Launch of the New Round of the Interlaboratory Trial “Hormonal Effects 2026”
After three successful rounds with a continuously growing number of participants, QuoData is pleased to announce the next round of the interlaboratory trial “Hormonal Effects 2026,” dedicated to in vitro bioassays for the effect-based determination of hormonal activity in water and food samples. This external quality assessment (EQA) will take place in autumn 2026 and is organized by QuoData GmbH in cooperation with QD Labs.
The interlaboratory trial provides participating laboratories with the following opportunities:
QuoData at the InnovationForum Kunststofftechnik 2026
QuoData at the InnovationForum Kunststofftechnik 2026
On April 21, 2026, QuoData will participate in the Innovation Forum Plastics Technology in Villingen-Schwenningen. The event is organized by the Kunststoff-Institut Lüdenscheid in cooperation with Technology Mountains e.V. and the IHK Schwarzwald-Baar-Heuberg.
Non-Targeted Screening Method for Detecting Temporal Shifts in Spectral Patterns of Methicillin-Resistant Staphylococcus aureus and Post Hoc Description of Peak Features
Non-Targeted Screening Method for Detecting Temporal Shifts in Spectral Patterns of Methicillin-Resistant Staphylococcus aureus and Post Hoc Description of Peak Features
Kapil Nichani, Steffen Uhlig, Victor San Martin, Karina Hettwer, Kirstin Frost, Ulrike Steinacker, Heike Kaspar, Petra Gowik, Sabine Kemmlein (2026)
Published in:
Microorganisms 2026: https://doi.org/10.3390/microorganisms14010104
Shaping Global Standards: QuoData Scientists Present New Statistical Sampling Concepts at the 45th CCMAS Session
Working Student - Molecular biology, quality management & marketing (m/f/d)
Predictive Maintenance and Round Robin Testing: Navigating Sensor Measurement Uncertainty in Industrial Environments
Modern industrial operations demand predictive maintenance strategies backed by robust quality assurance. Yet many organizations struggle with a critical challenge: measurement uncertainty in sensor systems undermines the very foundation of reliable condition monitoring and accurate failure prediction.
New IFSH Training Platform for Microbiological Method Validation and Proficiency Testing – Powered by QuoData’s Solution µKPI
In food microbiology and toxicology, as in many scientific disciplines, method validation can be a challenging task. The complexity stems not only from the strict experimental design and data requirements, but also from the advanced statistical modeling involved and the demand for structured, transparent documentation. Yet these are precisely the foundations for ensuring method reliability, laboratory quality assurance, and regulatory compliance.
Another Important Contribution to the Scientific World from QuoData: "In-house validation of a droplet digital PCR system using a multifactorial experimental design"
Determination of limit of detection and relative limit of detection of Salmonella in raw pet food matrices using Salmonella bacteriological analytical manual methods
Determination of limit of detection and relative limit of detection of Salmonella in raw pet food matrices using Salmonella bacteriological analytical manual methods
Shannon Kiener, Emily Smith, Neha Singh, Sarah M. Nemser, Karina Hettwer, Megan R. Miller, Andriy Tkachenko, Steffen Uhlig, Ravinder Reddy (2025)
Published in:
Journal of Microbiological Methods 2025, 232, 107116; https://doi.org/10.1016/j.mimet.2025.107116
On suitability of measures of amplitude for quality assurance of vibration sensing systems in structural health monitoring
On suitability of measures of amplitude for quality assurance of vibration sensing systems in structural health monitoring
Kapil Nichani, Victor San Martin, Yogi Jaelani, Kirstin Frost, Carina Beering, Karina Hettwer, Sven Knoth, Sylvia Keßler, Steffen Uhlig (2025)
Published in:
Structural Concrete 2025: https://onlinelibrary.wiley.com/doi/abs/10.1002/suco.70070?msockid=280e7ea832666c9a08056a7c33ca6d21