The 10th Asia-Oceania Mass Spectrometry Conference (AOMSC2025) - organized by the Mass Spectrometry Society of Japan

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Poster Presentations

Day 3, June 24(Tue.) 

Room P (Maesato East, Foyer, Ocean Wing)

Metal-Organic Frameworks as Novel Platforms for Capturing and Identifying Tuberculosis Proteins Using MALDI-TOF Mass Spectrometry

(1Dept. of Physics, NDHU, 2Dept. of Laboratory Medicine and Biotechnology, TCU, 3Dept. of Internal Medicine, HTC Hospital and BTCM Foundation, TCU, 4Dept. of Material Science, NDHU)
oVaishnavi Dhisale1, Mhikee Descanzo1, Avinash Patil1, Sanath Kumar4, Yu-Tze Horng2, Chih-Bin Lin3, Po-Chi Soo2, Yen-Pei Fu4, Wen-Ping Peng1

Metal-organic framework (MOF) nanoparticles have gained significant attention in mass spectrometry due to their high porosity, stability, large surface area, and tunable structures. These properties make them suitable for detecting low-mass proteins, including peptides and glycans. While MOFs have shown potential in matrix-assisted laser desorption/ionization (MALDI) MS, further studies are needed to establish their effectiveness and reliability for complex biological samples. Tuberculosis (TB) remains a major global health concern, necessitating early detection. The Mycobacterium tuberculosis complex secretes key biomarkers as CFP-10 and ESAT-6, which are crucial for TB diagnosis. MALDI time-of-flight (MALDI-TOF) has proven to be effective in identifying disease biomarkers. This study presents a simple and reproducible method for synthesizing MIL-101(Cr) MOF nanoparticles and evaluates their application in detecting TB proteins via MALDI-TOF MS. The MS data confirm CFP-10, its truncated fragment (CFP-10-D7-F100), ESAT-6, and its variant (ESAT-6*), along with their doubly charged peaks below 6000 m/z. Peaks at ~10100 and 10660 correspond to CFP-10, while those at 7931, 7974, 9750, and 9796 correspond to ESAT-6. Selective protein enrichment occurs via electrostatic interactions and functional group binding. Overall, MALDI-TOF MS combined with MIL-101(Cr) nanoparticles offers an approach that enhances TB biomarker detection and more efficient and reliable diagnostic strategies.