National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
High-sensitivity C-reactive protein (hsCRP) is an important marker of inflammation to predict the risk of CVDs. Existing reagent system for the detection of hs CRP has its limitation such as higher cost and requirement of sophisticated instruments, which minimize the utility of this effective marker utility in Indian population. The study was aimed to formulate and validate an improved reagent system for the detection of hs CRP. The study was targeted to formulate a latex-enhanced reagent format by selecting inert microscopic latex particles. Antibody titration for optimal coating was confirmed in different standard conditions. Reaction buffer characterization for colloidal stability was confirmed and sensitivity setting of the reagent was carried out. Performance validation of the assay was carried by confirming sensitivity, specificity, and precision. Studies of Interference substance testing was carried out for hemoglobin and Bilirubin. The prepared reagent system were tested and compared with existing standard hs CRP reagent systems. An effective reagent system was prepared by selecting Thermo fisher latex of size 0.46 μm with functional modification as carboxyl modified latex. Protein optimization trial yield as 500μg- 750μg of Anti CRP required for 1mg weight latex. BSA 1 % w/v showed good colloidal stability at room temperature and at 37ËšC. Performance validation of the assay was carried out and confirmed the sensitivity specificity, precision and interference testing on hemoglobin and Bilirubin. Comparison of the sample with existing reagent systems shows the effectiveness of the reagent system the prepared reagent formulation was rapid, cost effective, and reproducible and was comparable with the reference method used in clinical practice. The advantage of this proposed methodology is that it does not require any high end automated systems for the estimation.
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