Tetracyclines & Macrolides in Honey Blank Material

Note: Fees (prices) on this site are in GBP and do not include carriage / handling fees and VAT. Customers outside the UK may also incur local charges, including (but not limited to) import duties, local taxes and customs clearance fees, which may add significant cost to your order. Prices here are for the PT round or QC / Reference Material only and the total price payable may be higher.

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Product Specification

Proficiency Test Information
Product Code Proficiency Test Matrix Approx. Size
BLVD27-HON1

02584b

Blank Honey

40 g

Analytes

Blank Material (tetracyclines & macrolides)

Comments

This round cannot be purchased on its own, it is only available in conjunction with the similarly numbered vet. drug residue round.

Test Description

This blank honey material is available to complement the proficiency test material for tetracyclines and macrolides analysis.  The blank material ensures that fully matrix-matched calibrations can be constructed.

Tetracyclines are used to treat a number of bacterial infections in multiple different instances, including within bee hives for honey production. They are therefore invaluable when improving yields in both quality and quantity of stock. When improving yields good farming practices must be employed, where the maximum benefits can be utilised with issues being controlled effectively.

Honey enjoys large demand putting increased strain on global supply chains. This is compounded by the fragile nature of bees and the general consensus that their habitats are heavily impacted by a growing population.

Laboratories must employ effective testing backed through proficiency testing, giving the credibility in results needed for key stakeholders to make far reaching decisions. Fapas proficiency testing take this a step further by utilising real food samples to provide the closest comparison to your routine testing activities. This allows effective quality control processes to be maintained and improved, which have wide ranging effects on testing success.

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