Sampling: an approach that raises quality

Caspeo assists you in the elaboration and implementation of your sampling strategy.

Data of maximum reliability must be obtained before decisions can be made concerning:
    - process development,
    - site diagnosis,
    - plant audits.
Such data generally are acquired by the measuring of parameters obtained from individual samples; only rarely are they based on batch measurements, e.g. radioactivity and temperature. Sampling aims at representing a batch of material through a small fraction of it.

Many factors can interfere with sampling, such as systematic bias, nugget effects, size of the components sampled, type of sampling, etc. Therefore, a Sampling Plan or Flowsheet must be adapted to the specific characteristics of the batch and the units to be sampled, i.e. content, concentration, humidity, size, etc. This flowsheet helps overcome the problem of distribution heterogeneity.

Despite the precautions taken during sampling, an unavoidable error is introduced when the material has a heterogeneous composition. In the Pierre Gy's theory, this error is known as the Fundamental Sampling Error (FSE) and can be quantified with the ECHANT software.