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1.
Braz. j. infect. dis ; 18(6): 600-608, Nov-Dec/2014. tab, graf
Article in English | LILACS | ID: lil-730425

ABSTRACT

Mycobacterium tuberculosis, the causing agent of tuberculosis, comes second only after HIV on the list of infectious agents slaughtering many worldwide. Due to the limitations behind the conventional detection methods, it is therefore critical to develop new sensitive sensing systems capable of quick detection of the infectious agent. In the present study, the surface modified cadmium-telluride quantum dots and gold nanoparticles conjunct with two specific oligonucleotides against early secretory antigenic target 6 were used to develop a sandwich-form fluorescence resonance energy transfer-based biosensor to detect M. tuberculosis complex and differentiate M. tuberculosis and M. bovis Bacille Calmette–Guerin simultaneously. The sensitivity and specificity of the newly developed biosensor were 94.2% and 86.6%, respectively, while the sensitivity and specificity of polymerase chain reaction and nested polymerase chain reaction were considerably lower, 74.2%, 73.3% and 82.8%, 80%, respectively. The detection limits of the sandwich-form fluorescence resonance energy transfer-based biosensor were far lower (10 fg) than those of the polymerase chain reaction and nested polymerase chain reaction (100 fg). Although the cost of the developed nanobiosensor was slightly higher than those of the polymerase chain reaction-based techniques, its unique advantages in terms of turnaround time, higher sensitivity and specificity, as well as a 10-fold lower detection limit would clearly recommend this test as a more appropriate and cost-effective tool for large scale operations.


Subject(s)
Humans , Biosensing Techniques/methods , Mycobacterium bovis/isolation & purification , Mycobacterium tuberculosis/isolation & purification , Sputum/microbiology , Tuberculosis, Pulmonary/diagnosis , Cadmium Compounds , Fluorescence Resonance Energy Transfer/instrumentation , Fluorescence Resonance Energy Transfer/methods , Gold , Metal Nanoparticles , Polymerase Chain Reaction , Reproducibility of Results , Sensitivity and Specificity , Tellurium
2.
Braz. j. microbiol ; 42(3): 964-972, July-Sept. 2011. ilus, tab
Article in English | LILACS | ID: lil-607526

ABSTRACT

Rapid detection of Mycobacterium tuberculosis complex (MTBC) is a critical step in controlling tuberculosis (TB). In this study, we used IS6110 as the specific identification target to develop a novel hybridization signal amplification method (HSAM) for the rapid and direct detection of MTBC from clinical sputum specimens. This system consists of magnetic bead-linked capture probes for target isolation, dextranbased nanoparticles for amplifying the reporter molecule (biotinylated-FITC), and detection probes (2B-DNA) for binding the nanoparticles. Both the capture and detection probes were specific to the IS6110 target sequence. Our results determined that as few as 10 copies of the IS6110 sequence or 10 M. tuberculosis bacteria could be detected, indicating that the HSAM assay is as sensitive as conventional PCR, and the assay was specific enough to distinguish MTBC from nontuberculosis mycobacteria (NTM). A total of 176 clinical sputum specimens were collected for HSAM evaluation, and the results were compared to those from traditional culture and biochemical identification techniques. This assay had a sensitivity of 88.3 percent, a specificity of 91.8 percent, a positive predictive value of 93.8 percent and a negative predictive value of 84.8 percent for the detection of MTBC. This technique is highly sensitive and specific, is easy to perform, and does not require any sophisticated detection equipment; thus, this approach has great potential in clinical TB detection and diagnostic applications.


Subject(s)
Humans , Base Sequence , Diagnostic Techniques and Procedures , Mycobacterium tuberculosis/genetics , Mycobacterium tuberculosis/isolation & purification , Nucleic Acid Amplification Techniques , Tuberculosis , Methods , Microscopy, Fluorescence/methods , Methods
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