Assessment of thermal and solvent stable SPME fibers for metabolomics studies performed in living systems.

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Talanta Pub Date : 2025-05-15 Epub Date: 2025-01-31 DOI:10.1016/j.talanta.2025.127646
Kübra Kahremanoğlu, Karol Jaroch, Paulina Szeliska, Wojciech Filipiak, Bartłomiej Charemski, Karolina Żuchowska, Enes Çetin, Ahmet E Eroğlu, Barbara Bojko, Ezel Boyaci
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引用次数: 0

Abstract

Solid phase microextraction (SPME), as a sampling/sample preparation technique, offers unique solutions for the most challenging applications, including metabolomics studies of living systems. However, for global metabolomics it is critical to use an SPME sampler facilitating the extraction of both volatiles and nonvolatiles, which at the same time is compatible with thermal and solvent-assisted desorption. As a promising universal coating, recently hydrophilic-lipophilic balanced (HLB) particles immobilized in PTFE have been introduced as a new SPME sampler to provide a wide-range of analyte coverage and compatibility with solvent and thermal desorption. Thus, making it suitable for both gas and liquid chromatography (GC/LC) based applications. However, its potential in metabolomics has not been investigated to date. In this study, HLB/PTFE SPME fibers were prepared, evaluated with selected polar and non-polar metabolites relevant to biological systems, and validated for cell-line studies. The validation proved that these fibers can extract a wide-range of molecules (LogP: 4.2 to 15.6) with acceptable accuracy (≤19% RE%) and repeatability (intra-day ≤17% and inter-day 12% RSD%). The LOQ was determined to vary between 150.0 and 500.0 ng/mL. Upon validation, the fibers were used in a proof-of-concept study for extraction of endometabolome and exometabolome of melanoma B16F10 and lung cancer LL2 cell lines. The metabolome studies showed that HLB/PTFE fibers provide lower coverage, but for some compounds higher extraction efficiency compared to HLB/PAN fibers used in LC-based metabolomics. Fibers also proved suitable for GC-MS analysis, allowing for the detection of 36 volatile organic compounds in the headspace of the cell lines and RPMI medium.

热稳定性和溶剂稳定性SPME纤维在生命系统中代谢组学研究的评估。
固相微萃取(SPME)作为一种采样/样品制备技术,为包括生命系统代谢组学研究在内的最具挑战性的应用提供了独特的解决方案。然而,对于全球代谢组学来说,使用SPME采样器促进挥发性和非挥发性物质的提取是至关重要的,同时它与热和溶剂辅助解吸兼容。作为一种很有前途的通用涂层,近年来在聚四氟乙烯中固定化的亲水-亲脂平衡(HLB)颗粒作为一种新的SPME进样器被引入,以提供广泛的分析物覆盖范围以及与溶剂和热脱附的相容性。因此,使其适用于气相色谱和液相色谱(GC/LC)为基础的应用。然而,其在代谢组学中的潜力迄今尚未得到研究。在这项研究中,制备了HLB/PTFE SPME纤维,用与生物系统相关的极性和非极性代谢物进行了评估,并验证了细胞系研究的有效性。验证表明,这些纤维可以提取范围广的分子(LogP: 4.2 ~ 15.6),具有可接受的准确度(≤19% RE%)和重复性(日内≤17%,日间≤12% RSD%)。定量限在150.0 ~ 500.0 ng/mL之间变化。在验证后,这些纤维被用于黑色素瘤B16F10和肺癌LL2细胞系的内膜代谢组和外代谢组提取的概念验证研究。代谢组学研究表明,与基于lc的代谢组学中使用的HLB/PAN纤维相比,HLB/PTFE纤维的覆盖率较低,但对某些化合物的提取效率更高。纤维也被证明适用于GC-MS分析,允许在细胞系顶空和RPMI培养基中检测36种挥发性有机化合物。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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