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Showing posts from July, 2025

What Are the Common Types of Gases Used in Lab Distribution Systems?

  Laboratories rely heavily on precision, safety, and efficiency. One of the essential components that supports all three is the   Lab Gas Distribution System . These systems are designed to deliver gases from central storage points to various workstations across the lab. To ensure accuracy in research and processes, labs utilize a wide array of gases depending on their scientific application. In this article, we explore the   common types of gases used in lab gas distribution systems , their uses, and why proper handling and distribution are vital. 1. Nitrogen (N₂) Usage : Nitrogen is one of the most commonly used gases in laboratories. It is an inert gas that does not react easily with other substances, making it ideal for applications where contamination must be avoided. Applications : Purging systems and equipment Chromatography (as a carrier gas) Inert atmospheres for chemical reactions Storage of sensitive compounds 2. Oxygen (O₂) Usage : Oxygen supports combustion ...

How to Implement Automation in Your Laboratory Pipeline for Better Results

  Automation has revolutionized many sectors, and laboratories are no exception. With growing demands for higher throughput, improved accuracy, and faster turnaround, automating your laboratory pipeline is no longer a luxury—it's a necessity. Whether you're in pharmaceuticals, diagnostics, or academic research, implementing automation in your lab can dramatically improve efficiency, consistency, and data quality. This article explores the essential steps to successfully integrate automation into your laboratory pipeline for better results. 1. Understand Your Laboratory Workflow Before introducing automation, you must thoroughly understand your existing laboratory pipeline . Document each step—from sample collection to data analysis—and identify the repetitive, time-consuming, or error-prone tasks. Key questions to ask: Which processes consume the most time? Where are errors or inconsistencies frequently occurring? Which steps are bottlenecks for overall throughput? ...