{"version":"1.0","provider_name":"Microanalytical Chemistry Lab","provider_url":"https:\/\/scienceweb.clemson.edu\/uacl","author_name":"CDG","author_url":"https:\/\/scienceweb.clemson.edu\/uacl\/author\/carlos\/","title":"ENQA 2026 - Microanalytical Chemistry Lab","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"I6Pg67zkRl\"><a href=\"https:\/\/scienceweb.clemson.edu\/uacl\/enqa2026\/\">ENQA 2026<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/scienceweb.clemson.edu\/uacl\/enqa2026\/embed\/#?secret=I6Pg67zkRl\" width=\"600\" height=\"338\" title=\"&#8220;ENQA 2026&#8221; &#8212; Microanalytical Chemistry Lab\" data-secret=\"I6Pg67zkRl\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/scienceweb.clemson.edu\/uacl\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/scienceweb.clemson.edu\/uacl\/wp-content\/uploads\/sites\/46\/2026\/09\/enqa2026.png","thumbnail_width":235,"thumbnail_height":200,"description":"Chega de ran\u00e7o! \ud83c\udde7\ud83c\uddf7 I&#8217;ll be giving a plenary lecture at ENQA 2026 (22nd Brazilian Meeting of Analytical Chemistry), September 15\u201318 in Macei\u00f3 \u2014 one of the largest analytical chemistry gatherings in Latin America.&nbsp; The title of my talk is &#8220;Chega de Ran\u00e7o &#8211; Analytical Data as the Ground Truth for AI-Designed Antioxidant Synergies&#8221; and it will cover the idea that an AI model is only as good as the data it learns from, and antioxidant synergy prediction is no exception. I&#8217;ll walk through how oxidative-stability measurements become the ground truth that lets a model actually predict \u2014 rather than [&hellip;]"}