Various chemical association models have been developed to fit the chemical shift data of mixtures. However, pure chemical models retain the primary disadvantage of multiple adjustable parameters. A simple semi-empirical physical local composition model is presented in this Letter. The 50 sets of data for 14 systems were correlated, indicating that the new model can well correlate the H-1 NMR chemical shift data of binary mixtures with only one parameter. The distinguishing feature of this model is that the built-in temperature dependence of parameter makes it able to predict the temperature variation on NMR chemical shift data. (C) 2003 Elsevier Science B.V. All rights reserved.