{
  "abstract": "Lipidomics provides critical insights into disease mechanisms, biomarker discovery, and precision medicine, but conventional LC-MS workflows often require sample volumes that limit their application in minimally invasive studies. Here, we evaluated a nanoflow liquid chromatography workflow coupled with trapped ion mobility spectrometry and time-of-flight mass spectrometry (nanoLC-TIMS-TOF) for positive ion lipid profiling from as little as 1 µL of plasma. Two commonly used single-phase extraction protocols, MeOH: MTBE and IPA: H₂O, were scaled to microsample volumes using NIST ® SRM ® 1950 plasma. The effects of plasma input volume and mobile-phase ammonium formate concentration (2, 5, and 10 mM) on feature detection and chromatographic performance were evaluated. Descriptive comparisons revealed extraction-, volume-, and buffer-associated differences in the detected feature profiles, while putative lipid annotations were evaluated using MS/MS and ion-mobility information, where available. The optimized workflow enabled broad positive ion lipid class profiling and detection of low intensity features from only 1 µL of starting material. The 1 µL extracts retained the dominant annotated lipid classes observed at higher input volumes, although profiling depth and feature distributions remained dependent on plasma input volume. Among the tested mobile phase conditions, 5 mM ammonium formate produced the highest detected feature count while limiting pressure drift during extended acquisition. These results support the feasibility and practical scalability of positive ion nanoLC-TIMS-MS lipid profiling for sample-limited applications under the evaluated conditions.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "name": "Klidel Fae Rellin"
    },
    {
      "name": "Lisa Abel"
    },
    {
      "name": "Aiko Barsch"
    },
    {
      "name": "Michael Witting",
      "orcid": "0000-0002-1462-4426"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/bx3xhtvrwn4j6.bib",
  "cited_by": 1,
  "doi": "10.1038/s41598-026-72757-8",
  "fulltext_url": null,
  "id": "bx3xhtvrwn4j6",
  "issns": [
    "2045-2322"
  ],
  "landing_url": "https://www.nature.com/articles/s41598-026-72757-8",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1312|Metabolomics and Mass Spectrometry Studies"
    ]
  ],
  "openalex": "W7219712979",
  "pdf_url": "https://www.nature.com/articles/s41598-026-72757-8.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-04",
  "publisher": "Springer Science and Business Media LLC",
  "ris": "https://research.draconitic.com/paper/bx3xhtvrwn4j6.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:22Z",
      "native_id": "10.1038/s41598-026-72757-8",
      "source": "crossref",
      "url": "https://www.nature.com/articles/s41598-026-72757-8"
    }
  ],
  "subjects": [
    {
      "field": "biochemistry",
      "origin": "openalex:1312|Metabolomics and Mass Spectrometry Studies",
      "subfield": "molecular-biology"
    }
  ],
  "title": "Optimizing nanoLC-TIMS-TOF and lipidomics sample preparation for low volume of plasma",
  "title_text": "Optimizing nanoLC-TIMS-TOF and lipidomics sample preparation for low volume of plasma",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:22Z",
  "url": "https://research.draconitic.com/paper/bx3xhtvrwn4j6",
  "venue": "Scientific Reports",
  "versions": [
    {
      "doi": "10.26434/chemrxiv-2025-gcxtb",
      "pid": null,
      "relation": "preprint",
      "title": null,
      "venue": null
    }
  ]
}