Abstract Triatominae are recognized as vectors of Trypanosoma cruzi, a protozoan which is the etiological agent of Chagas disease. A specimen of Triatoma delpontei was found at Porto Murtinho in Mato Grosso do Sul State, Brazil. This is the first report of the occurrence of T. delpontei to the state of Mato Grosso do Sul, Brazil. With the present finding, the total number of triatomines recorded in Mato do Grosso do Sul reaches 17 species, while T. delpontei, previously recorded only from Rio Grande do Sul, is now recorded to a second Brazilian state. Based on the information available in the literature, a meticulous and organized compilation has been crafted, highlighting the cytogenetics differentiations of the species occurring in this state. This work emphasizes the importance of continuous research and surveillance on Triatominae, recognized as vectors of T. cruzi. cruzi disease State Brazil T finding 1 literature crafted

EXEMPLIFYING THE USE OF MACRO ELEMENTAL MAPPING BY XRF (MA-XRF) SCANNING IN FORENSIC INVESTIGATION OF ARTWORKS. This work exemplifies the potential of employing macro elemental mapping by XRF (MA XRF) scanning in the forensic investigation of artworks. The results of the investigation of two artworks of different styles and periods are presented and discussed. The images provided by MA-XRF scanning have information about the elemental distribution, which is related to pigments used in the artwork. These images bring different information such as: if there are underlying paintings; if a given pigment was used for the purpose of restoration or in the creation. Therefore, through the images, it is possible to obtain information, which refers to the process of creating the artwork and the history of conservation and restoration. Through the results, it was possible to verify that the two artworks are probably false because they present anachronistic pigments with the supposed period of creation. The analyzes were performed using a portable MA-XRF scanning system, and in addition to presenting the utility of the instrument in these investigations, the work also presents possibilities to explore the MA-XRF data through multivariate statistical analysis and image correlation.