrieval Algorithm on the Rapid Establishment of Gasoline Spectral Database ［J］. Acta Petrolei Sinica(Petroleum Processing Section), 2017, 33(1): 131-137.
TONG J P, YANG J W, ZHENG W Q, et al. Nonlinear Correction of Optoelectronic Array Sensor ［J］. Acta Metrologica Sinica, 2019, 40(3): 416-420.
［25］
LITANI-BARZILAI I, SELA I, BULATOV V, et al. On-line remote prediction of gasoline properties by combined optical methods［J］. Analytica chimica acta, 1997, 339(1-2): 193-199.
［26］
LEAL A L, SILVA A M S, RIBEIRO J C, et al. Data driven models exploring the combination of NIR and 1H NMR spectroscopies in the determination of gasoline properties［J］. Microchemical Journal, 2022, 175: 1-10.
LI Q, DU B, ZHANG Z D, et al. Application of Fourier Transform Near-Infrared Spectrometer in Gasoline and Diesel Analysis［J］. Metrology Science and Technology, 2022, 66(10): 20-27.
LI K, LU B, DU B, et al. Effective Selection and Application of Ethanol Characteristic Spectrum in Gasoline ［J］. Metrology Science and Technology, 2022, 66(5): 19-24.
XU Z. Near infrared spectroscopy Applications in oil testing ［J］. China Petroleum and Chemical Standard and Quality, 2015, 35(24): 13-15, 23.
LIU Y R, XU Y P, YANG H Y. Investigation of Fuzzy-Clustering in Octane Number Prediction Model Based on Detailed Hydrocarbon Analysis Data ［J］. Chinese Journal of Chromatography, 2004, 22(5): 486-489.
WANG L F, WEN Z Y, XIANG X Y. Design and simulation of optical systems for near-infrared microspectrometers ［J］. Spectroscopy and Spectral Analysis, 2009, 29(6): 1721-1725.
［24］
LI M G, YAN C H, XUE J, et al. Rapid quantitative analysis of methanol content in methanol gasoline by near infrared spectroscopy coupled with wavelet transform-random forest［J］. Chinese Journal of Analytical Chemistry, 2019, 47(12): 1995-2003.
MOLINA V D, ANGULO R, DUEEZ F Z, et al. Partial Least Squares (PLS) and Multiple Linear Correlations between Heithaus Stability Parameters (P o) and the Colloidal Instability Indices (CII) with the 1H Nuclear Magnetic Resonance (NMR) Spectra of Colombian Crude Oils［J］. Energy & fuels, 2014, 28(3): 1802-1810.
［16］
陈孜. 基于线性渐变滤光片的便携式中红外光谱仪［D］. 南京: 南京航空航天大学, 2020.
［22］
HONG S, WANG Y, CHEN A, et al. Rapid Assessment of Gasoline Quality by near-Infrared (NIR) Deep Learning Model Combined with Fractional Derivative Pretreatment［J］. Analytical Letters, 2022, 55(11): 1745-1756.
［30］
GRIFFETHS P R, HASETH J A. Fourier transform infrared spectrometry second edition［M］. Hoboken: A John Wiley & Sons, 2007.
2024, Vol. 45 
