LAUSR

Microchip electrophoresis (ME) is an ion detection system with low cost and portability, which is suitable for online analysis of environmental samples. However, the unresolved peaks in the detection signal of complex samples seriously affect the measurement accuracy of sample concentration. In this article, an efficient unresolved peaks analysis algorithm is proposed, which is based on the sigmoidal membership function, Lévy flight, and slime mould algorithm (SLSMA). First, the hyperbolic tangent function in the original slime mould algorithm (SMA) is replaced by the sigmoidal membership function to enhance the global optimization capability. Second, we use the Lévy flight sequences to further enhance the convergence speed of the SMA algorithm. Then, the performance of SLSMA is tested using synthetic peaks with different resolutions and noise levels. Finally, ME peaks are used to further validate the application of the proposed algorithm. The results show that the proposed algorithm has higher computational efficiency and can be used for the analysis of ME peaks.