Analysis of characteristic aromas of buckwheat with different germplasm using gas chromatography-mass spectrometry combined with chemometrics and multivariate statistical analysis.

In this study, the volatile components in 40 samples of Tartary buckwheat and common buckwheat from 6 major producing areas in China were analyzed. A total of 77 volatile substances were identified, among which aldehydes and hydrocarbons were the main volatile components. Odor activity value analysis revealed 26 aromatic compounds, with aldehydes making a significant contribution to the aroma of buckwheat. Seven key compounds that could be used to distinguish Tartary buckwheat from common buckwheat were identified. The orthogonal partial least squares-discriminant analysis was effectively used to classify Tartary buckwheat and common buckwheat from different producing areas. This study provides valuable information for evaluating buckwheat quality, breeding high-quality varieties, and enhancing rational resource development.

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.

Geographical classification of opium samples from Myanmar and Afghanistan by NMR profiling and chemometrics.

This study presents a new strategy to discriminate between opium samples obtained from different geographical regions. Nuclear magnetic resonance (NMR) profiling and chemometrics were applied to geographical classification of opium originating from Myanmar and Afghanistan, which are two major opium producing countries in the world. A total of 50 Myanmar and 46 Afghanistan authentic opium samples were analyzed by 1 H-NMR, and the chemical profiles were characterized. Different sample preparation procedures, data processing methods, and chemometrics were compared to obtain the best classification effect. It was found that drying and the addition of buffer solutions were unnecessary for classification purposes; thus, the gum opium samples were extracted directly with CD3 OD, which shortened sample preparation time. A full discrimination between the two geographical origins was achieved by 1 H-NMR profiling and orthogonal partial least squares discriminant analysis. All 30 opium samples were classified correctly by the developed orthogonal partial least squares discriminant analysis model. Compared with traditional chromatography and mass spectrometry profiling methods, the 1 H-NMR profiling method was faster (with instrument analysis time of less than 3 min) and reproducible. This study provides new insights into the applying of NMR profiling and chemometrics to rapid drug profiling analysis.

Comparing Different Chemometric Approaches to Detect Adulteration of Cold-Pressed Flaxseed Oil with Refined Rapeseed Oil Using Differential Scanning Calorimetry.

Flaxseed oil is one of the best sources of n-3 fatty acids, thus its adulteration with refined oils can lead to a reduction in its nutritional value and overall quality. The purpose of this study was to compare different chemometric models to detect adulteration of flaxseed oil with refined rapeseed oil (RP) using differential scanning calorimetry (DSC). Based on the melting phase transition curve, parameters such as peak temperature (T), peak height (h), and percentage of area (P) were determined for pure and adulterated flaxseed oils with an RP concentration of 5, 10, 20, 30, and 50% (w/w). Significant linear correlations (p ≤ 0.05) between the RP concentration and all DSC parameters were observed, except for parameter h1 for the first peak. In order to assess the usefulness of the DSC technique for detecting adulterations, three chemometric approaches were compared: (1) classification models (linear discriminant analysis-LDA, adaptive regression splines-MARS, support vector machine-SVM, and artificial neural networks-ANNs); (2) regression models (multiple linear regression-MLR, MARS, SVM, ANNs, and PLS); and (3) a combined model of orthogonal partial least squares discriminant analysis (OPLS-DA). With the LDA model, the highest accuracy of 99.5% in classifying the samples, followed by ANN > SVM > MARS, was achieved. Among the regression models, the ANN model showed the highest correlation between observed and predicted values (R = 0.996), while other models showed goodness of fit as following MARS > SVM > MLR. Comparing OPLS-DA and PLS methods, higher values of R2X(cum) = 0.986 and Q2 = 0.973 were observed with the PLS model than OPLS-DA. This study demonstrates the usefulness of the DSC technique and importance of an appropriate chemometric model for predicting the adulteration of cold-pressed flaxseed oil with refined rapeseed oil.

Distinct serum steroid profiles between adrenal Cushing syndrome and Cushing disease.

Background: Differentiating between adrenal Cushing syndrome (adrenal CS) and Cushing disease (CD) can be challenging if there are equivocal or falsely elevated adrenocorticotropic hormone (ACTH) values. We aim to investigate the diagnostic value of serum steroid profiles in differentiating adrenal CS from CD. Method: A total of 11 serum steroids in adrenal CS (n = 13) and CD (n = 15) were analyzed by liquid chromatography with tandem mass spectrometry (LC-MS/MS). Age- and gender-specific steroid ratios were generated by dividing the actual steroid concentration by the upper limit of the relevant reference range. A principal component analysis (PCA) and an orthogonal partial least squares discriminant analysis (OPLS-DA) were performed. Results: The PCA and OPLS-DA analyses showed distinct serum steroid profiles between adrenal CS and CD. Dehydroepiandrosterone sulfate (DHEA-S), dehydroepiandrosterone (DHEA), and androstenedione ratios were identified as biomarkers for discrimination by variable importance in projection (VIP) in combination with t-tests. The sensitivity and specificity of DHEA-S ratios <0.40 were 92.31% (95% CI 64.0%-99.8%) and 93.33% (95% CI 68.1%-99.8%), respectively, in identifying adrenal CS. The sensitivity and specificity of DHEA ratios <0.18 were 100% (95% CI 75.3%-100.0%) and 100% (95% CI 78.2%-100.0%), respectively, in identifying adrenal CS. Conclusion: Our data support the clinical use of the DHEA-S and DHEA ratios in the differential diagnosis of adrenal CS and CD, especially when falsely elevated ACTH is suspected.

LC/MS-based discrimination between plasma and urine metabolomic changes following exposure to ultraviolet radiation by using data modelling.

INTRODUCTION: This study sought to compare between metabolomic changes of human urine and plasma to investigate which one can be used as best tool to identify metabolomic profiling and novel biomarkers associated to the potential effects of ultraviolet (UV) radiation. METHOD: A pilot study of metabolomic patterns of human plasma and urine samples from four adult healthy individuals at before (S1) and after (S2) exposure (UV) and non-exposure (UC) were carried out by using liquid chromatography-mass spectrometry (LC-MS). RESULTS: The best results which were obtained by normalizing the metabolites to their mean output underwent to principal components analysis (PCA) and Orthogonal Partial least squares-discriminant analysis (OPLS-DA) to separate pre-from post-of exposure and non-exposure of UV. This separation by data modeling was clear in urine samples unlike plasma samples. In addition to overview of the scores plots, the variance predicted-Q2 (Cum), variance explained-R2X (Cum) and p-value of the cross-validated ANOVA score of PCA and OPLS-DA models indicated to this clear separation. Q2 (Cum) and R2X (Cum) values of PCA model for urine samples were 0.908 and 0.982, respectively, and OPLS-DA model values were 1.0 and 0.914, respectively. While these values in plasma samples were Q2 = 0.429 and R2X = 0.660 for PCA model and Q2 = 0.983 and R2X = 0.944 for OPLS-DA model. LC-MS metabolomic analysis showed the changes in numerous metabolic pathways including: amino acid, lipids, peptides, xenobiotics biodegradation, carbohydrates, nucleotides, Co-factors and vitamins which may contribute to the evaluation of the effects associated with UV sunlight exposure. CONCLUSIONS: The results of pilot study indicate that pre and post-exposure UV metabolomics screening of urine samples may be the best tool than plasma samples and a potential approach to predict the metabolomic changes due to UV exposure. Additional future work may shed light on the application of available metabolomic approaches to explore potential predictive markers to determine the impacts of UV sunlight.

Rapid Identification of Benign Gallbladder Diseases Using Serum Surface-Enhanced Raman Spectroscopy Combined with Multivariate Statistical Analysis.

In this study, we looked at the viability of utilizing serum to differentiate between gallbladder (GB) stones and GB polyps using Surface-enhanced Raman spectroscopy (SERS), which has the potential to be a quick and accurate means of diagnosing benign GB diseases. Rapid and label-free SERS was used to conduct the tests on 148 serum samples, which included those from 51 patients with GB stones, 25 patients with GB polyps and 72 healthy persons. We used an Ag colloid as a Raman spectrum enhancement substrate. In addition, we employed orthogonal partial least squares discriminant analysis (OPLS-DA) and principal component linear discriminant analysis (PCA-LDA) to compare and diagnose the serum SERS spectra of GB stones and GB polyps. The diagnostic results showed that the sensitivity, specificity, and area under curve (AUC) values of the GB stones and GB polyps based on OPLS-DA algorithm reached 90.2%, 97.2%, 0.995 and 92.0%, 100%, 0.995, respectively. This study demonstrated an accurate and rapid means of combining serum SERS spectra with OPLS-DA to identify GB stones and GB polyps.

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.

Comparison on volatile components between Artemisiae Verlotori Folium and Artemisiae Argyi Folium based on GC-MS and chemometrics / 中国中药杂志

Artemisiae Argyi Folium is commonly used in clinical practice. Artemisiae Verlotori Folium, the dried leaves of Artemisia verlotorum, is often used as a folk substitute for Artemisiae Argyi Folium in Lingnan area. In this study, gas chromatography-triple quadrupole mass spectrometry(GC-MS) was used to detect the volatile oil components of 27 samples of Artemisiae Verlotori Folium and 13 samples of Artemisiae Argyi Folium, and the volatile components were compared between the two species. The internal standard method was combined with multi-reaction monitoring mode(MRM) to determine the content of six major volatile components. Hierarchical clustering analysis(HCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were carried out for the content data. The results showed that the Artemisiae Argyi Folium samples had higher content and more abundant volatile oils than the Artemisiae Verlotori Folium samples. Artemisiae Argyi Folium mainly had the components with lower boiling points, while Artemisiae Verlotori Folium mainly had the components with higher boiling points. Terpenoids were the main volatile components in Artemisiae Verlotori Folium(mainly sesquiterpenoids) and Artemisiae Argyi Folium(monoterpenoids). In addition, Artemisiae Argyi Folium had higher content of oxygen-containing derivatives than Artemisiae Verlotori Folium. Furthermore, the stoichiometric analysis showed that the two species could be distinguished by both HCA and OPLS-DA, indicating that the volatile components of the two were significantly different. This study can provide a scientific basis for the quality evaluation and data support for the local rational application of Artemisiae Verlotori Folium in Lingnan.

[Comparison on volatile components between Artemisiae Verlotori Folium and Artemisiae Argyi Folium based on GC-MS and chemometrics].

Artemisiae Argyi Folium is commonly used in clinical practice. Artemisiae Verlotori Folium, the dried leaves of Artemisia verlotorum, is often used as a folk substitute for Artemisiae Argyi Folium in Lingnan area. In this study, gas chromatography-triple quadrupole mass spectrometry(GC-MS) was used to detect the volatile oil components of 27 samples of Artemisiae Verlotori Folium and 13 samples of Artemisiae Argyi Folium, and the volatile components were compared between the two species. The internal standard method was combined with multi-reaction monitoring mode(MRM) to determine the content of six major volatile components. Hierarchical clustering analysis(HCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were carried out for the content data. The results showed that the Artemisiae Argyi Folium samples had higher content and more abundant volatile oils than the Artemisiae Verlotori Folium samples. Artemisiae Argyi Folium mainly had the components with lower boiling points, while Artemisiae Verlotori Folium mainly had the components with higher boiling points. Terpenoids were the main volatile components in Artemisiae Verlotori Folium(mainly sesquiterpenoids) and Artemisiae Argyi Folium(monoterpenoids). In addition, Artemisiae Argyi Folium had higher content of oxygen-containing derivatives than Artemisiae Verlotori Folium. Furthermore, the stoichiometric analysis showed that the two species could be distinguished by both HCA and OPLS-DA, indicating that the volatile components of the two were significantly different. This study can provide a scientific basis for the quality evaluation and data support for the local rational application of Artemisiae Verlotori Folium in Lingnan.

Effect of cooking modes on quality and flavor characteristic in Clitocybe squamulose chicken soup.

The effects of cooking modes [cooking in stainless-steel pot (SS), ceramic pot (CP), and electrical ceramic stewpot (EC) with different stewing time] on chemical compositions, whiteness, 5'-nucleotides, fatty acids (FAs), sensory quality and flavor substances in chicken soup added Clitocybe squamulose (Pers.) Kumm (a natural edible fungus) were investigated. The results showed that CP chicken soup had higher soluble solid matter (5.83 g/100 mL), total sugar (2.38 mg/mL), crude protein (7.58 g/100 g), and 5'-nucleotides (325.53 mg/mL) than EC and SS chicken soups. 48 volatile flavor compounds, mainly aldehydes and alkanes, were found by gas chromatography-mass spectrometry (GC-MS), and the characteristic flavor substances were identified by Principal component analysis (PCA) and orthogonal partial least squares discrimination analysis (OPLS-DA). Hexanal, (E,E)-2,4-decadienal and 3-methyl-hexadecane were the most abundant differential volatile compounds in the CP chicken soup. Additionally, the results of sensory evaluation showed that the chicken soup cooked in CP had the higher values of aroma, taste, and overall acceptability. Our results indicate that CP mode might be the best option for cooking chicken soup. This study provides a new perspective in the improvement of the quality and flavor of chicken soup by using an appropriate cooking mode. Theoretical support for the use of various cooking modes is also discussed to improve the quality of chicken soup at home and in the industry.

Comparative Analysis of Aristolochic Acids in Aristolochia Medicinal Herbs and Evaluation of Their Toxicities.

Aristolochic acids (AAs) are a group of nitrophenanthrene carboxylic acids present in many medicinal herbs of the Aristolochia genus that may cause irreversible hepatotoxicity, nephrotoxicity, genotoxicity and carcinogenicity. However, the specific profile of AAs and their toxicity in Aristolochia plants, except for AAs Ι and ΙΙ, still remain unclear. In this study, a total of 52 batches of three medicinal herbs belonging to the Aristolochia family were analyzed for their AA composition profiles and AA contents using the UPLC-QTOF-MS/MS approach. The studied herbs were A. mollissima Hance (AMH), A. debilis Sieb.etZucc (ADS), and A. cinnabaria C.Y.Cheng (ACY). Chemometrics methods, including PCA and OPLS-DA, were used for the evaluation of the Aristolochia medicinal herbs. Additionally, cytotoxicity and genotoxicity of the selected AAs and the extracts of AMH and ADS were evaluated in a HepG2 cell line using the MTT method and a Comet assay, respectively. A total of 44 AAs, including 23 aristolochic acids and 21 aristolactams (ALs), were detected in A. mollissima. Moreover, 41 AAs (23 AAs and 18 ALs) were identified from A. debilis Sieb, and 45 AAs (29 AAs and 16 ALs) were identified in A. cinnabaria. Chemometrics results showed that 16, 19, and 22 AAs identified in AMH, ADS, and ACY, respectively, had statistical significance for distinguishing the three medicinal herbs of different origins. In the cytotoxicity assay, compounds AL-BΙΙ, AAΙ and the extract of AMH exhibited significant cytotoxicities against the HepG2 cell line with the IC50 values of 0.2, 9.7 and 50.2 µM, respectively. The results of the Comet assay showed that AAΙ caused relatively higher damage to cellular DNA (TDNA 40-95%) at 50 µM, while AAΙΙ, AMH and ADS extracts (ranged from 10 to 131 µM) caused relatively lower damage to cellular DNA (TDNA 5-20%).

[Quality evaluation of Fufang Jinqiancao granules based on ultra performance liquid chromatography-ultraviolet detection quantitative fingerprint combined with chemical pattern recognition].

Fufang Jinqiancao granules have a large market demand due to the fact that they contain diuretics, inhibit urinary calculi formation, and exhibit both anti-inflammatory and antioxidant effects. In the current study, a fast and efficient quantitative ultra performance liquid chromatography-ultraviolet detection (UPLC-UV) fingerprinting method was established to analyze the Fufang Jinqiancao granules, while a chemical pattern recognition technology was used to evaluate the quality of the granules over different years. More specifically, the UPLC-UV system consisted of a Waters Acquity UPLC BEH C18 column (100 mm×2.1 mm, 1.7 µm), acetonitrile (mobile phase A), and a 0.1% formic acid aqueous solution (mobile phase B), wherein a gradient elution protocol was followed. Ultra performance liquid chromatography-quadrupole-time of flight-mass spectrometry (UPLC-Q-TOF-MS, Agilent Infinity Ⅱ 1290-6545) was used in combination with reference substances and literature comparisons to identify the common peaks present in the quantitative fingerprint. The fingerprints of 35 batches of Fufang Jinqiancao granules were established by means of the quantitative UPLC-UV fingerprinting method, and the fingerprint data obtained for these samples were further analyzed by chemical pattern recognition techniques, including hierarchical cluster analysis (HCA) and principal component analysis (PCA). The quality difference markers, namely mangiferin and isomangiferin, were screened, and their contents were determined. It was found that 12 common peaks existed in the fingerprint of the Fufang Jinqiancao granules, and the similarities of all 35 batches of samples were greater than 0.952. In addition, for the purpose of HCA, the 35 batches were divided into two categories, of which sample years 2018 and 2019 belonged to one category, and sample years 2020 and 2021 belonged to another category. Notably, PCA gave the same clustering trends as HCA. Based on the obtained results, the mangiferin and isomangiferin components responsible for the differences between the 2018, 2019 and 2020, 2021 samples were further screened by orthogonal partial least squares discriminant analysis (OPLS-DA). Moreover, the contents of the 35 batches of samples were determined using the two differential markers mangiferin and isomangiferin as indicators. The obtained results indicated that the chromatographic peaks of all 35 batches had acceptable resolutions, with mangiferin exhibiting a good linear relationship in the range of 5.3291-133.2276 mg/L, and isomangiferin exhibiting a similar linear relationship in the range of 4.1847-104.6170 mg/L. The average recovery of mangiferin was 101.7%-105.6%, with a relative standard deviation (RSD) of 0.63%-1.43%, while that of isomangiferin was 103.4%-105.5%, with an RSD of 0.60%-1.18%. Importantly, all RSD values were less than 1.43%, thereby indicating that our method meets the requirements of the Chinese Pharmacopoeia (2020 Edition). Among the 35 batches of samples, the contents of mangiferin and isomangiferin were higher in the 2020 and 2021 samples, and the content fluctuation range was smaller. Overall, the development of an accurate and reliable quality control method for Fufang Jinqiancao granules, and a reasonable and effective quality evaluation of Fufang Jinqiancao granule samples from different years was realized. We therefore expect that this study will provide a reference for establishing a more systematic and comprehensive quality control system.

Analysis and Comparison of Aroma Compounds of Brown Sugar in Guangdong, Guangxi and Yunnan Using GC-O-MS.

Guangdong, Guangxi and Yunnan are the three provinces in China that yield the most brown sugar, a brown-red colored solid or powdered sugar product made from sugar cane. In the present study, the differences between odor compounds of brown sugar from Guangdong, Guangxi, and Yunnan provinces in China were compared and analyzed by gas chromatography-olfactometry-mass spectrometry (GC-O-MS). A total of 80 odor compounds, including 5 alcohols, 9 aldehydes, 8 phenols, 21 acids, 14 ketones, 5 esters, 12 pyrazines, and 6 other compounds, were detected. The fingerprint analysis of the brown sugar odor compounds showed 90% similarity, indicating a close relationship among the odor properties of brown sugar in each province. Moreover, the orthogonal partial least squares discriminant analysis (OPLS-DA) was performed to identify the compounds contributing to the volatile classification of the brown sugar from three provinces, which confirmed that OPLS-DA could be a potential tool to distinguish the brown sugar of three origins.

Characterization of the aroma compounds of Millet Huangjiu at different fermentation stages.

Millet Huangjiu (MHJ), a type of northern Huangjiu with a long history, has attracted considerable attention in China and East Asia for its unique flavor. To elucidate the changing course of aroma components during the fermentation process of MHJ, 15 MHJ samples prepared at different fermentation stages were assessed by gas chromatography-olfactometry (GC-O) and odor activity value (OAV) coupled with multivariate data analysis. A total of 66 volatile compounds were identified, among which 21 odorant active substances were regarded as the main aroma components (OAVs ≥ 1). The numbers and contents of esters in MHJs accumulated with the extension of fermentation time. Ethanol, ethyl acetate, phenylethyl alcohol and other 7 aromatic substances are the key flavoring agents in the final fermented MHJ. Orthogonal partial least squares-discriminant analysis (OPLS-DA) showed that 14 volatile compounds (formic acid, ethanol, etc.) are supposed to be the key substances that cause significant differences in MHJ flavor at different fermentation stages.

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.

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.

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.