Detection of IFN-γ for latent tuberculosis diagnosis using an anodized aluminum oxide-based capacitive sensor

Joo Hyoung Kim, Young Wook Chang, Eun Bok, Hyun Jeong Kim, Hyejon Lee, Sang Nae Cho, Jeon Soo Shin, Kyung Hwa Yoo

Research output: Contribution to journalArticle

13 Citations (Scopus)


We describe a rapid, sensitive, and label-free method to detect interferon-gamma (IFN-γ), a biomarker of latent tuberculosis infection (LTBI). IFN-γ is detected by measuring the capacitance change caused by its binding to an anti-IFN-γ antibody. The antibody is immobilized on the surface of an anodized aluminum oxide (AAO)-based capacitive sensor. With this technique, IFN-γ can be detected in the range of ~0.1. pg/ml to ~10. ng/ml, with a detection limit of 0.2. pg/ml. We have also measured the concentration of IFN-γ in clinical samples using the AAO-based capacitive sensor and compared this concentration with the results of the commercial QuantiFERON-TB Gold (QFT-G) ELISA kit to determine whether the two sets of data are consistent. Comparable results were obtained with the two measurement strategies, demonstrating the applicability of the AAO-based capacitive sensor to the diagnosis of LTBI.

Original languageEnglish
Pages (from-to)366-370
Number of pages5
JournalBiosensors and Bioelectronics
Publication statusPublished - 2014 Jan 15


All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biophysics
  • Biomedical Engineering
  • Electrochemistry

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