Static SIMS (SSIMS) is a surface analytical technique capable of providing molecular chemical information from solids.A major barrier to the wider take-up of the technique is the complexity associated with the interpretation of SSIMS spectra. Quality of the interpretation depends on the expertise of analysts and making references to the limited mass spectral libraries. For many materials, there are no SSIMS library spectra. A new library-independent method, G-SIMS, is capable of facilitating the interpretation of SSIMS data. G-SIMS spectra contain parent fragments, which are formed without substantial degradation or rearrangements, and highlight molecular fragments, which are directly related to the surface. In our study, G-SIMS has been tested on medically relevant biodegradable polyester series, including poly (glycolic acid) (PGA), poly-l-(lactic acid) (PLA), poly-β-(hydroxybutyrate) (PHB) and poly-ε-(caprolactone) (PCL). The polyester series chosen here have closely related structures, which allow us to explore the capabilities of G-SIMS. The G-SIMS spectra have facilitated the identification of different polyesters by exhibiting mainly characteristic ions, representative of the polymers' molecular structures. The results also indicated that for the chosen polyester series, the larger the repeating monomer structures, the smaller the maximum number of repeat units were seen in the G-SIMS spectra. The G-SIMS spectra for the homologous polyester series have provided an insight into the fragmentation mechanisms as a function of repeating monomer molecular weights and structures.