MeltPro® MTB/SL Test Kit

MeltPro® MTB/SL Test Kit

Cat. No.: 801206

Product Details


Reference Articles

Product Tags

MeltPro® Mycobacterium tuberculosis Second-line Injectable Drug-resistance Mutation Test Kit

Mycobacterium tuberculosis Second-line Injectable Drug-resistance Mutation Test is suitable for rapid,
qualitative detection of second-line injectable drug-resistance mutations in Mycobacterium tuberculosis.

Mycobacterium tuberculosis Second-line Injectable Drug-resistance Mutation Test is based on the
Probe-based Melting Curve Analysis. According to the change in Tm value between targets and the
corresponding wild-type probe sequences, the test detects the mutations in rrs (positions 1401, 1402 and 1484) and eis promoter region (positions -37, -14 and -10), which reports second-line
injectable drug-resistance information.

Principle of Probe-Based Melting Curve Analysis

Probe-based melting curve analysis is based on melting temperature generated by thermal denaturation of
the probe-target hybrid. Melting curve plot of fluorescence (F) versus temperature (T) is transformed into
melting peak by plotting -dF/dT versus temperature. The hybridization probe with fully matched wild-type
target gives the highest Tm value. With matched mutant-type target, it gives the lower Tm value.
Mutation is detected as Tm deviation (△Tm ) compared to the wild-type hybrid.

 Intended Use: CE marked for IVD use in Europe.

Features Specifications
Size 48 tests/kit
Sample Cultured Mycobacterium tuberculosis specimens or sputum samples
PCR instrument Zeesan SLAN96
Storage -18°C
Shelf Life 12 months

Please contact for further information.

1. Evaluation of the MeltPro TB STR assay for rapid detection of streptomycin resistance in MTB   Tuberculosis 95 (2015) 162e169, Elsevier Ltd, 2015

2. Drug-Resistant Tuberculosis Test From China’s Zeesan Biotech Performs Well in Clinical Validation    GenomeWeb, 2016

3. Rapid diagnosis of MDR and XDR tuberculosis with the MeltPro TB assay in China     Scientific Reports | 6:25330 | DOI: 10.1038/srep25330, Nature, 2016



  • captcha