Fero Labs’ Post

What is materials testing, what are its different types, and who performs them? Dive into our blog to get answers to these questions and learn how a #LIMS supports the operations of #labs performing material tests. https://zurl.co/SOo6 #MaterialsTesting #LabManagement #QualityAssurance #MaterialLab

And we are invited to talk about 'Simultaneous EI und CI Information: New Identification Strategies in NTS'; looking forward seeing the new ecTOF system (and software) in action and opening new windows (to Non-Target Screening) using GC-MS. 😀

Overcome long-standing ASMS bottlenecks. For decades, scientists have been in pursuit of an answer to the analytical challenges plaguing #highthroughputscreening in #drugdiscovery. Breakthroughs in #MassSpec have enabled scientists to screen 100’s-1000's of compounds simultaneously with affinity selection mass spectrometry (ASMS) and automated ligand identification system (ALIS). But until recently data analysis has held back true high throughput screening. Enter #Virscidian Analytical Studio Software. Built to enable robust high throughput workflows, Analytical Studio boasts a dedicated workflow designed for rapid and automated analysis of ASMS and ALIS data. Fully customizable and vendor-neutral, this #software empowers you to tackle big data like never before. Automate compound library imports, calculate hit rates, and benefit from our industry-leading cross-hit filter, reducing false positives and boosting confidence. Visit our website to explore the many advantages of Analytical Studio software for ASMS. Curiosity piqued? Like and follow to learn more.

I'm pleased to share this paper where Dr Rutger van Sleeuwen, myself and Dr Mohammadreza Ebrahimi combine a novel model parameter scaling method with machine learning to accelerate DEM material model calibration based on mixture uniformity measurements in a rotating drum by more than two orders of magnitude. This methodical and highly automated approach which leverages Altair tools like EDEM and HyperStudy makes it possible to obtain results within days rather than the months required by the traditional trial-and-error based approach. Access the paper here: https://lnkd.in/ef3UWaqB #dem #machinelearning #altair #edem #hyperstudy

Catch me next Wednesday (6 Dec) as I speak about a few pitfalls associated with the real-time optimisation of operations in the process industries. I will be sharing a few practices that my team at IntelliSense.io and I have put in place to overcome these pitfalls. Keen to join in? Register here: https://lnkd.in/ecBQtvQv Webinar hosted by the Institution of Chemical Engineers (IChemE) #digitaltransformation #processoptimization #digitaltwins #digitalmine #startwithwhy

New 'Myth or Fact' by Ypso-Facto: Is Mechanistic Modeling Complex? 🔍 Debunking myths in #MechanisticModeling. It's often viewed as complex, but is this true? ✅ Myth: It's only for experts. ✅ Fact: With a clear approach, user-friendly tools, and expert support, mechanistic modeling is more accessible than it seems. Discover how we simplify mechanistic modeling in our latest infographic: https://lnkd.in/epZPbjqU 💬 Share your thoughts on mechanistic modeling's ease of use! #Bioprocess #Innovation #Chromatography #ProcessDevelopment #Pharma

It starts with a spark of inspiration and ends with groundbreaking results. Like electrical potential moving through a neural network, #Virscidian #software integrates different instruments in your lab, letting them work together seamlessly. #digitaltransformation Find inspiration and do more with less by reimagining your lab processes with modern #automation that takes the repetitive data analysis work off your hands. We offer end-to-end solutions integrated with all the top ELNs and scheduler providers. Discover tailored solutions and bespoke data analysis automation on our website. Stay updated on #labautomation – like and follow. #MassSpec #chromatography #futureofwork

🧪Beyond the Endpoint: The Power of #Dynamic #Design of #Experiments (#DoDE)🔬 We've delved into the power of Design of Experiment (DoE) methodologies, but what if we could capture not just the endpoint but the entire dynamic journey of experiments? Enter the groundbreaking work by Christos Georgakis in the realm of chemical processes. 🚀 In 2013, Georgakis introduced a game-changing methodology for designing experiments, taking optimization to a whole new level. This approach is a game-changer for processes like specialty chemical, pharmaceutical, and food production, where knowledge-driven models may not be readily available.🔄 The approach, known as the Design of Dynamic Experiments (DoDE), goes beyond the traditional DoE by systematically exploring dynamic signatures, called dynamic subfactors (DSFs), in the time-dependent behavior of decision variables.🌡️ Case studies involving a nonisothermal reactor and a penicillin fermentation process showcase the power of DoDE. With just a handful of experiments, precise process optimization becomes a reality, even without a comprehensive knowledge-driven model.💡 The results? Optimal operating conditions obtained through DoDE are remarkably close to those derived from knowledge-driven models. This means faster, more efficient optimization for time-varying processes.📖 📚Dive deeper into this innovative methodology: https://lnkd.in/ei9ggXVG #ChemicalProcesses #ExperimentDesign #ProcessOptimization #Innovation #ChemicalEngineering

Lots of new things for mass spec in KnowItAll! See my website to learn how to use them in your work. https://lnkd.in/dsEaFwHP Also, in identification of illicit drugs. https://lnkd.in/eb-HtF_R