The use of the random walk model for simulating peak shapes in flow in
jection analysis (FIA) is investigated. Studies are limited to the cas
e of dispersion in straight tubes with laminar flow (no reaction), but
more precise peak shape data than has previously been available is pr
ovided. Peak shapes obtained with the random walk model are compared w
ith experimental results and predictions made by other theoretical app
roaches. Comparisons utilize a wide variety of conditions, including t
hose treated by other authors. Favourable agreement is obtained in all
cases, although some differences with experimental results are observ
ed. The computational aspects of the random walk algorithm are conside
red and guidelines for its implementation are provided. The versatilit
y of the algorithm is demonstrated through the presentation of simulat
ion results for modified laminar flow profiles, asymmetric flow profil
es, and conditions of infinite radial diffusion.