PubMed چکیده/رکورد

A library of experimental collision cross sections for food, beverage and plant metabolites generated by reversed-phase liquid chromatography coupled to travelling-wave ion mobility and high-resolution mass spectrometry.

استودیوی صوتی مقاله

پخش حرفه‌ای فارسی و انگلیسی

در حال بررسی نسخه‌های صوتی ذخیره‌شده…

صوت تولیدشده با هوش مصنوعی است. برای کاربرد علمی یا درمانی، متن و منبع اصلی را بررسی کنید.
خواندن هوشمند فارسی و انگلیسی در حال آماده‌سازی صداهای مرورگر…
تنظیم صدای طبیعی و سرعت

صداهایی که در نامشان «Natural»، «Neural» یا «Online» دیده می‌شود معمولاً طبیعی‌ترند. انتخاب صدا به صداهای نصب‌شده در ویندوز و مرورگر شما بستگی دارد.

چکیده اصلی

Collision cross section (CCS), considered an ion-specific physicochemical property derived from ion mobility spectrometry (IMS), has become a valuable orthogonal descriptor for metabolite characterisation. When coupled with liquid chromatography and high-resolution mass spectrometry, CCS enables a multidimensional analytical approach to address challenging metabolite annotation, particularly for isomeric compounds or when reference standards are unavailable. In food and plant metabolomics, where chemical diversity is vast and reference databases are limited, expanding experimental CCS libraries remains a priority. Here, using reversed-phase liquid chromatography hyphenated with travelling wave ion mobility spectrometry and high-resolution mass spectrometry (RPLC-TWIMS-HRMS), we present a comprehensive library of 597 TWCCSN2 values from 274 standard references, including commercial, non-commercial and in-house isolated compounds relevant to the wine, food and plant metabolome. High intra-and inter-day repeatability was established across 35 metabolites from diverse chemical classes, with 96.5% of the 171 paired measurements showing inter-software agreement within ±2.0% ΔCCS when processed in parallel using two commercial data processing software platforms. Evaluation of five machine learning-based CCS prediction tools against the experimental library revealed up to 68.9% of predicted values within ±3.0%ΔCCS, with chemical class-dependent performance highlighting the importance of continued expansion of experimental CCS resources for confident annotation in metabolomics workflows.

متن کامل اصلی

متن در JumpToDate ذخیره نشده است.

برای بررسی دسترسی کتابخانه‌ای یا خرید، رکورد اصلی را باز کنید.

رفتن به منبع اصلی

کلیدواژه‌ها

CCS libraryCollision cross-section (CCS)Ion mobility spectrometry (IMS)Metabolite annotationTravelling wave ion mobility (TWIMS)
در همین زیرشاخه

مقاله‌های مرتبط

PubMed2027

Chikungunya Virus Infection in Paraffin-Embedded Tissue: Analysis of Histological Alterations and Viral Detection by Immunohistochemistry.

Histopathological analysis of tissues infected with Chikungunya virus (CHIKV), including biopsy and autopsy specimens, can provide valuable insights into the pathogenesis of atypical and fatal cases. By examining tissue architecture and cellular alterations under the microscope, it is possible to identify patterns of injury, inflammation, and cellular degeneration. These morphological findings provide evidence of how the pathogen inter…

PubMed2027

Combined Lipidomic and Metabolomic Analyses on Cardiac Organoids.

Cardiac organoids are increasingly used to model human cardiac development and disease, but their small size often limits molecular characterization, especially if different approaches and protocols are necessary to extract and quantify metabolites and lipids. Here, we present a multistep workflow for combined targeted free amino-acid (FAA) based metabolomic and lipidomic profiling from a single pooled cardiac organoid sample. The prot…

PubMed2027

Enrichment of Arabidopsis Plasma Membrane Proteins by Sequential Differential Centrifugation.

The plasma membrane (PM) is the primary interface between plant cells and their environment, and its resident proteins mediate key processes such as extracellular signal perception and downstream cellular reprogramming. Yet, PM proteins are typically underrepresented in total protein extracts, and existing enrichment strategies are often laborious and require extensive optimization. Here, a simple and robust workflow is described for e…

PubMed2027

Epitope Tagging and Coimmunoprecipitation to Identify Viral Protein Interactors.

Affinity purification-mass spectrometry (AP-MS) is a powerful proteomic approach for dissecting the interaction network between virus and host. Traditional AP-MS employs overexpression of viral proteins as baits to enrich host interactors. However, overexpressed viral proteins may mislocalize to inappropriate cellular compartments and trigger endoplasmic reticulum stress by overwhelming the protein-folding machinery, which leads to fal…