Scientific Basis Ensures Valid Test Results
If possible, we examine products using lab analyses. We use four types of lab analyses to generate high end test results
- Organic qualitative analysis
- Inorganic qualitative testing
- Experimental set-up for performance testing
- Sensoric qualitative analyses
Using organic qualitative analyses one can determine natural substances, compounds and contaminants. The analytical set-up and instruments used depend on the questions to be answered. There is no uniform, standard solution.
Using inorganic qualitative analyses one can determine constituents. Normally, in our lab analyses we pay special attention to harmful elements, like carcinogenic substances like plasticizers (PCB).
Lab conditions also for performance testing
In order to compare products, experimental set-ups are extremely valuable. Using all products (samples) in the same set-up, one can scientifically compare the performance of products with each other.
Together with our laboratory partners we design experimental set-ups for each product category we examine. Set-ups differ strongly between different product categories.
Typical set-ups aim at understanding the maximum stress a product (and its forming material) can stand, in the form of force, heat, moisture, electrical power etc.
Mechanical load testing allows the simulation of long-term usage and proves the usability of products over time.
The following images show an experimental set-up to test pruning shears.
If taste is a criteria, as very often in food testing, we use sensoric qualitative analyses. Well-trained testers taste different products following a strict process. Before tasting, all products are white-labelled to avoid other influences on the results.
Sometimes, as an alternative, we use mass-taste-testing through normal consumer panels. The standard sample size for these types of test is 60 consumers.
At CGG we co-operate with numerous analytical labs. There is no one lab able to fulfill all research needs. In addition, one of our major principles of doing business is independency. This also means independency from suppliers.
Whatever analysis is used to generate results, the results finally are aggregated through a scoring model to determine a clear ranking of the products examined.