The results obtained in the present study reveal that the second-order polynomial model was effectively predicted the response variables of the yield for palm kernel oil extraction from palm kernel using Supercritical CO2. The linear term pressure had the highest significant effect on the oil yield, followed by the temperature and extraction time. The optimum extraction parameters were predicted to be: pressure 44.6 MPa, temperature 60 °C and extraction time 50 min. Under these conditions, the oil yield was 49.2%. Determination of the nutrient composition in deoiled PKCsc and PKCM showed that the Supercritical CO2 maintain the nutrients compositions from the possible degradation. The essential and non-essential amino acid contents were higher in deoiled PKCsc than PKCM. Heavy metals such as Pb, Sn, Cd, Hg and Sb were absence in both deoiled PKCsc than PKCM. Wherein traces amount (0.9 mg/kg) of As was detected in the PKCM. Determination of the anti-nutrient content in deoiled PKCsc also revealed that Supercritical CO2 greatly reduced the anti-nutrient compositions in deoiled PKCsc. Thus, Supercritical CO2 is an effective technology to produce superior quality palm kernel cake, which has the potentiality to be used as protein and fiber source in human food and animal feed consumption.