Fr. 79.00

Nitrate Reductase Assay- For Detection of MDR Tuberculosis

English, German · Paperback / Softback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more

Tuberculosis remains a major health problem worldwide. Further, the incidence of TB is complicated by the increasing incidence of MDR strains of TB bacilli and India is amongst the topmost countries to bear the brunt of morbidity and mortality. The frequency of incidence of MDR-TB could be minimized if rapid DST techniques are used. For rapid detection of TB, various colorimetric and non-colorimetric assays have been developed. Among the colorimetric assays, NRA has been demonstrated to be a promising technique for the timely identification of drug resistant TB. It saves time and labour (avoids pre-isolation of MTB from sputum specimens) and represents the patient's original bacterial population as this assay can be performed directly on smear positive sputum specimens.

About the author

Dr.Rumana Farooq Mir did her MBBS from SKIMS, Srinagar and M.D Microbiology from MMIMSR,Ambala Haryana. At present she is working as a senior resident in Department of Microbiology Government Medical College, Srinagar.She has published papers in journals of repute.Her interests are in the field of immunology and infectious diseases.

Product details

Authors Ruman Farooq Mir, Rumana Farooq Mir, Shin Pottathil, Shinu Pottathil, Varsha Singh, Varsha A Singh, Varsha A. Singh
Publisher LAP Lambert Academic Publishing
 
Languages English, German
Product format Paperback / Softback
Released 30.04.2016
 
EAN 9783659866104
ISBN 978-3-659-86610-4
No. of pages 136
Subject Natural sciences, medicine, IT, technology > Biology > Microbiology

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.