43:["$","div",null,{"className":"min-h-screen bg-white text-slate-900","children":[["$","section",null,{"className":"w-full bg-[#C2F9FF] mt-21 h-[275px] flex items-center","children":["$","div",null,{"className":"mx-auto max-w-6xl px-4 sm:px-6 lg:px-8 w-full","children":["$","div",null,{"className":"flex flex-col justify-center items-center text-center gap-6","children":[["$","h2",null,{"className":"text-2xl md:text-3xl text-slate-700","children":"Glossary"}],["$","h1",null,{"className":"text-4xl md:text-5xl font-semibold tracking-tight","children":"Out-of-Trend (OOT) "}]]}]}]}],["$","div",null,{"className":"glossary-content max-w-3xl mx-auto text-gray-700 mt-10 prose prose-xl [&_p]:text-[18px] [&_li]:text-[18px] [&_p]:leading-relaxed","dangerouslySetInnerHTML":{"__html":"

Out-of-Trend refers to test results that are within specification limits but depart from customary trends or historical data, signifying potential process instability. Unlike Out-of-Specification events, OOT results require practical investigation to identify root causes like analytical errors or manufacturing drift before they become failures.

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