The current-feedback instrumentation amplifier chip is extensively employed in weak signal detection due to its high precision and high common-mode rejection ratio. Conventional CFIA utilizes chopping techniques to reduce 1/f noise and offset voltage, enhancing the amplifier′s precision. However, the resultant ripple significantly limits the accuracy improvement. Addressing this, an innovative adaptive CLK ripple reduction loop CFIA ARCFIA is proposed. It employs a ripple reduction loop RRL to reduce the ripple in conventional chopping amplifiers. In addition, with the aid of an Adaptive CLK ACLK, it reduces the power spectral density of the input-referred noise in chopping switch. Experimental results show that ARCFIA achieves a low offset voltage below 1.4 μV and an input-referred noise of 17.2 nV/Hz, while the ripple is reduced to a level below the ARCFIA′s input-referred noise. This reduction in offset, noise, and ripple leads to improved accuracy. Furthermore, ARCFIA shows potential for application in high-precision measurement systems within complex environments.