PerkinElmer
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MaxSignal® Clenbuterol ELISA Kit

The MaxSignal® Clenbuterol ELISA Kit is a competitive enzyme immunoassay for the quantitative analysis of clenbuterol in chicken, pork, beef, urine, and honey.

Part Number FOOD-1021-03
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Overview

ELISA for Rapid Screening of Clenbuterol Residues

The MaxSignal® Clenbuterol ELISA Test Kit is a competitive ELISA for the quantitative analysis of clenbuterol and other related ß-agonists in a variety of sample types. Clenbuterol is one of major ß-agonists illegally used in livestock production. It can improve the meat-to-fat ratio in fattened animals and accelerate livestock growth. It also has a relaxing effect on non-striated musculature and can be used as an antiasthmatic and a tocolytic agent in human beings. Therefore, excess clenbuterol residues in food products may lead to health risks for consumers. This has led to a prohibition of clenbuterol use in food production. Clenbuterol residues in food can be determined by methods such as HPLC or GC-MS. However, these traditional methods usually require very expensive preparation procedures. Alternatively, enzyme immunoassay (ELISA) can be used as a screening system, which is simple, rapid, sensitive and cost-effective compared with traditional methods.

This kit is manufactured to the international quality standard ISO 9001.

  • Detection Limit:
    • Beef: 0.4 ng/g or ppb
    • Chicken: 0.2 ng/g or ppb
    • Pork: 0.2 ng/g or ppb
    • Urine: 0.7 ng/g or ppb

Specifications

Quantity in a Package Amount 96.0 Tests
Sample Type Chicken, Pork, Beef, Urine, Honey
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Brochure

Meat & Seafood Interactive Brochure

Food testing labs like yours are constantly challenged with accurately analyzing samples quickly and efficiently – all while striving to reduce costs due to market forces. In this brochure you can find a range of solutions across multiple technologies, products, and services that meets or exceeds the testing needs of meat and seafood processors. Our solutions offer more efficiency and increased accuracy and sensitivity for better yields in real time with minimal training.

PDF 6 MB