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ObjectiveTaking Achyranthis Bidentatae Radix（ABR） from different origins as samples， to quantitatively analyze the chemical composition and chromaticity of ABR with different processing degrees， and clarify the correlation and change law between color and composition in the processing process of ABR， so as to provide reference for the quality evaluation of processed products of ABR. MethodThe colorimeter is used to measure the chromaticity values of three kinds of processing degrees of ABR in different origins to show the color value change trend during the processing process， and the color parameters of wine-processed and salt-processed products of ABR with different processing degrees were analyzed by principal component analysis（PCA）， orthogonal partial least squares-discriminant analysis（OPLS-DA） and other analysis methods. The contents of eight representative components of ABR were measured by high performance liquid chromatography（HPLC）， the correlation between chromaticity and each representative component was analyzed by Pearson correlation analysis， and the applicability of the selected eight representative components was further verified by Fisher linear discriminant analysis， and the wine-processed and salt-processed products of ABR with different processing degrees were grouped according to the degree of processing， and 48 samples of wine-processed and salt-processed products with different processing degrees were used as training samples. Taking the contents of 5-hydroxymethylfurfural， polypodine B， β-ecdysterone， 25R-inokosterone， 25S-inokosterone， ginsenoside Ro， chikusetsusaponin Ⅳa and polysaccharides as variables， the discriminant function was established respectively， and 12 samples of wine-processed and salt-processed products of ABR with different processing degrees were back-tested to verify the discriminant function and test the reliability of the function. ResultPCA and OPLS-DA results showed that ABR samples with different processing degrees were classified into clusters， and the results could significantly distinguish different processed products. During the process of wine and salt processing， the contents of 5-hydroxymethylfurfural， ginsenoside Ro， and chikusetsusaponin Ⅳa gradually increased with the deepening of the processing degree， while the contents of polypodine B， β-ecdysterone， 25R-inokosterone， 25S-inokosterone and polysaccharides showed a gradual decreasing trend， indicating these 8 components increased and decreased to different degrees in the process of wine and salt processing. The results of Pearson correlation analysis showed that the 5-hydroxymethylfurfural content of the samples with different processing degrees of wine-processed and salt-processed products were negatively correlated with the brightness value（L*） and the total color difference value（E*ab）（P<0.01）， and positively correlated with the red-green value（a*） and the yellow-blue value（b*）（P<0.01）， and that the content of polypodine B and polysaccharides were positively correlated with L* and E*ab（P<0.01）. The discriminant functions of wine-processed and salt-processed products of ABR were established by Fisher linear discriminant analysis， and their accuracy rates in the training samples were 93.75% and 95.83%， respectively. Twelve test samples of wine-processed and salt-processed products with different processing degree were back substitution， and the correct rate was 100%. ConclusionThe trend of composition and color changes of ABR with different processing degrees in different production areas is relatively consistent， and the color value can better distinguish ABR with different processing degrees， and the color of ABR is related to some representative components in the processing process， indicating that the color can provide reference for the identification of the processing degree of ABR and the prediction of component content.
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Direct acid hydrolysis of Dioscorea zingiberensis rhizomes for preparation of diosgenin is wildly used in the traditional industry， which uses a large amount of inorganic acid catalysts， with high wastewater discharge and serious environmental pollution. Therefore， exploring clean and efficient preparation methods and processes has become an inevitable choice to realize the sustainable development of industrial production of diosgenin. Herein， the author reviewed and analyzed the research progress and problems of enzymatic hydrolysis， microbial transformation and modified acid hydrolysis in the preparation of diosgenin from D. zingiberensis rhizomes during the last ten years， and their application prospects are analyzed. Enzymatic hydrolysis has mild reaction conditions， but the yield of diosgenin is low， the economic cost is high， and the purification process of active enzyme is complicated. Microorganism shows specific activity to the substrate and high efficiency for diosgenin production， and microbial transformation is clean and environmentally friendly， but microbial transformation is time-consuming and the metabolic intermediates are complicated. For the modified acid hydrolysis， two-phase acid hydrolysis can reduce the amount of acid catalyst， and sulfonic acid-functionalized ionic liquid displays good recyclable performance by replacing the traditional inorganic acid， however， the wastewater discharge should still be considered. Solid acid catalysts are non-corrosive and easy to be recycled， but the need to use ethanol as the reaction solvent has certain safety hazards， and the catalyst preparation process is cumbersome. In conclusion， exploring clean and efficient conversion methods is an important research trend for preparation of diosgenin from D. zingiberensis rhizomes. For the enzymatic hydrolysis， the key glycoside hydrolases in the bioconversion process should be explored in depth， the conversion pathway of enzymatic saponins and enzyme specificity should be fully elucidated， and efforts should be made to improve the efficiency of enzymatic hydrolysis. For the microbial transformation， we should accelerate its industrial application process based on selecting and breeding efficient transformation strains， and optimizing stable transformation systems and processes， and in-depth investigation of the mechanism of microbial transformation， fully elucidating the specific key hydrolases and its catalytic properties， and striving to improve the efficiency of microbial transformation. For the modified acid hydrolysis， novel acid catalytic system with simple structure， stable performance and good biodegradability should be explored and applied， which can effectively solve the problems of environmental pollution and production safety.
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ObjectiveTo investigate the metabolites and gene expression characteristics in fibrous roots of Dioscorea zingiberensis in response to low phosphorus stress. MethodThe severe stress group， the moderate stress group， and the normal group were set up to stimulate the low phosphorus stress experiment. The fibrous roots of D. zingiberensis were collected during initial stress. The metabolites and transcriptomic characteristics were analyzed by gas chromatography-mass spectrometry （GC-MS） derivatization and RNA-seq techniques. Through multivariate statistical analysis of metabolites treated by different methods，functional analysis of differentially expressed genes， and data mining， the metabolism markers produced in fibrous roots of D. zingiberensis under low phosphorus stress were screened out， and the metabolic pathway characteristics of different genes were analyzed. ResultA total of 116 GC-MS metabolites were detected from the fibrous roots of D. zingiberensis. The metabolic characteristics of fibrous roots of D. zingiberensis under different low phosphorus treatments were obviously different. Orthogonal partial least squares discriminant analysis（OPLS-DA） model was used to screen six differential metabolites represented by sugars and alcohols from metabolites of fibrous roots treated with different methods，and these components were presumedly metabolism markers of fibrous roots of D. zingiberensis in response to low phosphorus stress. The differential genes screened out from the severe stress group and the normal group were mainly enriched in peroxidase pathway，phosphate and hypophosphate metabolism pathway，while the differential genes screened out from the severe stress group and the moderate stress group were mainly enriched in glutathione metabolism pathway and phosphopentose pathway. A total of 177 differential genes in response to low phosphorus stress were screened out from fibrous roots， involving many pathways such as terpenoid skeleton and inositol biosynthesis，which was consistent with the fact that the metabolic differential components in fibrous roots in response to low phosphorus stress were mainly saccharides and inositol. ConclusionThe metabolites and gene expression in fibrous roots of D. zingiberensis responded to low phosphorus stress，and the differential metabolites were closely related to differentially expressed genes. This study is expected to provide a theoretical basis for the research on the molecular mechanism of D. zingiberensis in response to low phosphorus stress.
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OBJECTIVE To investigate the eff ects of different habitat processing methods on the quality of Cyperus rotundus ， such as sun-drying after steaming ，sun-drying after boiling and direct sun-drying ，and to investigate the optimal habitat processing method of C. rotundus from the perspective of chemical component. METHODS The fingerprint of C. rotundus was established by high performance liquid chromatography （HPLC）combined with the Similarity Evaluation System for Chromatographic Fingerprint of TCM （2012 edition）. The similarity evaluation was conducted to determine the common peak. Cluster analysis （CA）combined with principal component analysis （PCA）and partial least squares-discriminant analysis （PLS-DA）was used to differentiate and compare C. rotundus treated by different habitat processing methods. And the contents of cyperrenone ，α-cyperone，luteolin and ferulic acid in C. rotundus were determined by HPLC. RESULTS There were 22 common peaks in the HPLC fingerprints of C. rotundus reated by different habitat processing methods ；their similarities were higher than 0.9；common peak 16 and common peak 20 were cyperrenone and α-cyperone. CA results showed that C. rotundus boiled for 4，8 and 12 min were clustered into one category，the rest of the samples clustered into one category. PCA results showed that comprehensive score of C. rotundus steamed for 10 and 15 min and boiled for 2 min were the highest. The steaming treatment had small effect on comprehensive score of samples，while the boiling treatment had a great effect on the quality of the samples ；the overall score of samples decreased sharply after boiling for 2 min. Results of PLS-DA showed that variable importance projection （VIP）of peak 20（α-cyperone），peak 16 （cyperrenone），peak 22，peak 17 and peak 22 in HPLC fingerprints were all higher than 1. The results of content determination showed that there was significant difference in the contents of α-cyperone，cyperrenone and luteolin in samples treated by different habitat processing methods.With the increase of steaming and boiling time ，the contents of α-cyperone，cyperrenone and luteolin showed a significant downward trend ，and boiling had a great impact on them. CONCLUSIONS Too long boiling treatment greatly；2019 destroys the chemical composition of C. rotundus ， andsteaming for 10，15 min or boiling for 2 min is the optimal processing method.
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OBJECTIVE To establish the infrared fingerprints of Achyranthes bidentata from different producing areas ，and to conduct multivariate statistical analysis. METHODS The infrared fingerprints of 61 batches of A. bidentata samples were established by Spectrum for Window 3.02 and OMNIC 9.2 software. Taking the relative peak height of common peaks of infrared fingerprint as the variable ，the normal distribution analysis was carried out by Excel 2016 software；SPSS 22.0 software was used for cluster analysis and principal component analysis ，and the comprehensive score was calculated ；the orthogonal partial least squares-discriminant analysis was carried out by SIMCA 14.1 software，and the marker wave numbers affecting the quality of A. bidentata were screened by taking the variable importance in projection （VIP）＞1 as the standard. RESULTS The correlation coefficients of infrared spectra of 61 batches of A. bidentata samples were 0.967 2-0.997 7；there were 13 common peaks. The results of normal distribution analysis showed that the normal distribution curve of relative peak height of common peaks for A. bidentata from Henan and Hebei did not cross ，and the normal distribution curve of A. bidentata from Henan and Inner Mongolia crossed. The results of cluster analysis showed that when the distance between groups was 15，61 batches of A. bidentata samples could be clustered into 3 categories，including N 1-N12 were clustered into one category ，N13-N45 were clustered into one category，and N 46-N61 were clustered into one category. The results of principal component analysis showed that the cumulative variance contribution rate of the first three principal components was 91.121％；comprehensive score of qq.com A. bidentata （number N 40） in Jiabu village ，Jiaozuo City ， Henan Province was the highest （2.39）， and that of A.bidentata（number N 4）in Xin ’an village ，Anguo City ，Hebei Province was the lowest （－2.89）. The results of orthogonal 163.com partial least squares-discriminant analysis showed that 61 batches of A. bidentata samples were divided into three categories ，including N 1-N12 were clustered into one category ，N13-N28 were clustered into one category and N 29-N61 were clustered into one category. Seven marker wave numbers affecting the quality were selected. The corresponding wave numbers of VIP from large to small were 1 059，927，2 933，813，1 732，1 128 and 3 367 cm－1，1 732 cm－1 was the characteristic obsorption peak of saponins ，1 059，1 128，927 cm－1 were the characteristic obsorption peaks of glycosides. CONCLUSIONS Infrared fingerprint combined with normal distribution analysis ，cluster analysis ，principal component analysis and orthogonal partial least squares-discriminant analysis can be used to identify A. bidentata from different producing areas.
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OBJECTIVE： To establish a method for rapid determination of total phenylethanoid glycosides and total iridoid glycosides in the root of Rehmannia glutinosa. METHODS： The contents of total phenylethanoid glycosides and total iridoid glycosides in medicinal material samples were determined by UV spectrophotometry. Quantitative model of total phenylethanoid glycosides and total iridoid glycosides in medicinal samples was established by NIRS-PLS method. The optimal pretreatment spectra were multivariate scattering correction combined with first derivative method， standard normalization combined with first derivative method. The optimum spectral ranged from 6 703.35-11 065.54 cm－1 and 3 999.63-9 102.36 cm－1. The optimum principal factor number were 10 and 7. RESULTS： The content determination of total phenylethanoid glycosides and total iridoid glycosides in medicinal material samples was proved to meet the requirements by methodological experience. The internal cross validation determination coefficients of total phenylethanoid glycosides and total iridoid glycosides were 0.998 2 and 0.980 9. The correction of root mean square error was 0.032 7 and 0.186 0. The root mean square error of prediction were 0.035 5 and 0.035 1. The root mean square error of cross validation were 0.256 9 and 0.574 3. The predicted values of total phenylethanol glycosides and total iridoid glycosides were 0.268％-1.636％ and 3.424％-6.978％， respectively； the determination value of them were 0.299％-1.629％ and 3.431％-6.952％， respectively； the absolute deviations were －0.042％-0.067％ and －0.111％-0.088％， respectively；the relative deviations were －0.819％-0.076％、－2.257％-1.672％， respectively；There was no statistical significance between predicted values and measured values （P＞0.05）. CONCLUSIONS： The method is accurate and simple. The method can be used for the rapid determination of total phenylethanoid glycosides and total iridoid glycosides in different germplasms of R. glutinosa.
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OBJECTIVE:To establish the HPLC fingerprint of Zhibai dihuang pills(concentrated pills),and to evaluate its quality. METHODS:The determination was performed on Dikma Diamonsil C18column with mobile phase consisted of 0.1%acetic acid solution-methanol(gradient elution)at the flow rate of 1.0 mL/min. The detection wavelength was set at 260 nm,and column temperature was 30 ℃. The sample size was 10 μL. Using paeonol as reference,HPLC chromatograms of samples from A, B,C manufacturers within validity period and samples from manufacturer A within validity period and out of validity period were drawn. The similarity of HPLC chromatogram for samples from A,B and C manufacturers and samples from A manufacturer within validity period and out of validity period was evaluated by TCM Chromatogram Fingerprint Similarity Evaluation System (2004 A). Common peaks of HPLC chromatogram for 3 manufacturers sample within validity period were confirmed. RESULTS:There were 24,29 and 32 common peaks in HPLC chromatograms for each 10 batches of samples from manufacturer A,B and C within validity period,respectively. The similarity of corresponding HPLC chromatograms of samples from manufacturer A,B and C compared with control HPLC chromatography were all higher than 0.94 with good agreement. HPLC chromatograms of sample from A manufacturer within validity period had good agreement with that from A manufacturer out of validity period. CONCLUSIONS:Established HPLC fingerprint analysis method can represent the quality of Zhibai dihuang pills (concentrated pills),but cannot effectively identify the expired samples.
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Objective To determine the content of baicalin in Radix Scutellariae granule from different manufacturers using near infrared spectroscopy(NIRS)technology. Methods Utilizing NIRS combined with partial least squares,and simultaneously opti?mizing the pretreatment methods and the range of spectrum,the quantitative model of baicalin in Radix Scutellarie granules was estab?lished. Results In the model correlation coefficient(R2)was 0.9702,root-mean-square error of calibration(RMSEC)was 0.555,and root-mean-square error of predict(RMSEP)was 1.05. Conclusion In this paper,rapid quality analysis method of Radix Scutellariae granules from different manufacturers is studied using NIRS technology. The model can predict the content of baicalin nondestructively and rapidly. It can give some reference for researching the quality control of Radix Scutellariae granules .
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This paper was aimed to study the method of rapid determination of total flavonoids in Chrysanthemum of different processing methods by near infrared spectroscopy (NIRS). The Chrysanthemum was dried by three different processes. The three methods were directly drying, drying after steamed and drying after fry, respectively. The determination of total flavonoids in Chrysanthemum by different processing methods was produced by using UV-Vis spectrophotometry. Collecting the NIRS spectra of Chrysanthemum, the quantitative analysis model of total flavonoids content in Chrysanthemum of different processing methods was established by partial least square (PLS) and the model was validated. The correlation coefficient (R2), the root-mean-square error of calibration (RMSEC) and the root-mean-square error of prediction (RMSEP) were 0.996 19, 0.104 and 0.168, respectively. The correlation coefficient of predication (r) was 0.979 3 which state that the prediction was accurate. The method of NIRS had the advantage of fast determination, simple operation and high accuracy of prediction, and could be used for rapid determination of total flavonoids content in Chrysanthemum of different processing methods.
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This study was aimed to establish a rapid detection method for timosaponin BⅡ in Anemarrhenae Rhizoma in order to determine its concentration quickly,conveniently and efficiently.The concentration of timosaponin BⅡ in A.Rhizomadetected by HPLC in the Chinese Pharmacopeia was used as the actual measured value.The near-infrared spectroscopy (NIRS) was used to collect the spectrogram of A.Rhizomasamples.The partial least squares (PLS) of TQ Analyst 8.0 were used in the data analysis.Through the pretreatment,wavelength range and principal component number selection,the actual measured value and NIRS information were associated for the establishment of the optimal quantitative analysis model of timosaponin BⅡ.The results showed that the correlation coefficients (R2),root-mean-square error of calibration (RMSEC),root-mean-square error of prediction (RMSEP),root-mean-square error of cross-validation (RMSECV) and the performance index (PI) of the established model were 0.975 15,0.094 2,0.080 0,0.369 20,and 91.0,respectively.It was concluded that the established quantitative analysis model by NIRS with HPLC was able to determine the concentration of timosaponin BⅡ in A.Rhizomaquickly and accurately.