{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T21:44:27Z","timestamp":1784583867122,"version":"3.55.0"},"reference-count":32,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,12,28]],"date-time":"2025-12-28T00:00:00Z","timestamp":1766880000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,12,28]],"date-time":"2025-12-28T00:00:00Z","timestamp":1766880000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Electrophoresis"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    This study investigated the synthesis and chiral separation of a series of bio\u2010based amide derivatives. Moreover, the greenness of both separation techniques, that is, high\u2010performance liquid chromatography (HPLC) and supercritical fluid chromatography (SFC), was compared. The synthesis employed a two\u2010step, solvent\u2010free, one\u2010pot procedure at 60\u00b0C, yielding esters quantitatively and amides with yields of 31%\u201370%. Chiral separations were performed on polysaccharide stationary phases under the most optimal green conditions. Using a 70\/30 heptane\/ethanol mobile phase in HPLC, racemate\n                    <jats:bold>13<\/jats:bold>\n                    exhibited the highest resolution (\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sub>s<\/jats:sub>\n                    \u00a0=\u00a011.8) and retention time (72.5\u00a0min); however, using a 40% ethanol phase reduced both resolution and retention times. SFC, using a 50\/50 CO\n                    <jats:sub>2<\/jats:sub>\n                    \/ethanol mobile phase, provided baseline resolution (\n                    <jats:italic>R<\/jats:italic>\n                    <jats:sub>s<\/jats:sub>\n                    \u00a0=\u00a01.51\u20139.13) for all analytes and significantly reduced analysis times (maximum retention time of 12.6\u00a0min for the second eluting enantiomer of racemate\n                    <jats:bold>13<\/jats:bold>\n                    ). Greenness evaluation was carried out using the AGREE and Analytical Method Greenness Score (AMGS) tools. The AGREE score averaged at 0.55 for HPLC and 0.64 for SFC, indicating a slight preference for SFC due to reduced solvent hazards and waste. The AMGS scores confirmed this trend: HPLC showed an average of 40.9 (up to 128 for racemate\n                    <jats:bold>13<\/jats:bold>\n                    ), whereas SFC averaged 14.9 (maximum 31.1). Instrument energy consumption was the dominant contributor to the AMGS score for both techniques, accounting for over 95% of the score for HPLC and over 93% for SFC. For racemate\n                    <jats:bold>13<\/jats:bold>\n                    , this proportion increased to 99% and 96%, respectively.\n                  <\/jats:p>","DOI":"10.1002\/elps.70068","type":"journal-article","created":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T05:36:01Z","timestamp":1766986561000},"page":"152-161","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Chiral Separation of Biosourced Preservatives: Greenness Evaluation of Liquid and Supercritical Fluid Chromatography Through AMGS and AGREE Tools"],"prefix":"10.1002","volume":"47","author":[{"given":"Bangaly","family":"Sylla\u2010Toure","sequence":"first","affiliation":[{"name":"Inserm U1167\u2010Risk Factors and Molecular Determinants of Aging\u2010Related Diseases, Universit\u00e9 de Lille  Lille 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Lille  Lille France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alina","family":"Ghinet","sequence":"additional","affiliation":[{"name":"Inserm U1167\u2010Risk Factors and Molecular Determinants of Aging\u2010Related Diseases, Universit\u00e9 de Lille  Lille France"},{"name":"Faculty of Chemistry Alexandru Ioan Cuza\u2019 University of Iasi  Iasi Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christophe","family":"Waterlot","sequence":"additional","affiliation":[{"name":"Institut Mines\u2010T\u00e9l\u00e9com, University Artois, JUNIA, ULR 4515\u2014LGCgE, Laboratoire De G\u00e9nie Civil Et g\u00e9o\u2010Environnement, Universit\u00e9 de Lille  Lille France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michal","family":"Markuszewski","sequence":"additional","affiliation":[{"name":"Department of Biopharmaceutics and Pharmacodynamics Faculty of Pharmacy Medical University of Gda\u0144sk  Gda\u0144sk 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