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World Journal of Engineering Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)

ISSN 2454-695X

Impact Factor : 7.029

ICV : 79.45

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Indexing

Abstract

OPTIMIZATION OF OPTICAL IMMUNE BIOSENSOR WORK AT THE EXPRESS DETERMINATION OF THE INSULIN SPECIFIC ANTIBODIES

M. F. Starodub* and M. I. Fedelesh-Gladinets

ABSTRACT

Summary: The detection of individual autoantibodies, including insulin-specific ones, in the blood of patients is essential at the diagnosis and treatment of diabetes. The existing traditional methods allow for the necessary analysis, but they require considerable time for its implementation, the availability of specialized stationary laboratories and are quite expensive. An alternative solution is to use analytical tools based on biosensor principles. This article presents the results of studies on the optimization of the work of the immune biosensor based on the surface plasmon resonance (SPR) at the analysis of anti-insulin immunoglobulin's (Ig). It has been found that the preliminary preparation of the transducer surface of the SPR with a monolayer of such polyelectrolyte as polyallylamine (PAA) hydrochloride is the best option. Because the sensitivity and specificity of the biosensor SPR is quite high when used on the transducer surface of an insulin monolayer at the identification of the diabetic patients, there is no need to form its branched layers, despite the fact that this significantly increases the sensitivity of the assay. The concentration of insulin to be immobilized on the surface of the transducer should be in the range of 250-500 ?g/ml. The simplest and most appropriate for practice is the using assay that involves the direct interaction of insulin with specific serum antibodies. To avoid nonspecific reactions at the determination ot anti-insulin Ig the dilution of serum blood should be 10-100 times.

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