How Metabolomics Normalization Enhances Reproducibility in Studies

In the world of life sciences, reproducibility is everything. Whether you’re working on biomarker discovery, drug development, or disease modeling, your findings must be reliable, repeatable, and consistent across experiments and labs. Yet, when it comes to metabolomics—a powerful tool for studying biochemical processes at the molecular level—reproducibility remains one of the most significant challenges.…

Why Mass Spectral Libraries Are Essential in Modern Analytical Chemistry

Mass spectrometry has become a cornerstone of analytical chemistry, allowing scientists to detect, identify, and quantify compounds with remarkable sensitivity. But even the most advanced instrumentation is only as powerful as the data it’s referencing. That’s where Mass Spectral Libraries come in—comprehensive collections of known spectra that act as critical reference points in identifying unknown…

How to Identify and Validate Metabolite-based Biomarkers?

Clinical Metabolomics is evolving and revolutionizing how we approach disease diagnostics and treatment personalization. At the heart of this revolution are metabolite-based biomarkers, critical indicators of physiological and pathological states derived from metabolic processes. These biomarkers offer unprecedented insights into the underlying mechanisms of diseases, enabling early diagnosis and the development of targeted therapies. At…

How to Standardize Metabolomics Normalization with IROA?

Metabolomics has matured into a critical facet of systems biology. Presently, it aims at identifying and quantifying the diverse metabolites within a cell, tissue, or organism under various conditions. A key component in metabolomics research is the normalization process, ensuring that data is accurate and comparable across experiments. IROA Technologies offers innovative solutions for metabolomics…

Semi-targeted analysis: A Framework to Consider

In this post I am laying out a framework to think about the space between targeted and untargeted approaches, all of which logically carries the name Semi-targeted.   Last week I had a friend tell me he was doing a “semi-targeted” analysis by retrieving only peaks that he knew he could name.  He still couldn’t quantitate them…