Gazmeh Meisam, Bahreini Maryam, Tavassoli Seyed Hassan
Appl Opt. 2015 Jan 1;54(1):123-31. doi: 10.1364/AO.54.000123.
In the laser drilling of teeth, a microplasma is generated which may be utilized for elemental analysis of ablated tissue via a laser-induced breakdown spectroscopy (LIBS) technique. In this study, LIBS is used to investigate the possibility of discrimination of healthy and carious tooth tissues. This possibility is examined using multivariate statistical analysis called partial least square discriminant analysis (PLS-DA) based on atomic and ionic emission lines of teeth LIBS spectra belonging to P, Ca, Mg, Zn, K, Sr, C, Na, H, and O elements. Results show an excellent discrimination and prediction of unknown tooth tissues. It is shown that using the PLS-DA method, the spectroscopic analysis of plasma emission during the laser drilling, would be a promising technique for caries detection.
在牙齿的激光钻孔过程中，会产生一种微等离子体，该微等离子体可通过激光诱导击穿光谱（LIBS）技术用于对消融组织进行元素分析。在本研究中，LIBS用于研究区分健康牙齿组织和龋齿组织的可能性。基于牙齿LIBS光谱中属于P、Ca、Mg、Zn、K、Sr、C、Na、H和O元素的原子和离子发射线，使用称为偏最小二乘判别分析（PLS-DA）的多元统计分析来检验这种可能性。结果显示对未知牙齿组织有出色的区分和预测能力。结果表明，使用PLS-DA方法，激光钻孔过程中对等离子体发射进行光谱分析将是一种很有前景的龋齿检测技术。
