Abstract: A chemical pattern recognition method for evaluating the quality of a traditional Chinese medicine based on medicine effect information, comprising: collecting chemical information of a traditional Chinese medicine sample, obtaining medicine effect information reflecting a clinical therapeutic effect thereof, performing spectrum-effect relationship analysis on the chemical information and the medicine effect information, and obtaining an index significantly related to the medicine effect as a feature chemical index; dividing the traditional Chinese medicine sample into a training set and a test set; using a pattern recognition method to extract a feature variable from samples of the training set by taking the feature chemical index as an input variable; building a pattern recognition model using the feature variable; and substituting feature variable values of samples of the test set into the model, and completing chemical pattern recognition evaluation of the quality of the traditional Chinese medicine.

Abstract: Provided is a near-infrared spectroscopy-based method for chemical pattern recognition of the authenticity of the traditional Chinese medicine Gleditsiae Spina. The method uses the combination of a near-infrared spectroscopy acquisition method, a 1st derivative pretreatment method and a successive projection algorithm, a Kennard-Stone algorithm and a marching algorithm to perform chemical pattern recognition on the authenticity of the Gleditsiae Spina. The results of the pattern recognition method are accurate and reliable, and Gleditsiae Spina and counterfeits thereof can be accurately distinguished. The present application is the first to establish a method for the chemical pattern recognition of the quality of Gleditsiae Spina based on near-infrared spectroscopy, and can accurately distinguish between Gleditsiae Spina and counterfeits thereof, and provides scientific basis for the quality evaluation of Gleditsiae Spina.

Abstract: A chemical pattern recognition method for evaluating the quality of a traditional Chinese medicine based on medicine effect information, comprising: collecting chemical information of a traditional Chinese medicine sample, obtaining medicine effect information reflecting a clinical therapeutic effect thereof, performing spectrum-effect relationship analysis on the chemical information and the medicine effect information, and obtaining an index significantly related to the medicine effect as a feature chemical index; dividing the traditional Chinese medicine sample into a training set and a test set; using a pattern recognition method to extract a feature variable from samples of the training set by taking the feature chemical index as an input variable; building a pattern recognition model using the feature variable; and substituting feature variable values of samples of the test set into the model, and completing chemical pattern recognition evaluation of the quality of the traditional Chinese medicine.

Abstract: Provided is a near-infrared spectroscopy-based method for chemical pattern recognition of the authenticity of the traditional Chinese medicine Gleditsiae Spina. The method uses the combination of a near-infrared spectroscopy acquisition method, a 1st derivative pretreatment method and a successive projection algorithm, a Kennard-Stone algorithm and a marching algorithm to perform chemical pattern recognition on the authenticity of the Gleditsiae Spina. The results of the pattern recognition method are accurate and reliable, and Gleditsiae Spina and counterfeits thereof can be accurately distinguished. The present application is the first to establish a method for the chemical pattern recognition of the quality of Gleditsiae Spina based on near-infrared spectroscopy, and can accurately distinguish between Gleditsiae Spina and counterfeits thereof, and provides scientific basis for the quality evaluation of Gleditsiae Spina.

Abstract: A method and system for detecting residual poison in human body are provided. Using the disclosed HPLC-Chip-mass spectrometry (MS)/MS and/or HPLC-MS/MS method to detect the residual poison, the method of the present invention mainly includes sample preparation, liquid chromatography and mass spectrometry. The method of the present invention has advantages of low sample size, high specificity, low detection limit, high sensitivity, low cost, high accuracy and stability, etc.

Abstract: A method for rapidly measuring melatonin adulteration of Chinese patent medicines and healthcare foods comprises: (1) extracting melatonin added to a Chinese patent medicine or healthcare food by using ethyl acetate; and (2) adding p-dimethylaminocinnamaldehyde to the extracted solution, and observing color. The method is rapid, simple and convenient, has strong specificity, high accuracy, reaction sensitivity, and a wide application range, and is applicable to on-site detection of melatonin adulteration of a Chinese patent medicine or healthcare food.

Abstract: A method for rapidly measuring melatonin adulteration of Chinese patent medicines and healthcare foods comprises: (1) extracting melatonin added to a Chinese patent medicine or healthcare food by using ethyl acetate; and (2) adding p-dimethylaminocinnamaldehyde to the extracted solution, and observing color. The method is rapid, simple and convenient, has strong specificity, high accuracy, reaction sensitivity, and a wide application range, and is applicable to on-site detection of melatonin adulteration of a Chinese patent medicine or healthcare food.

Abstract: A method and system for detecting residual poison in human body are provided. Using the disclosed HPLC-Chip-mass spectrometry (MS)/MS and/or HPLC-MS/MS method to detect the residual poison, the method of the present invention mainly includes sample preparation, liquid chromatography and mass spectrometry. The method of the present invention has advantages of low sample size, high specificity, low detection limit, high sensitivity, low cost, high accuracy and stability, etc.