Winter jujube(Ziziphus jujuba'Dongzao')is greatly appreciated by consumers for its excellent quality,but brand infringement frequently occurs in the market.Here,we first determined a total of 38 elements in 16...Winter jujube(Ziziphus jujuba'Dongzao')is greatly appreciated by consumers for its excellent quality,but brand infringement frequently occurs in the market.Here,we first determined a total of 38 elements in 167 winter jujube samples from the main winter jujube producing areas of China by inductively coupled plasma mass spectrometer(ICP-MS).As a result,16 elements(Mg,K,Mn,Cu,Zn,Mo,Ba,Be,As,Se,Cd,Sb,Ce,Er,Tl,and Pb)exhibited significant differences in samples from different producing areas.Supervised linear discriminant analysis(LDA)and orthogonal projection to latent structures discriminant analysis(OPLS-DA)showed better performance in identifying the origin of samples than unsupervised principal component analysis(PCA).LDA and OPLS-DA had a mean identification accuracy of 87.84 and 94.64%in the testing set,respectively.By using the multilayer perceptron(MLP)and C5.0,the prediction accuracy of the models could reach 96.36 and 91.06%,respectively.Based on the above four chemometric methods,Cd,Tl,Mo and Se were selected as the main variables and principal markers for the origin identification of winter jujube.Overall,this study demonstrates that it is practical and precise to identify the origin of winter jujube through multi-element fingerprint analysis with chemometrics,and may also provide reference for establishing the origin traceability system of other fruits.展开更多
High performance liquid chromatographic(HPLC) fingerprints of Cassia seed,a traditional Chinese medicine(TCM),were developed by means of the chromatograms at two wavelengths of 238 and 282 nm.Then,the two data sets we...High performance liquid chromatographic(HPLC) fingerprints of Cassia seed,a traditional Chinese medicine(TCM),were developed by means of the chromatograms at two wavelengths of 238 and 282 nm.Then,the two data sets were combined into one matrix.The application of principal component analysis(PCA) for this data matrix showed that the samples were clustered into four groups in accordance with the plant sources and preparation procedures.Furthermore,partial least squares(PLS),back propagation artificial neu...展开更多
To objectively classify and evaluate the strong aroma base liquors(SABLs)of different grades,solid-phase microextraction-mass spectrometry(SPME-MS)combined with chemometrics were used.Results showed that SPME-MS combi...To objectively classify and evaluate the strong aroma base liquors(SABLs)of different grades,solid-phase microextraction-mass spectrometry(SPME-MS)combined with chemometrics were used.Results showed that SPME-MS combined with a back-propagation artificial neural network(BPANN)method yielded almost the same recognition performance compared to linear discriminant analysis(LDA)in distinguishing different grades of SABL,with 84%recognition rate for the test set.Partial least squares(PLS),successive projection algorithm partial least squares(SPA-PLS)model,and competitive adaptive reweighed samplingpartial least squares(CARS-PLS)were established for the prediction of the four esters in the SABL.CARS-PLS model showed a greater advantage in the quantitative analysis of ethyl acetate,ethyl butyrate,ethyl caproate,and ethyl lactate.These results corroborated the hypothesis that SPME-MS combined with chemometrics can effectively achieve an accurate determination of different grades of SABL and prediction performance of esters.展开更多
In this work,functionalized carbon nanotubes(CNTs)using two polyamine polymers,polyethyleneimine(PEI)and polyamidoamine dendrimer(PAMAM),were investigated by thermal analysis in order to address preparation strategies...In this work,functionalized carbon nanotubes(CNTs)using two polyamine polymers,polyethyleneimine(PEI)and polyamidoamine dendrimer(PAMAM),were investigated by thermal analysis in order to address preparation strategies to obtain low cytotoxic compounds with the ability to conjugate micro-RNAs and,at the same time,to transfect efficiently endothelial cells.Thermogravimetric analysis(TGA)was coupled to chemometrics as a novel analytical strategy to characterize functionalized CNTs from different preparation conditions.In particular,two starting materials were considered:very small CNTs and carboxylated CNTs(CNT-COOH)in order to examine the affinity with polymers.Chemometrics permitted to compare results from TGA and to investigate the effect of a number of factors affecting the synthesis of coated nanotubes including a different amount of involved polymer and the time required for the suspension for a satisfactory and reproducible preparation procedure.The results demonstrated the effectiveness of TGA as a tool able to address synthesis of coated CNTs to be employed as efficient drug delivery vectors in biomedical applications.展开更多
In order to better control the quality of Flos Puerariae(FP),qualitative and quantitative analyses were initially performed by using chemical fingerprint and chemometrics methods in this study.First,the fingerprint of...In order to better control the quality of Flos Puerariae(FP),qualitative and quantitative analyses were initially performed by using chemical fingerprint and chemometrics methods in this study.First,the fingerprint of FP was developed by HPLC and the chemical markers were screened out by similarity analysis(SA),hierarchical clustering analysis(HCA),principal components analysis(PCA),and orthogonal partial least squares discriminant analysis(OPLS-DA).Next,the chemical constituents in FP were profiled and identified by HPLC coupled to Fourier transform ion cyclotron resonance mass spectrometry(HPLCFT-ICR MS).Then,the characteristic constituents in FP were quantitatively analyzed by HPLC.As a result,31 common peaks were assigned in the fingerprint and 6 of them were considered as qualitative markers.A total of 35 chemical constituents were detected by HPLC-FT-ICR MS and 16 of them were unambiguously identified by comparing retention time,UV absorption wavelength,accurate mass,and MS/MS data with those of reference standards.Subsequently,the contents of glycitin,genistin,tectoridin,glycitein,genistein,and tectorigenin in 13 batches of FP were detected,ranging from 0.4438 to 11.06 mg/g,0.955 to 1.726 mg/g,9.81 to 57.22 mg/g,3.349 to 41.60 mg/g,0.3576 to 0.989 mg/g,and 2.126 to 9.99 mg/g,respectively.In conclusion,fingerprint analysis in combination with chemometrics methods could discover chemical markers for improving the quality control standard of FP.It is expected that the strategy applied in this study will be valuable for further quality control of other traditional Chinese medicines.展开更多
Some aspects of the fundamental problems of chemometrics are reviewed based on the research work undertaken in this laboratory. The topics touched upon Include analytical information theory, experimental design and op...Some aspects of the fundamental problems of chemometrics are reviewed based on the research work undertaken in this laboratory. The topics touched upon Include analytical information theory, experimental design and optimization, sampling, analytical detection theory, calibration, signal processing, chemical pattern recognition, quantitative structure-activity relationships, digital simulation, and teaching chemometrics as a chemical discipline.展开更多
Cheddar and Kefalotyri cheese belong to the category of hard cheeses.Cheddar has an English origin,while Kefalotyri is a traditional cheese in Greece and a well-consumed dairy product in Cyprus.Discrimination of dairy...Cheddar and Kefalotyri cheese belong to the category of hard cheeses.Cheddar has an English origin,while Kefalotyri is a traditional cheese in Greece and a well-consumed dairy product in Cyprus.Discrimination of dairy products can be determined through several chemical methods.The aim of this study was to discriminate the samples of Cheddar and Kefalotyri cheese by analyzing various samples,from different brands.Two spectroscopic techniques namely proton nuclear magnetic resonance(1H-NMR)and Fourier-transformed infrared(FTIR)spectroscopy were chosen in order to chemically characterise the samples.The first step of the methodology was the freeze-drying process for lyophilisation of the samples.The number of samples reached 28,including 14 Cheddar samples and 14 samples of Kefalotyri cheese.After that,measurements for each sample have been obtained by FTIR(%transmittance-wavenumber in cm^-1)and ^1H-NMR(signal intensity-chemical shift in ppm)techniques.The data were analysed using SIMCA software.The proposed techniques along with chemometrics allow the discrimination of those two types of cheese.Both techniques employed are of significant importance,since they provide information about good classification of the samples when they are combined together.Interpretation of results and classification by using chemometric methods confirmed the different recipe of the two types of cheese.This study is the initial step of the future work.Future research will focus on discrimination based on the species’origin of milk of these and other cheese samples.展开更多
We used both correlation and covariance-principal component analysis (PCA) to classify the same absorption-reflectance data collected from 13 different polymeric fabric materials that was obtained using Attenuated Tot...We used both correlation and covariance-principal component analysis (PCA) to classify the same absorption-reflectance data collected from 13 different polymeric fabric materials that was obtained using Attenuated Total Reflectance-Fourier Transform Infrared spectroscopy (ATR-FTIR). The application of the two techniques, though similar, yielded results that represent different chemical properties of the polymeric substances. On one hand, correlation-PCA enabled the classification of the fabric materials according to the organic functional groups of their repeating monomer units. On the other hand, covariance-PCA was used to classify the fabric materials primarily according to their origins;natural (animal or plant) or synthetic. Hence besides major chemical functional groups of the repeat units, it appears covariance-PCA is also sensitive to other characteristic chemical (inorganic and/or organic) or biochemical material inclusions that are found in different samples. We therefore recommend the application of both covariance-PCA and correlation-PCA on datasets, whenever applicable, to enable a broader classification of spectroscopic information through data mining and exploration.展开更多
In this study, a seed origin discrimination model for Clinacanthus nutans was developed. First, 81 C. nutans samples from three seed origin locations were collected, and their Near-Infrared (NIR) spectra were obtained...In this study, a seed origin discrimination model for Clinacanthus nutans was developed. First, 81 C. nutans samples from three seed origin locations were collected, and their Near-Infrared (NIR) spectra were obtained. Next, Principal Component Analysis (PCA) was performed on the NIR spectra of the 81 C. nutans samples. Then, MSC (multiplicative scatter correction), SNV (standard normal variate), first derivative, and second derivative pre-treatments of the C. nutans spectra were performed and combined with the Support Vector Machine (SVM) algorithm for modelling and analysis. Among these methods, first-order derivative pre-treatment achieved the best SVM model effectiveness, with a training set accuracy of 93.44% (57/61) and a test set accuracy of 85.00% (17/20). In order to further improve the discrimination accuracy of the model, three optimization algorithms Grid Search (GS), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) were employed to identify the best c and g parameters for the SVM model. The results demonstrated that the PSO optimization algorithm yielded the best parameters of c = 0.8343, g = 57.8741, with corresponding model training set the accuracy of 96.36% (60/61) and test set the accuracy of 95.00% (20/21). Therefore, developing a seed origin classification model for C. nutans based on NIR spectroscopy combined with chemometrics is feasible and has the advantages of being simple, rapid, and green.展开更多
A quantitative evaluation method for the quality consistency of Bupleurum chinense DC. was developed by combining multiwavelength fusion fingerprint with chemometric methods. The fingerprint information of Bupleurum a...A quantitative evaluation method for the quality consistency of Bupleurum chinense DC. was developed by combining multiwavelength fusion fingerprint with chemometric methods. The fingerprint information of Bupleurum at five wavelengths (210, 254, 265, 280 and 320 nm) collected by HPLC-DAD instrument was fused to overall control its quality. The fusion fingerprints and four components (saikosaponin a, saikosaponin d, rutin, quercitrin) were studied by systematic quantitative fingerprint method and principal component analysis, respectively. Besides, fingerprint-efficacy relationship was constructed in vitro using partial least-squares model. In conclusion, all work can serve as a valid reference for the quality control of Bupleurum .展开更多
Saposhnikovia divaricata(SD)has high medicinal and edible value,but relatively little research has been done on its qual-ity markers(Q-markers).To further clarify the Q-markers of SD with their corresponding pharmacod...Saposhnikovia divaricata(SD)has high medicinal and edible value,but relatively little research has been done on its qual-ity markers(Q-markers).To further clarify the Q-markers of SD with their corresponding pharmacodynamic targets.In this experiment,14 batches of SD were identified and screened for Q-marker candidate components using a combination of HPLC fingerprint with similarity analysis,principal component analysis,hierarchical cluster analysis,and partial least squares discriminant analysis.Then,network pharmacology was used to predict Q-markers and core targets.The results showed that 5-O-methylvisammioside,cimifugin,and prim-O-glucosylcimifugin could be used as Q-markers of SD;while,MAPK1,MAPK3,PIK3CA,JUN,and MAPK8 were the core targets of SD for drug efficacy.To further evaluate the bind-ing efficiency of Q-markers,molecular docking of the main active ingredients of SD to the core targets was performed.The results showed that the compounds bind well to their targets,and binding energies were all less than-5 kcal/mol.The Q-markers obtained from the screening were closely related to the core target genes,which could achieve therapeutic effects by modulating the relevant signaling pathways.This study offers a reference for the establishment of a set of quality control evaluation system for SD potential Q-markers prediction analysis,and lays the foundation for elucidating the mechanism of actionunderlying itspharmacodynamic substance.展开更多
Objective: This paper focused on the geographical discrimination of Cyclocarya paliurus tea for origin traceability based on multielement analysis by ICP-OES and chemometrics multivariate.Methods: In this study, eleve...Objective: This paper focused on the geographical discrimination of Cyclocarya paliurus tea for origin traceability based on multielement analysis by ICP-OES and chemometrics multivariate.Methods: In this study, eleven trace element concentrations were determined by ICP-OES and processed by multivariate statistical analysis.Results: Based on ANOVA, the mean concentrations of 10 elements except Co differed significantly among six origins. Pearson’s correlation analysis showed that 11 pairs of elements have a positive significant correlation and 12 pairs have a negative significant correlation. The geographical origins were effectively differentiated using the eleven elements combined with PCA. And the S-LDA model offered a 100%differentiation rate.Conclusion: The overall results suggested that the combination of multielement analysis by ICP-OES and chemometrics multivariate could trace the geographical origins of tea. And the paper can provide reference for quality control and quality evaluation of C. paliurus in the future.展开更多
Objective: To observe the effect of different processing methods on the quality of Codonopsis Radix and provide data reference for the reasonable processing in the producing areas.Methods: An analytical strategy that ...Objective: To observe the effect of different processing methods on the quality of Codonopsis Radix and provide data reference for the reasonable processing in the producing areas.Methods: An analytical strategy that combined quantitative and HPLC fingerprint analysis with chemometrics was developed for the quality evaluation of Codonopsis Radix. Lobetyolin, polysaccharide, sucrose,glucose, and fructose were detected simultaneously in Codonopsis Radix samples treated with different processing methods including dryer-drying, sun-drying, shade-drying, sulfur fumigation, and kneading,etc.Results: The results showed that different processing methods had an obvious impact on the quality of Codonopsis Radix. Sun-drying or shade-drying was recommended, and sulfur fumigation should be avoided. And dryer-drying at 40 °C-50 °C was suggested to meet the requirement for large scale processing. In addition, based on the content of polysaccharide, glucose, and fructose, it was advised to knead for three times. As for lobetyolin and sucrose, kneading should be avoided.Conclusions: Our findings demonstrated that processing method had a big impact on the quality of Codonopsis Radix. Based on the results, the appropriate processing methods directed at different requirements were recommended. The study could lay a foundation for the reasonable processing of Codonopsis Radix in producing areas.展开更多
Objective To evaluate the quality of Psoralea corylifolia collected from 12 provinces of China. Methods An HPLC-DAD-MS/MS method was used to identify, determine, and estimate 14 representative bioactive compounds in P...Objective To evaluate the quality of Psoralea corylifolia collected from 12 provinces of China. Methods An HPLC-DAD-MS/MS method was used to identify, determine, and estimate 14 representative bioactive compounds in P. corylifolia. Then on the basis of the content data, the chemometrics method was used to differentiate 20 samples from different regions. Results The quality of P. corylifolia from 12 different provinces of China was evaluated by this method. Though the samples showed similar profiles, content of the detected markers varied significantly in different regions and batches. According to the results of the hierarchical cluster analysis and principle component analysis, it can be concluded that the samples from different origins could be clustered reasonably into two groups, as well as successfully distinguished. Conclusion A simple and reliable new method which used HPLC-DAD-MS/MS and chemometrics has been developed to characterize, classify, and control the quality of P. corylifolia.展开更多
Some aspects of recent developments in analytical chemometrics are discussed, in par- ticular the developments viewed from the angle of the research efforts undertaken in authors’ labora- tories. The topics concerned...Some aspects of recent developments in analytical chemometrics are discussed, in par- ticular the developments viewed from the angle of the research efforts undertaken in authors’ labora- tories. The topics concerned include resolution of high-order chemical data, morphological theory and methodology for chemical signal processing, multivariate calibration and chemical pattern recognition for solving complex chemical problems, and resolution of two-way chemical data from hyphenated chromatographic instruments.展开更多
Development of chromatographic fingerprinting and its related chemometric methods in the research of quality control of traditional Chinese medicines(TCMs) are discussed. The quality control methods for guarantying th...Development of chromatographic fingerprinting and its related chemometric methods in the research of quality control of traditional Chinese medicines(TCMs) are discussed. The quality control methods for guarantying the authentication and stability of products and semi-products of TCMs are firstly assessed. The technique based on chromatographic fingerprinting is essentially a kind of high-through put and integral tools to explore the complexity of herbal medicines. In order to further control the comprehensive quality of TCMs,confirmation and identification of their important chemical components are necessary. Some new strategies are proposed to trace the chemical changes of chromatographic fingerprints both in product processing and/or after their administration by modern chromatographic techniques and chemometrics. Combined with systems biology and bioinformatics,it seems possible for one to reveal the working mechanism of TCMs and to further control their intrinsic quality comprehensively.展开更多
There are two source plants for the traditional Chinese medicine Murrayae Folium et Cacumen(MFC)in Chinese Pharmacopoeia,i.e.Murraya exotica L.and M.paniculata(L.)Jack.Herein,a chemical comparison of M.exotica and M.p...There are two source plants for the traditional Chinese medicine Murrayae Folium et Cacumen(MFC)in Chinese Pharmacopoeia,i.e.Murraya exotica L.and M.paniculata(L.)Jack.Herein,a chemical comparison of M.exotica and M.paniculata by high performance liquid chromatography(HPLC)fingerprint analysis coupled with chemometrics and network pharmacology was performed.The main peaks in the fingerprints were identified by liquid chromatography coupled with ion trap/time-of-flight mass spectrometry(LC-IT-TOF-MS)and authenticated by references.The chemometrics results showed that the HPLC fingerprints of these two species were clearly divided into two categories using hierarchical cluster analysis(HCA)and principal component analysis(PCA),and a total of 13 significantly differentiated markers were screened out by orthogonal partial least squares-discriminant analysis(OPLS-DA).However,the following network pharmacology analysis showed that these discriminated markers were found to act via many common targets and metabolic pathways,indicating the possibly similar pharmacological effects and mechanisms for M.exotica and M.paniculata.The above results provide valuable evidence for the equivalent use of these two plants in clinical settings.Moreover,the chromatographic fingerprint analysis coupled with chemometrics and network pharmacology supplies an efficient approach for the comparative analysis of multi-source TCMs like MFC.展开更多
A kinetic spectrophotometric method with aid of chemometrics is proposed for the simultaneous determination of norfloxacin and rifampicin in mixtures. The proposed method was applied for the simultaneous determination...A kinetic spectrophotometric method with aid of chemometrics is proposed for the simultaneous determination of norfloxacin and rifampicin in mixtures. The proposed method was applied for the simultaneous determination of these two compounds in pharmaceutical formulation and human urine samples,and the results obtained are similar to those obtained by high performance liquid chromatography.展开更多
基金This work was supported by the Scientific Research Foundation for High Level Talents of Qingdao Agricultural University,China(665-1120015)the National Program for Quality and Safety Risk Assessment of Agricultural Products of China(GJFP2019011)the National Natural Science Foundation of China(42207017).
文摘Winter jujube(Ziziphus jujuba'Dongzao')is greatly appreciated by consumers for its excellent quality,but brand infringement frequently occurs in the market.Here,we first determined a total of 38 elements in 167 winter jujube samples from the main winter jujube producing areas of China by inductively coupled plasma mass spectrometer(ICP-MS).As a result,16 elements(Mg,K,Mn,Cu,Zn,Mo,Ba,Be,As,Se,Cd,Sb,Ce,Er,Tl,and Pb)exhibited significant differences in samples from different producing areas.Supervised linear discriminant analysis(LDA)and orthogonal projection to latent structures discriminant analysis(OPLS-DA)showed better performance in identifying the origin of samples than unsupervised principal component analysis(PCA).LDA and OPLS-DA had a mean identification accuracy of 87.84 and 94.64%in the testing set,respectively.By using the multilayer perceptron(MLP)and C5.0,the prediction accuracy of the models could reach 96.36 and 91.06%,respectively.Based on the above four chemometric methods,Cd,Tl,Mo and Se were selected as the main variables and principal markers for the origin identification of winter jujube.Overall,this study demonstrates that it is practical and precise to identify the origin of winter jujube through multi-element fingerprint analysis with chemometrics,and may also provide reference for establishing the origin traceability system of other fruits.
基金the financial support for this study by the National Natural Science Foundation of China(No.NSFC20562009)the Jiangxi Province Natural Science Foundation(No.JXNSF0620041)the State Key Laboratory of Food Science and Technology of Nanchang University(Nos.SKLF-MB200807 and SKLF-TS200819)
文摘High performance liquid chromatographic(HPLC) fingerprints of Cassia seed,a traditional Chinese medicine(TCM),were developed by means of the chromatograms at two wavelengths of 238 and 282 nm.Then,the two data sets were combined into one matrix.The application of principal component analysis(PCA) for this data matrix showed that the samples were clustered into four groups in accordance with the plant sources and preparation procedures.Furthermore,partial least squares(PLS),back propagation artificial neu...
基金The study was supported by the Key Research and Development Program of Jiangsu Province(BE2020312)National Natural Science Foundation of China(31671844)+2 种基金Open Project of National Engineering Laboratory for Agri-product Quality Traceability(AQT-2019-YB7)Science Foundation for Postdoctoral in Jiangsu Province(1501100C)Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD).
文摘To objectively classify and evaluate the strong aroma base liquors(SABLs)of different grades,solid-phase microextraction-mass spectrometry(SPME-MS)combined with chemometrics were used.Results showed that SPME-MS combined with a back-propagation artificial neural network(BPANN)method yielded almost the same recognition performance compared to linear discriminant analysis(LDA)in distinguishing different grades of SABL,with 84%recognition rate for the test set.Partial least squares(PLS),successive projection algorithm partial least squares(SPA-PLS)model,and competitive adaptive reweighed samplingpartial least squares(CARS-PLS)were established for the prediction of the four esters in the SABL.CARS-PLS model showed a greater advantage in the quantitative analysis of ethyl acetate,ethyl butyrate,ethyl caproate,and ethyl lactate.These results corroborated the hypothesis that SPME-MS combined with chemometrics can effectively achieve an accurate determination of different grades of SABL and prediction performance of esters.
基金The authors thank the Italian Ministry of Health for funding this research(Progetto Ricerca Finalizzata PE-2011-02347026).
文摘In this work,functionalized carbon nanotubes(CNTs)using two polyamine polymers,polyethyleneimine(PEI)and polyamidoamine dendrimer(PAMAM),were investigated by thermal analysis in order to address preparation strategies to obtain low cytotoxic compounds with the ability to conjugate micro-RNAs and,at the same time,to transfect efficiently endothelial cells.Thermogravimetric analysis(TGA)was coupled to chemometrics as a novel analytical strategy to characterize functionalized CNTs from different preparation conditions.In particular,two starting materials were considered:very small CNTs and carboxylated CNTs(CNT-COOH)in order to examine the affinity with polymers.Chemometrics permitted to compare results from TGA and to investigate the effect of a number of factors affecting the synthesis of coated nanotubes including a different amount of involved polymer and the time required for the suspension for a satisfactory and reproducible preparation procedure.The results demonstrated the effectiveness of TGA as a tool able to address synthesis of coated CNTs to be employed as efficient drug delivery vectors in biomedical applications.
基金supported by Liaoning Province Natural Science Foundation(Grant No.:2021-MS-220).
文摘In order to better control the quality of Flos Puerariae(FP),qualitative and quantitative analyses were initially performed by using chemical fingerprint and chemometrics methods in this study.First,the fingerprint of FP was developed by HPLC and the chemical markers were screened out by similarity analysis(SA),hierarchical clustering analysis(HCA),principal components analysis(PCA),and orthogonal partial least squares discriminant analysis(OPLS-DA).Next,the chemical constituents in FP were profiled and identified by HPLC coupled to Fourier transform ion cyclotron resonance mass spectrometry(HPLCFT-ICR MS).Then,the characteristic constituents in FP were quantitatively analyzed by HPLC.As a result,31 common peaks were assigned in the fingerprint and 6 of them were considered as qualitative markers.A total of 35 chemical constituents were detected by HPLC-FT-ICR MS and 16 of them were unambiguously identified by comparing retention time,UV absorption wavelength,accurate mass,and MS/MS data with those of reference standards.Subsequently,the contents of glycitin,genistin,tectoridin,glycitein,genistein,and tectorigenin in 13 batches of FP were detected,ranging from 0.4438 to 11.06 mg/g,0.955 to 1.726 mg/g,9.81 to 57.22 mg/g,3.349 to 41.60 mg/g,0.3576 to 0.989 mg/g,and 2.126 to 9.99 mg/g,respectively.In conclusion,fingerprint analysis in combination with chemometrics methods could discover chemical markers for improving the quality control standard of FP.It is expected that the strategy applied in this study will be valuable for further quality control of other traditional Chinese medicines.
基金Supported by the National Natural Science Foundation of PRC.
文摘Some aspects of the fundamental problems of chemometrics are reviewed based on the research work undertaken in this laboratory. The topics touched upon Include analytical information theory, experimental design and optimization, sampling, analytical detection theory, calibration, signal processing, chemical pattern recognition, quantitative structure-activity relationships, digital simulation, and teaching chemometrics as a chemical discipline.
文摘Cheddar and Kefalotyri cheese belong to the category of hard cheeses.Cheddar has an English origin,while Kefalotyri is a traditional cheese in Greece and a well-consumed dairy product in Cyprus.Discrimination of dairy products can be determined through several chemical methods.The aim of this study was to discriminate the samples of Cheddar and Kefalotyri cheese by analyzing various samples,from different brands.Two spectroscopic techniques namely proton nuclear magnetic resonance(1H-NMR)and Fourier-transformed infrared(FTIR)spectroscopy were chosen in order to chemically characterise the samples.The first step of the methodology was the freeze-drying process for lyophilisation of the samples.The number of samples reached 28,including 14 Cheddar samples and 14 samples of Kefalotyri cheese.After that,measurements for each sample have been obtained by FTIR(%transmittance-wavenumber in cm^-1)and ^1H-NMR(signal intensity-chemical shift in ppm)techniques.The data were analysed using SIMCA software.The proposed techniques along with chemometrics allow the discrimination of those two types of cheese.Both techniques employed are of significant importance,since they provide information about good classification of the samples when they are combined together.Interpretation of results and classification by using chemometric methods confirmed the different recipe of the two types of cheese.This study is the initial step of the future work.Future research will focus on discrimination based on the species’origin of milk of these and other cheese samples.
文摘We used both correlation and covariance-principal component analysis (PCA) to classify the same absorption-reflectance data collected from 13 different polymeric fabric materials that was obtained using Attenuated Total Reflectance-Fourier Transform Infrared spectroscopy (ATR-FTIR). The application of the two techniques, though similar, yielded results that represent different chemical properties of the polymeric substances. On one hand, correlation-PCA enabled the classification of the fabric materials according to the organic functional groups of their repeating monomer units. On the other hand, covariance-PCA was used to classify the fabric materials primarily according to their origins;natural (animal or plant) or synthetic. Hence besides major chemical functional groups of the repeat units, it appears covariance-PCA is also sensitive to other characteristic chemical (inorganic and/or organic) or biochemical material inclusions that are found in different samples. We therefore recommend the application of both covariance-PCA and correlation-PCA on datasets, whenever applicable, to enable a broader classification of spectroscopic information through data mining and exploration.
文摘In this study, a seed origin discrimination model for Clinacanthus nutans was developed. First, 81 C. nutans samples from three seed origin locations were collected, and their Near-Infrared (NIR) spectra were obtained. Next, Principal Component Analysis (PCA) was performed on the NIR spectra of the 81 C. nutans samples. Then, MSC (multiplicative scatter correction), SNV (standard normal variate), first derivative, and second derivative pre-treatments of the C. nutans spectra were performed and combined with the Support Vector Machine (SVM) algorithm for modelling and analysis. Among these methods, first-order derivative pre-treatment achieved the best SVM model effectiveness, with a training set accuracy of 93.44% (57/61) and a test set accuracy of 85.00% (17/20). In order to further improve the discrimination accuracy of the model, three optimization algorithms Grid Search (GS), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO) were employed to identify the best c and g parameters for the SVM model. The results demonstrated that the PSO optimization algorithm yielded the best parameters of c = 0.8343, g = 57.8741, with corresponding model training set the accuracy of 96.36% (60/61) and test set the accuracy of 95.00% (20/21). Therefore, developing a seed origin classification model for C. nutans based on NIR spectroscopy combined with chemometrics is feasible and has the advantages of being simple, rapid, and green.
基金the National Natural Science Foundation of China (Accession no. 81573586, 90612002).
文摘A quantitative evaluation method for the quality consistency of Bupleurum chinense DC. was developed by combining multiwavelength fusion fingerprint with chemometric methods. The fingerprint information of Bupleurum at five wavelengths (210, 254, 265, 280 and 320 nm) collected by HPLC-DAD instrument was fused to overall control its quality. The fusion fingerprints and four components (saikosaponin a, saikosaponin d, rutin, quercitrin) were studied by systematic quantitative fingerprint method and principal component analysis, respectively. Besides, fingerprint-efficacy relationship was constructed in vitro using partial least-squares model. In conclusion, all work can serve as a valid reference for the quality control of Bupleurum .
基金funded by Fundamental Research Funds for the Central Universities(2572022DJ01)Natural Science Foundation of Heilongjiang Province(LH2022B004)+1 种基金111 Project(B20088)Heilongjiang Touyan Innovation Team Program(Tree Genetics and Breeding Innovation Team).
文摘Saposhnikovia divaricata(SD)has high medicinal and edible value,but relatively little research has been done on its qual-ity markers(Q-markers).To further clarify the Q-markers of SD with their corresponding pharmacodynamic targets.In this experiment,14 batches of SD were identified and screened for Q-marker candidate components using a combination of HPLC fingerprint with similarity analysis,principal component analysis,hierarchical cluster analysis,and partial least squares discriminant analysis.Then,network pharmacology was used to predict Q-markers and core targets.The results showed that 5-O-methylvisammioside,cimifugin,and prim-O-glucosylcimifugin could be used as Q-markers of SD;while,MAPK1,MAPK3,PIK3CA,JUN,and MAPK8 were the core targets of SD for drug efficacy.To further evaluate the bind-ing efficiency of Q-markers,molecular docking of the main active ingredients of SD to the core targets was performed.The results showed that the compounds bind well to their targets,and binding energies were all less than-5 kcal/mol.The Q-markers obtained from the screening were closely related to the core target genes,which could achieve therapeutic effects by modulating the relevant signaling pathways.This study offers a reference for the establishment of a set of quality control evaluation system for SD potential Q-markers prediction analysis,and lays the foundation for elucidating the mechanism of actionunderlying itspharmacodynamic substance.
基金supported by the National Natural Science Foundation of China(No.81360631)Project of the Key Research and Development Program for Jiangxi Province(No.20203BBGL73218)。
文摘Objective: This paper focused on the geographical discrimination of Cyclocarya paliurus tea for origin traceability based on multielement analysis by ICP-OES and chemometrics multivariate.Methods: In this study, eleven trace element concentrations were determined by ICP-OES and processed by multivariate statistical analysis.Results: Based on ANOVA, the mean concentrations of 10 elements except Co differed significantly among six origins. Pearson’s correlation analysis showed that 11 pairs of elements have a positive significant correlation and 12 pairs have a negative significant correlation. The geographical origins were effectively differentiated using the eleven elements combined with PCA. And the S-LDA model offered a 100%differentiation rate.Conclusion: The overall results suggested that the combination of multielement analysis by ICP-OES and chemometrics multivariate could trace the geographical origins of tea. And the paper can provide reference for quality control and quality evaluation of C. paliurus in the future.
基金supported by the Project of Beijing Municipal Science & Technology Commission (No. Z161100000116101)CAMS Initiative for Innovative Medicine (CAMS-I2M-1-010)
文摘Objective: To observe the effect of different processing methods on the quality of Codonopsis Radix and provide data reference for the reasonable processing in the producing areas.Methods: An analytical strategy that combined quantitative and HPLC fingerprint analysis with chemometrics was developed for the quality evaluation of Codonopsis Radix. Lobetyolin, polysaccharide, sucrose,glucose, and fructose were detected simultaneously in Codonopsis Radix samples treated with different processing methods including dryer-drying, sun-drying, shade-drying, sulfur fumigation, and kneading,etc.Results: The results showed that different processing methods had an obvious impact on the quality of Codonopsis Radix. Sun-drying or shade-drying was recommended, and sulfur fumigation should be avoided. And dryer-drying at 40 °C-50 °C was suggested to meet the requirement for large scale processing. In addition, based on the content of polysaccharide, glucose, and fructose, it was advised to knead for three times. As for lobetyolin and sucrose, kneading should be avoided.Conclusions: Our findings demonstrated that processing method had a big impact on the quality of Codonopsis Radix. Based on the results, the appropriate processing methods directed at different requirements were recommended. The study could lay a foundation for the reasonable processing of Codonopsis Radix in producing areas.
基金Ministry of Science and Technology of China (No 973: 2005CB523404)
文摘Objective To evaluate the quality of Psoralea corylifolia collected from 12 provinces of China. Methods An HPLC-DAD-MS/MS method was used to identify, determine, and estimate 14 representative bioactive compounds in P. corylifolia. Then on the basis of the content data, the chemometrics method was used to differentiate 20 samples from different regions. Results The quality of P. corylifolia from 12 different provinces of China was evaluated by this method. Though the samples showed similar profiles, content of the detected markers varied significantly in different regions and batches. According to the results of the hierarchical cluster analysis and principle component analysis, it can be concluded that the samples from different origins could be clustered reasonably into two groups, as well as successfully distinguished. Conclusion A simple and reliable new method which used HPLC-DAD-MS/MS and chemometrics has been developed to characterize, classify, and control the quality of P. corylifolia.
基金Some work reviewed in this article was supported by the National Natural Science Foundation of China (Grant Nos. 20375012 & 20435010).
文摘Some aspects of recent developments in analytical chemometrics are discussed, in par- ticular the developments viewed from the angle of the research efforts undertaken in authors’ labora- tories. The topics concerned include resolution of high-order chemical data, morphological theory and methodology for chemical signal processing, multivariate calibration and chemical pattern recognition for solving complex chemical problems, and resolution of two-way chemical data from hyphenated chromatographic instruments.
基金Supported by the National Natural Science Foundation China (Grant Nos. 20475066 and 10771217)the International Cooperation Project on Traditional Chinese Medicines of Ministry of Science and Technology of China (Grant Nos. 2006DFA41090 and 2007DFA40680)
文摘Development of chromatographic fingerprinting and its related chemometric methods in the research of quality control of traditional Chinese medicines(TCMs) are discussed. The quality control methods for guarantying the authentication and stability of products and semi-products of TCMs are firstly assessed. The technique based on chromatographic fingerprinting is essentially a kind of high-through put and integral tools to explore the complexity of herbal medicines. In order to further control the comprehensive quality of TCMs,confirmation and identification of their important chemical components are necessary. Some new strategies are proposed to trace the chemical changes of chromatographic fingerprints both in product processing and/or after their administration by modern chromatographic techniques and chemometrics. Combined with systems biology and bioinformatics,it seems possible for one to reveal the working mechanism of TCMs and to further control their intrinsic quality comprehensively.
基金supported by the National Natural Sciences Foundation of China(Nos.81773864,81973199,and81473106)the National Key Research and Development Project(No.2019YFC1711000)。
文摘There are two source plants for the traditional Chinese medicine Murrayae Folium et Cacumen(MFC)in Chinese Pharmacopoeia,i.e.Murraya exotica L.and M.paniculata(L.)Jack.Herein,a chemical comparison of M.exotica and M.paniculata by high performance liquid chromatography(HPLC)fingerprint analysis coupled with chemometrics and network pharmacology was performed.The main peaks in the fingerprints were identified by liquid chromatography coupled with ion trap/time-of-flight mass spectrometry(LC-IT-TOF-MS)and authenticated by references.The chemometrics results showed that the HPLC fingerprints of these two species were clearly divided into two categories using hierarchical cluster analysis(HCA)and principal component analysis(PCA),and a total of 13 significantly differentiated markers were screened out by orthogonal partial least squares-discriminant analysis(OPLS-DA).However,the following network pharmacology analysis showed that these discriminated markers were found to act via many common targets and metabolic pathways,indicating the possibly similar pharmacological effects and mechanisms for M.exotica and M.paniculata.The above results provide valuable evidence for the equivalent use of these two plants in clinical settings.Moreover,the chromatographic fingerprint analysis coupled with chemometrics and network pharmacology supplies an efficient approach for the comparative analysis of multi-source TCMs like MFC.
基金Supported by the National Natural Science Foundation of China (Grant No. 20562009)Opening Fund from the State Key Lab of Chemo/Biosensing and Chemometrics (Hunan University) (Grant No. 2005-22)+1 种基金Jiangxi Province Natural Science Foundation (Grant No. 0620041)Program for Changjiang Scholars and Innovative Research Team in Universities (Grant No. IRT0540)
文摘A kinetic spectrophotometric method with aid of chemometrics is proposed for the simultaneous determination of norfloxacin and rifampicin in mixtures. The proposed method was applied for the simultaneous determination of these two compounds in pharmaceutical formulation and human urine samples,and the results obtained are similar to those obtained by high performance liquid chromatography.
