Experimental and computational study of salt-containing aqueous two-phase system for extraction of analgesic drugs

Experimental and computational study of salt-containing aqueous two-phase system for extraction of analgesic drugs | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Experimental and computational study of salt-containing aqueous two-phase system for extraction of analgesic drugs Fariba Ghaffari, Mohammad Khorsandi, Hemayat Shekaari, Mohammed Taghi Zafarani-Moattar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1704128/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract In recent decades, aqueous two-phase systems have gained a lot of attention for extraction of different materials. In this work, an aqueous two phase system was made by poly (ethylene) glycol 600 and potassium hydroxide and phase diagram were determined for this system. The experimental binodal data were described using two empirical nonlinear three parameter expressions developed by Merchuk and Zafarani-Moattar. The consistency of the experimental tie-line data was determined by utilizing the Othmer-Tobias, Bancraft, and Setschenow correlations. Also, the extraction of two analgesic drugs, namely ibuprofen and acetaminophen were investigated by the mentioned ATPs. For this purpose, partition coefficients and extraction efficiencies of each drug were calculated. The trend of extraction efficiencies indicated that the responsibility of extraction of the mentioned drugs into the polymer-rich top phase is related to their hydrophobicity. The Diamond-Hsu equation and its modified version were used to correlate the drugs experimental partition coefficients. Furthermore, the interaction of mentioned drugs with polyethylene glycol was investigated employing quantum computing techniques based upon density functional theory (DFT). These results were in good agreement with the trend of extraction efficiencies of studied drugs. Aqueous two phase systems polyethylene glycol phase compositions drug partitioning DFT Full Text Additional Declarations No competing interests reported. Supplementary Files SAPPORTINGINFORMATION.docx Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Major revision 20 Jul, 2022 Reviews received at journal 07 Jul, 2022 Reviewers agreed at journal 28 Jun, 2022 Reviewers agreed at journal 27 Jun, 2022 Reviewers invited by journal 27 Jun, 2022 Editor assigned by journal 27 Jun, 2022 Editor invited by journal 11 Jun, 2022 Submission checks completed at journal 11 Jun, 2022 First submitted to journal 29 May, 2022 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-1704128","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":112811030,"identity":"00279ad0-3c6a-48f5-833a-0a0641450b7d","order_by":0,"name":"Fariba 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