Test design and results of a method performancecharacterization study for SPF and UVA-PF testing
Test design and results of a method performancecharacterization study for SPF and UVA-PF testing
Bertrand Colson, Jürgen Vollhardt, Curtis Cole, Ludger Kolbe, Paul Matts, Benoit Muller, Luciano Nogueira, Sergio Oliveira, Marc Pissavini, Florence Pouradier, Gerald Renner, Mathias Rohr, Eduardo Ruvolo, Caroline Tricaud, ALT-SPF Consortium, Steffen Uhlig (2025)
Published in:
Int J Cosmet Sci.: https://onlinelibrary.wiley.com/doi/10.1111/ics.70019
In-house validation of a droplet digital PCR system using a multifactorial experimental design
In-house validation of a droplet digital PCR system using a multifactorial experimental design
Christopher Weidner, Sophia Edelmann, Emilie Dagand, Kathrin Lieske, Jörn Lämke, Bertrand Colson, Steffen Uhlig, Joachim Mankertz (2025)
Published in:
Anal Chim Acta: https://pubmed.ncbi.nlm.nih.gov/40447408/
On the Role and Reality of Digital Reference Materials
On the Role and Reality of Digital Reference Materials
Kapil Nichani, Frederik Fleissner, Bertrand Colson, Coralie Leonard (2025)
Published in:
ChemRxiv 2025: https://doi.org/10.26434/chemrxiv-2025-kl68b
Time‐domain analysis of signal morphology and features as suitable surrogates for structural monitoring
Time‐domain analysis of signal morphology and features as suitable surrogates for structural monitoring
Kapil Nichani, Steffen Uhlig, Victor San Martin, Yogi Jaelani, Kirstin Frost, Carina Beering, Karina Hettwer, Sven Knoth, Sylvia Keßler (2025)
Published in:
Structural Concrete 2025: https://onlinelibrary.wiley.com/doi/10.1002/suco.70315
Analysis of Method Performance for Quantitative Assessment of Listeria monocytogenes in Queso Fresco Cheese
Analysis of Method Performance for Quantitative Assessment of Listeria monocytogenes in Queso Fresco Cheese
Neha Singh, Ravinder Reddy, Karina Hettwer, Kirstin Frost, Matthew Kmet, Steffen Uhlig (2025)
Published in:
Journal of Food Protection: https://doi.org/10.1016/j.jfp.2024.100448
Model-Based Prediction of the Tensile Properties of Polypropylene Films Made from Recycled Materials
Model-Based Prediction of the Tensile Properties of Polypropylene Films Made from Recycled Materials
Marius Stieglitz, Sonja Adomeit, Marisa Müller, Karina Hettwer, Anja Schlierf, Steffen Uhlig, Sarah David, Christian Hopmann, Lisa Leuchtenberger-Engel (2025)
Published in:
Polymers 2025, 17(8), 1044; https://doi.org/10.3390/polym17081044
FDA Temporarily suspends bird flu testing program amid organizational changes
Beyond spreadsheets: Automated classification of emails, documents and images from a library of files
Structured data extraction—the process of transforming unstructured text, images, or documents into organized formats like JSON or databases—has undergone a revolution with large language models (LLMs). Here’s how AI reshapes this field and what you need to consider.
QuoData Participates in RAFA 2024 Symposium on Food Analysis
QuoData Participates in RAFA 2024 Symposium on Food Analysis
QuoData is excited to participate in the upcoming RAFA 2024, the 11th International Symposium on Recent Advances in Food Analysis, held in Prague from November 5th to 8th. This event will bring together experts in the field of food science to discuss the latest trends in analytical and bioanalytical strategies for food quality and food safety, alongside challenges and novel approaches in food and natural product analysis.
Ensuring Comparability Across Laboratories with Cequator’s Peer Grouping
In a clinical external quality assurance (EQA) program, peer grouping is an option to ensure better-suited comparisons between laboratories. A peer group consists of laboratories that use the same or similar analytical methods, instruments, reagent systems, etc. Peer groups are helpful to identify systematic issues—such as due to instrument make, calibration drift or reagent issues—and for alleviating issues related to the non-commutability of samples (Tanasković et al., 2016).