Colorimetric Detection of Mycobacterium tuberculosis ESX‑1 Substrate Protein in Clinical Samples Using Au@Pd Nanoparticle-Based Magnetic Enzyme-Linked Immunosorbent Assay
The development of sensitive and point-of-care diagnostic tools for the serological profile of numerous Mycobacterium tuberculosis (MTB) rectifies the existing flaws in tuberculosis diagnosis. Herein, an ultrasensitive antigen-based tuberculosis detection technique and a bacterial growth monitoring...
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Veröffentlicht in: | ACS applied nano materials 2021-01, Vol.4 (1), p.539-549 |
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Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The development of sensitive and point-of-care diagnostic tools for the serological profile of numerous Mycobacterium tuberculosis (MTB) rectifies the existing flaws in tuberculosis diagnosis. Herein, an ultrasensitive antigen-based tuberculosis detection technique and a bacterial growth monitoring strategy were designed using two nanozyme probe-based colorimetric enzyme-linked immunosorbent assay (ELISA). An anticulture filtrate protein-10 (CFP-10) factionalized magnetic nanobead (MNB) probe segregated the CFP-10 antigens from clinical samples, whereas the Au core and Pd shell (Au@Pd) nanozyme detection probe catalytically oxidized the commercially available chromogenic substrate 3,3′,5,5′-tetramethylbenzidine (TMB) to yield a concentration-dependent color tonality as a signal indicator. The developed MNB–Au@Pd NZ sandwich ELISA monitors an early bacterial growth using CFP-10 antigens secreted from MTB into the liquid culture, where the limit of detection reached as low as 5.6 × 10–12 g mL–1 with a linear tonal range between 5.0 × 10–13 and 5.0 × 10–4 g mL–1. Furthermore, active tuberculosis was discriminated from clinically isolated samples of human serum (40 samples) and urine (28 samples), with an accuracy of 92% (sensitivity: 93%; specificity: 91%) and 92% (sensitivity: 92%; specificity: 95%), respectively. This NZ-based colorimetric ELISA presents a robust and sensitive analytical technique for antigen-based clinical diagnosis, with potential applications in the clinical field, as well as for other epidemic diseases. |
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ISSN: | 2574-0970 2574-0970 |
DOI: | 10.1021/acsanm.0c02833 |