ultrahigh-performance liquid chromatography

超高效液相色谱法
  • 文章类型: Journal Article
    鞘脂,包括鞘氨醇和鞘氨醇,是脂质的主要类别之一。它们充当细胞膜和脂质筏的成分,并有助于细胞间通讯和粘附的性能。房水中鞘脂的异常水平可以表明鞘脂代谢受损和相关的眼部病变。鞘脂可以通过甲基-叔丁基醚(MTBE)脂质提取方法从房水中提取,然后通过液相色谱-质谱(LC-MS)进行分析。本章描述了从房水中提取MTBE脂质的改良方案,然后用超高效液相色谱-质谱(UHPLC-MS)分析。
    Sphingolipids, including sphingosine and sphinganine, are one of the major classes of lipids. They serve as constituents of cell membranes and lipid rafts and aid in the performance of cell-cell communication and adhesion. Abnormal levels of sphingolipids in the aqueous humor can indicate impaired sphingolipid metabolism and associated ocular pathologies. Sphingolipids can be extracted from the aqueous humor by the methyl-tert-butyl ether (MTBE) lipid extraction method and subsequently analyzed by liquid chromatography-mass spectrometry (LC-MS). This chapter describes a modified protocol for an MTBE lipid extraction from the aqueous humor, followed by analysis with ultrahigh-performance liquid chromatography-mass spectrometry (UHPLC-MS).
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  • 文章类型: Journal Article
    互补分析平台的集成是当今复杂生物系统的全面代谢组学分析的最常见策略。在这一章中,我们描述了质谱多平台在阿尔茨海默病研究中的应用方法和技巧,基于直接质谱和正交联用方法的结合,即,反相高效液相色谱和气相色谱法。这些程序已经过优化,用于分析来自人类患者和转基因动物模型的多个生物样本,包括血清,各种大脑区域(例如,海马体,皮质,小脑,纹状体,嗅球),和其他外周器官(例如,肝脏,肾,脾,脾胸腺)。
    The integration of complementary analytical platforms is nowadays the most common strategy for comprehensive metabolomics analysis of complex biological systems. In this chapter, we describe methods and tips for the application of a mass spectrometry multi-platform in Alzheimer\'s disease research, based on the combination of direct mass spectrometry and orthogonal hyphenated approaches, namely, reversed-phase ultrahigh-performance liquid chromatography and gas chromatography. These procedures have been optimized for the analysis of multiple biological samples from human patients and transgenic animal models, including blood serum, various brain regions (e.g., hippocampus, cortex, cerebellum, striatum, olfactory bulbs), and other peripheral organs (e.g., liver, kidney, spleen, thymus).
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  • 文章类型: Journal Article
    枣样品的化学和生物活性表征(水果,核心,和叶子)通过整合的非靶向代谢组学和生物测定法进行。首先,用超高效液相色谱结合离子迁移四极杆飞行时间质谱测定了大枣中活性化合物的碰撞截面值。然后,包含主成分分析的多维统计分析,采用偏最小二乘判别分析和层次聚类分析对不同组织和类型的枣进行有效聚类,使鉴定更加科学。此外,使用血管紧张素转换酶(ACE)和2,2-二苯基-1-吡啶酰肼(DPPH)从双重活性维度评估大枣的质量。用ACE和DPPH评价大枣品质的分析结果与多元统计不同。为大枣的应用提供参考。因此,综合化学和生物学角度对大枣品质进行评价,为临床提供更全面的评价和有效的参考。
    The chemical and biologically active characterization of jujube samples (fruits, cores, and leaves) were carried out by the integrated nontargeted metabolomics and bioassay. Firstly, collision cross-section values of active compounds in jujubes were determined by ultrahigh-performance liquid chromatography coupled with ion mobility quadrupole time-of-flight mass spectrometry. Then, a multidimensional statistical analysis that contained principal component analysis, partial least squares-discriminant analysis and hierarchical clustering analysis was employed to effectively cluster different tissues and types of jujubes, making identification more scientific. Furthermore, angiotensin-converting enzyme (ACE) and 2, 2-diphenyl-1-picrylhydrazyl (DPPH) were used to evaluate the quality of jujubes from a double activity dimension. The analytical results obtained by using ACE and DPPH to evaluate the quality of jujube were different from multivariate statistics, providing a reference for the application of jujube. Therefore, integrating chemical and biological perspectives to evaluate the quality of jujube provided a more comprehensive evaluation and effective reference for clinical needs.
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  • 文章类型: Journal Article
    尽管在过去十年中在抗肿瘤药物(AD)处理程序方面采取了相当大的步骤,它们的诱变效应仍然对积极参与复合和管理单位的医护人员构成威胁。生物监测程序通常需要大量的样品和提取溶剂,或者没有提供足够的灵敏度。这里提出了一种快速,自动化的方法来评估环磷酰胺和磷酰胺的尿水平,由小型化固相萃取(µSPE)组成,然后进行超高效液相色谱-串联质谱(UHPLC-MS/MS)分析。提取程序,通过ePrepOne工作站上的实验设计(DoE)开发,每个样品需要9.5分钟的总时间,回收率为77-79%,每1mL尿液样品的溶剂消耗量低于1.5mL。由于UHPLC-MS/MS方法,获得的定量限(LOQ)低于10pg/mL。该分析程序已成功应用于意大利四家医院复合病房的23份尿液样本,这导致27和182pg/mL之间的污染。
    Despite the considerable steps taken in the last decade in the context of antineoplastic drug (AD) handling procedures, their mutagenic effect still poses a threat to healthcare personnel actively involved in compounding and administration units. Biological monitoring procedures usually require large volumes of sample and extraction solvents, or do not provide adequate sensitivity. It is here proposed a fast and automated method to evaluate the urinary levels of cyclophosphamide and iphosphamide, composed of a miniaturized solid phase extraction (µSPE) followed by ultrahigh-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) analysis. The extraction procedure, developed through design of experiments (DoE) on the ePrep One Workstation, required a total time of 9.5 min per sample, with recoveries of 77-79% and a solvent consumption lower than 1.5 mL per 1 mL of urine sample. Thanks to the UHPLC-MS/MS method, the limits of quantification (LOQ) obtained were lower than 10 pg/mL. The analytical procedure was successfully applied to 23 urine samples from compounding wards of four Italian hospitals, which resulted in contaminations between 27 and 182 pg/mL.
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  • 文章类型: Journal Article
    黄芪桂枝五物汤(HGWWD)是一种应用广泛的治疗缺血性中风和糖尿病周围神经病变的中药制剂。然而,HGWWD疗效的物质基础尚不清楚.在这项研究中,一个快速的,建立了灵敏,选择性的超高效液相色谱-四极杆飞行时间质谱(UHPLC-Q-TOF-MS)方法,以分离和鉴定口服后大鼠血浆中HGWWD的吸收成分和代谢产物。第一次。通过比较保留时间,空白血浆和含药血浆的高分辨率质谱一级和二级质谱数据,共有42个成分,包括24种原型化合物和18种代谢物,被鉴定或初步表征。结果表明,单萜,黄酮类化合物,有机酸,氨基酸,姜酚和生物碱是大鼠血浆中的主要原型化合物,和类黄酮相关的代谢产物,有机酸相关代谢产物和姜辣素相关代谢产物是主要代谢产物。结论建立的UHPLC-Q-TOF-MS方法具有较高的灵敏度和分辨率,适用于HGWWD的吸收成分和代谢产物的鉴定和表征。研究结果将为进一步研究HGWWD的化学成分与药理活性之间的关系提供重要数据。
    Huangqi Guizhi Wuwu decoction (HGWWD) is a widely used traditional Chinese medicine (TCM) preparation for the treatment of ischemic stroke and diabetes peripheral neuropathy. However, the material basis for the efficacy of HGWWD remains unclear. In this study, a rapid, sensitive and selective ultrahigh-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS) method was developed to separate and identify the absorbed components and metabolites of HGWWD in rat plasma after oral administration for the first time. By comparing the retention time, high-resolution mass spectrometry primary and secondary mass spectrometry data of blank plasma and drug-containing plasma, a total of 42 constituents, including 24 prototype compounds and 18 metabolites, were identified or tentatively characterized. The results indicated that monoterpenes, flavonoids, organic acids, amino acids, gingerols and alkaloids were main prototype compounds in rat plasma, and flavonoid-related metabolites, organic acid-related metabolites and gingerol-related metabolites were major metabolites. It is concluded the developed UHPLC-Q-TOF-MS method with high sensitivity and resolution is suitable for identifying and characterizing the absorbed components and metabolites of HGWWD, and the results will provide important data for further study on the relationship between the chemical constituents and pharmacological activities of HGWWD.
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  • 文章类型: Journal Article
    这项研究提出了一种创新,高效,功能食品中活性成分的环保快速机械包合提取(MIE)方法。2-羟丙基-β-环糊精用作包合试剂,在MIE中使用水作为提取溶剂。采用单因素实验和表面响应法优化,系统考察了影响目标化合物提取效率的实验参数。方法线性良好(测定系数>0.991),精度(0.02%至4.89%),检测限(1.1-11.3ng/mL),在1和5μg/mL的加标浓度水平下,回收率分别为80.4-108.7%和86.3-112.3%,分别。因此,MIE方法提供了一种新颖的绿色替代方法,并扩展了其在从功能性食品中同时提取疏水性和亲水性化合物的应用。
    This study presents an innovative, efficient, environmentally friendly and rapid mechanical inclusion extraction (MIE) method for active ingredients in functional food. 2-hydroxypropyl-beta-cyclodextrin was used as the inclusion reagent, and water was used as the extraction solvent in MIE. The experimental parameters affecting the extraction efficiency of the target compounds were systematically investigated using single-factor experiments and surface response methodology optimization. The method showed satisfactory linearity (coefficient of determination > 0.991), precision (0.02 % to 4.89 %), limit of detection (1.1-11.3 ng/mL), and recoveries of 80.4-108.7 % and 86.3-112.3 % at spiked concentration levels of 1 and 5 μg/mL, respectively. Consequently, the MIE method provided a novel green alternative and extended its applications for the simultaneous extraction of hydrophobic and hydrophilic compounds from functional food.
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  • 文章类型: Journal Article
    各种形式的霉菌毒素通常存在于食物中,对人类健康构成重大风险。在这里,使用超高效液相色谱-高分辨率质谱(UHPLCHRMS)开发了针对亲本和修饰的真菌毒素的全面可疑和非目标筛选策略。我们构建了一个内部MS/MS数据库,其中包含8个类别的82种真菌毒素。然后通过Python程序“碎片模式筛选器(FPScreener)”快速提取不同类别的霉菌毒素的碎片特征,并通过分析碎片特征的频率和平均强度确定非目标筛选规则。使用可疑和非目标筛查策略,在受污染的小麦和面粉样品中,我们成功地鉴定了6种亲本真菌毒素和8种修饰的真菌毒素,它们的置信水平不同。该策略能够筛选具有相应片段化特征的食物基质中的未知亲本和修饰的霉菌毒素。
    Various forms of mycotoxins commonly exist in food and pose a significant risk to human health. Here a comprehensive suspect and nontarget screening strategy for both parent and modified mycotoxins was developed using ultrahigh-performance liquid chromatography-high resolution mass spectrometry (UHPLCHRMS). We constructed an in-house MS/MS database containing 82 mycotoxins in 8 categories. Then fragmentation characteristics of different classes of mycotoxins were rapidly extracted by a Python program \"Fragmentation pattern screener (FPScreener)\" and nontarget screening rules were determined by analyzing the frequencies and average intensities of fragmentation characteristics. Using the suspect and nontarget screening strategy, we successfully identified six parent mycotoxins and eight modified mycotoxins with different confidence levels in contaminated wheat and flour samples. This strategy enables screening of unknown parents and modified mycotoxins in food matrices with corresponding fragmentation characteristics.
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  • 文章类型: Journal Article
    首次提出了一种新型的pH响应磁性氧化石墨烯复合材料(MGO@PEI-BA)作为快速捕获和检测核苷(胞苷,尿苷,鸟苷,和腺苷)。形态学,结构,使用各种表征技术评估了复合材料的磁性能。结果表明,该复合材料已成功制备。通过一次单因素和响应面方法(BBD-RSM)的Box-Behnken设计优化了影响提取和洗脱的一系列参数。复合材料独特的层状结构和易于接近的活性位点促进了分子运输,导致核苷吸附在5分钟内的瞬时平衡。基于这项研究,结合UHPLC-UV分析,开发了MGO@PEI-BA辅助的磁性分散微固相萃取(MD-μ-SPE)方法,用于测定大鼠尿液中的核苷。在最佳条件下,宽线性范围(10-2000ngmL-1),良好的线性(r>0.99),低检测限(1-3ngmL-1),低相对标准偏差(RSD≤3.9%),回收率令人满意(82.7-96.3%)。这些结果表明MGO@PEI-BA是从生物样品中提取核苷的优异吸附剂。
    A novel pH-responsive magnetic graphene oxide composite (MGO@PEI-BA) is proposed for the first time as an adsorbent for the rapid capture and detection of nucleosides (cytidine, uridine, guanosine, and adenosine). The morphology, structure, and magnetic properties of the composite were evaluated using various characterization techniques. The results indicated that the composite was successfully fabricated. A series of parameters that affect extraction and elution were optimized through one-factor-at-a-time and Box-Behnken design of response surface methodology (BBD-RSM). The unique layered structures and easily accessible active sites of the composite facilitated molecular transport, resulting in instantaneous equilibrium of nucleosides adsorption within 5 min. Based on this study, a magnetic dispersive micro-solid-phase extraction (MD-μ-SPE) method assisted by the MGO@PEI-BA was developed in combination with UHPLC-UV analysis for the determination of nucleosides in rat urine. Under the optimum conditions, a wide linear range (10-2000 ng mL-1), good linearity (r > 0.99), low detection limits (1-3 ng mL-1), low relative standard deviations (RSDs ≤ 3.9%), and satisfactory recoveries (82.7-96.3%) were achieved. These results demonstrate that the MGO@PEI-BA is an excellent adsorbent for extracting nucleosides from biological samples.
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  • 文章类型: Journal Article
    建立了超高效液相色谱-离子迁移四极杆飞行时间质谱分离和鉴定酚类化合物的方法,有机酸,黄酮类化合物和姜黄素在不同品种的生姜。影响液相色谱分离和响应的参数,包括固定相和流动相,进行了系统的研究和优化。为了进一步鉴定六种样品中的差异代谢物,引入了化学计量学方法。主成分分析,聚类分析和偏最小二乘判别分析用于鉴定样品中的主要成分,并比较各种样品之间的成分差异。此外,研究了6个生姜样品抗氧化活性的差异。方法线性良好(R2≥0.9903),令人满意的精度(RSD%≤4.59%),低LOD(0.35-25.86ng/mL)和可接受的回收率(78-109%)和重现性(RSD%≤4.20%)。因此,该方法在生姜成分分析和质量控制方面具有很大的应用潜力。
    An ultrahigh-performance liquid chromatography coupled with ion mobility quadrupole time-of-flight mass spectrometry method was developed for the separation and identification of phenols, organic acids, flavonoids and curcumin in different species of ginger. The parameters affecting the separation and response of liquid chromatography, including the stationary phase and mobile phase, were systematically investigated and optimized. To further identify the differential metabolites in the six types of samples, a chemometric approach was introduced. Principal component analysis, cluster analysis and partial least squares discriminant analysis were used to identify the major components in the samples and to compare the compositional differences between the various samples. In addition, antioxidant experiments were designed to investigate the differences in antioxidant activity among the six ginger samples. The method showed good linearity (R2 ≥0.9903), satisfactory precision (RSD% ≤ 4.59 %), low LOD (0.35-25.86 ng/mL) and acceptable recovery (78-109 %) and reproducibility (RSD% ≤ 4.20 %). Therefore, the method has great potential for application in the compositional analysis and quality control of ginger.
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  • 文章类型: Journal Article
    农药污染食品对消费者安全构成重大风险,并破坏对食品供应链的信心。检测食品样品中的农药是一项具有挑战性的任务,需要有效的提取技术。本研究旨在比较和验证两种微提取技术,μSPEed和μQuEChERS-dSPE,用于同时提取八种农药(百草枯,噻菌灵,asulam,Picloram,ametryn,阿特拉津,linuron,和cymoxanil)来自废水样品。两种方法都获得了良好的分析性能,有选择性,线性范围为0.5-150mgL-1,测定系数高达0.9979,检测限(LODs)和定量限(LOQs)分别为0.02至0.05mgL-1和0.06至0.17mgL-1,精密度在14.7mgL-1以下,废水样品的回收率在66.1-99.9%之间。开发的方法更简单,更快,并且需要比传统方法更少的样品和溶剂体积,对环境的影响较小。然而,发现μSPEed方法更有效,更容易执行,并且具有更高的绿色轮廓。这项研究强调了微萃取技术在分析食品和环境样品中农药残留方面的潜力。总的来说,它为分析废水样品中的农药提供了一种快速有效的方法,这可以用于监测和控制环境中的农药污染。
    Food contamination with pesticides poses significant risks to consumer safety and undermines confidence in food supply chains. Detecting pesticides in food samples is a challenging task that requires efficient extraction techniques. This study aims to compare and validate two microextraction techniques, μSPEed and μQuEChERS-dSPE, for the simultaneous extraction of eight pesticides (paraquat, thiabendazole, asulam, picloram, ametryn, atrazine, linuron, and cymoxanil) from wastewater samples. A good analytical performance was obtained for both methodologies, with selectivity, linearity in the range 0.5-150 mg L-1 with coefficients of determination up to 0.9979, limits of detection (LODs) and limits of quantification (LOQs) ranging from 0.02 to 0.05 mg L-1 and from 0.06 to 0.17 mg L-1, respectively, precision below 14.7 mg L-1, and recoveries from wastewater samples in the range of 66.1-99.9%. The developed methodologies are simpler, faster, and require less sample and solvent volumes than conventional methodologies, having a lower impact on the environment. Nevertheless, the μSPEed approach was found to be more efficient, easier to perform, and with a higher greener profile. This study highlights the potential of microextraction techniques for the analysis of pesticide residues in food and environmental samples. Overall, it presents a fast and efficient method for the analysis of pesticides in wastewater samples, which can be useful for monitoring and controlling pesticide contamination in the environment.
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