Abstract: A novel approach to ensure the stability of multiple indicative constituents in Traditional Chinese Medicine(TCM) was put forward, which firstly assays the content of multiple indicative constituents in diffe-rent batches of raw herbs, and then utilizes the linear and nonlinear optimization theories and methods to get an appropriate proportions for each herb, and finally blends each batch of herbs with this proportion so as to get rid of the fluctuation of the content in different batches of raw herbs. The key of the approach was credited to the optimization problem presented, which consists of 7 objective functions and several agile constrains. To demonstrate the approach's feasibility and validity, a series of experiments were carried out, in which 10 batches of different Radix isatidis were used as raw materials, and the goal was set to ensure the stability of 5 HPLC peak-areas in chromatograms, and the result shows that the maximum relative error of the peak-areas was 6.3%, compared with five standard peak-areas.

Key words: Traditional Chinese Medicine herbs, Optimization blending method, Multiple indicative consti-tuents, Quality control, Radix isatidis