Dear Sir. Concerning your issue about the Proteonomic that helps in Forensic research . A bottom up in situ proteomic method has been developed enabling the mapping of multiple blood signatures on the intact ridges of blood fingermarks by Matrix Assisted Laser Desorption Mass Spectrometry Imaging (MALDI-MSI). This method, at a proof of concept stage, builds upon recently published work demonstrating the opportunity to profile and identify multiple blood signatures in bloodstains via a bottom up proteomic approach. The present protocol addresses the limitation of the previously developed profiling method with respect to destructivity; destructivity should be avoided for evidence such as blood fingermarks, where the ridge detail must be preserved in order to provide the associative link between the biometric information and the events of bloodshed. Using a blood mark reference model, trypsin concentration and spraying conditions have been optimised within the technical constraints of the depositor eventually employed; the application of MALDI-MSI and Ion Mobility MS have enabled the detection, confirmation and visualisation of blood signatures directly onto the ridge pattern. These results are to be considered a first insight into a method eventually informing investigations (and judicial debates) of violent crimes in which the reliable and non-destructive detection and mapping of blood in fingermarks is paramount to reconstruct the events of bloodshed. In forensic investigations on crime scenes, the identification of a biological matrix, even if present in mixtures, and the species of origin of a forensic trace without destruction of the DNA is of utmost importance. A new Proteomic–based approach was developed to identify unambiguous protein biomarkers for each individual matrix with the aim to constitute a specific database for matrix characterization. This approach fulfills all the requirements needed by forensic science for the rapid determination of biological matrices. I think the following below links may help you in your analysis: