GEN-MKT-18-7897-A
Dec 6, 2017 | Blogs, Software, Technology | 0 comments
You know the drill, lab managers are always seeking new solutions to keep their labs running at peak performance and instrument or system disruptions can be detrimental. Wouldn’t it be nice if there were a way to connect to your lab from anywhere securely and to stay ahead of potential instrument problems? By using remote monitoring, labs are now able to respond to issues quickly and efficiently, productively reducing downtime.
Here are 4 Reasons Why You Should Implement Remote Monitoring Services in Your Lab:
1. Cost Savings: When your system is down, you can’t use it. Your project is at a standstill. You risk losing revenue, missing deadlines and driving up your costs.
With remote monitoring, you can access your system’s condition from any location. You can also receive real-time alerts should there be an irregularity. So, not only do you reduce the risk of instrument downtime, you can potentially resolve your issue without a service engineer visit. Getting your system back up and running faster will save you money.
2. Save Time and Increase Productivity: Remote monitoring enables you to monitor sample runs, so you don’t have to stay on-site waiting for the run to finish, or worry about it while you’re away. You can see your instrument output from anywhere, so you know if your samples are running at optimal conditions.
Forget having to drive over to the lab at wee hours of the night to check on your samples or even avoid the Monday morning, “surprise” to find your instrument went down unexpectedly. Remote monitoring can send you real-time alerts wherever you are as soon as something is amiss in your lab. That means you can save time on your response and immediately remedy the issue at hand.
3. Proactive Maintenance and Early Detection: Say goodbye to waiting for things to break before fixing them. Not only is remote monitoring in real-time, but it’s also on 24/7. This means you can check in at your convenience, or immediately get alerts any time of the day on instrument warning signs that have the potential to disrupt your workflow. Warning signals and alerts are excellent ways in which remote monitoring helps you, indicating potential problems even before failures happen.
4. Gain Essential Insights: Remote monitoring solutions can provide you essential insight into your systems’ overall health. By collecting system information over time, you can easily monitor your instrument performance and identify utilization trends, so you understand how your systems are being used – a critical piece of intelligence when planning for capital investment or resource allocation.
Finding the right information shouldn’t slow you down. Whether you’re troubleshooting your mass spec, learning something new, or optimizing performance, access to the right resources at the right moment makes all the difference.
As an analytical strategy, middle-down mass spectrometry (MS) workflows characterize biotherapeutic proteins by analyzing large, digested protein fragments or defined subunits, rather than fully intact proteins (top-down) or digested peptides (bottom-up). A middle-down strategy combines the strengths of top-down and bottom-up approaches by delivering high sequence coverage and structural specificity while maintaining relatively simple sample preparation. In practice, middle-down analysis enables accurate mass measurement, rapid sequence confirmation, and localization of key post-translational modifications (PTMs) on protein subunits that are directly relevant to product quality.
In biopharmaceutical development, sequence variants (SV) are considered an inherent risk of producing complex proteins in living systems. Sequence variants are unintended changes to the amino acid sequence of a biotherapeutic and can be caused by errors in transcription or translation in the host cell, or cell culture and process conditions. Detailed analysis of SVs is important in process and product development to ensure the drug’s safety and efficacy. Even low‑level sequence variants can have significant implications for product quality, safety, and efficacy, making their accurate detection and characterization a critical requirement across development, process optimization, and regulatory submission.
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