Since the discovery of Escherichia coli during the 17th century, scientists have made substantial efforts to investigate the trends in the advanced combination probability of the Escherichia coli culture. This paper puts forward a combination method for models, via Escherichia coli. Here this paper develops a Markov-chain model for its population in different generational time periods and predicts the chance for duplication and loss from their stationary phase. Understanding the Duplication rate of Escherichia coli is crucial for various fields, including microbiology, medicine, and biotechnology. Our hypothesis believes that there is a correlation between the generational time intervals and the probability of Escherichia coli l duplication. This research contributes to our understanding of its Duplication dynamics and provides valuable information for various applications including the development of antimicrobial strategies, optimization of Escherichia coli l growth in biotechnological process, and the study of its evolution.