Results 201 to 210 of about 31,974 (218)
Some of the next articles are maybe not open access.
European Food Research and Technology, 2008
The predominant approach for quantification of genetically modified organisms (GMO) is the application of quantitative real-time PCR. However, for a large number of processed food and feed products, this approach is unsuitable, because they contain low amounts (mass) of amplifiable DNA. Here we present a novel approach, “Single molecule quantification”
Knut G. Berdal +3 more
openaire +3 more sources
The predominant approach for quantification of genetically modified organisms (GMO) is the application of quantitative real-time PCR. However, for a large number of processed food and feed products, this approach is unsuitable, because they contain low amounts (mass) of amplifiable DNA. Here we present a novel approach, “Single molecule quantification”
Knut G. Berdal +3 more
openaire +3 more sources
2021
Optical methods (light or electron microscopy) are, in most cases, the basis for measuring the asbestos concentration either in air or in materials. The individual methods are described in a variety of guidelines or standards. The definition of terms like detection limit and analytical sensitivity have led to numerous discussions, driven by the fact ...
openaire +3 more sources
Optical methods (light or electron microscopy) are, in most cases, the basis for measuring the asbestos concentration either in air or in materials. The individual methods are described in a variety of guidelines or standards. The definition of terms like detection limit and analytical sensitivity have led to numerous discussions, driven by the fact ...
openaire +3 more sources
Validation of Chromatographic Methods: Determining the Limit of Quantification in Practice
Pharmaceutical Chemistry Journal, 2021Epshtein N A, N A Epshtein
exaly
Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences, 2022
Mariette Ackermans +2 more
exaly
Mariette Ackermans +2 more
exaly
Handling Data Below the Limit of Quantification in Mixed Effect Models
AAPS Journal, 2009Martin Bergstrand +2 more
exaly
Likelihood based approaches to handling data below the quantification limit using NONMEM VI
Journal of Pharmacokinetics and Pharmacodynamics, 2008Mats Karlsson +2 more
exaly

