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The error associated with sampling is often 100 times larger than the error in

analytical methods. Quality Control efforts in every industry depend on the

samples obtained from the process, and environmental studies also depend on the

samples obtained. In spite its importance sampling is not discussed in the majority

of analytical chemistry books. The Theory of Sampling (TOS) was developed by

Pierre Gy for the mining industry. Gy has defined sampling as "mass reduction of

lot L by selection of a certain subset of units, with the purpose--not always

fulfilled--of obtaining a true, reliable sample S (when the conditions of sampling

correctness are respected)” [1]. The course will not focus on sampling plans that

indicate the number of samples to obtain, but on how samples are obtained. The

course will prepare students to recognize the sources of sampling errors and how to

avoid them. The course will also review pharmaceutical and environmental

applications of TOS. [2,3]

References:

1. P. Gy, Sampling for Analytical Purposes, Wiley, Chichester, 1998.

2. K.H. Esbensen and P. Paasch-Mortensen, "Process Sampling: Theory of

Sampling-The Missing Link in Process Analytical Technologies (PAT)”. In

Process Analytical Technology, Edited by K.A. Bakeev, Wiley 2010.

3. RCRA Waste Sampling Draft Technical Guidance Planning, Implementation,

and Assessment, Environmental Protection Agency, August 2002.

Self enrolment (Student)
Self enrolment (Student)