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Wavelength-dependent label-free identification of isolated nontuberculous mycobacteria using surface-enhanced Raman spectroscopy
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy ( IF 4.4 ) Pub Date : 2020-11-13 , DOI: 10.1016/j.saa.2020.119186
Soogeun Kim , Young Jin Kim , Ayoung Bang , Wansun Kim , Samjin Choi , Hee Joo Lee

We investigated the effect of Raman excitation wavelengths on the surface-enhanced Raman spectroscopy (SERS)-based identification of isolated nontuberculous mycobacteria (NTM). The SERS spectra with 3 commonly used excitation wavelengths, 532, 638, and 785 nm, were compared across 6 representative NTM species that primarily cause human NTM infections in Korea and the United States; these species were identified. The statistical differences among NTM SERS spectra at each Raman excitation wavelength were verified using 1-way analysis of variance, and the 6 NTM species were identified using principal components-linear discriminant analysis with leave-one-out cross validation. The identification accuracies with aromatic amino acid biomarkers were 99.3%, 91.3%, and 90.7% for 532, 638, and 785 nm, respectively. We believe that the proposed SERS protocol with aromatic amino acid biomarkers at the 532-nm Raman excitation wavelength will enable fast and accurate identification of NTM compared to previous identification methods.



中文翻译:

使用表面增强拉曼光谱的分离非结核分枝杆菌的波长依赖性无标记鉴定

我们调查了基于表面增强拉曼光谱(SERS)的分离的非结核分枝杆菌(NTM)的拉曼激发波长的影响。比较了在韩国和美国主要引起人类NTM感染的6种代表性NTM物种中具有3种常用激发波长532、638和785 nm的SERS光谱;确定了这些物种。使用方差单向分析验证了每个拉曼激发波长下NTM SERS光谱之间的统计差异,并使用主成分-线性判别分析和留一法交叉验证对6种NTM物种进行了鉴定。芳香族氨基酸生物标记物对532、638和785 nm的识别准确度分别为99.3%,91.3%和90.7%。

更新日期:2020-11-13
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