OpenLAB unlocks your lab's full potential.
Agilent OpenLAB software helps you shorten the time from analysis to final insight by bringing applications, instruments, and data together under a single, vendor-independent lab environment.
Agilent OpenLAB software helps you shorten the time from analysis to final insight by bringing applications, instruments, and data together under a single, vendor-independent lab environment.
The scalable, open architecture solution lets you easily capture, analyze, and share scientific data throughout your lab and across the enterprise.
Want to increase your productivity? Shorten the path between data and answers.
Whether your biggest challenges are improving throughput, reducing turnaround time, lowering operating costs, maximizing uptime—or all of the above—OpenLAB is a proven solution that can help you unlock your lab’s full potential.
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Investigating the Protective Effects of Frankincense Oil on Wound Healing with GC–MS
April 2nd 2025Frankincense essential oil is known for its anti-inflammatory, antioxidant, and therapeutic properties. A recent study investigated the protective effects of the oil in an excision wound model in rats, focusing on oxidative stress reduction, inflammatory cytokine modulation, and caspase-3 regulation; chemical composition of the oil was analyzed using gas chromatography–mass spectrometry (GC–MS).
Evaluating Natural Preservatives for Meat Products with Gas and Liquid Chromatography
April 1st 2025A study in Food Science & Nutrition evaluated the antioxidant and preservative effects of Epilobium angustifolium extract on beef burgers, finding that the extract influenced physicochemical properties, color stability, and lipid oxidation, with higher concentrations showing a prooxidant effect.
Rethinking Chromatography Workflows with AI and Machine Learning
April 1st 2025Interest in applying artificial intelligence (AI) and machine learning (ML) to chromatography is greater than ever. In this article, we discuss data-related barriers to accomplishing this goal and how rethinking chromatography data systems can overcome them.
