Identification of Dalbergia odorifera and Its Counterfeits by HS-GC-MS / 中国实验方剂学杂志

ObjectiveTo screen the differential markers by analyzing volatile components in Dalbergia odorifera and its counterfeits， in order to provide reference for authentication of D. odorifera. MethodThe volatile components in D. odorifera and its counterfeits were detected by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and the GC conditions were heated by procedure（the initial temperature of the column was 50 ℃， the retention time was 1 min， and then the temperature was raised to 300 ℃ at 10 ℃ for 10 min）， the carrier gas was helium， and the flow rate was 1.0 mL·min-1， the split ratio was 10∶1， and the injection volume was 1 mL. The MS conditions used electron bombardment ionization（EI） with the scanning range of m/z 35-550. The compound species were identified by database matching， the relative content of each component was calculated by the peak area normalization method， and principal component analysis（PCA）， orthogonal partial least squares-discrimination analysis（OPLS-DA） and cluster analysis were performed on the detection results by SIMCA 14.1 software， and the differential components of D. odorifera and its counterfeits were screened out according to the variable importance in the projection（VIP） value>2 and P<0.05. ResultA total of 26， 17， 8， 22， 24 and 7 volatile components were identified from D. odorifera， D. bariensis， D. latifolia， D. benthamii， D. pinnata and D. cochinchinensis， respectively. Among them， there were 11 unique volatile components of D. odorifera， 6 unique volatile components of D. bariensis， 3 unique volatile components of D. latifolia， 6 unique volatile components of D. benthamii， 8 unique volatile components of D. pinnata， 4 unique volatile components of D. cochinchinensis. The PCA results showed that， except for D. latifolia and D. cochinchinensis， which could not be clearly distinguished， D. odorifera and other counterfeits could be distributed in a certain area， respectively. The OPLS-DA results showed that D. odorifera and its five counterfeits were clustered into one group each， indicating significant differences in volatile components between D. odorifera and its counterfeits. Finally， a total of 31 differential markers of volatile components between D. odoriferae and its counterfeits were screened. ConclusionHS-GC-MS combined with SIMCA 14.1 software can systematically elucidate the volatile differential components between D. odorifera and its counterfeits， which is suitable for rapid identification of them.

Identification of Dalbergiae Odoriferae Lignum and Its Counterfeits by 1H-NMR Combined with Multivariate Statistical Analysis / 中国实验方剂学杂志

ObjectiveTo establish the identification method of Dalbergiae Odoriferae Lignum（DOL） and its counterfeits by nuclear magnetic resonance hydrogen spectrum（1H-NMR） combined with multivariate statistical analysis. Method1H-NMR spectra of DOL and its counterfeits were obtained by NMR， and the full composition information was established and transformed into a data matrix， and the detection conditions were as follows：taking dimethyl sulfoxide-d6（DMSO-d6） containing 0.03% tetramethylsilane（TMS） as the solvent， the constant temperature at 298 K（1 K=-272.15 ℃）， pulse interval of 1.00 s， spectrum width of 12 019.23 Hz， the scanning number of 16 times， and the sampling time of 1.08 s. Similarity examination and hierarchical cluster analysis（HCA） were performed on the data matrix of DOL and its counterfeits， and orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to analyze the data matrix and identify the differential components between them. In the established OPLS-DA category variable value model， the category variable value of DOL was set as 1， and the category variable value of the counterfeits was set as 0， and the threshold was set as ±0.3， in order to identify the commercially available DOL. The OPLS-DA score plot was used to determine the types of counterfeits in commercially available DOL， and it was verified by thin layer chromatography（TLC）. ResultThe results of similarity analysis and HCA showed that there was a significant difference between DOL and its counterfeits. OPLS-DA found that the differential component between DOL and its counterfeits was trans-nerolidol. The established category variable value model could successfully identify the authenticity of the commercially available DOL. The results of the OPLS-DA score plot showed that there were heartwood of Dalbergia pinnata and D. cochinchinensis in the commercially available DOL， and were consistent with the TLC verification results. ConclusionThere is a phenomenon that heartwood of D. pinnata and D. cochinchinensis are sold as DOL in the market. 1H-NMR combined with multivariate statistical analysis can effectively distinguish DOL and its counterfeits， which can provide a reference for the identification of them.

Comparison of Effect of Ancient and Modern Processing Methods on Chemical Components of Lilii Bulbus Decoction Based on UHPLC-Q-Orbitrap HRMS / 中国实验方剂学杂志

ObjectiveTo compare the effects of different processing methods in ancient and modern times on the chemical components of Lilii Bulbus decoction， and to provide experimental support for the origin processing， decoction piece processing and clinical application of this herb. MethodUltra high performance liquid chromatography tandem quadrupole electrostatic field orbitrap high resolution mass spectrometry（UHPLC-Q-Orbitrap HRMS） was used for structural identification of the compounds using excimer ions， secondary MS and characteristic fragment ions， and referring to relevant literature and database information. Principal component analysis（PCA） and orthogonal partial least squares discriminant analysis（OPLS-DA） were used to screen the main differential components， the differential components were quantitatively studied by high performance liquid chromatography（HPLC）， in order to compare the types and contents of chemical components in the decoction of different processing products of Lilii Bulbus. ResultA total of 24 chemical components were identified from the decoction of different processed products of Lilii Bulbus， water extract and scalding liquid of fresh Lilii Bulbus， including 17 phenols， 5 saponins and 2 alkaloids. Compared with the fresh Lilii Bulbus decoction， the contents of regaloside A， p-coumaric acid， colchicine and other components in the decoction of dry Lilii Bulbus processed by scalding method decreased， the content of regaloside C in the decoction of dry Lilii Bulbus processed by steaming method decreased， and the contents of regaloside A and regaloside C in the decoction of fresh Lilii Bulbus processed by water immersion also decreased. Compared with the decoction of dry Lilii Bulbus processed by scalding method， the overall content of components in the fresh Lilii Bulbus decoction and the decoction of fresh Lilii Bulbus processed by water immersion was higher， the contents of components in the decoction of dry Lilii Bulbus processed by steaming method was higher， except for the slightly lower content of regaloside C. ConclusionDifferent processing processes have a certain effect on the types and contents of chemical components in Lilii Bulbus decoction. Scalding process is beneficial to the preservation of Lilii Bulbus， but can cause the loss of effective components. Compared with scalding method， steaming method can prevent browning of Lilii Bulbus and reduce the loss of its active ingredients. The processing method of removing foam after overnight immersion proposed by ZHANG Zhongjing may be more conducive to the treatment of Baihe disease， which can provide reference for the clinical rational application and mechanism research of different processed products of Lilii Bulbus.

Explanation of Scientific Connotation of Euodiae Fructus Stir-fried with Coptidis Rhizoma Based on UPLC-Q-TOF/MS and Pattern Recognition Technology / 中国实验方剂学杂志

ObjectiveTo analyze changes of the chemical composition in Euodiae Fructus before and after processing with Coptidis Rhizoma decoction， so as to provide scientific basis for elucidating the processing mechanism of this decoction pieces. MethodUltra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF/MS） was performed on a Titank C18 column （2.1 mm×100 mm， 1.8 μm）， the mobile phase was 0.1% formic acid aqueous solution-acetonitrile for gradient elution， the column temperature was set at 40 ℃， the flow rate was 0.25 mL·min-1. Electrospray ionization （ESI） was used to scan in positive and negative ion modes， and the scanning range was m/z 50-1 250. The chemical constituents in Euodiae Fructus were identified before and after processing by reference substance comparison， database matching and literature reference， and MarkerView™ 1.2.1 software was used to normalize the obtained data， SIMCA-P 14.1 software was employed to perform principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） on MS data of raw and processed products to screen the differential components before and after processing. ResultA total of 50 compounds were identified， including 48 kinds of stir-fried products with Coptidis Rhizoma decoction and 44 kinds of raw products. After processing， six compounds were added， including danshensu， noroxyhydrastinine， oxyberberine， 13-methylberberrubine， protopine and canadine. However， two kinds of compounds， including （S）-7-hydroxysecorutaecarpine and wuchuyuamide Ⅱ， were not detected after processing. In general， after processing， the overall contents of phenolic acids and flavonoids decreased significantly， the overall content of limonoids increased， and the overall content of alkaloids did not decrease insignificantly. The results of PCA and OPLS-DA showed that there were significant differences in the composition and content of the chemical components of Euodiae Fructus before and after processing， and a total of 12 variables such as quercetin， dihydrorutaecarpine and dehydroevodiamine were obtained by screening. ConclusionEuodiae Fructus stir-fried with Coptidis Rhizoma decoction mainly contains phenolic acids， flavonoids， limonoids and alkaloids. The composition and content of the chemical components have some changes before and after processing. The addition of processing excipients and hot water immersion are the main reasons for the difference， which can provide experimental basis for interpretation of the processing mechanism of this characteristic processed products of Euodiae Fructus.

Comparison on Changes of Volatile Components in Gecko Before and After Processing by HS-SPME-GC-MS / 中国实验方剂学杂志

ObjectiveOn the basis of sensory evaluation， the changes of volatile components in gecko before and after processing were compared， and the odor correction effect of different processing methods of gecko was discussed. MethodRaw products， fried yellow products， vinegar processed products， wine processed products， talcum powder scalding products and white wine sprayed products after scalding talcum powder of gecko were prepared， and 10 odor assessors were invited to evaluate the 6 samples in turn by sensory evaluation. Headspace solid-phase microextraction-gas chromatography-mass spectrometry （HS-SPME-GC-MS） and relative odor activity value （ROAV） were used to analyze the key odor components， and multivariate statistical methods were used to analyze the difference of volatile components between raw and processed products of gecko. Taking water-soluble extract and protein contents as internal indicators， sensory evaluation score and content ranking of differential components as external indicators， and assigning a weight of 0.25 to them respectively， the comprehensive scores of raw products and processed products of gecko were calculated to evaluate the odor correction effect of each processing method. ResultThe average sensory evaluation scores of the raw products， fried yellow products， vinegar processed products， wine processed products， talcum powder scalding products and white wine sprayed products after scalding talcum powder of gecko were 1.6， 5.2， 6.2， 6.1， 7.2 and 8.0， respectively. ROAV results showed that key components affecting odor of gecko were 2-ethyl-3，5-dimethylpyrazine， isovaleraldehyde， trimethylamine， 1-octen-3-ol， n-octanal， nonanal， 2-methylnaphthalene， γ-octanolide， 2-heptanone and phenol. Principal component analysis （PCA） significantly distinguished raw products from processed products. Orthogonal partial least squares-discriminant analysis （OPLS-DA） results showed that there were 16， 13， 16， 16， 16 differential components between raw products， fried yellow products， vinegar processed products， wine processed products， talcum powder scalding products and white wine sprayed products after scalding talcum powder of gecko. Among these differential components， there were 4 common components， namely， the contents of different odor components （2-methylnaphthalene and 2-ethyl-p-xylene） decreased， while the contents of different flavor components （2-decanone and 2，3，5-trimethylpyrazine） increased. The comprehensive scoring results showed that the odor correction effect of each processed products was in the order of talcum powder scalding products>wine processed products>vinegar processed products>fried yellow products>white wine sprayed products after scalding talcum powder. ConclusionTalcum powder scalding is a better method to improve the odor of gecko， and it can provide an experimental basis for the processing of gecko to correct the odor.

Analysis of Terpenoids in Alismatis Rhizoma Before and After Processing with Salt-water Based on UPLC-Q-TOF-MS / 中国实验方剂学杂志

ObjectiveTo identify the chemical constituents of Alismatis Rhizoma before and after processing with salt-water by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF-MS）， and to investigate the changes of terpenoids in Alismatis Rhizoma before and after processing with salt-water. MethodUPLC-Q-TOF-MS was used to detect with 0.1% formic acid aqueous solution （A）-acetonitrile （B）as mobile phase for gradient elution （0-0.01 min， 20%B； 0.01-5 min， 20%-40%B； 5-40 min， 40%-95%B； 40-42 min， 95%B； 42-42.1 min， 95%-20%B； 42.1-45 min， 20%B）， electrospray ionization （ESI） was selected for collection and detection in positive ion mode with the scanning range of m/z 100-1 250 and ion source temperature at 500 ℃. The data were analyzed by PeakView 1.2.0.3， the components were identified according to the primary and secondary MS data， and combined with the reference substance and literature. After normalized treatment by MarkerView 1.2.1， the MS data were analyzed by principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA）， and then the differential components before and after processing were screened. The content changes of differential components were analyzed according to the relative peak area. ResultA total of 30 components were identified under positive ion mode， including 28 prototerpene triterpenes and 2 sesquiterpenes. The results of PCA and OPLS-DA showed that there were significant differences in components from Alismatis Rhizoma before and after processing with salt-water， and 10 differential components （alisol B 23-acetate， alisol I， alismol， 11-deoxy-alisol B 23-acetate， alisol B， alisol C， 11-deoxy-alisol B， alisol G， 11-deoxy-alisol C and alisol A） were screened， and the contents of alisol G and alisol A decreased significantly after processing. ConclusionUPLC-Q-TOF-MS can comprehensively and accurately identify the chemical constituents in raw and salt-processed products of Alismatis Rhizoma. It takes a great difference in the contents of chemical constituents before and after processing， and the difference of substituents is the main reason for this differences， which can provide reference for determining the material basis of efficacy changes of Alismatis Rhizoma before and after processing with salt-water.

Analysis of Terpenoids in Alismatis Rhizoma Before and After Processing with Salt-water Based on UPLC-Q-TOF-MS / 中国实验方剂学杂志

ObjectiveTo identify the chemical constituents of Alismatis Rhizoma before and after processing with salt-water by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF-MS）， and to investigate the changes of terpenoids in Alismatis Rhizoma before and after processing with salt-water. MethodUPLC-Q-TOF-MS was used to detect with 0.1% formic acid aqueous solution （A）-acetonitrile （B）as mobile phase for gradient elution （0-0.01 min， 20%B； 0.01-5 min， 20%-40%B； 5-40 min， 40%-95%B； 40-42 min， 95%B； 42-42.1 min， 95%-20%B； 42.1-45 min， 20%B）， electrospray ionization （ESI） was selected for collection and detection in positive ion mode with the scanning range of m/z 100-1 250 and ion source temperature at 500 ℃. The data were analyzed by PeakView 1.2.0.3， the components were identified according to the primary and secondary MS data， and combined with the reference substance and literature. After normalized treatment by MarkerView 1.2.1， the MS data were analyzed by principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA）， and then the differential components before and after processing were screened. The content changes of differential components were analyzed according to the relative peak area. ResultA total of 30 components were identified under positive ion mode， including 28 prototerpene triterpenes and 2 sesquiterpenes. The results of PCA and OPLS-DA showed that there were significant differences in components from Alismatis Rhizoma before and after processing with salt-water， and 10 differential components （alisol B 23-acetate， alisol I， alismol， 11-deoxy-alisol B 23-acetate， alisol B， alisol C， 11-deoxy-alisol B， alisol G， 11-deoxy-alisol C and alisol A） were screened， and the contents of alisol G and alisol A decreased significantly after processing. ConclusionUPLC-Q-TOF-MS can comprehensively and accurately identify the chemical constituents in raw and salt-processed products of Alismatis Rhizoma. It takes a great difference in the contents of chemical constituents before and after processing， and the difference of substituents is the main reason for this differences， which can provide reference for determining the material basis of efficacy changes of Alismatis Rhizoma before and after processing with salt-water.

Analysis on UPLC Fingerprint and Determination of Multi-index Components in Pipa Qingfeiyin / 中国实验方剂学杂志

Objective:To establish the ultraperformance liquid chromatography （UPLC） fingerprint of Pipa Qingfeiyin substance benchmark， and to establish a quantitative analysis method for simultaneous determination of the contents of five index components， so as to provide reference for the quality control and evaluation of this famous classical formula. Method:ACQUITY UPLC^® CSH^TM C₁₈ column （2.1 mm×100 mm， 1.7 μm） was used with mobile phase of acetonitrile （A）-0.1% formic acid aqueous solution （B） for gradient elution （0-7 min， 5%-7%A； 7-11 min， 7%-8%A； 11-22 min， 8%-14%A； 22-30 min， 14%-15%A； 30-35 min， 15%-25%A； 35-42 min， 25%-40%A； 42-45 min， 40%-50%A； 45-50 min， 50%-60%A）， the flow rate was 0.35 mL·min^-1， the column temperature was 25 ℃， the detection wavelengths were 278 nm and 248 nm. UPLC fingerprints of 15 batches of Pipa Qingfeiyin substance benchmark were established， and the "Similarity Evaluation System of Chromatographic Fingerprint of Traditional Chinese Medicine" software （2012 edition） was used for similarity analysis， and the common peaks were assigned. Cluster analysis （CA）， principal component analysis （PCA） and orthogonal partial least squares discriminant analysis （OPLS-DA） were used to evaluate the fingerprint data. UPLC fingerprint method was used to simultaneously determine the contents of five components in the substance benchmark. Result:The method validation of fingerprint and determination method was good， the similarities between 15 batches of Pipa Qingfeiyin substance benchmark and their control fingerprint were ≥0.997， 23 common peaks were identified and 11 chromatographic peaks were identified. CA， PCA and OPLS-DA divided 15 batches of the substance benchmark into two groups. The linear relationship of phellodendrine hydrochloride， chlorogenic acid， berberine hydrochloride， palmatine hydrochloride and ammonium glycyrrhizinate was good in a certain range of concentration （<italic>R</italic>²>0.999）， their average recovery was 96.47%-101.16%， and the contents of these five components in the substance benchmark were 0.87-2.00， 1.53-5.95， 18.45-33.97， 3.87-6.29， 1.02-4.12 mg·g^-1， respectively. Conclusion:The established UPLC fingerprint and multi-index component content determination methods have strong specificity， good resolution and high sensitivity， it can be characterized except for the Ginseng Radix et Rhizoma flavor， which can provide reference for the quality control and evaluation of Pipa Qingfeiyin compound preparation.

Quality Evaluation of Citri Sarcodactylis Fructus from Different Origins Based on HPLC Fingerprint and Chemometrics / 中国实验方剂学杂志

Objective:To establish the high performance liquid chromatography （HPLC） fingerprint of Citri Sarcodactylis Fructus， and to search for makers to characterize the quality difference of Citri Sarcodactylis Fructus from different origins coupled with chemometrics. Method:The analysis was performed on a Thermo Hypersil GOLD C₁₈ column （4.6 mm×250 mm， 5 μm） with mobile phase consisted of acetonitrile-0.05% phosphoric acid solution for gradient elution， and the detection wavelength was set at 254 nm. A total of 31 batches of samples were analyzed to establish the HPLC fingerprint of Citri Sarcodactylis Fructus. Similarity evaluation was performed by Traditional Chinese Medicine Chromatographic Fingerprint Similarity Evaluation System （2012 edition） to confirm the common peaks， which were identified by comparison of reference substances. On the basis， chemometrics methods were used to analyze and evaluate the quality of Citri Sarcodactylis Fructus from different origins. At the same time， 3 batches of 5 species of decoction pieces from the genus <italic>Citrus</italic> in the family Rutaceae， including Citri Sarcodactylis Fructus， Aurantii Fructus Immaturus， Aurantii Fructus， Citri Reticulatae Pericarpium Viride and Citri Reticulatae Pericarpium， were randomly collected for evaluating the effectiveness and reliability of the established HPLC fingerprint of Citri Sarcodactylis Fructus. Result:HPLC fingerprint of Citri Sarcodactylis Fructus was established and 22 common peaks were identified. And seven common peaks among them were identified as 6，7-dimethoxycoumarin， diosmin， hesperidin， byakangelicin， 5，7-dimethoxycoumarin， bergapten and oxypeucedanin. Except for 2 batches of samples， the similarities of fingerprints between other 29 batches of samples were >0.9. The 31 batches of Citri Sarcodactylis Fructus were basically divided into 3 groups by cluster analysis and principal component analysis， which were consistent with the classification of three different producing areas. Eight differential markers were screened by orthogonal partial least squares discriminant analysis and four of them （5，7-dimethoxycoumarin， bergapten， 6，7-dimethoxycoumarin and diosmin） were identified by reference substances. Similarity evaluation of 5 species of decoction pieces from genus <italic>Citrus</italic> in the family Rutaceae was carried out by taking the reference fingerprint of Citri Sarcodactylis Fructus as treference chromatogram， similarity of Citri Sarcodactylis Fructus decoction pieces was 0.892-0.977， and the similarities of the other 4 kinds of decoction pieces were 0.215-0.517. Conclusion:The established fingerprint method is reasonable， effective and accurate for quality control of Citri Sarcodactylis Fructus， the characterization information is more comprehensive combined with chemometrics.

Comparison of Chemical Constituents of Sinapis alba before and after Stir-frying Based on UPLC-MS and Chemometrics Methods / 中国药房

OBJECTIVE：To compare the chemical components in Sinapis alba before and after stir-frying. METHODS ： UPLC-Q-Exactive Obitrap MS was adopted to analyze chemical constituents of S. alba before and after stir-frying. The determination was performed on Waters CORTECS T 3 column with mobile phase consisted of methanol- 0.1％ formic acid solution （gradient elution ）at the flow rate of 0.25 mL/min. The column temperature was 30 ℃ and the sample size was 2 μL. High resolution MS adopted heating electrospray electron source ，positive ion scanning mode ，scanning range m/z 120-1 000. The chemical constituents of S. alba before and after stir-frying were identified by Compound Discover 3.2 software combined with relevant database ，and the content changes of chemical constituents were analyzed by using peak area. Chemometrics analysis was performed for the content changes of chemical constituents using peak area as variable. RESULTS ：A total of 54 chemical components were identified in S. alba ，mainly fatty acids （represented by erucic acid ），alkaloids（represented by sinapine ）， flavonoids. After stir-frying ，the contents of 19 chemical components changed significantly ，of which the contents of 10 components decreased significantly and those of 9 components increased significantly （P＜0.05）. Principal component analysis and orthogonal partial least squares discriminant analysis could clearly distinguish S. alba from stir-fried S. alba . CONCLUSIONS ：The contents of some chemical components of S. alba change significantly after stir-frying ，which may be one of the important reasons for the change of efficacy after stir-frying.

Identification and Study on Processing End-point of Raw and Processed Products of Morus alba Based on UPLC Fingerprint and Chromaticity / 中国药房

OBJECTIVE：To provide reference for the identification and proces sing end-point determination of raw Morus alba and its processed products （honey-processed M. alba ）. METHODS ：UPLC method was adopted. The determination was performed on Waters BEH Shield RP C 18 column with mobile phase consisted of acetonitrile- 0.1％ phosphoric acid solution （gradient elution ） at the flow rate of 0.30 mL/min. The column temperature was set at 30 ℃. The program wavelengths were set at 280 nm（0-4 min） and 320 nm（4-35 min）. Similarity Evaluation System for Chromatogram Fingerprint of TCM （2012 edition）was used to establish UPLC fingerprint and carry out similarity evaluation of 13 batches of M. alba and honey-processed M. alba . The chromatographic peaks were identified with reference substance fingerprint. The colorimetric value （L，a，b） of 13 batches of M. alba and honey-processed M. alba powder were determined ，and average total colorimetric value （E）was calculated. OPLS-DA and cluster analysis were adopted to analyze the differences in fingerprints and colorimetric values of M. alba before and after processing. At the same time ，the dynamic change rule of fingerprint and colorimetric value of honey-processed M. alba at different processing time points were analyzed to determine the processing end-point. RESULTS ：There were obvious differences in fingerprints before and after processing ，and the similarity of 13 batches of M. alba and honey-processed M. alba were all higher than 0.9. Totally 21 common peaks were calibrated for M. alba ，and 23 common peaks for honey-processed M. alba ；peak 1 and peak 2 were newly produced compounds of honey-processed M. alba . Peak 2，peak 7，peak 14 and peak 19 were identified as 5-hydroxymethylfurfural， mulberry glucoside A ，oxidized resveratrol ，mulberry flavonoids G. Results of OPLS-DA showed that the peak area-sample quantity ratio of peak 1，peak 2，peak 18，peak 20 and the chromaticity values （L，a，b）were the most important factors affecting the difference of raw and processed products of M. alba . When the E ranged 75.84-80.88 as the processing end-point of honey-processed M. alba ，the processing time was determined as 22-34 min. CONCLUSIONS ： The established UPLC fingerprint and colorimetric value determination method can be used to identify the raw and processed products of M. alba as well as determine the processing end-point of honey-processed M. alba .

Variations of Chemical Components in Inula japonica by UPLC-MS/MS before and after Honey-frying / 中国药房

OBJECTIVE：To compare the c hemical components differences of Inula japonica before and after honey-frying. METHODS：UPLC-MS/MS method was adopted. The determination was performed on Waters ACQUITY UPLC BEH C 18 column with mobile phase consisted of 0.1％ formic acid-acetonitrile （gradient elution ）at the flow rate of 0.3 mL/min. The column temperature was set at 30 ℃，and sample size was 5 µL. The electrospray ion source was scanned by positive ion mode. The first order mass spectrometry scanning range was m/z 70-1 050，the second order mass spectrometry scanning range was m/z 50-1 050， and the normalized collision energy was 40，60 eV ；mass spectrum type was the peak figure ，the flow rate of sheath gas was 35 arb，the auxiliary airflow speed was 10 arb，the spray voltage was 3.80 kV，the S-lens voltage was 50 V，the heating temperature was 350 ℃，and the capillary temperature was 350 ℃. The components were identified by Qual Browser 4.1.39.1 software， referring to the online high-resolution database mzCloud and local database OTCML of high-resolution mass spectrometry of TCM ， and combined with relevant literature. The principal component analysis （PCA）and orthogonal partial least squared-discriminant analysis（OPLS-DA）of I. japonica before and after honey-fried were performed by using SIMCA 14.1 statistical software ，and variable importance projection （VIP）value greater than 1 was used as the standard to screen the differential components before and after honey-frying. RESULTS ：A total of 29 common chemical components were identified from I. japonica and honey-fried I. japonica，including 5 phenolic acids as 1-caffeoylquinic acid ，chlorogenic acid and 3，5-dicaffeoylquinic acid ，12 flavonoids as quercetin，luteolin and evamectin ，as well as 12 sesquiterpene lactones as 1-O-acetylinula diester ，inula bicolor lactone B and 1-O-acetyl-6-O-isobutyryl inulin. The results of PCA showed that I. japonica and honey-fried I. japonica were located on both sides of the score diagram respectively. The results of OPLS-DA showed that the VIP values of 7 components were greater than 1，which were peak 19（britanin），peak 6（quercetagitrin），peak 1（1-caffeoylquinic acid ），peak 21（vitexicarpin），peak 20（tomentosin）， peak 13（spinacetin）and peak 3（daphnetin）. CONCLUSIONS ：After honey-fried ，the content of chemical components of I. japonica changed and decreased to a certain extent. Britanin ，quercetagitrin，1-caffeoylquinic acid ，tomentosin，vitexicarpin， spinacetin and daphnetin may be the differential components of I. japonica and honey-fried I. japonica .

Effects and evaluation of different processing and drying methods on components in Paeoniae Radix Alba / 中国中药杂志

The present study evaluates different processing and drying methods and investigates their effects on the chemical components in Paeoniae Radix Alba via content determination. The fresh medicinal materials of Paeoniae Radix Alba collected from Bozhou of Anhui province were processed(boiled and peeled) and dried(hot air-dried, infrared-dried, and microwave-dried) at different temperatures(40, 50, 60 and 70 ℃), and the 11 components(monoterpene glycosides, polyphenols, tannin, and benzoic acid) in Paeoniae Radix Alba were determined by ultra-performance liquid chromatography coupled to triple quadrupole with electrospray tandem mass spectrometry(UPLC-TQ-MS). Then the compounds in processed and dried samples were analyzed by partial least squares discriminant analysis(PLS-DA) and orthogonal partial least squares discriminant analysis(OPLS-DA), and the contribution rates of differential components were evaluated by variable important in projection(VIP). The results indicated that the samples obtained by different processing and drying methods could be distinguished. Albiflorin, gallic acid, 1,2,3,4,6-pentakis-O-galloyl-β-D-glucose, and benzoic acid were the common differential components in boiled Paeoniae Radix Alba. Benzoic acid was the common differential component in peeled Paeoniae Radix Alba. Gallic acid was the common differential component in Paeoniae Radix Alba dried by different methods. The samples could not be distinguished after drying at different temperatures due to the lack of common differential components. This study is expected to provide a reference for the selection of processing and drying methods and the optimization of processing parameters.

Analysis of chemical differences between Cordyceps hawkesii and Cordyceps sinensis based on multivariate statistics / 中草药

Objective: To analyze and identify the significant different components between Cordyceps hawkesii and Cordyceps sinensis by using method of ultra performance liquid chromatography quadrupole time of flight mass spectrometry (UPLC-Q-TOF-MS). Methods: Mass spectrometry combined with formula finder of PeakView software and database (Human Metabolome Database, Pub Chem, Metlin) and secondary fragmentation analysis, significant different components were identified and analyzed. Results: Through OPLS-DA analysis, it was found that 12 significant different components were identified. Eleven of them were amino acids and their metabolites, and one was phosphatidylcholine. Conclusion: Surprisingly, characteristic components such as cordycepin and adenosine were not identified by significant difference analysis. In this study, it was proved that C. hawkesii can be used as a supplementary resource instead of C. sinensis, which provided scientific support for the further development and utilization of C. hawkesii.

Establishment of HPLC Fingerprint of Schisandra sphenanthera and S. chinensis and Analysis of Chemical Pat- tern Recognition / 中国药房

OBJECTIVE：To establish HPLC fingerprint of Schisandra sph enanthera and S. chinensis，and to analyze chemical pattern recognition. METHODS ：HPLC method was adopted. Using schizandrin A as reference ，HPLC fingerprints of 10 batches of S. sphenanthera and S. chinensis （N1-N10，S1-S10） were drawn. Similarity Evaluation System of TCM Chromatographic Fingerprint（2012 edition）was adopted for similarity evaluation to determine the common peaks. SPSS 20.0 and SIMCA 14.1 software were used for HCA ，unsupervised madel of PCA ，supervised model of OPLS-DA. Using variable importance projection （VIP）value greater than 1 as the standard ，the differential markers that affected the quality of S. sphenanthera and S. chinensis were screened. RESULTS ：S. sphenanthera and S. chinensis were identified 32 and 33 common peaks ，respectively. The similarity of 10 batches of S. sphenanthera and 10 batches of S. chinensis were all higher than 0.9，and the similarity of S. sphenanthera and S. chinensis was 0.05. A total of 19 characteristics peaks were identified ，among which five common peaks were identified as schisandraol A ，schisandraol B ，schisantherin A ，schizandrin A and schisandrin B by reference. HCA results showed that N 1-N10 were clustered into one category ，and S 1-S10 were clustered into one category ，of which N 1，N3，N8，and N 9 were clustered into one category ，and the rest were clustered into one category ；S1，S3，S6，and S 9 were grouped together ，and the rest were grouped together. The results unsupervised model of PCA showed that the cumulative variance contribution rate of the first two principal component factors was 87.20％. Supervised model of OPLS-DA showed that schizandrin A ，schisandraol A ，schisantherin A and schisandrin B were the differential markers that affected 、the quality of S. sphenanthera and S. chinensis （VIPs were 2.29，2.24，1.73，1.48，respectively）. CONCLUSIONS ：The established fingerprint is accurate ，scientific，simple and easy to use ，combined with multivariate statistical analysis can be 话：0395-3356116。E-mail：wangrui56116@163.com used to evaluate the quality of S. sphenantherae and S. chinensis. The components of S. sphenanthera and S. chinensis were different ，schisanolrin A is differential marker.

Improvement of Quality Standard of Shenwei Gubi Tablets and Changes of Transfer Rates of Its Quality Control Indicators in Production Based on Chemical Pattern Recognition Technology / 中国实验方剂学杂志

Objective:To improve the quality standard of Shenwei Gubi tablets， and to explore the reasons for the great difference in the contents of quality control index components between batches of this product. Method:The fingerprint of this product was established by HPLC， the determination was performed on Diamonsil C18 column （4.6 mm×250 mm， 5 μm） with acetonitrile （A）-0.1% phosphoric acid solution （B） for gradient elution （0-5 min， 10%A； 5-15 min， 10%-12%A； 15-30 min， 12%-26%A； 30-43 min， 26%-31%A， 43-50 min， 31%-40%A， 50-70 min， 40%-55%A； 70-84 min， 55%-72.5%A） as the mobile phase at detection wavelength of 230 nm. The orthogonal partial least squares-discriminant analysis-variable importance in the projection （OPLS-DA-VIP） map was drawn with the common peak as the independent variable. The contribution of 26 common peaks to the fingerprint differences among different batches of this product was quantified. By searching for the chromatographic peaks with great differences， combined with relevant literature， the components related to the clinical indications of the product were screened out and their contents were determined by specificity experiment， and the quantitative indicators were finally selected. HPLC-doide array detector （DAD） was employed to determine the contents of the above preferred indexes with detection wavelengths of 236， 276， 230， 322 nm， other conditions were the same as HPLC fingerprint detection method. Result:A total of 26 common peaks were calibrated on the HPLC fingerprint of Shenwei Gubi tablets. The similarity between the fingerprint of each batch samples and the reference fingerprint was≥0.950. Loganic acid， gentiopicroside， paeoniflorin and osthole were optimized as the quantitative indicators of this product， their average contents were 161.02， 401.80， 255.54， 80.68 μg·g-1. Conclusion:The established fingerprint and multi-index quantitative analysis method are stable and reliable， and can be used for quality control of Shenwei Gubi tablets. Difference in contents of quality control components between batches of raw materials and the imperfect quality control method of intermediates in the production process are the main reasons for the great difference in the contents of quality control indicators between batches of this product.

Establishment of Fingerprint and Multivariate Statistical Analysis of Compatible Herb Pairs with Polygonum multiflorum as the Core / 中国药房

OBJECTIVE：To establish UPLC fin gerprint of 32 compatible herb pairs with Polygonum multiflorum as the core ， and to conduct multivariate statistical analysis. METHODS ：UPLC method was adopted. Using P. multiflorum and single decoction pieces of compatible herb as reference ，UPLC fingerprints of 32 compatible herb pairs of P. multiflorum were drawn. Common peaks were confirmed by relative retention time and UV absorption spectrum. Non-supervised PCA and supervised OPLS-DA were conducted by using SPSS 19.0 software and SIMCA 13.0 software. RESULTS ：There were totally 12 common peaks in UPLC fingerprints of 32 compatible herb pairs of P. multiflorum . The results of non-supervised PCA showed that the accumulative variance contribution rate of primary 6 principal components was 84.633％. The results of cluster analysis of PCA comprehensive score showed that single decoction piece of P. multiflorum ，compatible herb pairs of P. multiflorum with Lycium barbarum ，Rehmannia glutinosa，Paeonia lactiflora ，Codonopsis pilosula ，Eclipta prostrate ，Angelica sinensis ，Glycyrrhiza uralensis ，Astragalus membranaceus and Ophiopogon japonicus were clustered into one category ；others were clustered into one category. Results of supervised OPLS-DA analysis showed that eigen values of 4 principal components were 2.32，2.61，1.58 and 0.90，respectively. There were differences in the contents of 12 common components in the compatibility of P. multiflorum with tonic medicine and non-tonic medicine. The changes of the content of the components after compatibility with tonic medicine were similar. Common peak 7，4，6，3 were main reasons for the differences （variable importance projection value were all higher than 1）. CONCLUSIONS：Established fingerprint is simple in operation ，and can be combined with multivariate statistical analysis to evaluate the content changes of common components of 32 compatible herb pairs with P. multiflorum as the core.

Quality analysis of different grades of Glycyrrhiza Polygalae Radix slices / 药学学报

The grading and quality analysis methods for different commercial Glycyrrhiza Polygalae Radix slices were established. The qualities of different grade samples were analyzed and compared, in order to provide useful information for the formulation of the grading standards of Glycyrrhiza Polygalae Radix slices. A total of 34 batches of Glycyrrhiza Polygalae Radix slice samples collected from 12 companies were divided into two grades: first-grade (diameter ≥ 3.0 mm) and second-grade (diameter < 3.0 mm). Thin-layer chromatography (TLC), multi-component content determination and fingerprint analysis were used to analyze the qualities of different grades of Glycyrrhiza Polygalae Radix slices, and the fingerprints were statistically analyzed using partial least squares-discriminant analysis (PLS-DA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). The results showed that the established TLC method can simultaneously identify three major types of components, including sugar esters, xanthones, and saponins in Glycyrrhiza Polygalae Radix slices, and has obvious advantage compared to the existing methods for its rich information, low cost, and easy or safe operation. The multi-component determination showed that the contents of three index components (polygalaxanthone Ⅲ, 3,6'-disinapoyl sucrose and tenuifolin) in the first-grade products of Glycyrrhiza Polygalae Radix slices were lower than those in the second-grade products. The results of PLS-DA and OPLS-DA indicated significant differences were observed between the first-grade and second-grade products, with sibiricose A5, sibiricose A6, polygalaxanthone Ⅲ, 3,6'-disinapoyl sucrose and tenuifoliside A being identifies as the major differentiate markers.

Establishment of UPLC Fingerprint of Ficus tikoua and Its Cluster Analysis and Principle Component Analysis / 中国药房

OBJECTIVE： To establish a UPLC fingerprint of Ficus tikoua. METHODS： UPLC method was adopted. The determination was performed on Waters ACQUITY UPLC BEF C18 column with mobile phase consisted of 0.2％ aqueous acetic acid-acetonitrile （gradient elution）； the detection wavelength was 254 nm； the flow rate was 0.1 mL/min； the column temperature was 25 ℃， and sample size was 2 μL. UPLC fingerprints of 10 batches of samples and 2 batches of adulterants were determined by using No. 14 peak as reference. The similarity evaluation was carried out by using the TCM Chromatographic Fingerprint Similarity Evaluation System （2012 edition） so as to determine common peak. The cluster analysis was performed by using SPSS 20.0 software. SIMCA 13.1 software was used to conduct the principal component analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）. RESULTS： There were 28 common peaks in UPLC fingerprint of 10 batches of F. tikoua. The similarity of 10 batches of F. tikoua was between 0.839 and 0.935， and the similarities of the 2 batches of adulterants were 0.503 and 0.173 respectively， which indicated that F. tikoua could be distinguished from adulterants. 10 batches of F. tikoua could be divided into 2 categories by cluster analysis and principle component analysis， and S3-S5， S9 and S10 were grouped into one category， and the remaining batches were grouped into one category. 7 components with a variable importance in projection （VIP） value ＞1 were screened by OPLS-DA analysis. These 7 components may be the main components that caused the quality difference of 10 batches of F. tikoua samples. CONCLUSIONS： Established fingerprint， cluster analysis， principle component analysis and OPLS-DA can be used for the identification and quality control of F. tikoua.

Evaluation of schisandrin B-induced mouse model of hypertriglyceridemia based on lipid metabolomics / 中国药理学通报

Aim: To evaluate the mouse model of hypertriglyceridemia (hTG) induced by schisandrin B (Sch B) using lipid metabolomics technology. Methods: Male ICR mice weighing 23 ~ 27 g were randomly divided into four groups: (1) mice fed with normal diet (ND group) (2) mice fed with ND and treated with Sch B(ND +Sch B group); (3) mice fed with high fat/fructose diet(HFFD group; fat, 10%; fructose, 10%; w/w), and (4) mice fed with HFFD and treated with Sch B (HFFD + Sch B group). Based on our previous research, Sch B at a single dose of 2 g · kg-1 was orally administered to the animals in the current study. Forty-eight hours later, serum samples were obtained from the orbital vein. Serum triglyceride (TG) and total cholesterol (TC) were analyzed by biochemical method. The metabolic fingerprint spectrum of serum in all groups were obtained and analyzed using ultra-performance liquid chromatography quadrupole-time-of-flight mass spectrometry (UPLC-Q/TOF-MS) method. The differences of metabolic spectra in every two groups were compared via the multivariate statistical methods. Results: Compared with ND group, three kinds (27 markers) of differential metabolites were identified in ND +Sch B group, including 18 TG, 7 phosphatidylcholine (PC), and 2 phosphatidylethano-lamine(PE). Compared with ND group, five kinds(27 markers) of differential metabolites were screened in HFFD group, including 6 sphingomyelin (SM), 13 PC, 2 cholesteryl ester(CE), 5 TG and 1 phosphati-dylinositol (PI). Compared with HFFD group, four kinds (25 markers) of differential metabolites were found in HFFD + Sch B group, involving 14 TG, 1 CE, 6 PC and 4 PE. Conclusion: These findings suggest that the animal model of hypertriglyceridemia established by Sch B involves the alteration of serum lipid metabolomics.