This paper presents the design of a low-power ternary content-addressable memory (TCAM) based on the proposed double-feedback match-line sense amplifier (DF-MLSA). DF-MLSA achieves power savings by reducing match-line voltage swing and search-line switching activity in a TCAM and employs the double positive-feedback network to boost the search speed of the TCAM. We have employed Hspice to evaluate various match-line sensing circuits using the Berkeley Predictive Technology Model (PTM) for 65 nm transistor model with supply voltage of 1.1 V and temperature of 25 °C. The simulation results show that the proposed DF-MLSA can achieve a search time of 0.49699 ns and an energy consumption of 0.201474 fJ/bit/search. The measured results show that the proposed DF-MLSA can reduce the energy consumption by 85.481%, 21.195%, and 10.545% compared to the conventional precharge MLSA, the stability-based MLSA, and the positive-feedback MLSA, respectively.