公开(公告)号：WO2010146199A2

公开(公告)日：2010-12-23

申请号：PCT/ES2010000267

申请日：2010-06-18

Applicant: UNIV MADRID COMPLUTENSE ,  CACERES JORGE OMAR ,  MARCOS MARTINEZ DANIEL ,  ORTEGA NOGALES FRANCISCO JESUS ,  DEL VALLE AVILA MARCOS

Inventor： CACERES JORGE OMAR ,  MARCOS MARTINEZ DANIEL ,  ORTEGA NOGALES FRANCISCO JESUS ,  DEL VALLE AVILA MARCOS

CPC classification number: G01N21/718 ,  G01J3/28 ,  G01J3/443

Abstract: The invention relates to the instantaneous identification and characterisation of samples with no prior treatment, using the dynamic combination of laser ablation and mathematical algorithms. The method consists in analysing a single laser pulse in order to obtain a spectrum of the sample, which is compared with a dynamic spectral database using a neural network that allows a large amount of data to be handled in a very short space of time with 100% sensitivity and specificity. The identification and characterisation technique is quick and direct and allows the correlation of analytical data with organoleptic properties or quality properties, as well as the determination of contaminating, pathogenic or bioactive compounds and substances present in samples, in all states of the material and without any form of prior preparation.

Abstract translation: 本发明涉及使用激光烧蚀和数学算法的动态组合的无预处理的样品的瞬时鉴定和表征。 该方法包括分析单个激光脉冲以获得样品的光谱，该光谱数据库与使用神经网络的动态光谱数据库进行比较，该神经网络允许在非常短的时间内处理大量数据，其中100 ％灵敏度和特异性。 识别和表征技术是快速和直接的，并且允许分析数据与感官特性或质量属性的相关性，以及在材料的所有状态下确定样品中存在的污染，致病或生物活性化合物和物质，并且不存在任何 事先准备的形式。