The existing technology for detecting chemical species is based on spectral decomposition of light from a multispecies sample. This approach is limited because of line overlapping from different species and is getting increasingly unreliable when the number of species is large. We propose a holographic species analyzer, which decomposes an input in terms of a prespecified set of species. The innovation is to replace a diffraction grating with a holographic memory element designed to recognize the whole light patterns of different species and generate in an output plane a position sensitive map of species present. The holographic element can be optically or computer generated. The proposed technology is shown using computer models to be both highly wavelength and position sensitive.
New methods are needed to analyze and monitor multicomponent unknown environments or media (an object), for example, air toxic mixtures or protein mixtures. The existing methods are basically a single-pass measurement and do not provide enough information. We propose an optical exploration approach, a multistep feedback controlled architecture that includes multiple measurements with systematic modification of an object to get additional data. We discuss various optical techniques to modify and probe the object. The data obtained from the multiple measurements allow the object properties (say, individual concentrations) to be evaluated. Experimental data on air toxic mixtures are presented.