Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Oct 4;13:6029-6038.
doi: 10.2147/IJN.S171400. eCollection 2018.

Identification of Mycolic Acid Forms Using Surface-Enhanced Raman Scattering as a Fast Detection Method for Tuberculosis

Affiliations
Free PMC article

Identification of Mycolic Acid Forms Using Surface-Enhanced Raman Scattering as a Fast Detection Method for Tuberculosis

Jayakumar Perumal et al. Int J Nanomedicine. .
Free PMC article

Abstract

Background: Tuberculosis (TB) is the ninth leading cause of death worldwide and the leading cause from a single infectious agent, based on the WHO Global Tuberculosis Report in 2017. TB causes massive health care burdens in many parts of the world, specifically in the resource constrained developing world. Most deaths from TB could be prevented with cost effective early diagnosis and appropriate treatment.

Purpose: Conventional TB detection methods are either too slow as it takes a few weeks for diagnosis or they lack the specificity and accuracy. Thus the objective of this study was to develop a fast and efficient detection for TB using surface enhanced Raman scattering (SERS) technique.

Methods: SERS spectra for different forms of mycolic acids (MAs) that are both synthetic origin and actual extracts from the mycobacteria species were obtained by label-free direct detection mode. Similarly, we collected SERS spectra for γ-irradiated whole bacteria (WB). Measurements were done using silver (Ag) coated silicon nanopillar (Ag SNP) as SERS substrate.

Results: We report the SERS based detection of MA, which is a biomarker for mycobacteria species including Mycobacterium tuberculosis. For the first time, we also establish the SERS spectral characterization of the three major forms of MA - αMA, methoxy-MA, and keto-MA, in bacterial extracts and also in γ-irradiated WB. We validated our findings by mass spectrometry. SERS detection of these three forms of MA could be useful in differentiating pathogenic and nonpathogenic Mycobacterium spp.

Conclusions: We have demonstrated the direct detection of three major forms of MA - αMA, methoxy-MA, and keto-MA, in two different types of MA extracts from MTB bacteria, namely delipidated MA and undelipidated MA and finally in γ-irradiated WB. In the near future, this study could pave the way for a fast and efficient detection method for TB, which is of high clinical significance.

Keywords: Ag SNPs; LC-MS; MA; MTB; Mycobacterium tuberculosis; NTM; SERS; liquid chromatography mass spectrometry; mycolic acid; nontuberculosis mycobacteria; silver-coated silicon nanopillars.

Conflict of interest statement

Disclosure The authors report no conflicts of interest in this work.

Figures

Figure 1
Figure 1
(A) FE-SEM of Ag-SNP SERS substrate. Scale bar 1 µm. (B) Representative SERS spectra of 4-ATP molecule with a prominent peak at 1,078 cm−1. (C) SERS mapping shows the minimum variation in SERS enhancement for 4-ATP on the Ag SNP substrate. Scale bar 50 µm. Abbreviations: ATP, aminothiophenol; FE-SEM, field-emission scanning electron microscopy; SERS, surface-enhanced Raman scattering; SNP, silicon nanopillar.
Figure 2
Figure 2
Average SERS spectra of (A) synthetic pure AMA, KMA, and MMA, and (B) delipidated MA from MTB bacterial extract, undelipidated MA, and γ-irradiated whole bacteria. Abbreviations: AMA, α-mycolic acid; ATP, aminothiophenol; DL, delipidated; KMA, keto-MA; MMA, methoxy-MA; MTB, Mycobacterium tuberculosis; SERS, surface-enhanced Raman scattering; UDL, undelipidated; WB, whole Bacteria.
Figure 3
Figure 3
Liquid chromatography mass-spectrometry-based analysis of mycolic acid extracts. Abbreviation: MTB, Mycobacterium tuberculosis.

Similar articles

See all similar articles

Cited by 1 article

References

    1. Kho KW, Dinish US, Kumar A, Olivo M. Frequency shifts in SERS for biosensing. ACS Nano. 2012;6:4892–4902. doi: 10.1021/nn300352b. - DOI - PubMed
    1. Perumal J, Kong KV, Dinish US, Bakker RM, Olivo M. Design and fabrication of random silver films as substrate for SERS based nano-stress sensing of proteins. RSC Adv. 2014;4:12995. doi: 10.1039/c3ra44867c. - DOI
    1. Liu TT, Lin YH, Hung CS, et al. A high speed detection platform based on surface-enhanced Raman scattering for monitoring antibiotic-induced chemical changes in bacteria cell wall. PLoS One. 2009;4 doi: 10.1371/journal.pone.0005470. - DOI - PMC - PubMed
    1. Jarvis RM, Goodacre R. Characterisation and identification of bacteria using SERS. Chem Soc Rev. 2008;37:931. doi: 10.1039/b705973f. - DOI - PubMed
    1. Rivera-Betancourt OE, Karls R, Grosse-Siestrup B, Helms S, Quinn F, Dluhy RA. Identification of mycobacteria based on spectroscopic analyses of mycolic acid profiles. Analyst. 2013;138:6774. doi: 10.1039/c3an01157g. - DOI - PubMed
Feedback