公开(公告)号：US20140368819A1

公开(公告)日：2014-12-18

申请号：US14303313

申请日：2014-06-12

Applicant: Applied Research Associates, Inc.

Inventor： Rosalie A. Multari ,  David A. Cremers

IPC: G01N33/49 ,  G01N21/25 ,  G01N21/01 ,  A61B5/00

CPC classification number: A61B5/4845 ,  G01N21/718 ,  G01N2201/1293

Abstract: The present invention relates to methods of detecting parasites, viruses, bacteria and drugs in human and animal blood and cerebral spinal fluid (CSF), using laser-induced breakdown spectroscopy (LIBS). The method includes developing and using algorithmic detection models for detecting compounds, bacteria, viruses and parasites in blood or CSF. The models are developed from a sample of blood or fluid, knowingly having one or more of the compounds or bacteria, viruses, or parasites. Spectra are generated by a LIBS instrument from the sample, and are grouped into either classification spectra or verification spectra. Algorithmic models are developed from the classification spectra; these models are verified with the verification spectra. A second sample of different blood or CSF may then be assessed using the algorithmic models. Spectra generated from this second sample are applied to the models to determine the presence or absence of compounds or bacteria, viruses and parasites of interest.

Abstract translation: 本发明涉及使用激光诱导击穿光谱法（LIBS）检测人和动物血液和脑脊髓液（CSF）中的寄生虫，病毒，细菌和药物的方法。 该方法包括开发和使用算法检测模型，用于检测血液或CSF中的化合物，细菌，病毒和寄生虫。 这些模型是从血液或液体样品中开发的，明知具有一种或多种化合物或细菌，病毒或寄生虫。 光谱由来自样品的LIBS仪器产生，并被分组为分类光谱或验证光谱。 从分类光谱开发算法模型; 这些模型使用验证光谱进行验证。 然后可以使用算法模型评估不同血液或CSF的第二个样本。 将该第二样品产生的光谱应用于模型以确定化合物或细菌，病毒和感兴趣的寄生虫的存在或不存在。