journal article·2026-02-06Open access

MIL-101(Cr) MOF Nanoparticles and MALDI-TOF Mass Spectrometry for the Detection of Mycobacterium tuberculosis Biomarkers

Vaishnavi B. Dhisale, Mhikee Janella N. Descanzo, Che-Wei Lee, Sanath Kumar, Kamlesh B. Deore, Avinash A. Patil, Yu-Tze Horng, Chih-Bin Lin, Po-Chi Soo, Chia-Liang Cheng, Yen-Pei Fu, Mahendra D. Shirsat, Wen-Ping Peng

ACS Applied Nano Materials· Volume 9· Issue 5

Abstract

High Resolution Image Download MS PowerPoint Slide This study presents Materials Institute Lavoisier (MIL)-101(Cr) metal–organic framework (MOF) nanoparticles used for the detection of 6-kDa early secreted antigenic target (ESAT-6) and 10-kDa culture filtrate protein (CFP-10) biomarkers from the Mycobacterium tuberculosis complex (MTBC). The presence of CFP-10 and its fragment D7-F100 CFP-10, ESAT-6, and its variant ESAT-6*, along with their doubly charged peaks below 6 kDa, were detected using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) with MIL-101(Cr) MOF nanoparticles. The mass peaks (mass-to-charge ratio, m / z ) observed at approximately 10100 and 10660 correspond to CFP-10, while those at 7931, 7974, 9750, and 9796 correspond to ESAT-6. The adsorption of tuberculosis (TB) biomarkers by MIL-101(Cr) nanoparticles was primarily driven by electrostatic interaction, hydrogen bonding, and functional group binding, enabling selective protein enrichment. Their high surface area and pore volume provide accessible adsorption sites for TB-specific proteins. The sensitivity and specificity of MTBC samples reached 94.3 and 100%, respectively, and no TB biomarkers were detected in nontuberculous Mycobacteria (NTM) samples, indicating that these biomarkers effectively distinguish MTBC from NTM. This study featured a qualitative analysis MOF-based MALDI-TOF MS platform, which developed a robust and scalable alternative to the diamond nanoparticle platform. Overall, MALDI-TOF MS combined with MIL-101(Cr) nanoparticles offers a promising approach for improving TB biomarker detection, leading to more efficient and reliable strategies for TB detection.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Mass Spectrometry Techniques and Applications · Tuberculosis Research and Epidemiology · Metal-Organic Frameworks: Synthesis and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Physics

National Dong Hwa University

Department of Material Science and Engineering

RUSA Center for Advanced Sensor Technology, Department of Physics

Dr. Babasaheb Ambedkar Marathwada University

Department of Laboratory Medicine and Biotechnology

Tzu Chi University

Department of Internal Medicine

Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, and Tzu Chi University

Funding

National Dong Hwa University · National Science and Technology Council · Ministry of Education of Taiwan

References (70)

Show source-provided references
1. 10.1016/j.microc.2023.10895610.1016/j.microc.2023.108956 ↗
2. 10.1016/j.ccr.2020.21331910.1016/j.ccr.2020.213319 ↗
3. 10.1002/adma.20170518910.1002/adma.201705189 ↗
4. 10.1016/j.mtnano.2018.09.00310.1016/j.mtnano.2018.09.003 ↗
5. 10.1016/j.joule.2018.09.01910.1016/j.joule.2018.09.019 ↗
6. 10.1016/j.isci.2024.11021110.1016/j.isci.2024.110211 ↗
7. 10.1016/j.nxnano.2023.10002710.1016/j.nxnano.2023.100027 ↗
8. 10.1016/j.ccr.2017.08.01510.1016/j.ccr.2017.08.015 ↗
9. 10.1016/j.ccr.2024.21610210.1016/j.ccr.2024.216102 ↗
10. 10.2174/092986732666619061815251810.2174/0929867326666190618152518 ↗
11. 10.1021/acsami.1c0108910.1021/acsami.1c01089 ↗
12. 10.1002/cplu.20120018610.1002/cplu.201200186 ↗
13. 10.1016/j.bios.2019.11145110.1016/j.bios.2019.111451 ↗
14. 10.1007/s00604-020-04595-y10.1007/s00604-020-04595-y ↗
15. 10.1039/D2AY01369J10.1039/D2AY01369J ↗
16. 10.1016/j.aca.2018.04.06910.1016/j.aca.2018.04.069 ↗
17. 10.1016/j.jddst.2022.10375810.1016/j.jddst.2022.103758 ↗
18. 10.2174/092986732866621060814370310.2174/0929867328666210608143703 ↗
19. 10.1021/acs.iecr.4c0369810.1021/acs.iecr.4c03698 ↗
20. 10.1039/D1TA06238G10.1039/D1TA06238G ↗
21. 10.1016/j.ccr.2024.21604010.1016/j.ccr.2024.216040 ↗
22. 10.1021/acsami.6b0622510.1021/acsami.6b06225 ↗
23. 10.1039/c3cc40934a10.1039/c3cc40934a ↗
24. 10.1016/j.trac.2022.11662710.1016/j.trac.2022.116627 ↗
25. 10.1002/pmic.20170000510.1002/pmic.201700005 ↗
26. 10.1080/1040841X.2021.195012010.1080/1040841X.2021.1950120 ↗
27. 10.1016/j.aca.2015.07.02910.1016/j.aca.2015.07.029 ↗
28. 10.1007/s00216-019-01876-110.1007/s00216-019-01876-1 ↗
29. 10.1002/adhm.20240154710.1002/adhm.202401547 ↗
30. World Health Organization · 2023
31. 10.1016/j.ijtb.2025.06.01410.1016/j.ijtb.2025.06.014 ↗
32. 10.1111/cei.1297210.1111/cei.12972 ↗
33. 10.1016/j.bjid.2019.07.00110.1016/j.bjid.2019.07.001 ↗
34. 10.3389/fmmed.2024.134551010.3389/fmmed.2024.1345510 ↗
35. 10.1016/j.tube.2015.05.00810.1016/j.tube.2015.05.008 ↗
36. 10.1039/D4AY00314D10.1039/D4AY00314D ↗
37. Chihota V. · Int. J. Tuberc. Lung Dis. · 2010 · 14 · 1024
38. 10.3389/fcimb.2025.165559510.3389/fcimb.2025.1655595 ↗
39. 10.15406/jbmoa.2018.06.0018510.15406/jbmoa.2018.06.00185 ↗
40. Genc G. E. · New Microbiol · 2018 · 41 · 214
41. 10.1039/c1ce06274c10.1039/c1ce06274c ↗
42. 10.1021/ac301767z10.1021/ac301767z ↗
43. 10.1016/j.aca.2018.05.05610.1016/j.aca.2018.05.056 ↗
44. 10.1039/C5DT02625C10.1039/C5DT02625C ↗
45. 10.1149/1945-7111/acc9df10.1149/1945-7111/acc9df ↗
46. 10.1021/cm504623r10.1021/cm504623r ↗
47. 10.1021/cm304055k10.1021/cm304055k ↗
48. 10.1021/acsomega.8b0230910.1021/acsomega.8b02309 ↗
49. 10.1016/j.ica.2017.12.02410.1016/j.ica.2017.12.024 ↗
50. 10.1021/acs.jpcc.1c0335110.1021/acs.jpcc.1c03351 ↗
51. 10.1016/j.applthermaleng.2017.04.01810.1016/j.applthermaleng.2017.04.018 ↗
52. 10.1016/j.applthermaleng.2015.03.04010.1016/j.applthermaleng.2015.03.040 ↗
53. 10.1039/C5GC00862J10.1039/C5GC00862J ↗
54. 10.1007/s10934-019-00761-710.1007/s10934-019-00761-7 ↗
55. 10.1021/acs.jpcc.1c0175710.1021/acs.jpcc.1c01757 ↗
56. 10.1016/j.seppur.2022.12078410.1016/j.seppur.2022.120784 ↗
57. 10.1021/acs.cgd.8b0134010.1021/acs.cgd.8b01340 ↗
58. 10.1021/acs.iecr.6b0453810.1021/acs.iecr.6b04538 ↗
59. 10.1002/vjch.20210004910.1002/vjch.202100049 ↗
60. 10.1021/acsomega.3c0600410.1021/acsomega.3c06004 ↗
61. 10.3389/fchem.2019.0077710.3389/fchem.2019.00777 ↗
62. 10.1039/C6CE00198J10.1039/C6CE00198J ↗
63. 10.1021/acsami.7b0104010.1021/acsami.7b01040 ↗
64. 10.7554/eLife.9193010.7554/eLife.91930 ↗
65. 10.1007/s12195-021-00686-910.1007/s12195-021-00686-9 ↗
66. 10.1039/D4TB02465F10.1039/D4TB02465F ↗
67. 10.1021/acssensors.1c0139410.1021/acssensors.1c01394 ↗
68. 10.1021/acsnano.4c1228010.1021/acsnano.4c12280 ↗
69. 10.1016/j.nantod.2024.10248810.1016/j.nantod.2024.102488 ↗
70. 10.14440/jbm.2023.39410.14440/jbm.2023.394 ↗