Reactivo de diagnóstico humano de detección rápida y confiable de Elisa de aproximadamente CRP 0,1-300 mg/L

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Reactivo de diagnóstico humano de detección rápida y confiable de Elisa de aproximadamente CRP 0,1-300 mg/L

Elisa Test Kit

March 21, 2025

Category Connection: ELISA Test Kit

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Tags:

#TB Elisa Test Kit de IGRA #Equipo de diagnóstico del anticuerpo de IgG #HEV Igg humano Elisa Kit

Brief: Discover the Accurate CRP 0.1-300 mg/L ELISA Test Kit by Biovantion, designed for sensitive detection of C-reactive protein in human serum or plasma. This reliable diagnostic tool aids in assessing inflammation levels, monitoring disease progression, and guiding clinical decisions. Ideal for clinical laboratories and healthcare settings.

Related Product Features:

Wide detection range of 0.1-300 mg/L for CRP levels in human serum or plasma.
High sensitivity for early diagnosis and monitoring of inflammatory conditions.
Quantitative analysis using spectrophotometer or automated analyzer.
Suitable for clinical applications in rheumatology, cardiology, and infectious diseases.
Easy interpretation of results with elevated levels indicating inflammation.
Manufactured by Biovantion with high specificity and 18-month shelf life.
Certified under ISO13485, ensuring quality and reliability.
Available for customization with flexible packaging and delivery options.

Las preguntas:

What is the intended use of the CRP 0.1-300 mg/L ELISA Test Kit?

The kit is intended for in vitro diagnostic use to measure CRP concentrations in human serum or plasma, aiding in the assessment of inflammation levels and monitoring disease progression.
How sensitive is the CRP ELISA Test Kit?

The kit is highly sensitive, capable of detecting low levels of CRP (as low as 0.1 mg/L), which is crucial for early diagnosis and monitoring of inflammatory conditions.
What are the clinical applications of this CRP test?

The test is used in various medical fields, including rheumatology, cardiology, and infectious diseases, for differential diagnosis, monitoring treatment effectiveness, and predicting disease outcomes.