Phytochemical Analysis最新文献

Introduction: The identification of Aucklandiae Radix (AR), Vladimiriae Radix (VR), and Inulae Radix (IR) based on traits and microscopic features is susceptible to the state of samples and the subjective awareness of personnel, and the identification based on a few or single chemical compositions is a cumbersome and time-consuming procedure and fails to rationally and effectively utilize the information of unknown components and is not specificity enough.

Objectives: This study aimed to improve the identification efficiency, strengthen supervision, and realize digital identification of three Chinese medicines. Ultra-high-performance liquid chromatography with quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) combined with multivariate algorithms was used to explore the digital identification of AR, VR, and IR.

Materials and methods: UHPLC-QTOF-MS was used to analyze AR, VR, and IR. The MS data combined with multivariate algorithms such as partial least squares discrimination analysis (PLS-DA) and artificial neural networks (ANNs) was used to filter important variables and data modeling. Finally, the optimal model was selected for the digital identification of three herbs.

Results: The results showed that three herbs can be distinguished on the whole level, and through feature screening, 591 characteristic variables combined with multivariate algorithms to construct data models. The ANN model was the best with accuracy = 0.983, precision = 0.984, and external verification showed the reliability and practicability of ANN model.

Conclusion: ANN model combined with MS data is of great significance for tdigital identification of AR, VR, and IR. It is an important reference for developing the digital identification of traditional Chinese medicines at the individual level based on UHPLC-QTOF-MS and multivariate algorithms.

Introduction: Frankincense is used for analgesic, tumor-suppressive, and anti-inflammatory treatments in Traditional Chinese Medicine but poses toxicological concerns. Vinegar processing is a common technique used to reduce the toxicity of frankincense.

Objective: This study aimed to investigate the chemical composition and quality evaluation of raw and vinegar-processing frankincense by multiple UPLC-MS/MS techniques. Additionally, we purposed refining the vinegar processing technique and identifying potentially harmful ingredients in the raw frankincense.

Methodology: Sub-chronic oral toxicity studies were conducted on raw and vinegar-processing frankincense in rats. The composition of frankincense was identified by UPLC-Q-TOF-MS/MS. Chemometrics were used to differentiate between raw and vinegar-processing frankincense. Potential chemical markers were identified by selecting differential components, which were further exactly determined by UPLC-QQQ-MS/MS. Moreover, the viability of the HepG2 cells of those components with reduced contents after vinegar processing was assessed.

Results: The toxicity of raw frankincense is attenuated by vinegar processing, among which vinegar-processing frankincense (R40) (herb weight: rice vinegar weight = 40:1) exhibited the lowest toxicity. A total of 83 components were identified from frankincense, including 40 triterpenoids, 37 diterpenoids, and 6 other types. The contents of six components decreased after vinegar-processing, with the lowest levels in R40. Three components, specifically 3α-acetoxy-11-keto-β-boswellic acid (AKBA), 3α-acetoxy-α-boswellic acid (α-ABA), and 3α-acetoxy-β-boswellic acid (β-ABA), inhibited the viability of HepG2 cells. The processing of frankincense with vinegar at a ratio of 40:1 could be an effective method of reducing the toxicity in raw frankincense.

Conclusion: Our research improves understanding of the toxic substance basis and facilitates future assessments of frankincense quality.

Objective: Cannabis sativa L. is renowned for its medicinal and recreational uses. With the increasing global legalization of C. sativa L.-based products for medicinal purposes, there is a growing need for well-characterized products. While the stability of cannabinoids such as tetrahydrocannabinol and cannabidiol is well understood, information on the chemical and enantiomeric stability of terpenes remains scarce. This is despite the fact that terpenes are also thought to have pharmacological activity and may contribute to the overall effect of C. sativa L.

Methods: To address these challenges, four analytical methods based on chiral, polar, and apolar gas chromatographic separation combined with either MS or FID detection were developed and validated. These methods successfully separated and quantified a total of 29 terpenes, including 13 enantiomers and 5 diastereomers specific to C. sativa L. Furthermore, terpenes and authentic C. sativa L. flowers and extracts were subjected to UV and heat treatments to observe potential degradation reactions over time.

Results: Each terpene generates a unique pattern of degradation products resulting in a diverse array of oxidation and cyclization products. P-cymene was identified as a major product of terpene aging. Notably, no enantiomeric conversion was detected, suggesting that the formation of (-)-α-pinene in cannabis extracts, for example, originates from other terpenes.

Conclusion: Terpenes have different degradation rates, even though they are structurally similar. In addition, cultivar- and growth-condition-specific enantiomeric ratios were observed in C. sativa L., confirming that enantiomer production is species-specific and has to be considered for therapeutical applications.

Introduction: Sophora flavescens Aiton (Fabaceae), a ubiquitous plant species in Asia, contains a wide range of pharmacologically active compounds, such as flavonoids, with potential anti-Alzheimer's disease (anti-AD) effects.

Objectives: The objective of the study is to develop a quaternity method for the screening, isolation, extraction optimization, and activity evaluation of acetylcholinesterase (AChE)-inhibiting compounds from S. flavescens to realize high-throughput screening of active substances in traditional Chinese medicine and to provide experimental data for the development of anti-AD drugs.

Methods: With AChE as the target molecule, affinity ultrafiltration and liquid chromatography-mass spectrometry were applied to screen for potential inhibitors of the enzyme in S. flavescens. Orthogonal array experiments combined with the multi-objective Non-Dominated Sorting Genetic Algorithm III was used for the first time to optimize the process for extracting the active substances. Enzyme inhibition kinetics and molecular docking studies were performed to verify the potential anti-AD effects of the active compounds.

Results: Five AChE-inhibiting compounds were identified: kushenol I, kurarinone, sophoraflavanone G, isokurarinone, and kushenol E. These were successfully separated at purities of 72.88%, 98.55%, 96.86%, 96.74%, and 95.84%, respectively, using the n-hexane/ethyl acetate/methanol/water (4.0/5.0/4.0/5.0, v/v/v/v), n-hexane/ethyl acetate/methanol/water (5.0/5.0/6.0/4.0, v/v/v/v), and n-hexane/ethyl acetate/methanol/water (4.9/5.1/5.7/4.3, v/v/v/v) mobile phase systems. Enzyme inhibition kinetics revealed that kushenol E had the best inhibitory effect.

Conclusion: This study elucidates the mechanism of action of five active AChE inhibitors in S. flavescens and provides a theoretical basis for the screening and development of anti-AD and other therapeutic drugs.

Introduction: Phyllanthus emblica L., renowned for its pharmacological benefits found in its fruits and leaves, has received considerable attention. However, there is a notable lack of research on its flowers, specifically on metabolite profiling and pharmacological activity.

Objective: The present study aims to delineate the phytochemical constituents of hydromethanolic extract of P. emblica flowers by ultra-high-performance liquid chromatography coupled with quadrupole time of flight mass spectrometry (UHPLC-QToF-MS), high-performance thin layer chromatography (HPTLC), high-performance liquid chromatography (HPLC), infrared and nuclear magnetic resonance spectroscopic methods and subsequent evaluation of its anti-inflammatory potential.

Materials and methods: The identification and characterization of phytochemicals in P. emblica flowers was performed by UHPLC/MS-QToF in both positive and negative ionization modes. Additionally, marker compounds present in flower extract were analyzed using HPTLC, HPLC, FT-IR, and NMR methods. The anti-inflammatory potential was evaluated in lipopolysaccharide-stimulated THP-1 macrophages by evaluating inflammatory biomarkers.

Results: UHPLC/MS-QToF analysis facilitated the identification of 51 compounds from P. emblica flowers including gallic acid derivatives, flavonoid glycosides, and tannins based on their fragmentation patterns and previous literature reports. Notably, the study also identified spermidine compounds for the first time in this species. Optimization of HPTLC and HPLC methods marked the presence of corilagin as major compound followed by FT-IR and NMR spectral methods. Moreover, treatment with hydromethanolic extract of P. emblica flowers resulted in decreased levels of proinflammatory cytokines, TNF-α, IL-1β, and IL-6, alongside modulation of nuclear factor-κB activity in lipopolysaccharide-induced THP-1 macrophages.

Conclusion: Chromatographic techniques in conjunction with spectral methods found robust prevalence in the identification of signature phytometabolites present in P. emblica flowers, which sets the basis for its anti-inflammatory potentials. The studies established a foundation for further exploration of potential applications of P. emblica flowers across various domains.

Introduction: Co-elution is a common challenge in phytochemical chromatography. Full chromatographic separation often requires extensive optimization, long analysis times, and excessive solvent use. A viable alternative could be mathematical elution of analytes using three-dimensional decomposition.

Objectives: This study aimed to develop a method to determine chlorogenic acid in Melampyrum stenophyllum Boiss. extracts without complete chromatographic separation, to validate the method, and to cross-validate assay results against a classical ultra-performance liquid chromatography (UPLC) method.

Methodology: Ultra-performance liquid chromatography-photodiode array (UPLC-PDA) spectrochromatograms were arranged into a three-way data cube with dimensions of time, wavelength, and sample and then decomposed using parallel factor analysis to reveal chromatographic, spectral, and concentration profiles. The chromatographic and spectral profiles were used to identify chlorogenic acid in overlapping signals. The relative concentration profile was used to quantify it in the plant extract. The assay results were statistically compared with those from an in-house classical UPLC method.

Results: Chlorogenic acid was co-eluted at 1.45 min and quantified as 16.11 mg per gram dry weight of Melampyrum stenophyllum extracts (SD = 0.28), despite significant interference in a 4-min runtime. The analytical validity was confirmed by recovery calculations from standard solutions and standard addition samples (RSD < 2%), and the t-test resulted in a p-value of 0.09 (α = 0.05), indicating no significant difference between the results obtained from mathematical elution and chromatographic separation.

Conclusion: Chlorogenic acid was quantified from plant material accurately despite the co-elution. Validation and cross-validation results support the method's applicability.

Introduction: Studies show that Pinelliae Rhizoma Praeparatum (PRP) has some pharmacological effects in enhancing immunity and against gout.

Objectives: A mathematical model was created for extraction process optimization, analysis and identification, activity screening, and isolation and purification; moreover, the mechanism of action was studied.

Methods: First, the extraction of PRP was investigated using the gray wolf optimization mathematical regression model; the extraction variables were optimized to maximize the yield. Second, we used network pharmacological analysis to predict potential targets for PRP in treating gout; xanthine oxidase inhibitors (XODIs) were rapidly screened using AUF-MS and enzyme-catalyzed reaction kinetics. The potential antigout effects of the obtained active substances were verified using molecular docking and molecular dynamics simulation analysis. Finally, with activity screening as the guide, an HSCCC method combined with consecutive injection using the UNIFAC mathematical model and semipreparative HSCCC was successfully developed for the separation and purification of XODIs.

Results: The results verified that uridine, guanosine, adenosine, liquiritin, and liquiritigenin of PRP exhibited high biological affinity toward XOD.

Conclusion: This study clarifies the mechanisms of action of a medicinal plant of interest at the molecular level and can provide more opportunities for the discovery and development of new therapeutic drugs from other food resources.

Objectives: We used ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS), bioinformatics, and in vivo experiments to study the anti-colorectal cancer (CRC) effects of Wenzi Jiedu Decoction (WJD).

Methods: Detected the main components of WJD by UPLC-MS/MS. Obtained WJD targets and CRC targets through the open source database. Analyzed the WJD-CRC targets from a macro perspective by PPI, GO, and KEGG analyses. Validated bioinformatics findings by molecular docking and animal experiments.

Results: This study obtained 91 active compounds and 240 targets of WJD. Intersection with CRC genes (GSE32323 388 DEGs, GSE 215510 1253 DEGs), 36 WJD-CRC common targets were obtained. PPI and enrichment analyses indicated WJD exerted anti-CRC effects mainly through the chemokine signaling pathway and apoptosis. Quercetin, Luteolin, Kaempferol, Formononetin, Stigmasterol, and Hederagenin were the main compounds of WJD. CXCL8, BCL-2, BAX, BCL2L1, CASP3, AKT1, and TP53 were the core targets of WJD-CRC. Bulk molecular docking showed that core WJD compounds had good docking activity with WJD-CRC targets. Animal experiments had shown the tumor inhibition rate of the WJD group was 36.53%. WJD could regulate the ratio of CD4+, CD8+, and CD4+/CD8+, reduce the expression of CXCL8, and BCL-2, and increase the expression of BAX.

Conclusions: This study indicated that the potential mechanism of WJD in the prevention and treatment of CRC had the characteristics of the multi-target, multi-path, and multi-system mechanisms, which were mainly related to the regulation of chemokines and the promotion of apoptosis.

Introduction: The extraction of DNA is the basis of molecular biology research. The quality of the extracted DNA is one of the key factors for the success of molecular biology experiments.

Objective: To select a suitable DNA extraction method for Chinese medicinal herbs and seeds.

Methods: In this experiment, four commercial DNA extraction kits were used to extract the genomic DNA (gDNA) from the Pinellia ternata (Thunb.) Breit. powder; Arisaema amurense Maxim. powder as well as the seeds of Glycine max (L.) Merr. On the one hand, the concentration and purity of DNA extracted by these four kits were compared. On the other hand, nucleic acid amplification experiments were performed on three samples extracted by each of the four kits by Proofman-LMTIA methods, which is a novel nucleic acid isothermal amplification technique. The concentration and purity of DNA extracted by different kits were used to determine which methods were suitable for the dry powder of Chinese herbal medicines and seeds. The efficiency of the amplification curve to show whether the extracted DNA can be used in nucleic acid amplification experiments.

Results: The results showed that the Proofman-LMTIA methods were of high specificity and the optimal reaction temperatures were 63, 59, and 59°C for P. ternata (Thunb.) Makino; A. amurense Maxim. and G. max (L.) Merr., respectively. The concentration and purity of the gDNAs extracted with all kits were within the acceptable ranges; meanwhile, the amplification of the gDNA extracted by Kit II was of the highest efficiency.

Conclusion: In this experiment, the principle, concentration, purity, and time taken for extracting DNA with four kits were compared. The automated extraction kit based on the magnetic method is suitable for extracting DNA from Chinese medicinal herbs and seeds. The extracted DNA is suitable for nucleic acid amplification detection.

Introduction: The roots and rhizomes of Curcuma longa L. serve as distinct traditional Chinese medicines with varying therapeutic effects, likely attributed to differences in the accumulation and distribution of metabolites in these parts.

Objective: The study aims to investigate the differences and spatial distribution patterns of metabolites in C. longa L. roots and rhizomes.

Methods: Metabolite analysis of roots and rhizomes was conducted using ultra-high-performance liquid chromatography-quadruple orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS) combined with desorption electrospray ionization mass spectrometry imaging (DESI-MSI). Using principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) to screen for differential metabolites. The relative contents of differential metabolites were visualized using heat maps. Additionally, the spatial distribution of differential metabolites was analyzed based on DESI-MSI.

Results: A total of 49 main chemical components were identified in roots and rhizomes using UHPLC-Q-Orbitrap HRMS. Through nontargeted metabolomics analysis combining UHPLC-Q-Orbitrap HRMS with PCA and OPLS-DA, 24 differential markers were identified; Additionally, using DESI-MSI alongside PCA and OPLS-DA, 18 differential markers were selected. Based on the DESI-MSI results, curcuminoids and sesquiterpenoids, including bisdemethoxycurcumin, demethoxycurcumin, furanodienone, furanogermenone, furanodiene, β-elemene, and curzerene, were more abundant in the rhizomes compared to the roots. And these differential compounds exhibited spatial distribution differences in the epidermis, phloem, and xylem between the roots and rhizomes.

Conclusion: The metabolomics analysis using UHPLC-Q-Orbitrap HRMS combined with DESI-MSI suggest differences in the accumulation and spatial distribution of metabolites in C. longa L. roots and rhizomes, possibly related to the biosynthesis of secondary metabolites.