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Phytochemical analysis of different Callicarpa species based on integrating metabolomics and chemometrics. 基于代谢组学和化学计量学的不同 Callicarpa 品种的植物化学分析。
IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-23 DOI: 10.1002/pca.3451
Xiaoxiao Zhang, Qingrui Zhang, Charity Ngina, Peng Lei, Xiaoge Li, Qibao Jiang, Miaomiao Jiang

Introduction: Traditionally, Callicarpa species have been utilized their anti-inflammatory and hemostatic properties. Prominently featured species in the 2020 Edition of the Chinese Pharmacopoeia were Callicarpa nudiflora (CN), Callicarpa macrophylla (CM), Callicarpa formosana (CF), and Callicarpa kwangtungensis (CK), which were formulated into several medicinal preparations. Extensive applications led to the significant depletion of CN's wild resources. The management of germplasm resources was significantly disordered. Adulteration issues were also prevalent.

Objective: It is imperative that the study aims to identify alternative sources for CN and other pharmacopeial varieties and develop methods to distinguish different Callicarpa species.

Results: Data were acquired using three mass spectrometry modes: Data Dependent Analysis (DDA), Data-Independent Analysis (DIA), and full mass spectrometry (MS). The DDA mode identified or inferred information on 54 compounds. The Full MS mode identified or inferred 74 compounds, including 20 that were previously unreported in Callicarpa. These compounds were confirmed using standards. The DIA mode did not facilitate identification due to missing precursor ion data. With metabolomics, 19 differential compounds were identified or inferred. Luteolin, chrysoeriol, and quercetin were selected as potential markers, integrating the 10 active compounds from network pharmacology.

Conclusion: Based on the relative abundance of these markers, it was proposed that Callicarpa giraldii Hesse ex Rehd. var. (CGHRV) and CM could serve as alternative resource species to CN, while CGHRV and Callicarpa giraldii Hesse ex Rehd. (CGHR) could substitute the pharmacopeial CM. Callicarpa longissimi (CLG) was suggested as an alternative to CK, while Callicarpa cathayana (CC) and Callicarpa rubella (CRL) could replace CF. Furthermore, the absence of certain compounds in CK presented a novel opportunity for the differentiation of various Callicarpa species.

简介:传统上,胼胝属植物具有消炎和止血的功效。在 2020 年版《中国药典》中,裸花胼胝属(CN)、大胼胝属(CM)、胼胝属(CF)和光东胼胝属(CK)是主要的特色物种,被配制成多种药剂。广泛的应用导致中国的野生资源严重枯竭。种质资源管理严重混乱。掺假问题也很普遍:当务之急是确定氯化萘和其他药典品种的替代来源,并开发出区分不同马钱子品种的方法:使用三种质谱模式获取数据:结果:采用三种质谱模式获取数据:数据依赖分析(DDA)、数据独立分析(DIA)和全质谱(MS)。DDA 模式识别或推断出 54 种化合物的信息。全质谱模式鉴定或推断出 74 种化合物,包括 20 种以前未在 Callicarpa 中报道过的化合物。这些化合物已通过标准进行了确认。由于前体离子数据缺失,DIA 模式无法帮助鉴定。通过代谢组学,鉴定或推断出 19 种差异化合物。结合网络药理学中的 10 种活性化合物,选择了木犀草素、红景天醇和槲皮素作为潜在的标记物:根据这些标记物的相对丰度,建议长叶女贞(Callicarpa giraldii Hesse ex Rehd.有研究建议,Callicarpa longissimi(CLG)可替代 CK,而 Callicarpa cathayana(CC)和 Callicarpa rubella(CRL)可替代 CF。此外,CK 中某些化合物的缺失为区分不同的 Callicarpa 种类提供了新的机会。
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引用次数: 0
Screening thrombin inhibitors from Yangxinshi tablets by online capillary electrophoresis-based immobilized enzyme microreactor and molecular docking. 基于在线毛细管电泳的固定化酶微反应器和分子对接技术从养心氏片中筛选凝血酶抑制剂
IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-15 DOI: 10.1002/pca.3447
Wenping Liu, Rui Zhou, Jiake Wen, Jin Li, Kunze Du, Jun He, Yaqi Yao, Yanxu Chang

Introduction: Yangxinshi tablet (YXST) is a effective traditional Chinese medicine in treating cardiovascular diseases such as heart failure and myocardial infarction.

Objectives: This study aims to develop a method for screening thrombin inhibitors from YXST using an online immobilized enzyme microreactor (IMER) based on capillary electrophoresis (CE).

Materials and methods: Thrombin (THR) was immobilized on the capillary's inner wall using polydopamine (PDA). The chromogenic substrate S-2238 was employed to assess thrombin (THR) activity and kinetic parameters. The stability and repeatability of the constructed thrombin-immobilized enzyme microreactor (THR-IMER) were evaluated over 40 runs, maintaining 85% of initial activity. The Michaelis-Menten constant (Km) for THR was determined to be 11.98 mM. The half-maximal inhibitory concentration (IC50) and inhibition constant (Ki) for argatroban on THR were calculated. Ten compounds in YXST were screened for THR inhibitory potency using the THR-IMER.

Results: Salvianolic acid B and caffeic acid were identified as potential THR inhibitors in YXST, with inhibition rates at 200 μg/mL of 55.06 ± 6.70% and 31.88 ± 4.79%, respectively, aligning with microplate reader assay results. Molecular docking analysis confirmed their interactions with key THR residues, verifying their inhibitory activity.

Conclusion: The CE-based THR-IMER method was successfully developed for screening thrombin inhibitors from YXST, offering a reliable approach for identifying potential therapeutic compounds.

简介养心氏片(YXST)是治疗心力衰竭和心肌梗死等心血管疾病的有效中药:本研究旨在开发一种基于毛细管电泳(CE)的在线固定化酶微反应器(IMER)筛选养心氏片凝血酶抑制剂的方法:凝血酶(THR)用聚多巴胺(PDA)固定在毛细管内壁上。使用显色底物 S-2238 评估凝血酶(THR)的活性和动力学参数。在保持 85% 初始活性的情况下,对所构建的凝血酶固定化酶微反应器(THR-IMER)进行了 40 次运行,评估了其稳定性和可重复性。确定 THR 的迈克尔斯-门顿常数(Km)为 11.98 mM。计算了阿加曲班对 THR 的半最大抑制浓度(IC50)和抑制常数(Ki)。利用 THR-IMER 筛选了 YXST 中的 10 种化合物对 THR 的抑制效力:结果:丹酚酸 B 和咖啡酸被鉴定为 YXST 中潜在的 THR 抑制剂,在 200 μg/mL 浓度下的抑制率分别为 55.06 ± 6.70% 和 31.88 ± 4.79%,与微孔板阅读器检测结果一致。分子对接分析证实了它们与关键 THR 残基的相互作用,验证了它们的抑制活性:结论:基于 CE 的 THR-IMER 方法成功用于筛选 YXST 凝血酶抑制剂,为鉴定潜在的治疗化合物提供了一种可靠的方法。
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引用次数: 0
Development and validation of a DLLME‐HPLC‐FLD method for determination of aflatoxins in Chrysanthemum morifolium based on quality by design principles 基于设计质量原则开发和验证测定菊花中黄曲霉毒素的 DLLME-HPLC-FLD 方法
IF 3.3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-12 DOI: 10.1002/pca.3445
Linlin Wu, Meixu Chen, Xinyi Huo, Qilin Xu, Xianggang Yin, Xiao Han Zhao, Yifeng Zhou, Jun Huang
IntroductionAflatoxins, potent carcinogens produced by Aspergillus species, present significant health risks and commonly contaminate herbal products such as Chrysanthemum morifolium. Detecting these toxins in C. morifolium proves challenging due to the complex nature of the herbal matrix and the fluctuating levels of toxins found in different samples.ObjectivesThis study aimed to develop and optimize a novel method for the detection of aflatoxins in C. morifolium using dispersive liquid–liquid microextraction combined with high‐performance liquid chromatography‐fluorescence detection based on quality by design principles.MethodologyThe method involved determining critical method attributes and parameters through the Plackett–Burman design, followed by optimization using the Box–Behnken design. Monte Carlo simulation was employed to establish a design space, which was experimentally verified. Method validation was performed to confirm accuracy, precision, and stability.ResultsThe developed method exhibited excellent linearity (R2 > 0.9991) for aflatoxins B1, B2, G1, and G2 across a range of concentrations, with recovery rates between 85.52% and 102.01%. The validated method effectively quantified aflatoxins in C. morifolium under different storage conditions, highlighting the impact of temperature and storage time on aflatoxin production.ConclusionThis study successfully established a reliable and effective method for the detection of aflatoxins in C. morifolium, highlighting the importance of strict storage conditions to reduce aflatoxin contamination. Using a quality by design framework, the method demonstrated robustness and high analytical performance, making it suitable for routine quality control of herbal products.
引言 黄曲霉毒素是由曲霉菌产生的强致癌物质,对健康构成重大威胁,通常会污染菊花等草药产品。由于中草药基质的复杂性和不同样品中毒素含量的波动性,检测菊花中的黄曲霉毒素具有挑战性。本研究旨在根据设计质量原则,利用分散液-液微萃取结合高效液相色谱-荧光检测法,开发并优化检测菊花中黄曲霉毒素的新方法。采用蒙特卡罗模拟建立设计空间,并通过实验验证。结果所开发的方法在一定浓度范围内对黄曲霉毒素 B1、B2、G1 和 G2 具有良好的线性关系(R2 > 0.9991),回收率在 85.52% 至 102.01% 之间。本研究成功地建立了一种可靠有效的方法来检测大花蝉蜕中的黄曲霉毒素,强调了严格的贮藏条件对减少黄曲霉毒素污染的重要性。通过设计质量框架,该方法表现出了稳健性和较高的分析性能,适用于中草药产品的常规质量控制。
{"title":"Development and validation of a DLLME‐HPLC‐FLD method for determination of aflatoxins in Chrysanthemum morifolium based on quality by design principles","authors":"Linlin Wu, Meixu Chen, Xinyi Huo, Qilin Xu, Xianggang Yin, Xiao Han Zhao, Yifeng Zhou, Jun Huang","doi":"10.1002/pca.3445","DOIUrl":"https://doi.org/10.1002/pca.3445","url":null,"abstract":"IntroductionAflatoxins, potent carcinogens produced by Aspergillus species, present significant health risks and commonly contaminate herbal products such as <jats:styled-content style=\"fixed-case\"><jats:italic>Chrysanthemum morifolium</jats:italic></jats:styled-content>. Detecting these toxins in <jats:styled-content style=\"fixed-case\"><jats:italic>C. morifolium</jats:italic></jats:styled-content> proves challenging due to the complex nature of the herbal matrix and the fluctuating levels of toxins found in different samples.ObjectivesThis study aimed to develop and optimize a novel method for the detection of aflatoxins in <jats:styled-content style=\"fixed-case\"><jats:italic>C. morifolium</jats:italic></jats:styled-content> using dispersive liquid–liquid microextraction combined with high‐performance liquid chromatography‐fluorescence detection based on quality by design principles.MethodologyThe method involved determining critical method attributes and parameters through the Plackett–Burman design, followed by optimization using the Box–Behnken design. Monte Carlo simulation was employed to establish a design space, which was experimentally verified. Method validation was performed to confirm accuracy, precision, and stability.ResultsThe developed method exhibited excellent linearity (<jats:italic>R</jats:italic><jats:sup>2</jats:sup> &gt; 0.9991) for aflatoxins B<jats:sub>1</jats:sub>, B<jats:sub>2</jats:sub>, G<jats:sub>1</jats:sub>, and G<jats:sub>2</jats:sub> across a range of concentrations, with recovery rates between 85.52% and 102.01%. The validated method effectively quantified aflatoxins in <jats:styled-content style=\"fixed-case\"><jats:italic>C. morifolium</jats:italic></jats:styled-content> under different storage conditions, highlighting the impact of temperature and storage time on aflatoxin production.ConclusionThis study successfully established a reliable and effective method for the detection of aflatoxins in <jats:styled-content style=\"fixed-case\"><jats:italic>C. morifolium</jats:italic></jats:styled-content>, highlighting the importance of strict storage conditions to reduce aflatoxin contamination. Using a quality by design framework, the method demonstrated robustness and high analytical performance, making it suitable for routine quality control of herbal products.","PeriodicalId":20095,"journal":{"name":"Phytochemical Analysis","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Proanthocyanidins as the marker of amomum fruit from three botanical origins based on comprehensive profiling with LC–MS and GC–MS combined with chemometrics 基于 LC-MS 和 GC-MS 结合化学计量学的综合分析,将原花青素作为三种植物产地的珙桐果实的标志物
IF 3.3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-11 DOI: 10.1002/pca.3450
Kai Deng, Huali Long, Qingqing He, Jinjun Hou, Zijia Zhang, Jing Zhou, Yang Zhou, Minmin Shen, Qiang Yan, Wanying Wu
IntroductionAmomum fruit, also known as Sharen, serves as both a functional food and a traditional Chinese medicine with significant pharmacological activities. However, there are three botanical origins of Amomum fruit: Amomum villosum Lour. (AVL), Amomum villosum Lour. var. xanthioides T. L. (AVX), and Amomum longiligulare T. L. Wu (ALW).ObjectiveConducting a comprehensive chemical composition analysis of Amomum fruit from three botanical origins aims to identify potential differences in metabolic characteristics.MethodsTo annotate the metabolic characteristic ions of multi‐origin Amomum fruit, we employed metabolomic techniques, including ultra‐high‐performance liquid chromatography (LC) coupled with linear ion trap‐Orbitrap–tandem mass spectrometry (MS) and gas chromatography–MS, in conjunction with feature‐based molecular networking technology. Additionally, chemometrics was utilized to examine the correlations between the various botanical origins.ResultsA total of 201 non‐volatile and 151 volatile metabolites were annotated, and most of the proanthocyanidins and flavonoids were identified by feature‐based molecular networking. Additionally, 61 non‐volatile and 45 volatile feature ions were screened out for classification. Principal component analysis, orthogonal projection to latent structures discrimination analysis, and heat map analysis were employed to clearly distinguish the metabolite profiles of Amomum fruit from different origins. Hierarchical clustering analysis indicated that proanthocyanidins C1 and C2, as well as proanthocyanins oligomers, show significant differential expression between AVX and AVL, which could be the new quality markers for the classification.ConclusionClassification of the botanical origin of Amomum fruit based on LC–MS characteristic ions proved to be more advantageous. This study introduces new strategies and technical support for the quality control of Amomum fruit and facilitates the identification of unknown compounds for future research.
引言 苦杏仁又名砂仁,既是一种功能性食品,也是一种具有重要药理作用的传统中药。然而,Amomum 果实有三个植物学来源:Amomum villosum Lour.(AVL), Amomum villosum Lour. var.方法为了注释多产地金丝桃果实的代谢特征离子,我们采用了代谢组学技术,包括超高效液相色谱-线性离子阱-轨道阱-串联质谱和气相色谱-质谱,并结合基于特征的分子网络技术。结果 共对 201 种非挥发性代谢物和 151 种挥发性代谢物进行了注释,并通过基于特征的分子网络技术鉴定出了大部分原花青素和黄酮类化合物。此外,还筛选出 61 个非挥发性和 45 个挥发性特征离子用于分类。通过主成分分析、正交投影潜结构判别分析和热图分析,可以清楚地区分不同产地的杜仲果实的代谢物特征。层次聚类分析表明,原花青素 C1 和 C2 以及原花青素低聚物在 AVX 和 AVL 之间有显著的表达差异,可作为新的质量标记进行分类。这项研究为杜仲果实的质量控制提供了新的策略和技术支持,并为今后研究未知化合物的鉴定提供了便利。
{"title":"Proanthocyanidins as the marker of amomum fruit from three botanical origins based on comprehensive profiling with LC–MS and GC–MS combined with chemometrics","authors":"Kai Deng, Huali Long, Qingqing He, Jinjun Hou, Zijia Zhang, Jing Zhou, Yang Zhou, Minmin Shen, Qiang Yan, Wanying Wu","doi":"10.1002/pca.3450","DOIUrl":"https://doi.org/10.1002/pca.3450","url":null,"abstract":"IntroductionAmomum fruit, also known as Sharen, serves as both a functional food and a traditional Chinese medicine with significant pharmacological activities. However, there are three botanical origins of Amomum fruit: <jats:italic>Amomum villosum</jats:italic> Lour. (AVL), <jats:italic>Amomum villosum</jats:italic> Lour. var. <jats:italic>xanthioides</jats:italic> T. L. (AVX), and <jats:italic>Amomum longiligulare</jats:italic> T. L. Wu (ALW).ObjectiveConducting a comprehensive chemical composition analysis of Amomum fruit from three botanical origins aims to identify potential differences in metabolic characteristics.MethodsTo annotate the metabolic characteristic ions of multi‐origin Amomum fruit, we employed metabolomic techniques, including ultra‐high‐performance liquid chromatography (LC) coupled with linear ion trap‐Orbitrap–tandem mass spectrometry (MS) and gas chromatography–MS, in conjunction with feature‐based molecular networking technology. Additionally, chemometrics was utilized to examine the correlations between the various botanical origins.ResultsA total of 201 non‐volatile and 151 volatile metabolites were annotated, and most of the proanthocyanidins and flavonoids were identified by feature‐based molecular networking. Additionally, 61 non‐volatile and 45 volatile feature ions were screened out for classification. Principal component analysis, orthogonal projection to latent structures discrimination analysis, and heat map analysis were employed to clearly distinguish the metabolite profiles of Amomum fruit from different origins. Hierarchical clustering analysis indicated that proanthocyanidins C1 and C2, as well as proanthocyanins oligomers, show significant differential expression between AVX and AVL, which could be the new quality markers for the classification.ConclusionClassification of the botanical origin of Amomum fruit based on LC–MS characteristic ions proved to be more advantageous. This study introduces new strategies and technical support for the quality control of Amomum fruit and facilitates the identification of unknown compounds for future research.","PeriodicalId":20095,"journal":{"name":"Phytochemical Analysis","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparative chemometric modeling of fresh and dry cannabis inflorescences using FT‐NIR spectroscopy: Quantification and classification insights 利用傅立叶变换近红外光谱对新鲜和干燥大麻花序进行化学计量比较建模:定量和分类见解
IF 3.3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-10 DOI: 10.1002/pca.3449
Matan Birenboim, Nimrod Brikenstein, David Kenigsbuch, Jakob A. Shimshoni
IntroductionCannabis sativa L. inflorescences are rich in cannabinoids and terpenes. Traditional chemical analysis methods for cannabinoids and terpenes, such as liquid and gas chromatography (using UV or MS detectors), are expensive and time‐consuming.ObjectivesThis study explores the use of Fourier transform near‐infrared (FT‐NIR) spectroscopy combined with chemometric approaches for classifying cannabis chemovars and predicting cannabinoid and terpene concentrations for the first time in freshly harvested (wet) cannabis inflorescence. The study also compares the performance of FT‐NIR spectroscopy on wet versus dry cannabis inflorescences.Materials and methodsSpectral data from 187 samples across seven cannabis chemovars were analyzed using partial least squares‐discriminant analysis (PLS‐DA) and partial least squares‐regression (PLS‐R) models.ResultsThe PLS‐DA models effectively classified chemovars and major classes using only two latent variables (LVs) with minimal overfitting risk, with sensitivity, specificity, and accuracy values approaching 1. Despite the high water content in wet cannabis inflorescence, the PLS‐R models demonstrated good to excellent predictive capabilities for nine cannabinoids and eight terpenes using FT‐NIR spectra for the first time, achieving cross‐validation and prediction R‐squared values greater than 0.7, ratio of performance to interquartile range (RPIQ) exceeding 2, and a RMSECV/RMSEC ratio below 1.24. However, the low‐cannabidiolic acid submodel and (−)‐Δ9‐trans‐tetrahydrocannabinol model showed poor predictive performance. Some cannabinoid and terpene prediction models in wet cannabis inflorescence exhibited lower predictive capabilities compared with previously published models for dry cannabis inflorescence.ConclusionsThese findings suggest that FT‐NIR spectroscopy can be a viable rapid on‐site analytical tool for growers during the inflorescence flowering stage.
导言大麻花序中含有丰富的大麻素和萜类化合物。本研究首次探索使用傅立叶变换近红外光谱(FT-NIR)结合化学计量学方法对大麻化学品种进行分类,并预测新收获(湿)大麻花序中的大麻素和萜烯浓度。材料和方法使用偏最小二乘判别分析(PLS-DA)和偏最小二乘回归(PLS-R)模型分析了来自七个大麻化学品种 187 个样本的光谱数据。结果PLS-DA 模型仅使用两个潜变量(LV)就能有效地对化学品种和主要类别进行分类,过拟合风险极低,灵敏度、特异性和准确度值均接近 1。尽管湿大麻花序的含水量很高,但 PLS-R 模型首次使用傅立叶变换近红外光谱对九种大麻素和八种萜烯类化合物表现出良好至卓越的预测能力,交叉验证和预测 R 平方值均大于 0.7,性能与四分位数间范围之比(RPIQ)超过 2,RMSECV/RMSEC 比值低于 1.24。不过,低大麻二酚酸子模型和 (-)-Δ9- 反式四氢大麻酚模型的预测性能较差。与以前公布的干大麻花序预测模型相比,湿大麻花序中的一些大麻素和萜烯预测模型显示出较低的预测能力。
{"title":"Comparative chemometric modeling of fresh and dry cannabis inflorescences using FT‐NIR spectroscopy: Quantification and classification insights","authors":"Matan Birenboim, Nimrod Brikenstein, David Kenigsbuch, Jakob A. Shimshoni","doi":"10.1002/pca.3449","DOIUrl":"https://doi.org/10.1002/pca.3449","url":null,"abstract":"Introduction<jats:styled-content style=\"fixed-case\"><jats:italic>Cannabis sativa</jats:italic></jats:styled-content> L. inflorescences are rich in cannabinoids and terpenes. Traditional chemical analysis methods for cannabinoids and terpenes, such as liquid and gas chromatography (using UV or MS detectors), are expensive and time‐consuming.ObjectivesThis study explores the use of Fourier transform near‐infrared (FT‐NIR) spectroscopy combined with chemometric approaches for classifying cannabis chemovars and predicting cannabinoid and terpene concentrations for the first time in freshly harvested (wet) cannabis inflorescence. The study also compares the performance of FT‐NIR spectroscopy on wet versus dry cannabis inflorescences.Materials and methodsSpectral data from 187 samples across seven cannabis chemovars were analyzed using partial least squares‐discriminant analysis (PLS‐DA) and partial least squares‐regression (PLS‐R) models.ResultsThe PLS‐DA models effectively classified chemovars and major classes using only two latent variables (LVs) with minimal overfitting risk, with sensitivity, specificity, and accuracy values approaching 1. Despite the high water content in wet cannabis inflorescence, the PLS‐R models demonstrated good to excellent predictive capabilities for nine cannabinoids and eight terpenes using FT‐NIR spectra for the first time, achieving cross‐validation and prediction <jats:italic>R</jats:italic>‐squared values greater than 0.7, ratio of performance to interquartile range (RPIQ) exceeding 2, and a RMSECV/RMSEC ratio below 1.24. However, the low‐cannabidiolic acid submodel and (−)‐Δ9‐trans‐tetrahydrocannabinol model showed poor predictive performance. Some cannabinoid and terpene prediction models in wet cannabis inflorescence exhibited lower predictive capabilities compared with previously published models for dry cannabis inflorescence.ConclusionsThese findings suggest that FT‐NIR spectroscopy can be a viable rapid on‐site analytical tool for growers during the inflorescence flowering stage.","PeriodicalId":20095,"journal":{"name":"Phytochemical Analysis","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparative metabolites profiling of different solvent extracts of Asparagus species cladodes using liquid chromatography–mass spectrometry‐based metabolomics and molecular networking 利用基于液相色谱-质谱联用技术的代谢组学和分子网络,比较分析芦笋不同溶剂提取物的代谢物特征
IF 3.3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-10 DOI: 10.1002/pca.3446
Pfano W. Maphari, Mthokozisi B. C. Simelane, Ntakadzeni E. Madala, Msizi I. Mhlongo
IntroductionAsparagus species are naturally distributed worldwide and are known for their pharmacological properties that offer cures for various ailments. However, the metabolic choreography of these Asparagus species is not well characterized, and the compounds contributing to their bioactivities remain unknown.ObjectiveThis study aimed to profile and compare the metabolomes of three Asparagus species cladodes using different solvent extractions.MethodsAn ultra‐high performance liquid chromatography–quadrupole time‐of‐flight mass spectrometry‐based metabolomics and molecular networking approach was used to study the effects of different solvents (ethyl acetate, methanol, and chloroform) with varying polarity on metabolites extraction and identification of bioactive compounds from three Asparagus species cladodes (Asparagus falcatus, Asparagus plumosus, and Asparagus densiflorus ‘Meyersii’).ResultsMultivariate statistical analyses (mainly principal component analysis) revealed a significant separation between the three solvents and the three species, indicating notable metabolic differences. A total of 118 metabolites were identified in the three species extracted with the different solvents, with methanolic and chloroform extracts containing more metabolites compared with ethyl acetate extracts. These metabolites were identified as belonging to the flavonoids, cinnamic acids, organooxygen compounds, steroids, fatty acids, benzenes, and glycerophospholipids compound classes. Furthermore, these compounds classes were differentially distributed among the three species, indicating chemical/chemotaxis differences between the compared species. Chloroform and methanol are recommended as the optimal solvents to obtain a high content of phytochemical compounds from Asparagus species cladodes.
引言 芦笋物种自然分布于世界各地,因其药理特性而闻名,可治疗各种疾病。本研究旨在利用不同的溶剂萃取方法对三种天门冬的代谢组进行分析和比较。方法采用基于超高效液相色谱-四极杆飞行时间质谱的代谢组学和分子网络方法,研究不同极性溶剂(乙酸乙酯、甲醇和氯仿)对从三种芦笋(Asparagus falcatus、Asparagus plumosus 和 Asparagus densiflorus 'Meyersii')中提取代谢物和鉴定生物活性化合物的影响。结果多变量统计分析(主要是主成分分析)显示,三种溶剂和三种芦笋之间存在明显的差异,表明新陈代谢存在明显的不同。用不同溶剂萃取的三个物种共鉴定出 118 种代谢物,其中甲醇和氯仿萃取物比乙酸乙酯萃取物含有更多的代谢物。经鉴定,这些代谢物属于黄酮类、肉桂酸类、有机氧化合物类、类固醇类、脂肪酸类、苯类和甘油磷脂类化合物。此外,这些化合物类别在三个物种中的分布也不同,这表明比较物种之间存在化学/化合作用差异。建议使用氯仿和甲醇作为最佳溶剂,以从芦笋节片中获得高含量的植物化学化合物。
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引用次数: 0
Feature-based molecular networking and MS2LDA analysis for the dereplication of adjacent bis-tetrahydrofuran Annonaceous acetogenins. 基于特征的分子网络和 MS2LDA 分析,用于相邻双四氢呋喃芒柄蜡素的去复制。
IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-05 DOI: 10.1002/pca.3444
Aleksandra Gurgul, Chun-Tao Che

Introduction: Annonaceous acetogenins are a group of natural polyketide compounds possessing notable cytotoxic and antitumor properties. Mass spectrometry (MS) techniques can be used for the structural determination of these compounds, including the location of functional groups along the long alkyl chain.

Objective: This study aims to develop a convenient liquid chromatography (LC)-MS-based method for the dereplication of acetogenins in plant extracts using a molecular networking approach.

Methodology: The LC-electrospray ionization (ESI)-MS/MS spectra of pure adjacent bis-tetrahydrofuran (THF) acetogenins isolated from Uvaria rufa (Annonaceae) were acquired, along with those of the crude ethyl acetate and hexanes fractions of the plant extract, followed by dereplication and molecular networking analysis using the Global Natural Products Social Molecular Networking (GNPS) platform.

Results: A high level of fragmentation of the protonated molecules [M + H]+ was observed at collision energies of 37.5 and 25.0 eV. The application of feature-based molecular networking (FBMN) allowed for distinguishing diastereoisomers based on different retention times in the reversed-phase high-performance liquid chromatography method. The acetogenin possessing one or more additional OH groups on the methyl-terminal chain side of the OH-flanked bis-THF ring unit were grouped separately from those lacking such substructure. Furthermore, the MS2LDA analysis revealed shared Mass2Motifs among acetogenins, confirming the structural relations within the molecular network.

Conclusions: The ESI-MS/MS-based molecular networking method provided an effective strategy for the dereplication of acetogenins in plant extracts. It is anticipated that this molecular networking approach could be extended to other types of acetogenins to facilitate rapid identification of this class of compounds.

简介茴香属植物苷元是一类天然多酮化合物,具有显著的细胞毒性和抗肿瘤特性。质谱(MS)技术可用于确定这些化合物的结构,包括沿长烷基链的官能团的位置:本研究旨在开发一种基于液相色谱(LC)-质谱(MS)的简便方法,利用分子网络方法去除植物提取物中的炔苷元:方法:利用全球天然产品社会分子网络(GNPS)平台,对从 Uvaria rufa(芒柄菊科)中分离得到的纯邻近双四氢呋喃(THF)乙酰苷元以及植物提取物的乙酸乙酯粗馏分和己烷馏分进行去复制和分子网络分析,获得其液相色谱-电喷雾电离(ESI)-MS/MS 图谱:结果:质子化分子[M + H]+ 在 37.5 和 25.0 eV 的碰撞能量下发生了高水平的碎片化。应用基于特征的分子网络(FBMN),可以根据反相高效液相色谱法中不同的保留时间区分非对映异构体。在羟基侧翼双 THF 环单元的甲基末端链侧具有一个或多个额外羟基的乙酰皂苷元与缺乏此类亚结构的乙酰皂苷元被分开分组。此外,MS2LDA 分析还发现了苷元之间共享的 Mass2Motifs,证实了分子网络中的结构关系:基于 ESI-MS/MS 的分子网络方法为植物提取物中萃取苷元的去复制提供了一种有效的策略。预计这种分子网络方法可扩展到其他类型的苷元,以促进该类化合物的快速鉴定。
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引用次数: 0
TLC-bioautography-guided identification and assessment of the antibacterial compounds from Feijoa sellowiana. 利用 TLC 生物自动层析技术鉴定和评估黄花飞燕草中的抗菌化合物。
IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-05 DOI: 10.1002/pca.3448
Wenliang Xu, Danxia Shi, Kuanmin Chen, David G Popovich

Introduction: A rapid procedure was developed for the targeted isolation and assessment of antibacterial compounds from plant-based materials. The effectiveness of this method was demonstrated using Feijoa sellowiana fruit peels.

Objective: The objectives of this study are as follows: develop an efficient procedure utilizing direct thin-layer chromatography (TLC)-bioautography to facilitate the targeting, identification, and purification of antibacterial compounds from plant extracts and delineate a method based on TLC-bioautography to determine the minimum effective dose (MED), alongside a colorimetric broth microdilution aided by high-performance liquid chromatography (HPLC) for evaluating the isolated active compounds.

Methodology: Active compounds were targeted using TLC-bioautography against Staphylococcus aureus, and the identification was achieved through liquid chromatography-mass spectrometry (LC-MS) combined with Compound Discoverer. Purification was carried out using a customized separation method. The structure was confirmed using nuclear magnetic resonance (NMR) spectroscopy. The MED, minimum inhibitory concentration (MIC), and minimum bactericidal concentration (MBC) were determined by two enhanced antibacterial assays.

Results: The main antibacterial compound identified was flavone. A TLC-bioautography-based antibacterial assay and a colorimetric broth microdilution assisted by HPLC were described as the enhanced antibacterial assay protocols. The MED, MIC, and MBC of flavone against S. aureus were found to be 4.2-5.2 μg/cm2, 225-275 μg/mL, and 550-650 μg/mL, respectively. Similarly, the MED, MIC, and MBC against Escherichia coli were determined to be 5.2-6.1 μg/cm2, 325-375 μg/mL, and 375-425 μg/mL, respectively.

Conclusion: This study proposed an enhanced bioassay-guided separation technique for the isolation of antibacterial compounds from plants, along with two improved methods for assessing the antibacterial efficacy of insoluble or colored compounds.

介绍:开发了一种从植物材料中定向分离和评估抗菌化合物的快速程序。该方法的有效性已在飞黄果果皮中得到验证:本研究的目标如下:利用直接薄层色谱(TLC)-生物自动层析技术开发一种高效的程序,以促进从植物提取物中定向分离、鉴定和纯化抗菌化合物;确定一种基于 TLC-生物自动层析技术的方法,以确定最小有效剂量(MED),同时利用高效液相色谱(HPLC)辅助比色肉汤微稀释法评估分离出的活性化合物:采用 TLC 生物自动层析法对金黄色葡萄球菌进行活性化合物靶标定位,并结合 Compound Discoverer 通过液相色谱-质谱联用仪(LC-MS)进行鉴定。采用定制的分离方法进行了纯化。利用核磁共振(NMR)光谱确认了其结构。通过两种增强抗菌试验确定了 MED、最低抑菌浓度 (MIC) 和最低杀菌浓度 (MBC):结果:鉴定出的主要抗菌化合物是黄酮。基于 TLC-生物自动层析的抗菌测定法和 HPLC 辅助的比色肉汤微稀释法被描述为增强型抗菌测定法。结果发现,黄酮对金黄色葡萄球菌的 MED、MIC 和 MBC 分别为 4.2-5.2 μg/cm2、225-275 μg/mL、550-650 μg/mL。同样,对大肠杆菌的 MED、MIC 和 MBC 分别为 5.2-6.1 μg/cm2、325-375 μg/mL 和 375-425 μg/mL:本研究提出了一种用于从植物中分离抗菌化合物的增强型生物测定指导分离技术,以及两种用于评估不溶性或有色化合物抗菌功效的改进方法。
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引用次数: 0
Insight into the compositional variation of volatile and polar compounds of Radix Bupleuri from different processing technologies by GC-MS and UHPLC-Q-TOF/MS metabolomics. 利用 GC-MS 和 UHPLC-Q-TOF/MS 代谢组学深入研究不同加工技术生产的柴胡挥发性和极性化合物的成分变化。
IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-04 DOI: 10.1002/pca.3426
Jiaxi Li, Chengye Yan, Jiahao Li, Xin Yong, Siming Han, Xiaotong Yang, Jie Du, Huijun Xu

Introduction: Insight into comparing key active ingredients of Radix Bupleuri (RB) based on different processing technologies is a key step to reveal the material basis of drug efficacy and a challenging task for developing traditional Chinese medicine (TCM).

Objective: This work aims to establish a comprehensive comparative analysis method of TCM and its processed products, which can be used to analyze the changing trend of active components of RB before and after processing.

Methods: First, RB was processed with rice vinegar, rice wine, and honey. Then, ultra-high-performance liquid chromatography (UHPLC) and gas chromatography (GC) coupled with mass spectrometry (MS) technology as well as multiple statistical analyses were used to comprehensively evaluate the compositional variation of polar and volatile compounds in RB under different processing processes. Meanwhile, in UHPLC-MS, a sequential window acquisition of all theoretical fragment ion spectral and information-dependent acquisition mutual authentication (SIMA) was developed.

Results: A total of 30 polar components and 33 volatile components were identified as chemical markers (mainly type II saikosaponins, terpenes, and fatty acid esters). These may be the material basis for giving unique pharmacological activities to RB and its processed products.

Conclusions: These findings provided a solid foundation for the differentiated clinical application of RB, and the SIMA method held great potential for achieving accurate analysis of TCM processing ingredients.

简介:根据不同的加工技术比较柴胡的主要有效成分是揭示药物疗效物质基础的关键步骤,也是中药开发的一项艰巨任务:本研究旨在建立中药及其加工品的综合对比分析方法,用于分析加工前后柴胡有效成分的变化趋势:方法:首先用米醋、米酒和蜂蜜对 RB 进行加工。方法:首先用米醋、米酒和蜂蜜加工枸杞,然后采用超高效液相色谱(UHPLC)和气相色谱-质谱(GC)技术以及多种统计分析方法,综合评价枸杞在不同加工过程中极性化合物和挥发性化合物的组成变化。同时,在超高效液相色谱-质谱(UHPLC-MS)中,开发了所有理论片段离子谱的顺序窗口采集和信息依赖采集相互认证(SIMA)技术:结果:共鉴定出 30 种极性成分和 33 种挥发性成分作为化学标记(主要是第二类茜草皂苷、萜烯和脂肪酸酯)。这些可能是赋予 RB 及其加工产品独特药理活性的物质基础:这些发现为雷公藤的临床应用提供了坚实的基础,SIMA 方法在实现中药加工成分的精确分析方面具有巨大的潜力。
{"title":"Insight into the compositional variation of volatile and polar compounds of Radix Bupleuri from different processing technologies by GC-MS and UHPLC-Q-TOF/MS metabolomics.","authors":"Jiaxi Li, Chengye Yan, Jiahao Li, Xin Yong, Siming Han, Xiaotong Yang, Jie Du, Huijun Xu","doi":"10.1002/pca.3426","DOIUrl":"https://doi.org/10.1002/pca.3426","url":null,"abstract":"<p><strong>Introduction: </strong>Insight into comparing key active ingredients of Radix Bupleuri (RB) based on different processing technologies is a key step to reveal the material basis of drug efficacy and a challenging task for developing traditional Chinese medicine (TCM).</p><p><strong>Objective: </strong>This work aims to establish a comprehensive comparative analysis method of TCM and its processed products, which can be used to analyze the changing trend of active components of RB before and after processing.</p><p><strong>Methods: </strong>First, RB was processed with rice vinegar, rice wine, and honey. Then, ultra-high-performance liquid chromatography (UHPLC) and gas chromatography (GC) coupled with mass spectrometry (MS) technology as well as multiple statistical analyses were used to comprehensively evaluate the compositional variation of polar and volatile compounds in RB under different processing processes. Meanwhile, in UHPLC-MS, a sequential window acquisition of all theoretical fragment ion spectral and information-dependent acquisition mutual authentication (SIMA) was developed.</p><p><strong>Results: </strong>A total of 30 polar components and 33 volatile components were identified as chemical markers (mainly type II saikosaponins, terpenes, and fatty acid esters). These may be the material basis for giving unique pharmacological activities to RB and its processed products.</p><p><strong>Conclusions: </strong>These findings provided a solid foundation for the differentiated clinical application of RB, and the SIMA method held great potential for achieving accurate analysis of TCM processing ingredients.</p>","PeriodicalId":20095,"journal":{"name":"Phytochemical Analysis","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142133461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comprehensive identification of polyphenolic metabolites in aspen knotwood by combination of 2D NMR and HPLC-HRMS. 结合二维 NMR 和 HPLC-HRMS 全面鉴定杨木中的多酚代谢物。
IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-02 DOI: 10.1002/pca.3443
Anna V Faleva, Danil I Falev, Aleksandra A Onuchina, Nikolay V Ulyanovskii, Dmitry S Kosyakov

Introduction: European aspen (Populus tremula L.) knotwood contains large amounts of polyphenolic metabolites, mainly flavonoids, and can be considered as a promising industrial-scale source of valuable bioactive compounds. Valorization of knotwood extractives requires detailed information on their chemical composition and a relevant analytical methodology.

Objective: This study proposes combined analytical strategy for non-targeted screening and identification of polyphenolic plant metabolites and is aimed at comprehensive characterization of knotwood extractives.

Materials and methods: Aspen knotwood acetone extract with determined antioxidant activity was an object of the study. Two-dimensional NMR spectroscopy with Structure Elucidator expert system was used for preliminary search of major components and specific structures. Liquid chromatography-high-resolution mass spectrometry (HPLC-HRMS) with data-dependent MS/MS spectra acquisition was used as a complementary technique providing molecular-level characterization and identification of the detected metabolites.

Results: Twenty-eight phenolic metabolites were found and identified. Among them, flavonoids, aromadendrin and naringenin, as well as their glycosylated derivatives (mainly O-glucosides) and methyl ethers, dominated. Taxifolin and its 7-O-glucoside were detected as minor components. Other detected compounds are represented by p-coumaric acid and its rutinoside and small amounts of glycosylated ferulic acid. Nineteen of the detected compounds were discovered in aspen knotwood for the first time. The results were confirmed by preparative isolation of individual compounds and NMR studies.

Conclusion: The proposed analytical strategy based on 2D NMR and HPLC-HRMS can be considered a powerful tool in the analysis of plant extractives and allowed for the identification and semi-quantification of a large number of polyphenols in aspen knotwood.

导言:欧洲山杨(Populus tremula L.)结材含有大量多酚代谢物,主要是黄酮类化合物,可被视为有价值生物活性化合物的一种有前途的工业级来源。节疤材提取物的价值评估需要有关其化学成分的详细信息和相关的分析方法:本研究提出了非靶向筛选和鉴定植物多酚代谢物的组合分析策略,旨在全面鉴定结缕草提取物的特征:研究对象为具有确定抗氧化活性的杨木结香丙酮提取物。使用二维核磁共振光谱和 Structure Elucidator 专家系统对主要成分和特定结构进行了初步搜索。液相色谱-高分辨质谱(HPLC-HRMS)与数据相关的 MS/MS 图谱采集技术作为补充技术,为检测到的代谢物提供分子级表征和鉴定:结果:发现并鉴定了 28 种酚类代谢物。结果:共发现并鉴定出 28 种酚类代谢物,其中以黄酮类、芳香丹皮苷和柚皮苷及其糖基化衍生物(主要是 O-葡萄糖苷)和甲基醚为主。检测到的次要成分是紫杉叶素及其 7-O-葡萄糖苷。检测到的其他化合物包括对香豆酸及其芸香甙和少量糖基化阿魏酸。检测到的化合物中有 19 种是首次在杨木中发现。个别化合物的制备分离和核磁共振研究证实了这一结果:结论:基于二维 NMR 和 HPLC-HRMS 的拟议分析策略可被视为植物提取物分析的有力工具,可对杨树结香中的大量多酚进行鉴定和半定量。
{"title":"Comprehensive identification of polyphenolic metabolites in aspen knotwood by combination of 2D NMR and HPLC-HRMS.","authors":"Anna V Faleva, Danil I Falev, Aleksandra A Onuchina, Nikolay V Ulyanovskii, Dmitry S Kosyakov","doi":"10.1002/pca.3443","DOIUrl":"https://doi.org/10.1002/pca.3443","url":null,"abstract":"<p><strong>Introduction: </strong>European aspen (Populus tremula L.) knotwood contains large amounts of polyphenolic metabolites, mainly flavonoids, and can be considered as a promising industrial-scale source of valuable bioactive compounds. Valorization of knotwood extractives requires detailed information on their chemical composition and a relevant analytical methodology.</p><p><strong>Objective: </strong>This study proposes combined analytical strategy for non-targeted screening and identification of polyphenolic plant metabolites and is aimed at comprehensive characterization of knotwood extractives.</p><p><strong>Materials and methods: </strong>Aspen knotwood acetone extract with determined antioxidant activity was an object of the study. Two-dimensional NMR spectroscopy with Structure Elucidator expert system was used for preliminary search of major components and specific structures. Liquid chromatography-high-resolution mass spectrometry (HPLC-HRMS) with data-dependent MS/MS spectra acquisition was used as a complementary technique providing molecular-level characterization and identification of the detected metabolites.</p><p><strong>Results: </strong>Twenty-eight phenolic metabolites were found and identified. Among them, flavonoids, aromadendrin and naringenin, as well as their glycosylated derivatives (mainly O-glucosides) and methyl ethers, dominated. Taxifolin and its 7-O-glucoside were detected as minor components. Other detected compounds are represented by p-coumaric acid and its rutinoside and small amounts of glycosylated ferulic acid. Nineteen of the detected compounds were discovered in aspen knotwood for the first time. The results were confirmed by preparative isolation of individual compounds and NMR studies.</p><p><strong>Conclusion: </strong>The proposed analytical strategy based on 2D NMR and HPLC-HRMS can be considered a powerful tool in the analysis of plant extractives and allowed for the identification and semi-quantification of a large number of polyphenols in aspen knotwood.</p>","PeriodicalId":20095,"journal":{"name":"Phytochemical Analysis","volume":null,"pages":null},"PeriodicalIF":3.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142120444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Phytochemical Analysis
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