Title |
Evaluation of crystal violet decolorization assay for minimal inhibitory concentration detection of primary antituberculosis drugs against Mycobacterium tuberculosis isolates*
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Published in |
Memórias do Instituto Oswaldo Cruz, June 2016
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DOI | 10.1590/0074-02760160082 |
Pubmed ID | |
Authors |
Ahmet Yilmaz Coban, Ahmet Ugur Akbal, Meltem Uzun, Yeliz Tanriverdi Cayci, Asuman Birinci, Belma Durupinar |
Abstract |
In this study we evaluated the crystal violet decolorization assay (CVDA) for detection of minimum inhibitory concentration (MIC) of antituberculosis drugs. 53 isolates were tested in this study and 13 of them were multidrug resistant (MDR) isolates. The antibiotics concentrations were 2-0.06 mg/L for isoniazid (INH) and rifampicin (RIF) and were 16-0.25 mg/L for streptomycin (STM) and ethambutol (EMB). Crystal violet (CV-25 mg/L) was added into the microwells on the seventh day of incubation and incubation was continued until decolorization. Decolorization of CV was the predictor of bacterial growth. Overall agreements for four drugs were detected as 98.1%, and the average time was detected as 9.5 ± 0.89 day after inoculation. One isolate for INH and two isolates for STM were determined resistant in the reference method, but susceptible by the CVDA. One isolate was susceptible to EMB by the reference method, but resistant by the CVDA. All results were concordant for RIF. This study shows that CVDA is a rapid, reliable and suitable for determination of MIC values of Mycobacterium tuberculosis. And it can be used easily especially in countries with limited-sources. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 3 | 60% |
United States | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 7 | 19% |
Student > Ph. D. Student | 6 | 17% |
Student > Postgraduate | 3 | 8% |
Student > Doctoral Student | 2 | 6% |
Student > Master | 2 | 6% |
Other | 4 | 11% |
Unknown | 12 | 33% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 9 | 25% |
Immunology and Microbiology | 4 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
Agricultural and Biological Sciences | 2 | 6% |
Social Sciences | 2 | 6% |
Other | 4 | 11% |
Unknown | 12 | 33% |