HOW TO GET A REPRESENTATIVE SAMPLE: SAMPLING SCIENCE & TECHNOLOGY APPLIED TO FOOD & FEED

Analytical results, the basis for decision-making in science, technology, industry, society must be relevant, valid and reliable.

No analytical result is better than the samples it is based upon. Materials and processes are heterogeneous. Heterogeneity is the arch enemy of all sampling.

The Theory of Sampling (TOS) provides a complete description of heterogeneity and all errors involved in practical sampling and furnishes the necessary scientific competence and technological tools for defensible and documented representative sampling.

This webinar shows practically how Implementing TOS is a critical success factor for:

• Eliminating, or reducing, hidden economic losses due to non-representative analytical results
• Improving process understanding and efficiency (better on-line sampling, monitoring and control)
• Reducing raw materials and energy waste (by unbiased sampling accuracy and precision)
• Understanding how TOS is a missing link in Risk Assessment
• Increasing company professional credibilty and reputation - and ultimately increasing ROI)

This Webinar of 60 minutes including 15 min for Q&A, will be headed by Kim H. Esbensen, Ph.D., Dr. (h.c.), ATV

During the webinar, we will provide course documentation:

1. "Before reliable near infrared analysis - the critical sampling proviso. Part 1. Generalised Theory of Sampling (TOS)"

2. "Before reliable near infrared spectroscopic analysis - the critical sampling proviso. Part 2: Particular requirements for near infrared spectroscopy"