This study describes an approach for remote measuring of on-site temperature and particleconcentration using magnetic nanoparticles (MNPs) via simulation and also experimentally.The sensor model indicates that under different applied magnetic fields, the magnetizationequation of the MNPs can be discretized to give a higher-order nonlinear equation in twovariables that consequently separates information regarding temperature and particleconcentration. As a result, on-site tissue temperature or nanoparticle concentration can bedetermined using remote detection of the magnetization. In order to address key issues in thehigher-order equation we propose a new solution method of the first-order model from theperspective of the generalized inverse matrix. Simulations for solving the equation, as well asto optimize the solution of higher equations, were carried out. In the final section we describea prototype experiment used to investigate the measurement of the temperature in which weused a superconducting magnetometer and commercial MNPs. The overall error after ninerepeated measurements was found to be less than 0.57 K within 310–350 K, with acorresponding root mean square of less than 0.55 K. A linear relationship was also foundbetween the estimated concentration of MNPs and the sample’s mass.