Effect-based trigger values for in vitro and in vivo bioassays performed on surface water extracts supporting the environmental quality standards (EQS) of the European Water Framework Directive
Effect-based trigger values for in vitro and in vivo bioassays performed on surface water extracts supporting the environmental quality standards (EQS) of the European Water Framework Directive
Escher, Beate I.; Aїt-Aїssa, Selim; Behnisch, Peter A.; Brack, Werner; Brion, François; Brouwer, Abraham; Buchinger, Sebastian; Crawford, Sarah E.; Du Pasquier, David; Hamers, Timo; Hettwer, Karina; Hilscherová, Klára; Hollert, Henner; Kase, Robert; Kienle, Cornelia; Tindall, Andrew J.; Tuerk, Jochen; van der Oost, Ron; Vermeirssen, Etienne; Neale, Peta A. (2018)
Das erste Treffen der § 64 LFGB Arbeitsgruppe „Massenspektrometrische Proteinanalytik“
Das erste Treffen der § 64 LFGB Arbeitsgruppe „Massenspektrometrische Proteinanalytik“
Becker, René; Wittke, Stefan; Brockmeyer, Jens; Schwägele, Fredi; Jira, Wolfgang; Uhlig, Steffen; Pöpping, Bert; Szabo, Kathrin; Stoyke, Manfred (2018)
Published in:
Journal of Consumer Protection and Food Safety 101 (1), S. 96
Taking laboratory uncertainties into account in the Hampel estimator
Taking laboratory uncertainties into account in the Hampel estimator
Steffen Uhlig, Bertrand Colson, Petra Gowik (2018)
Published in:
Accreditation and Quality Assurance
QuoData organizes in-house training for validation of analytical methods
In addition to the development of software and concepts for analytical quality assurance, QuoData also provides individual in-house workshops and training. Topics, training materials and examples are always adapted to the field of application of the participants.
From 23 to 24 May 2018, QuoData held a two-day in-house training course on the validation of analytical methods and DIN EN ISO/IEC 17025:2018 based on practical examples on behalf of one of the world's leading providers of solutions for the healthcare market.
Artificial neural networks for the detection of food fraud - Data Scientists at Eurachem workshop in Dublin
The Eurachem Week 2018 took place from 14 - 18 May 2018. As a developer of mathematical-statistical concepts for quality assurance QuoData contributed to the event. Its data scientists and Carsten Uhlig of Akees GmbH presented a new approach to detect food fraud more quickly at the "Workshop on Data - Quality, Analysis and Integrity”, which was developed in cooperation with the Federal Office for Consumer Protection and Food Safety (BVL).
Joint research project – app to determine the best before date
Often food is still edible after the best before date, but is still sorted out by the consumer.
On the other hand storage conditions that are not optimal can shorten the shelf life.
A joint research project funded by the German Federal Ministry of Food and Agriculture (BMEL) is to find a remedy.
Reproducibility of the detection limit of qualitative methods (LOD) in microbiology
"Efficient estimation of the limit of detection and the relative limit of detection along with their reproducibility in the validation of qualitative microbiological methods by means of generalized linear mixed models", Steffen Uhlig, Petra Gowik
QuoData presents novel approach to tackle food fraud cases
QuoData will be in Dublin, Ireland from May 14th to 15th for the Eurachem 2018 Scientific Workshop on quality, analysis & integrity of data. QuoData makes a contribution with a presentation on the application of machine learning algorithms for multiparameter methods to determine food fraud issues.
Data Scientists of QuoData carry out workshop at US NIST
Besides its annual workshops, QuoData also offers individual training. These seminars can be conducted on the customer’s premises. Thus QuoData scientists can contribute tailored statistical expertise in the field of analytical quality assurance.
Case study: international interlaboratory method validation study – Arxula Yeast Estrogen Screen
Results of an international interlaboratory method validation study carried out by QuoData have been published.