Surface plasmon resonance biosensor chips integrated with MoS2–MoO3 hybrid microflowers for rapid CFP-10 tuberculosis detection

Author:

Wulandari Chandra123,Septiani Ni Luh Wulan245,Gumilar Gilang26,Nuruddin Ahmad2ORCID,Nugraha 257,Iqbal Muhammad2,Wasisto Hutomo Suryo8ORCID,Yuliarto Brian257ORCID

Affiliation:

1. Doctoral Program of Engineering Physics, Faculty of Industrial Technology, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung 40132, Indonesia

2. Advanced Functional Materials Laboratory, Faculty of Industrial Technology, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung 41032, Indonesia

3. PT Biostark Analitika Inovasi, Bandung 40375, Indonesia

4. Research Center for Advanced Materials, National Research, and Innovation Agency (BRIN), Kawasan Puspiptek, South Tangerang 15134, Indonesia

5. BRIN and ITB Collaboration Research Center for Biosensor and Biodevices, Institut Teknologi Bandung, Bandung 40132, Indonesia

6. Research Center of Electronics, National Research and Innovation Agency (BRIN), Bandung, 40135, Indonesia

7. Research Center for Nanosciences and Nanotechnology (RCNN), Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung 41032, Indonesia

8. PT Nanosense Instrument Indonesia, Umbulharjo, Yogyakarta 55167, Indonesia

Abstract

This study reports on the modification of surface plasmon resonance (SPR) chips with molybdenum disulfide–molybdenum trioxide (MoS2–MoO3) microflowers to detect the tuberculosis (TB) markers of CFP-10.

Funder

Asahi Glass Foundation

Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Biomedical Engineering,General Chemistry,General Medicine

Reference74 articles.

1. WHO , Tuberculosis deaths rise for the first time in more than a decade due to the COVID-19 pandemic , World Health Organization, 2021

2. WHO, The END TB Strategy, 2015

3. WHO , Tuberculosis control , WHO Regional Office for South-East Asia , 2014

4. WHO , Global tuberculosis report 2013 , World Health Organization, 2013

5. The Global Burden of Latent Tuberculosis Infection: A Re-estimation Using Mathematical Modelling

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