This paper describes the development of spectrum computation and analysis for a single model and untunable laser spectroscopy to detect the species concentration and space distribution in pre-combustion gases. Absorption spectroscopy using infrared laser diode provides a dynamic, non-instructive, and in situ way to determine the concentration and distribution of the mixture of fuel gas and O<sub>2</sub> in the pre-combustion gas stream. For species, wavelength suitable for absorption spectroscopy is determined using the spectra distributions of the species provided in HITRAN database. Inverse method and Abel algorithm are employed separately to retrieve the concentration of species and calculate the distribution of the measured gas. The results of the paper provide the foundation to develop a dynamic diagnostic instrument to monitor the state of gaseous species in hostile environments such as various industrial combustion systems.