In Sparavigna 2023, we considered three of the Surface-Enhanced Raman spectra of metabolites (L-Cysteine, Cysteamine and Homocysteine), among the 63 spectra provided by . The aim was to investigate the line shapes of SERS peaks by means of the q-Gaussian functions. These functions are considered by the author (AC Sparavigna) fundamental for any deconvolution of Raman spectra, as shown by several cases (see for instance, . In November 2023, we proposed the fingerprints of some of the Sherman et al.'s SERS spectra, to show the relevance of gaining information from them. The fingerprints had been derived from spectra according to a method based on the first derivative behavior, that is on the "first derivative spectrum" (Mosier- . To determine the position of the peaks, details of the method are given in Here we propose the fingerprints of the Sherman and coworkers' 63 SERS spectra of metabolites, all obtained by means of q-Gaussian deconvolutions. The used software is Fityk.