{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T19:42:55Z","timestamp":1781206975749,"version":"3.54.1"},"reference-count":41,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T00:00:00Z","timestamp":1634774400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005010","name":"Associazione Italiana per la Ricerca sul Cancro","doi-asserted-by":"publisher","award":["IG-18607"],"award-info":[{"award-number":["IG-18607"]}],"id":[{"id":"10.13039\/501100005010","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Metabolites"],"abstract":"<jats:p>Lipidomics is the comprehensive analysis of lipids in a given biological system. This investigation is often limited by the low amount and high complexity of biological samples, therefore highly sensitive lipidomics methods are required. Nanoflow-LC\/MS offers extremely high sensitivity; however, it is challenging as a more demanding maintenance is often needed compared to conventional microflow-LC approaches. Here, we developed a sensitive and reproducible lipidomics LC method, termed Opti-nQL, which can be applied to any biological system. Opti-nQL has been validated with cellular lipid extracts of human and mouse origin and with different lipid extraction methods. Among the resulting 4000 detected features, 700 and even more unique lipid molecular species have been identified covering 16 lipid sub-classes, while 400 lipids were uniquely structure defined by MS\/MS. These results were obtained by analyzing an amount of lipids extract equivalent to 40 ng of proteins, being highly suitable for low abundant samples. MS analysis showed that theOpti-nQL method increases the number of identified lipids, which is evidenced by injecting 20 times less material than in microflow based chromatography, being more reproducible and accurate thus enhancing robustness of lipidomics analysis.<\/jats:p>","DOI":"10.3390\/metabo11110720","type":"journal-article","created":{"date-parts":[[2021,10,22]],"date-time":"2021-10-22T00:22:02Z","timestamp":1634862122000},"page":"720","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Opti-nQL: An Optimized, Versatile and Sensitive Nano-LC Method for MS-Based Lipidomics Analysis"],"prefix":"10.3390","volume":"11","author":[{"given":"Angela","family":"Cattaneo","sequence":"first","affiliation":[{"name":"Cogentech SRL Benefit Corporation, 20139 Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5963-4580","authenticated-orcid":false,"given":"Giuseppe","family":"Martano","sequence":"additional","affiliation":[{"name":"Institute of Neurosciences (CNR), 20133 Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Umberto","family":"Restuccia","sequence":"additional","affiliation":[{"name":"The FIRC Institute of Molecular Oncology (IFOM), 20139 Milan, Italy"},{"name":"ADIENNE Pharma & Biotech, 20867 Caponago, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1217-4046","authenticated-orcid":false,"given":"Laura","family":"Tronci","sequence":"additional","affiliation":[{"name":"The FIRC Institute of Molecular Oncology (IFOM), 20139 Milan, Italy"},{"name":"Division of Genetics and Cell Biology, IRCCS-San Raffaele Scientific Institute, Molecular Basis of Cystic Kidney Diseases, 20132 Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michele","family":"Bianchi","sequence":"additional","affiliation":[{"name":"Cogentech SRL Benefit Corporation, 20139 Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4842-6556","authenticated-orcid":false,"given":"Angela","family":"Bachi","sequence":"additional","affiliation":[{"name":"The FIRC Institute of Molecular Oncology (IFOM), 20139 Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4311-998X","authenticated-orcid":false,"given":"Vittoria","family":"Matafora","sequence":"additional","affiliation":[{"name":"The FIRC Institute of Molecular Oncology (IFOM), 20139 Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1038\/510047a","article-title":"Lipids in health and disease","volume":"510","author":"Finkelstein","year":"2014","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1038\/nrendo.2016.98","article-title":"Lipidomics for studying metabolism","volume":"12","author":"Han","year":"2016","journal-title":"Nat. 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