Quality Evaluation of Asparagus officinalis by Profile of Amino Acids and Mineral Elements in Different Parts Combined with Chemometrics Methods.

Asparagus officinalis has a homologous value in medicine and vegetables. Its immature stem, commonly called asparagus, is a central edible part. Asparagus skin and leaf also contain rich nutrients. However, these parts are often discarded. This study investigated amino acid and mineral elements in immature stem, skinless asparagus, asparagus skin, and leaf. Their quality was further evaluated by chemometrics methods such as principal component analysis and neural network analysis. The results showed amino acid content was high in immature stem and skinless asparagus and low in leaf, whereas the mineral elements were in four parts. Quality evaluation results showed four parts were divided into three grades. Immature stem and skinless asparagus were grouped into cluster 1 with the best quality as high-quality raw materials in food and health-care products. Meanwhile, three AA (Cys, His, Arg) and two mineral elements (Na, Cr) were identified as quality evaluation iconic substances.

Nutritional Composition Profiles and Quality Evaluation of Different Cultivars of Asparagus Officinalis with Potential as Functional Foods and Health-Care Products.

Asparagus officinalis is a health-care vegetable with homology value of medicine and food. The quality of A. officinalis is greatly different from various cultivars. It is essential to reveal the relationship between the variety and quality. This study investigated six nutritional compositions in ten A. officinalis cultivars, including amino acid, mineral substance, carbohydrate, vitamin C, protein and total sugar. Five chemometrics methods were further employed to evaluate their quality. The results consistently showed that ten varieties were divided into three grades as nutritional composition differences. HuaMiaoF1, JinGuan and FeiCuiMingZhu were grouped into cluster3 with the best quality, and Atlas and Jersey Giant were grouped into cluster1 with the lowest quality. Therefore, HuaMiaoF1, JinGuan and FeiCuiMingZhu can be suggested as good raw materials for medicine, food and health-care products industries. Meanwhile, the comprehensive application of five chemometrics methods was confirmed as a reliable methodology for quality evaluation of A. officinalis.

Comprehensive quality evaluation of processed Scrophulariae Radix from different regions of China using HPLC coupled with chemometrics methods.

INTRODUCTION: Scrophulariae Radix (SR) has been extensively used in traditional Chinese medicine (TCM) for thousands of years. However, the processing methods and production areas of Scrophularia ningpoensis have undergone notable historic changes. Thus, their effects on the bioactive constituents of SR still need to be studied further. OBJECTIVES: This study aimed to establish an objective and comprehensive method to identify the correlation of bioactive constituents of SR with variety, place of origin and processing method for evaluating their qualities. METHODOLOGY: An accurate and rapid high-performance liquid chromatography-diode array detector (HPLC-DAD) method for the simultaneous determination of 11 marker components (aucubin, harpagide, 6-O-methyl-catalpol, harpagoside, verbascoside, isoverbascoside, angoroside C, cinnamic acid, l-tyrosine, l-phenylalanine, and l-tryptophan) was established to evaluate the quality of SR for the first time. In addition, the effects of different production areas and processed methods on the target compounds were studied by analysing 66 batches of SR samples with chemometrics methods, including similarity evaluation of chromatographic fingerprints of TCM, principal component analysis (PCA), and partial least squares-discriminant analysis (PLS-DA). RESULTS: Compared with "sweating", short-term "steaming" and "slice-drying" could largely preserve the bioactive constituents of SR. When using the model established through PLS-DA, five components were identified as the most significant variables for discrimination. Furthermore, the score plots of PCA and the similarity evaluation revealed that variety had a more notable influence on the quality of SR than the place of origin. CONCLUSION: An objective approach of HPLC fingerprint coupled with chemometrics analysis and quantitative assessment could be applied to discriminate different processed SR and evaluate the qualities of SR rapidly.

Authentication of Herbal Medicines Based on Modern Analytical Technology Combined with Chemometrics Approach: A Review.

Since ancient times, herbal medicines (HMs) have been widely popular with consumers as a "natural" drug for health care and disease treatment. With the emergence of problems, such as increasing demand for HMs and shortage of resources, it often occurs the phenomenon of shoddy exceed and mixing the false with the genuine in the market. There is an urgent need to evaluate the quality of HMs to ensure their important role in health care and disease treatment, and to reduce the possibility of threat to human health. Modern analytical technology is can be analyzed for analyzing chemical components of HMs or their preparations. Reflecting complex chemical components' characteristic curves in the analysis sample, and the comprehensive effect of active ingredients of HMs. In this review, modern analytical technology (chromatography, spectroscopy, mass spectrometry), chemometrics methods (unsupervised, supervised) and their advantages, disadvantages, and applicability were introduced and summarized. In addition, the authentication application of modern analytical technology combined with chemometrics methods in four aspects, including origin, processing methods, cultivation methods, and adulteration of HMs have also been discussed and illustrated by a few typical studies. This article offers a general workflow of analytical methods that have been applied for HMs authentication and explains that the accuracy of authentication in favor of the quality assurance of HMs. It was provided reference value for the development and application of modern HMs.

Classification of chinese fragrant rapeseed oil based on sensory evaluation and gas chromatography-olfactometry.

Fragrant rapeseed oils and traditional pressed oils are increasingly popular in China owing to their sensory advantages. Many fragrant rapeseed oils are labeled by different fragrance types; however, the scientific basis for these differences is lacking. To identify the distinctive aroma and achieve fragrance classification, the sensory characteristics and aroma components of nine different fragrant rapeseed oils were analyzed via sensory evaluation and gas-chromatography-mass spectrometry-olfactometry. A total of 35 aroma compounds were found to contribute to the overall aroma. By using chemometrics methods, rapeseed oils were categorized into three fragrance styles: "strong fragrance," "umami fragrance," and "delicate fragrance." In total, 10 aroma compounds were predicted to be the most effective compounds for distinguishing sensory characteristics of fragrant rapeseed oil. According to our results, this approach has excellent potential for the fragrance classification and quality control of rapeseed oil.

Real wine or not? Protecting wine with traceability and authenticity for consumers: chemical and technical basis, technique applications, challenge, and perspectives.

Wine is a high-value alcoholic beverage welcomed by consumers because of its flavor and nutritional value. The key information on wine bottle label is the basis of consumers' choice, which also becomes a target for manufacturers to adulterate, including geographical origin, grape variety and vintage. With the improvement of wine adulteration technology, modern technological means are needed to solve the above mentioned problems. The chemical basis of wine determines the type of technique used. Detection technology can be subdivided into four groups: mass spectrometry techniques, spectroscopic techniques, chromatography techniques, and other techniques. Multivariate statistical analysis of the data was performed by means of chemometrics methods. This paper outlines a series of procedures for wine classification and identification, and classified the analytical techniques and data processing methods used in recent years with listing their principles, advantages and disadvantages to help wine researchers choose appropriate methods to meet the challenge and ensure wine traceability and authenticity.

Fraud Detection of Herbal Medicines Based on Modern Analytical Technologies Combine with Chemometrics Approach: A Review.

Fraud in herbal medicines (HMs), commonplace throughout human history, is significantly related to medicinal effects with sometimes lethal consequences. Major HMs fraud events seem to occur with a certain regularity, such as substitution by counterfeits, adulteration by addition of inferior production-own materials, adulteration by chemical compounds, and adulteration by addition of foreign matter. The assessment of HMs fraud is in urgent demand to guarantee consumer protection against the four fraudulent activities. In this review, three analysis platforms (targeted, non-targeted, and the combination of non-targeted and targeted analysis) were introduced and summarized. Furthermore, the integration of analysis technology and chemometrics method (e.g., class-modeling, discrimination, and regression method) have also been discussed. Each integration shows different applicability depending on their advantages, drawbacks, and some factors, such as the explicit objective analysis or the nature of four types of HMs fraud. In an attempt to better solve four typical HMs fraud, appropriate analytical strategies are advised and illustrated with several typical studies. The article provides a general workflow of analysis methods that have been used for detection of HMs fraud. All analysis technologies and chemometrics methods applied can conduce to excellent reference value for further exploration of analysis methods in HMs fraud.

PLS-DA and data fusion of visible Reflectance, XRF and FTIR spectroscopy in the classification of mixed historical pigments.

In this work samples of historical pigments of green hue were brushed on a canvas and studied by Visible Reflectance, X-Ray Fluorescence and Fourier Transform Infrared Spectroscopy. One hundred samples were investigated, all with green hue, these prepared from pigments themselves green, such as chromium oxide (Cr2O3) or from a mixture of pigments that result in green, for example, chrome yellow (PbCrO4) and Prussian blue (Fe4[Fe(CN)6]3). Because every sample investigated through the spectroscopic techniques were of green hue, the characterization of the pigments present in the mixtures through the visual inspection of spectra has become a complex task in some cases, also, due the large number of recorded spectra. In this work, classification models were developed using the multivariate statistical method Partial Least Squares Discriminant Analysis (PLS-DA) to automate the characterization of the pigments present in the mixtures. The models were developed to classify chromium oxide (Cr2O3), chrome yellow (PbCrO4), cerulean blue (CoO.nSnO2) and yellow ochre (Fe2O3·H2O + clay + silica). The models were developed from the fusion of data from the three spectroscopic techniques. However, before data fusion, pre-treatments of the spectral data were tested for their influence on the PLS-DA models. The models developed with data from the three techniques made it possible to classify the pigments of interest in the samples with up to 100% effectiveness. The results also indicate that fusion of the data from the three techniques allows to obtain fingerprints of the pigments of interest, which is not always possible using data from only one or two of the techniques applied in this work.

Phytocannabinoids Profile in Medicinal Cannabis Oils: The Impact of Plant Varieties and Preparation Methods.

Cannabis (Cannabis sativa L.) is a highly promising medicinal plant with well-documented effectiveness and growing use in the treatment of various medical conditions. Cannabis oils are mostly used in galenic preparations, due to their easy adjustment of the administration dose, together with the enhanced bioavailability of its active compounds. As stated by the Italian Law (9/11/2015, 279 Official Gazette), "to ensure the quality of the oil-based cannabis preparation, the titration of the active substance(s) should be carried out." This study aims to represent the Italian panorama of cannabis oils, which were analyzed (8,201) to determine their cannabinoids content from 2017 to 2019. After application of the exclusion criteria, 4,774 standardized cannabis oils were included, which belong to different medicinal cannabis varieties and prepared according to different extraction methods. The concentration of the principal cannabinoids was taken into account dividing samples on the basis of the main extraction procedures and cannabis varieties. According to this analysis, the most substantial variations should be attributed to different cannabis varieties rather than to their extraction protocols. This study may be the starting point of preparatory pharmacists to assess the correct implementation of the preparation procedures and the quality of the extracts.

[Quality evaluation of Magnoliae Officinalis Cortex based on combinative method of fingerprint,quantitative analysis of multicomponents and chemometrics].

This study aims to establish a combinative method based on fingerprint,assay of multi-component and chemometrics for quality evaluation of Magnoliae Officinalis Cortex. Twenty batches of samples were determined by UPLC and a common mode of fingerprint was established. The similarities between fingerprints of 20 batches of samples were over 0. 90 and the common mode were evaluated. Eight components were identified as syringing, magnocurarine, magnoflorine, magnoloside B, magnoloside A, honokiol,magnolol,and piperitylmagnolol by comparison with reference substances and their content in samples were simultaneously determined.Based on the results,the fingerprint had good consistency between the same origin and minor diversity between the different sources.Piperitylmagnolol and peak 13 could be used as a distinction with the different sources. According to content of 8 components,Fisher discriminant analysis model was established and different source sample was classified pursuant to the discriminant fraction. It is indicated that simultaneous quantification of multi components coupled with chemometrics analysis could be a well-acceptable strategy to identify and evaluate the quality of Magnoliae Officinalis Cortex.

[Comparison of eleven active components in Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicero japonica by UPLC].

This present study aims to establish a UPLC method for simultaneously determining eleven components such as new chlorogenic acid,chlorogenic acid,caffeic acid,cryptochlorogenic acid,artichoke,isochlorogenic acid A,isochlorogenic acid B,isochlorogenic acid C,rutin,hibisin and loganin in Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicera japonica and comparing the differences in the contents of phenolic acids,flavonoids and iridoid glycosides of Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicera japonica.The method was carried out on an ACQUITY UPLC BEH C18column(2.1 mm×100 mm,1.7 µm) by a gradient elution using acetonitrile and 0.1% phosphoric acid.The flow rate was 0.3 mL·min-1.The column temperature was maintained at 30 ℃.The sample room temperature was 8 ℃.The wavelength was set at 326 nm for new chlorogenic acid,chlorogenic acid,caffeic acid,cryptochlorogenic acid,artichoke,isochlorogenic acid A,isochlorogenic acid B and isochlorogenic acid C,352 nm for rutin and lignin,and 238 nm for loganin.The injection volume was 1 µL.The eleven components has good resolution and was separated to baseline.Each component had a wide linear range and a good linear relationship(r≥0.999 6),the average recovery rate(n=9) was 98.96%,100.7%,97.24%,97.06%,99.53%,96.78%,98.12%,95.20%,95.12%,100.2%,98.61%and with RSD was 2.5%,1.4%,1.9%,2.1%,1.7%,1.9%,1.6%,2.0%,1.4%,2.2%,2.0%,respectively.Based on the results of the content determination,the chemometric methods such as cluster analysis and principal component analysis were used to compare the Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicera japonica.The results showed that Lonicerae Japonicae Flos and leaves of Lonicera japonica were similar in the chemical constituents,but both showed chemical constituents difference compored to Lonicerae Japonicae Caulis.The established multi-component quantitative analysis method can provide a reference for the quality control of Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicera japonica.

Quality evaluation of Magnoliae Officinalis Cortex based on combinative method of fingerprint,quantitative analysis of multicomponents and chemometrics / 中国中药杂志

This study aims to establish a combinative method based on fingerprint,assay of multi-component and chemometrics for quality evaluation of Magnoliae Officinalis Cortex. Twenty batches of samples were determined by UPLC and a common mode of fingerprint was established. The similarities between fingerprints of 20 batches of samples were over 0. 90 and the common mode were evaluated. Eight components were identified as syringing, magnocurarine, magnoflorine, magnoloside B, magnoloside A, honokiol,magnolol,and piperitylmagnolol by comparison with reference substances and their content in samples were simultaneously determined.Based on the results,the fingerprint had good consistency between the same origin and minor diversity between the different sources.Piperitylmagnolol and peak 13 could be used as a distinction with the different sources. According to content of 8 components,Fisher discriminant analysis model was established and different source sample was classified pursuant to the discriminant fraction. It is indicated that simultaneous quantification of multi components coupled with chemometrics analysis could be a well-acceptable strategy to identify and evaluate the quality of Magnoliae Officinalis Cortex.

Comparison of eleven active components in Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicero japonica by UPLC / 中国中药杂志

This present study aims to establish a UPLC method for simultaneously determining eleven components such as new chlorogenic acid,chlorogenic acid,caffeic acid,cryptochlorogenic acid,artichoke,isochlorogenic acid A,isochlorogenic acid B,isochlorogenic acid C,rutin,hibisin and loganin in Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicera japonica and comparing the differences in the contents of phenolic acids,flavonoids and iridoid glycosides of Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicera japonica.The method was carried out on an ACQUITY UPLC BEH C18column(2.1 mm×100 mm,1.7 μm) by a gradient elution using acetonitrile and 0.1% phosphoric acid.The flow rate was 0.3 mL·min-1.The column temperature was maintained at 30 ℃.The sample room temperature was 8 ℃.The wavelength was set at 326 nm for new chlorogenic acid,chlorogenic acid,caffeic acid,cryptochlorogenic acid,artichoke,isochlorogenic acid A,isochlorogenic acid B and isochlorogenic acid C,352 nm for rutin and lignin,and 238 nm for loganin.The injection volume was 1 μL.The eleven components has good resolution and was separated to baseline.Each component had a wide linear range and a good linear relationship(r≥0.999 6),the average recovery rate(n=9) was 98.96%,100.7%,97.24%,97.06%,99.53%,96.78%,98.12%,95.20%,95.12%,100.2%,98.61%and with RSD was 2.5%,1.4%,1.9%,2.1%,1.7%,1.9%,1.6%,2.0%,1.4%,2.2%,2.0%,respectively.Based on the results of the content determination,the chemometric methods such as cluster analysis and principal component analysis were used to compare the Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicera japonica.The results showed that Lonicerae Japonicae Flos and leaves of Lonicera japonica were similar in the chemical constituents,but both showed chemical constituents difference compored to Lonicerae Japonicae Caulis.The established multi-component quantitative analysis method can provide a reference for the quality control of Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicera japonica.

Quality evaluation of Aurea helianthus by multiwavelength HPLC fingerprint and chemometrics methods / 中草药

Objective: To establish multiwavelength HPLC fingerprint of Aurea helianthus from different batches, and combine quantitative analysis, similarity evaluation, cluster analysis, and principal component analysis to evaluate the quality of A. helianthus. Methods: The chromatographic column was Phenomenex Kinetex C18 (250 mm × 4.6 mm, 5 μm). The mobile phase was composed of 0.08% phosphoric acid water (A) and acetonitrile (B) in gradient elution at a flow rate of 1.0 mL/min, the detection wavelength was set at 260 nm for protocatechuic acid during 0-8 min, 324 nm for caffeic acid during 8-15 min, 360 nm for rutin, hyperin, isoquercitrin, gossypetin-8-O-β-D-glucuronide, myricetin, quercetin-3’-O-glucoside, and quercetin during 15-60 min. The column temperature was set at 30 oC. And the HPLC fingerprint of A. helianthus was established by the similarity evaluation system for chromatographic fingerprint of TCM (Version 2004A) and SPSS19.0, which was used for similarity evaluation, cluster analysis, and principal component analysis. Results: A total of 25 common peaks were confirmed of A. helianthus HPLC fingerprint, and nine peaks were identified which were determined. The similarity of 16 batches of samples was between 0.879 and 0.983; The results of cluster analysis showed that A. helianthus was clustered into two groups, indicating that there were differences in the similarity; Ranked the quality of A. helianthus based on the main component composite score. Conclusion: The method is simple and accurate, which can be used for the comprehensive quality evaluation research of the medicinal materials of A. helianthus.

[Fingerprinting and multi-indicator quantitative analysis of Mongolian drug Digeda-4 decoction].

To establish the high performance liquid chromatography (HPLC) fingerprint for Digeda-4 decoction (DGD-4D), determine the contents of aesculetin, geniposide, picroside Ⅰ, picroside Ⅱ and ellagicacid in DGD-4D, and provide the scientific foundation for quality control of DGD-4D. The analysis was performed on Diamonsil(2) C18 (4.6 mm×250 mm,5 µm) column, with methanol-0.1% phosphoric acid aqueous solution as mobile phase for gradient elution. The flow rate was 1.0 mL·min⁻¹; injection size was 10 µL; temperature was maintained at 30 °C, and the detection wavelength was set at 254 nm. The common mode of DGD-4D HPLC fingerprint was established, and the hidden information was analyzed by Chemometrics. Chromatographic peaks for DGD-4D were identified by HPLC and quantitative analysis was conducted for characteristic peaks. There were 17 common peaks in the fingerprints and the similarity of the fingerprints was over 0.9 in all 15 batches. The samples were broadly divided into four kinds by principal component analysis and clustering analysis. Four marker compounds were verified by partial least squares discriminant analysis, and No. 9, 12 and 14 peaks were identified as geniposide, picroside Ⅱ, and picroside Ⅰ respectively. The average recoveries were in the range of 95.91%-97.31%. The HPLC fingerprint method for content determination is reliable, accurate, rapid, simple, and reproducible, and can be used as one of the effective methods to control the quality of DGD-4D.

Applying Fourier Transform Mid Infrared Spectroscopy to Detect the Adulteration of Salmo salar with Oncorhynchus mykiss.

The aim of this study was to evaluate the potential of Fourier transform infrared (FTIR) spectroscopy coupled with chemometric methods to detect fish adulteration. Muscles of Atlantic salmon (Salmo salar) (SS) and Salmon trout (Onconrhynchus mykiss) (OM) muscles were mixed in different percentages and transformed into mini-burgers. These were stored at 3 °C, then examined at 0, 72, 160, and 240 h for deteriorative microorganisms. Mini-burgers was submitted to Soxhlet extraction, following which lipid extracts were analyzed by FTIR. The principal component analysis (PCA) described the studied adulteration using four principal components with an explained variance of 95.60%. PCA showed that the absorbance in the spectral region from 721, 1097, 1370, 1464, 1655, 2805, to 2935, 3009 cm−1 may be attributed to biochemical fingerprints related to differences between SS and OM. The partial least squares regression (PLS-R) predicted the presence/absence of adulteration in fish samples of an external set with high accuracy. The proposed methods have the advantage of allowing quick measurements, despite the storage time of the adulterated fish. FTIR combined with chemometrics showed that a methodology to identify the adulteration of SS with OM can be established, even when stored for different periods of time.

[Quality evaluation of Artemisiae Argyi Folium based on fingerprint analysis and quantitative analysis of multicomponents].

Artemisiae Argyi Folium, the dried leaves of Artemisia argyi, has been widely used in traditional Chinese and folk medicines for treatment of hemorrhage, pain, and skin itch. Phytochemical studies indicated that volatile oil, organic acid and flavonoids were the main bioactive components in Artemisiae Argyi Folium. Compared to the volatile compounds, the research of nonvolatile compounds in Artemisiae Argyi Folium are limited. In the present study, an accurate and reliable fingerprint approach was developed using HPLC for quality control of Artemisiae Argyi Folium. A total of 10 common peaks were marked，and the similarity of all the Artemisiae Argyi Folium samples was above 0.940. The established fingerprint method could be used for quality control of Artemisiae Argyi Folium. Furthermore, an HPLC method was applied for simultaneous determination of seven bioactive compounds including five organic acids and two flavonoids in Artemisiae Argyi Folium and Artemisiae Lavandulaefoliae Folium samples. Moreover, chemometrics methods such as hierarchical clustering analysis and principal component analysis were performed to compare and discriminate the Artemisiae Argyi Folium and Artemisiae Lavandulaefoliae Folium based on the quantitative data of analytes. The results indicated that simultaneous quantification of multicomponents coupled with chemometrics analysis could be a well-acceptable strategy to identify and evaluate the quality of Artemisiae Argyi Folium.

The Effect of Chain Length on Mid-Infrared and Near-Infrared Spectra of Aliphatic 1-Alcohols.

Effect of the chain length on mid-infrared (MIR) and near-infrared (NIR) spectra of aliphatic 1-alcohols from methanol to 1-decanol was examined in detail. Of particular interest were the spectra-structure correlations in the NIR region and the correlation between MIR and NIR spectra of 1-alcohols. An application of two-dimensional correlation analysis (2D-COS) and chemometric methods provided comprehensive information on spectral changes in the data set. Principal component analysis (PCA) and cluster analysis evidenced that the spectra of methanol, ethanol, and 1-propanol are noticeably different from the spectra of higher 1-alcohols. The similarity between the spectra increases with an increase in the chain length. Hence, the most similar are the spectra of 1-nonanol and 1-decanol. Two-dimensional hetero-correlation analysis is very helpful for identification of the origin of bands and may guide selection of the best spectral ranges for the chemometric analysis. As shown, normalization of the spectra pronounces the intensity changes in various spectral regions and provides information not accessible from the raw data. The spectra of alcohols cannot be represented as a sum of the CH3, CH2, and OH group spectra since the OH group is involved in the hydrogen bonding. As a result, the spectral changes of this group are nonlinear and its spectral profile cannot be properly resolved. Finally, this work provides a lot of evidence that the degree of self-association of 1-alcohols decreases with the increase in chain length because of the growing meaning of the hydrophobic interactions. For butyl alcohol and higher 1-alcohols the hydrophobic interactions are more important than the OH OH interactions. Therefore, methanol, ethanol, and 1-propanol have unlimited miscibility with water, whereas 1-butanol and higher 1-alcohols have limited miscibility with water.

Fingerprinting and multi-indicator quantitative analysis of Mongolian drug Digeda-4 decoction / 中国中药杂志

To establish the high performance liquid chromatography (HPLC) fingerprint for Digeda-4 decoction (DGD-4D), determine the contents of aesculetin, geniposide, picroside Ⅰ, picroside Ⅱ and ellagicacid in DGD-4D, and provide the scientific foundation for quality control of DGD-4D. The analysis was performed on Diamonsil(2) C₁₈ (4.6 mm×250 mm,5 μm) column, with methanol-0.1% phosphoric acid aqueous solution as mobile phase for gradient elution. The flow rate was 1.0 mL·min⁻¹; injection size was 10 μL; temperature was maintained at 30 °C, and the detection wavelength was set at 254 nm. The common mode of DGD-4D HPLC fingerprint was established, and the hidden information was analyzed by Chemometrics. Chromatographic peaks for DGD-4D were identified by HPLC and quantitative analysis was conducted for characteristic peaks. There were 17 common peaks in the fingerprints and the similarity of the fingerprints was over 0.9 in all 15 batches. The samples were broadly divided into four kinds by principal component analysis and clustering analysis. Four marker compounds were verified by partial least squares discriminant analysis, and No. 9, 12 and 14 peaks were identified as geniposide, picroside Ⅱ, and picroside Ⅰ respectively. The average recoveries were in the range of 95.91%-97.31%. The HPLC fingerprint method for content determination is reliable, accurate, rapid, simple, and reproducible, and can be used as one of the effective methods to control the quality of DGD-4D.

Quality evaluation of Artemisiae Argyi Folium based on fingerprint analysis and quantitative analysis of multicomponents / 中国中药杂志

Artemisiae Argyi Folium, the dried leaves of Artemisia argyi, has been widely used in traditional Chinese and folk medicines for treatment of hemorrhage, pain, and skin itch. Phytochemical studies indicated that volatile oil, organic acid and flavonoids were the main bioactive components in Artemisiae Argyi Folium. Compared to the volatile compounds, the research of nonvolatile compounds in Artemisiae Argyi Folium are limited. In the present study, an accurate and reliable fingerprint approach was developed using HPLC for quality control of Artemisiae Argyi Folium. A total of 10 common peaks were marked，and the similarity of all the Artemisiae Argyi Folium samples was above 0.940. The established fingerprint method could be used for quality control of Artemisiae Argyi Folium. Furthermore, an HPLC method was applied for simultaneous determination of seven bioactive compounds including five organic acids and two flavonoids in Artemisiae Argyi Folium and Artemisiae Lavandulaefoliae Folium samples. Moreover, chemometrics methods such as hierarchical clustering analysis and principal component analysis were performed to compare and discriminate the Artemisiae Argyi Folium and Artemisiae Lavandulaefoliae Folium based on the quantitative data of analytes. The results indicated that simultaneous quantification of multicomponents coupled with chemometrics analysis could be a well-acceptable strategy to identify and evaluate the quality of Artemisiae Argyi Folium.