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Technické informácie (2)

Technické správy (6)

  • White Paper: Reproducible Sample Preparation for Reliable Food Analysis

    How to turn a laboratory sample into a representative part sample with homogeneous analytical fineness - Food occurs in a great variety of consistencies and is often inhomogeneous. Food testing labs require representative samples to produce meaningful and reproducible analysis results. Therefore, food samples must be homogenized and pulverized to the required analytical fineness, ideally with as little time and effort as possible. Furthermore, reliable analytical results can only be obtained if the entire sample preparation process is carried out reproducibly.
  • Book Chapter on Sample Preparation for Food Analysis

    In the book "Ideas and Applications Toward Sample Preparation for Food and Beverage Analysis," (ISBN 978-953-51-3686-6), edited by Mark T. Stauffer, RETSCH has published a chapter on reliable sample preparation of food samples. This chapter describes the process of turning a laboratory sample into a representative part sample with homogeneous analytical fineness by choosing the most suitable mill. Important aspects of size reduction and homogenization are explained, a variety of application examples is given, and specific applications such as cryogenic grinding are discussed in detail.
  • The effect of grinding tools on metal contamination

    Reliable and accurate analysis results can only be guaranteed by reproducible sample preparation. This consists of transforming a laboratory sample into a representative part sample with homogeneous analytical fineness. Retsch offers a comprehensive range of the most modern mills and crushers for coarse, fine and ultra-fine size reduction of almost any material. The product range also comprises a wide choice of grinding tools and accessories which helps to ensure contamination-free preparation of a great variety of sample materials.
    The selection of the correct grinding tool depends on the sample material and the subsequent method of analysis. Different grinding tools have different characteristics, such as required energy input, hardness or wear-resistance.
  • Sample preparation of feeds and forage for NIR analysis

    The feed quality has a decisive influence on the productivity of livestock farming. However,  high-quality forage considerably adds to the costs of stock breeding. Consequently, economic considerations focus on the quality and quantity of the components used in the production process. This includes reliable analyses of feedstuff and ingredients from receipt of goods to final inspection as the best way to ensure a balanced feeding of the animals while keeping cost and profit orientation in focus.
    Near Infrared Spectroscopy (NIR) is the most important analytical method for the determination of protein content, moisture, fat and ash in feeds and forage. The advantage over classical methods such as Kjeldahl is the simultaneous determination
    of several parameters. Moreover, NIR spectroscopy is a quick method, which requires neither consumables nor reagents.
  • As fine as necessary

    A variety of methods can be used to analyze solid materials. What they all have in common is the necessity to use a representative, homogeneous analysis sample which needs to have a particular fineness, depending on the analytical method used. The size reduction and homogenization of solids is usually carried out with laboratory crushers and grinders.
  • White Paper: Representative Analysis Results Require Adequate Sample Preparation

    A faultless and comparable analysis is closely linked to an accurate sample handling. Only a sample representative of the initial material can provide meaningful analysis results. Rotating dividers and rotary tube dividers are an important means to ensure the representativeness of a sample and thus the reproducibility of the analysis. Correct sample handling consequently minimizes the probability of a production stop due to incorrect analysis results. Thus correct sample handling is the key to effective quality control.

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