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However, without thorough statistical evaluations a testing strategy cannot be identified.
Considering the increased production and application of nanomaterials and related consumer products a testing strategy for NP should be established.
Design of a testing strategy involves statistical considerations, such as the development of a statistical prediction model.
Due to large gaps in data, significant amounts of groundwork are warranted for a testing strategy to be established on a sound scientific basis.
In the framework of toxicology, a testing strategy can be viewed as a series of steps which are taken to come to a final prediction about a characteristic of a compound under study.
Geochemical modelling revealed that a testing strategy built on CLP based leaching tests (liquid/solid ratio (L/S) ⩾ 10,000, pH range 5.5 8.5) avoids bias and is superior to the summation method with respect to both precision and accuracy.
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A tested strategy is available.
The first step in constructing a test strategy is to identify the tests necessary to ensure the proper working of the product.
This paper presents a test strategy to detect interactive effects between several mycotoxins using a DNA synthesis inhibition assay in L929 cells.
Finally, it is important to understand that a test strategy does not necessarily lead to more quality-adjusted life-years (QALYs).
Therefore, the setting of a test strategy becomes necessary, and the purpose is to validate, throughout the product life cycle, the instrument operation.
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