2017
DOI: 10.1016/j.microc.2016.11.014
|View full text |Cite
|
Sign up to set email alerts
|

The role of measurement uncertainty in the conformity assessment of the chemical composition of feeds

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2017
2017
2020
2020

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 10 publications
(4 citation statements)
references
References 29 publications
0
4
0
Order By: Relevance
“…Validation studies were carried out with the needed number of experiments to express the data reliability. However, as routine analyzes were continuously performed, the method was becoming more and more precise, with the increase in the number of measurements (degrees of freedom as a result of the decrease of the uncertainties arising from random effects) . Broadly speaking, the results obtained from validation and routine analysis have demonstrated that the method has the aimed metrologic reliability (Table ).…”
Section: Resultsmentioning
confidence: 99%
“…Validation studies were carried out with the needed number of experiments to express the data reliability. However, as routine analyzes were continuously performed, the method was becoming more and more precise, with the increase in the number of measurements (degrees of freedom as a result of the decrease of the uncertainties arising from random effects) . Broadly speaking, the results obtained from validation and routine analysis have demonstrated that the method has the aimed metrologic reliability (Table ).…”
Section: Resultsmentioning
confidence: 99%
“…On the other hand, the correct interpretation of the analytical results is fundamental because it will support important decision making, either by quality control and government agencies. Impacting consequences, such as the recall of products, destruction of large batches, application of fines, administrative and judicial proceedings, and damages to both human and animal health are some of the examples (Molognoni, Ploêncio, Machado, & Daguer, 2017). In addition, economic sanctions and barriers to international food trade have been based on the often-poor chemical metrology of some producing countries.…”
Section: Analytical Performance and Decision-makingmentioning
confidence: 99%
“…Type A uncertainty sources experimentally obtained during validation approaches, such as precision, bias, and residues from analytical curves, among others, may be initially overestimated. On the other hand, these values serve as a basis for the improvement of measuring quality, because they tend to decrease, while the number of measurements increases due to routine analysis (Molognoni et al, 2017). Furthermore, the use of internal standardization can decrease the biggest sources of uncertainty, such as random effects due to analysts and equipment which can take place in long analytical processes with (Molognoni, Valese, Lorenzetti, Daguer, & Lindner, 2016).…”
Section: Analytical Performance and Decision-makingmentioning
confidence: 99%
“…aluminosilicate) which are not digested but bind toxic metabolites and mitotoxines secreted by undesired microorganisms which, as a result, go through a digestive tract in the unchanged form and are egested with feces without any detrimental influence on the animal body -antioxidants, -other different food products (Matuszek 2012, Zawiślak et al, 2011Molognoni et al, 2017).…”
Section: Introductionmentioning
confidence: 99%