Guicheteau J, Argue L, Emge D, Hyre A, Jacobson M, Christesen S
U.S. Army Edgewood Chemical Biological Center, Aberdeen Proving Ground, Maryland 21010-5424, USA.
Appl Spectrosc. 2008 Mar;62(3):267-72. doi: 10.1366/000370208783759623.
Surface-enhanced Raman spectroscopy (SERS) can provide rapid fingerprinting of biomaterial in a nondestructive manner. The adsorption of colloidal silver to biological material suppresses native biofluorescence while providing electromagnetic surface enhancement of the normal Raman signal. This work validates the applicability of qualitative SER spectroscopy for analysis of bacterial species by utilizing principal component analysis (PCA) to show discrimination of biological threat simulants, based upon multivariate statistical confidence limits bounding known data clusters. Gram-positive Bacillus spores (Bacillus atrophaeus, Bacillus anthracis, and Bacillus thuringiensis) are investigated along with the Gram-negative bacterium Pantoea agglomerans.
表面增强拉曼光谱（SERS）能够以非破坏性方式对生物材料进行快速指纹识别。胶体银吸附到生物材料上可抑制天然生物荧光，同时为正常拉曼信号提供电磁表面增强。本研究通过利用主成分分析（PCA）来验证定性SERS光谱在细菌种类分析中的适用性，基于界定已知数据簇的多变量统计置信限来显示对生物威胁模拟物的区分。对革兰氏阳性芽孢杆菌（萎缩芽孢杆菌、炭疽芽孢杆菌和苏云金芽孢杆菌）以及革兰氏阴性细菌成团泛菌进行了研究。
