Anti-serum (anti-md3 serum) was generated toward a 17-amino acid synthetic peptide based upon predicted antigenic amino acid sequences for the propeptide and mature enzyme of cathepsin D proteinase from larvae of M. domestica. The serum was used to test the hypothesis that digestive artifacts produced by an array of necrophagous flies associated with human decomposition could be detected with the immunoassay. Anti-md3 serum was able to bind artifacts from 27 species of flies representing 9 families. The antiserum reacted with both regurgitate and defecatory stains, but not transfer patterns. Stains from 4 fly species displayed no reactivity with anti-serum in dot blot assays. Anti-md3 serum did not bind to either human or bovine blood stains on filter paper; however, when both types of blood were spiked with synthetic md3 peptide, the antiserum was able to bind. Dot blot assays displayed positive reactions with stains produced from larvae and teneral adults of Sarcophaga bullata, and with artifacts as old as 7-years after deposition. These observations indicate that the immunoassay permits distinction of artifacts from a wide range of species from human bloodstains, from multiple development stages, and from artifacts that remain at crime scenes for many months to years after deposition. Further work is needed to determine whether the detection of fly artifacts using the antiserum is suitable for non-laboratory conditions. (publisher abstract modified)
Immunoassay Detection of Fly Artifacts Produced by Several Species of Necrophagous Flies Following Feeding on Human Blood
NCJ Number
252789
Journal
Forensic Science International: Synergy Volume: 1 Dated: 2019 Pages: 1-10
Date Published
2019
Length
10 pages
Annotation
Since there is currently no reliable method for detecting fly-derived stains or distinguishing the artifacts from human bloodstains, the current study developed a confirmatory test based on immunological detection of cathepsin D found in digestive fluids of Musca domestica and Protophormia terraenovae.
Abstract
Date Published: January 1, 2019