Phytochemical Analysis最新文献

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: Kratom (leaves from Mitragyna speciosa Korth.; Rubiaceae) is a herbal medicine known for its analgesic properties and psychoactive effects. Kratom in Thailand is currently legal; however, it is prohibited in some countries and considered a narcotic plant.

Objective: Our aim was to establish a reliable, simple, and rapid method for quantifying mitragynine in Kratom leaves and related products through a combination of high-performance thin-layer chromatography (HPTLC) and densitometry.

Methodology: A densitometric HPTLC method was developed and validated in terms of specificity, linearity, limit of detection (LOD), limit of quantification (LOQ), accuracy, precision, and robustness. The fingerprints of kratom leaves, Mitragyna spp., and related products were constructed.

Results: For HPTLC, samples were applied to silica gel 60 F₂₅₄ plates, and the mobile phase comprised n-hexane, ethyl acetate, and triethylamine (1:1:0.15, v/v/v). Densitometric detection was carried out under ultraviolet light at a wavelength of 226 nm. The validated method exhibited a range of 14.31-143.10 μg/mL, yielding a correlation coefficient of 0.9993. Spiked recovery rates were within a range of 98.3%-100.9%, and the LOD and LOQ were 3.80 and 11.53 μg/mL, respectively. Kratom samples were analyzed with the developed method, and the correlation coefficient was 0.9641, compared to the high-performance liquid chromatography-diode-array detection (HPLC-DAD) method. The HPTLC fingerprints displayed a distinctive pattern, facilitating discrimination among different plant parts and Mitragyna spp.

Conclusion: The established method offers the advantages of simplicity, ease of use, and speed of analysis, serving as a practical alternative for mitragynine quantification in kratom leaf and its related products.

Introduction: Andrographolide is a bioactive component found in the medicinal herb Andrographis paniculata (Burm. f.) Wall. ex Nees (Family-Acanthaceae) is well-known for its ability to cure liver disorders and as a bitter tonic.

Objective: In this study, the rate of degradation of andrographolide was examined over the course of a year of storage.

Materials and methods: New and old (1-year storage) A. paniculata powder samples were used in the study. High-performance liquid chromatography (HPLC) was used to assess the concentration of andrographolide after its extraction using ethanol as the solvent.

Results: The findings demonstrated a 69.26% progressive deterioration of andrographolide over the storage period. Temperature and crystallinity are two factors that affect how quickly andrographolide degrades.

Conclusion: The results emphasize how crucial it is to retain the effectiveness of A. paniculata extract by avoiding prolonged storage or by providing ideal storage conditions.

Introduction: Astragaloside IV (AS-IV) is an index for the quality evaluation of the traditional Chinese medicine Astragalus and an important material basis for Astragalus to exert its medicinal effects, and it is difficult to obtain a single AS-IV by ordinary separation methods.

Objective: To find a new isolation method that can prepare AS-IV quickly and efficiently.

Methodology: AS-IV was isolated from Astragalus membranaceus extract by high-speed countercurrent chromatography using a two-phase solvent system consisting of ethyl acetate/n-butanol/water (4.2:0.8:5, v/v) at a speed of 950 rpm at a flow rate of 2 mL/min using one of the high-speed countercurrent chromatographic sequential injection models developed during the previous study.

Results: Compared with the common countercurrent chromatographic separation, this separation method increased the injection volume and yield by 4-fold and 4.47-fold, respectively, with only about 1.2-fold increase in solvent consumption and separation time, and the purity was basically not reduced, and 55.9 mg of AS-IV, with a purity of 96.95%, was finally prepared from 400 mg of the crude extract in 240 min.

Conclusion: The continuous injection mode of high-speed countercurrent chromatography was able to successfully prepare a large amount of AS-IV with high purity at one time.

Introduction: Osteoporosis, one of the common bone diseases, manifests itself as a decrease in bone mass. Recently, the use of medicinal plants in the search for effective and low-toxicity therapeutics for the prevention or treatment of osteoporosis has become a trending topic.

Objective: In this study, we aim to prepare a controlled drug carrier system loaded with Gypsophila eriocalyx to determine its potential for anti-osteoporosis applications.

Methods: Gypsophila eriocalyx extract (GEE) was prepared, and components were determined. The molecular interactions of the components with Cathepsin K (CatK), which is used as a target in drug development against osteoporosis, were revealed by in silico molecular docking and MD methods. ADMET profiles were also examined. GEE-loaded chitosan nanoparticles (CNPs) were synthesized. The nanoparticles' morphology, encapsulation efficiency, loading capacity, release profile, average size, polydispersity index, and zeta potentials were determined. The cytotoxic effects of GEE and GEE-loaded CNPs on the L929 and osteogenic proliferation profiles on human bone marrow stem cells (hBMC) were examined.

Results: The MD analysis revealed no breaks or atomic changes in the dynamic system, and the docking analysis confirmed the continued interaction of identical residues. It was determined that the GEE-loaded CNP formulation was produced successfully, had no toxic effect on the L929, and had an osteogenic proliferation effect on hBMC.

Conclusion: In line with the in vitro and in silico results obtained, it was evaluated that GEE-loaded CNPs can be used as a controlled drug release system as a candidate formulation with phytotherapeutic properties for osteoporosis treatment.q1.

Introduction: Cannabis sativa is a highly versatile plant with a long history of cultivation and domestication. It produces multiple compounds that exert distinct and valuable therapeutic effects by modulating diverse biological systems, including the endocannabinoid system (ECS). Access to standardized, metabolically diverse, and reproducible C. sativa chemotypes and chemovars is essential for physicians to optimize individualized patient treatment and for industries to conduct drug-discovery campaigns.

Objective: This study aimed to characterize and assess the phytochemical diversity of C. sativa chemotypes in diverse ecological regions of Colombia, South America.

Methodology: Ten cannabinoids and 23 terpenes were measured using liquid and gas chromatography, in addition to other phenotypic traits, in 156 C. sativa plants that were grown in diverse ecological regions in Colombia, a hotspot for global biodiversity.

Results: Our results reveal significant phytochemical diversity in Colombian-grown C. sativa plants, with four distinct chemotypes based on cannabinoid profile. The significant amount of usually uncommon terpenes suggests that Colombia's environments may have unique capabilities that allow the plant to express these compounds. Colombia's diverse climates offer enormous cultivation potential, making it a key player in both domestic and international medicinal and recreational C. sativa trade.

Conclusion: These findings underscore Colombia's capacity to pioneer global C. sativa production diversification, particularly in South America with new emerging markets.

Introduction: Chinese herbal medicines have been utilized for thousands of years to prevent and treat diseases. Accurate identification is crucial since their medicinal effects vary between species and varieties. Metabolomics is a promising approach to distinguish herbs. However, current metabolomics data analysis and modeling in Chinese herbal medicines are limited by small sample sizes, high dimensionality, and overfitting.

Objectives: This study aims to use metabolomics data to develop HerbMet, a high-performance artificial intelligence system for accurately identifying Chinese herbal medicines, particularly those from different species of the same genus.

Methods: We propose HerbMet, an AI-based system for accurately identifying Chinese herbal medicines. HerbMet employs a 1D-ResNet architecture to extract discriminative features from input samples and uses a multilayer perceptron for classification. Additionally, we design the double dropout regularization module to alleviate overfitting and improve model's performance.

Results: Compared to 10 commonly used machine learning and deep learning methods, HerbMet achieves superior accuracy and robustness, with an accuracy of 0.9571 and an F1-score of 0.9542 for distinguishing seven similar Panax ginseng species. After feature selection by 25 different feature ranking techniques in combination with prior knowledge, we obtained 100% accuracy and an F1-score for discriminating P. ginseng species. Furthermore, HerbMet exhibits acceptable inference speed and computational costs compared to existing approaches on both CPU and GPU.

Conclusions: HerbMet surpasses existing solutions for identifying Chinese herbal medicines species. It is simple to use in real-world scenarios, eliminating the need for feature ranking and selection in classical machine learning-based methods.

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: The recovery process for bioactives from discarded by-products of the winemaking industry is of great value considering both environmental and economic aspects.

Objective: The goal of this study is to investigate the extraction of phenolic antioxidants from grape (Vitis vinifera) seeds by means of carboxylic acid-based deep eutectic solvents (DESs) in order to propose an environmentally friendly method based on a multivariate optimization approach.

Material and methods: Carboxylic acid-based DESs were designed with several molar ratios (1/1, 1/2, and 2/1). Two polyols (glycerol and ethylene glycol) were used as hydrogen bond donors, while formic acid, acetic acid, and propionic acid were selected as hydrogen bond acceptors. The process parameters (water content, extraction time, and solid mass) were analyzed to optimize the process through Box-Behnken design with response surface method, after determination of the best combination for the highest total phenolic content (TPC) and the antioxidant activity yields.

Results: The maximum TPC yield (153.17 ± 0.003 mg-GAE/g-GS) and antioxidant activity yield (82.26 ± 0.004 mg-GAE/g-GS) were achieved by 50% water addition into the DES (ethylene glycol/acetic acid, 1/1), 85 sec extraction time, and 0.1 g grape seed.

Introduction: Dendrobium is a perennial herb of the genus Dendrobium in the orchid family. Generally, Dendrobium officinale (TP) and Dendrobium huoshanense (HS) are both considered to have the function of yin-nourishing, while Dendrobium nobile (JC) has better efficacy of heat-clearing. However, because of the wide variety of Dendrobium species, the classification and clinical application of Dendrobium are often confused clearly distinguished in different medicinal uses.

Objective: In order to compare the differentially accumulated metabolites (DAMs) and differentially expressed genes (DEGs) of the three Dendrobium.

Methods: We selected TP, HS, and JC cultivated on stone for metabolomic and transcriptomic analyses between 2 and 3 years.

Results: The results showed that a total of 489 metabolites were obtained, including 72 were DAMs. The 72 DAMs were mainly enriched in metabolic pathways and biosynthesis of secondary metabolites. Transcriptome analysis results showed that 1,038 annotated DEGs were identified among the three Dendrobium species. The comprehensive analysis showed that the three Dendrobium differed in the distribution of the content of four major active components: flavonoids, amino acids, alkaloids, and sugars and alcohols, among which the DAMs and DEGs were mainly enriched in metabolic pathways and secondary metabolite biosynthesis.

Conclusion: In this study, metabolomics and transcriptomics were utilized to compare the differences among the three species of Dendrobium, to provide theoretical references for future research and selection of different species of Dendrobium based on different medicinal uses, and to lay the foundation for further research on the biosynthesis of flavonoids in Dendrobium.