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Rapid quantification of active pharmaceutical ingredient for sugar-free Yangwei granules in commercial production using FT-NIR spectroscopy based on machine learning techniques

Jie Zhao, Geng Tian, Yanyan Qiu, Haibin Qu

2020Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy55 citationsDOI

Topics & Concepts

PaeoniflorinMean squared errorPartial least squares regressionArtificial neural networkArtificial intelligenceCalibrationSupport vector machineComputer scienceMachine learningParticle swarm optimizationActive ingredientCorrelation coefficientLeast squares support vector machineBackpropagationBiological systemMathematicsChemistryStatisticsChromatographyBioinformaticsHigh-performance liquid chromatographyBiologySpectroscopy and Chemometric AnalysesTraditional Chinese Medicine AnalysisSpectroscopy Techniques in Biomedical and Chemical Research
Rapid quantification of active pharmaceutical ingredient for sugar-free Yangwei granules in commercial production using FT-NIR spectroscopy based on machine learning techniques | Litcius