Our objective is to develop a simple monitoring technique for rapid, sensitive and quantitative drugs detection in body fluids, with no reagent added and no need for qualified professionals. The user-friendly automatic Fluo-imager will (a) measure the full-range 3D fluorescence map of the inserted fluid sample, (b) determine the chemical nature and concentration of the drugs and (c) transfer the results through internet to the diagnosis center. For these goals the fluorescence measurement data will be examined by neuronal network-pattern recognition software. The software identifies the chemical nature and the appropriate concentration of the drug by comparison of the obtained 3D pattern with the contents of the data bank. One of the problems in the approach under consideration is the high optical density of body fluids in the UV region, which raises difficulties in the fluorescence measurements. In this paper, we have attempted to overcome this problem by means of preliminary dilution. Nevertheless, the problem of subtraction of the fluid fluorescence background still needs to be addressed.

Optical photoluminescence spectroscopic method for detection of impurities, hazardous materials, pesticides, and pollutants in water resources, both qualitatively and quantitatively, is presented. The method is based on synchronous fluorescence spectroscopy (SFS) of organic aromatic compounds, or poly-aromatic hydrocarbons (PAH), and is carried out by following simultaneously their excitation and emission spectra. The full excitation emission matrix (EEM) generated in this way provides a 2-D and 3-D fluorescence map of the tested sample and the diagonals through the axes origin provide the synchronous fluorescence spectra at a constant wavelengths differences between the emission and excitation wavelengths, thus enabling multitude components identification. This map contains all the relevant spectroscopic information of the tested sample, and serves as a unique "fingerprint" with a very specific and accurate identification. When compared with pre-determined spectra and calibration curves from a "databank", there is a one-toone correspondence between the image and the specific compound, and it can be identified accurately both qualitatively and quantitatively. This method offers several significant advantages, and it provides a sensitive (ppm detection level), accurate and simple spectroscopic tool to monitor impurities and pollutants in water. The design and performance of the spectrofluorimeter prototype, as well as the software development and analysis of chemical organic compounds and mixtures in water will be discussed in this paper.