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Rapid identification of Mycobacterium tuberculosis infection by a new array format-based surface plasmon resonance method

Shang-Chen Hsieh1, Chia-Chen Chang2, Chia-Chen Lu3, Chia-Fong Wei1, Chuan-Sheng Lin1, Hsin-Chih Lai1* and Chii-Wann Lin24*

Author Affiliations

1 Graduate Institute of Medical Biotechnology and Laboratory Science, and Research Center for Pathogenic Bacteria, Chang Gung University, No. 259, Wen-Hwa 1st Road, Kwei-Shan, Tao-Yuan, 333, Taiwan

2 Institute of Biomedical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan

3 Department of Respiratory Therapy, College of Medicine, Fu Jen Catholic University, No. 510, Zhongzheng Road, Xinzhung District, New Taipei City, 24205, Taiwan

4 Center for Emerging Material and Advanced Devices, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan

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Nanoscale Research Letters 2012, 7:180  doi:10.1186/1556-276X-7-180

Published: 8 March 2012

Abstract

Tubercle bacillus [TB] is one of the most important chronic infectious diseases that cause millions of deaths annually. While conventional smear microscopy and culture methods are widely used for diagnosis of TB, the former is insensitive, and the latter takes up to 6 to 8 weeks to provide a result, limiting the value of these methods in aiding diagnosis and intermediate decisions on treatment. Therefore, a rapid detection method is essential for the diagnosis, prognosis assessment, and recurrence monitoring. A new surface plasmon resonance [SPR] biosensor based on an array format, which allowed immobilizing nine TB antigens onto the sensor chip, was constructed. Simultaneous determination of multiple TB antibodies in serum had been accomplished with this array-based SPR system. The results were compared with enzyme-linked immunosorbent assay, a conventional immunological method. Array-based SPR showed more advantages in providing label-free and real-time detection. Additionally, the high sensitivity and specificity for the detection of TB infection showed its potential for future development of biosensor arrays for TB diagnosis.

Keywords:
identification; TB; SPR; biosensor; antigen