Having different strategies to immobilize peptides by their alpha carboxylic or amine terminals would also contribute to creating a multi-dimensional space of surface potential and capacitance with the temperature and acidity parameters where each peptide would have a complex signature measured by FETs. The correlation of δΨo 2 /δpH 2 and capacitance can help in the extraction of the AA fingerprints and the number of surface states even in presence of silanol sites. The derived methodology of using the analytical model in a combination of FFT solved iteratively with parametric variations can smoothen the noisy signal with the possibility of the data loss less than a million times smaller than other standardized noise filtering techniques.