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Impurity levels measurement

Impurity levels measurement

Technique(s)
Sector of activity
Expertise

Physicochemical, Authenticity

Description

Impurities , or formulations. They can originate from various processes: synthesis residues, degradation byproducts, cross-contamination during manufacturing, or migration from equipment and packaging. Their presence, even at very low concentrations, can impact the quality, safety, and regulatory compliance of products. Therefore, impurity analysis is a key step in ensuring the reliability and traceability of products intended for animal nutrition and other industrial applications.

Analytical methods for the determination of impurities

The choice of method depends on the nature of the impurities being sought and the matrix being analyzed:

  • HPLC (High Performance Liquid Chromatography) : suitable for organic impurities, particularly those resulting from synthesis or degradation.
  • LC-MS (Liquid Chromatography coupled with Mass Spectrometry) : allows the specific identification of complex structural impurities, even at low levels.
  • GC-MS (Gas Chromatography coupled with Mass Spectrometry) : used for volatile or semi-volatile impurities.
  • ICP-MS / ICP-OES (Inductively coupled plasma optical mass or emission spectrometry) : essential for detecting metallic impurities and traces of mineral elements.

These analytical approaches are comparable to the protocols applied for other contaminant controls, such as the measurement of heavy metals or adjuvants .

Industrial applications and compliance issues

Impurity analysis is a cross-cutting tool used in several sectors:

  • Animal nutrition : securing raw materials, additives and formulations to avoid any impact on animal health and livestock performance.
  • Dietary supplements : quality control and compliance of bioactive ingredients.
  • Plant extracts : verification of purity and prevention of residues related to harvesting, extraction or processing.
  • Processed products : validation of stability and compliance with applicable standards.

This control helps to reduce regulatory and commercial risks, in the same way as other strategic services such as allergen or mycotoxin testing .

Matrices analyzed for impurity determination

YesWeLab supports a wide variety of matrices: raw or concentrated plant extracts, agricultural and industrial raw materials, nutritional additives, animal formulations, and dietary supplements. Each matrix is ​​processed using a customized approach, ensuring the sensitivity and reliability of the results.

Quality and safety issues

Analytical monitoring of impurities serves several purposes:

  • Securing animal and human health by eliminating the risks associated with unwanted contaminants.
  • Ensure regulatory compliance with international standards for food safety and labeling.
  • Ensure consistency and traceability between different production batches.
  • Strengthen customer and distributor confidence by attesting to the quality and purity of the products sold.

These issues are part of a comprehensive quality control approach, comparable to other critical analyses such as pesticide or pharmaceutical residue testing.

YesWeLab's expertise in impurity analysis

YesWeLab collaborates with a network of over 200 partner laboratories in France and Europe, accredited to ISO 17025 and COFRAC standards. Our experts support each manufacturer in selecting the most suitable technique, based on the type of impurities to be detected and the matrix to be analyzed. Thanks to our digital platform, you can centralize your analytical requests: online quotes, real-time tracking of your samples, and rapid delivery of results. Since 2020, numerous players in the animal nutrition, food processing, and nutraceutical sectors have trusted us to ensure the quality of their products.

Take action

Do you need to detect and quantify impurities in your extracts, raw materials, or formulations? Entrust your samples to YesWeLab for reliable, precise, and compliant analysis. Request a quote online now for your tests.

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