Canine ELISA Kits

Most of our Canine ELISA kits can be used with various samples such as serum, plasma, cell culture supernatants, body fluid and tissue homogenate samples. In order to have a better performance, we include a special balance solution for tissue-like samples which is used to make the ingredients of cell lysate, tissue homogenates, and some body fluid more similar to that of our standards and to reduce the interference of samples. 

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Canine ELISA Kits Types

Canine ELISA Kits FAQs

  • Q

    What kinds of canines are normally used in the research, and what is the scope of application?

    Experimental canines have wide usage. Experimental surgery is widely used in all aspects of experimental surgery, such as cardiovascular surgery, brain surgery, limb replantation, organ or tissue transplantation, etc. The medical experimental research canines are one of the most commonly used animals in basic medical research and teaching, especially in physiological, pharmacological, pathophysiological and other experimental studies. For chronic experimental research, due to canines' well cooperation with experiments through short-term training, they are very suitable for chronic experiments, such as conditioned reflex experiment, observation of therapeutic effect of various experiments, toxicology experiment, endocrine gland removal experiment, etc. About Pharmacological toxicological research and drug metabolism research, there are researches like the study on metabolism of sulfonamides and as well as the toxicity test of various new drugs before clinical use. Common experimental canines include beagles, 4-way hybrid canines, Mexican hairless canines and domestic canines (such as Chinese hounds, Tibetan shepherd canines, wolf canines, four eyed canines, North China canines, and northwest canines). 

  • Q

    How to determine whether the sample concentration is within the normal range?

    The distribution of samples has normal and skewed types, and the appropriate statistical method should be selected according to the different types of data distribution. The basic statistical principles include the percentile method, normal distribution method, non-parametric method, geometric mean method, etc. For a large number of samples, not less than 100 cases, the closer the sample distribution is to the overall distribution, the more reliable the results will be, and the result is likely to get closer to the normal range. For overall samples, the quality requirements must be met. it is necessary to exclude extreme data and exclude the gender and age factors of the sample. In addition, the instrument reagents used, operating proficiency, method accuracy, and records must be unified, and try to be consistent with the actual situation.

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