{"id":14807,"date":"2026-02-03T16:16:13","date_gmt":"2026-02-03T16:16:13","guid":{"rendered":"https:\/\/scienceweb.clemson.edu\/uacl\/?p=14807"},"modified":"2026-02-03T16:27:00","modified_gmt":"2026-02-03T16:27:00","slug":"usda-nifa","status":"publish","type":"post","link":"https:\/\/scienceweb.clemson.edu\/uacl\/usda-nifa\/","title":{"rendered":"DSFAS: Harnessing the Power of Artificial Intelligence and Deep Eutectic Solvents to Boost Antioxidant Synergism"},"content":{"rendered":"\t\t
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Extending the lifetime of your food <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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With the support from two ACRE grants (2022 and 2023), our group has been able to develop several artificial intelligence models to predict synergistic interactions of antioxidant. These models considered that these synergistic complexes of antioxidants were supported by hydrogen-bonding, a critical aspect of the formation of deep eutectic solvents. These projects have allowed us to predict and unveil multiple new combinations with synergistic behavior. Moreover, these projects have allowed us to identify and address limitations related to the use of transformer-based neural networks (and SMILES notation) as well as demonstrate the advantages of including experiments that specifically support learning aspects of the chemistry being used. We now turn our attention to the overlap between these two projects and hypothesize that our current models could be applied to form deep eutectic solvents (DES) integrating antioxidants and that such pre-formed complexes would provide enhanced antioxidant activity when deployed in fat samples.<\/span><\/p>

Funding for this project was provided by the\u00a0USDA-NIFA Program<\/a>\u00a0(Garcia, Whitehead)<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Recent papers<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\"2025<\/a><\/div>\n

Functional Deep Eutectic Solvents to Boost Antioxidant Synergism in Edible Fats<\/a><\/h2>

Emmanuel Dike, Lucas Ayres, Tomas Benavidez, Jorge Barroso, Vagner dos Santos, and Carlos D. Garcia
\nACS Sustainable Chemistry & Engineering<\/em> 13 (2025) 4427\u20134438<\/span><\/span><\/span> (cover article<\/a>)<\/p>\n<\/div><\/div><\/div>\n

\"Picture1\"<\/a><\/div>\n

Deciphering Antioxidant Interactions via Data Mining and RDKit<\/a><\/h2>

Lucas B. Ayres, Justin T. Furgala, and Carlos D. Garcia
\nScientific Reports<\/em> 15 (2025) 670<\/span><\/p>\n

Authors acknowledge the support from the Open Access Publishing Fund<\/a><\/small><\/p>\n<\/div><\/div><\/div><\/div><\/div> <\/div> \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Extending the lifetime of your food With the support from two ACRE grants (2022 and 2023), our group has been able to develop several artificial intelligence models to predict synergistic interactions of antioxidant. These models considered that these synergistic complexes of antioxidants were supported by hydrogen-bonding, a critical aspect of the formation of deep eutectic solvents. These projects have allowed us to predict and unveil multiple new combinations with synergistic behavior. Moreover, these projects have allowed us to identify and address limitations related to the use of transformer-based neural networks (and SMILES notation) as well as demonstrate the advantages of […]<\/p>\n","protected":false},"author":20,"featured_media":14804,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[131],"tags":[],"class_list":["post-14807","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-projects"],"yoast_head":"\nDSFAS: Harnessing the Power of Artificial Intelligence and Deep Eutectic Solvents to Boost Antioxidant Synergism - Microanalytical Chemistry Lab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/scienceweb.clemson.edu\/uacl\/usda-nifa\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"DSFAS: Harnessing the Power of Artificial Intelligence and Deep Eutectic Solvents to Boost Antioxidant Synergism - Microanalytical Chemistry Lab\" \/>\n<meta property=\"og:description\" content=\"Extending the lifetime of your food With the support from two ACRE grants (2022 and 2023), our group has been able to develop several artificial intelligence models to predict synergistic interactions of antioxidant. 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Moreover, these projects have allowed us to identify and address limitations related to the use of transformer-based neural networks (and SMILES notation) as well as demonstrate the advantages of […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/scienceweb.clemson.edu\/uacl\/usda-nifa\/\" \/>\n<meta property=\"og:site_name\" content=\"Microanalytical Chemistry Lab\" \/>\n<meta property=\"article:published_time\" content=\"2026-02-03T16:16:13+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-02-03T16:27:00+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/scienceweb.clemson.edu\/uacl\/wp-content\/uploads\/sites\/46\/2026\/02\/AdobeStock_130635244-1024x684-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"684\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"CDG\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@MicroAnalytic11\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"CDG\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/scienceweb.clemson.edu\\\/uacl\\\/usda-nifa\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/scienceweb.clemson.edu\\\/uacl\\\/usda-nifa\\\/\"},\"author\":{\"name\":\"CDG\",\"@id\":\"https:\\\/\\\/scienceweb.clemson.edu\\\/uacl\\\/#\\\/schema\\\/person\\\/84db2eae9183261b17b2280646687289\"},\"headline\":\"DSFAS: Harnessing the Power of Artificial Intelligence and Deep Eutectic Solvents to Boost Antioxidant Synergism\",\"datePublished\":\"2026-02-03T16:16:13+00:00\",\"dateModified\":\"2026-02-03T16:27:00+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/scienceweb.clemson.edu\\\/uacl\\\/usda-nifa\\\/\"},\"wordCount\":246,\"publisher\":{\"@id\":\"https:\\\/\\\/scienceweb.clemson.edu\\\/uacl\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/scienceweb.clemson.edu\\\/uacl\\\/usda-nifa\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/scienceweb.clemson.edu\\\/uacl\\\/wp-content\\\/uploads\\\/sites\\\/46\\\/2026\\\/02\\\/AdobeStock_130635244-1024x684-1.jpg\",\"articleSection\":[\"Projects\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/scienceweb.clemson.edu\\\/uacl\\\/usda-nifa\\\/\",\"url\":\"https:\\\/\\\/scienceweb.clemson.edu\\\/uacl\\\/usda-nifa\\\/\",\"name\":\"DSFAS: Harnessing the Power of Artificial Intelligence and Deep Eutectic Solvents to Boost Antioxidant Synergism - 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