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Moving window correlation coefficient differences partial least squares (MWCC-DPLS) quantitative calibration method based on spectral differences between calibration samples: Application to the fast determination of gasoline octane number with near-infrared spectroscopy

Haipeng Wang, Xiaoli Chu, Pu Chen, Jingyan Li, Dan Liŭ, Yupeng Xu

2022Fuel Processing Technology16 citationsDOI

Topics & Concepts

CalibrationPartial least squares regressionGasolineCorrelation coefficientNear-infrared spectroscopyOctaneOctane ratingMathematicsStatisticsAnalytical Chemistry (journal)ChemistryChromatographyOpticsPhysicsOrganic chemistrySpectroscopy and Chemometric AnalysesAdvanced Chemical Sensor TechnologiesWater Quality Monitoring and Analysis
Moving window correlation coefficient differences partial least squares (MWCC-DPLS) quantitative calibration method based on spectral differences between calibration samples: Application to the fast determination of gasoline octane number with near-infrared spectroscopy | Litcius