Identification and detection of protein markers to differentiate between forensically relevant body fluids.

Abstract:

:The identification of body fluids at a crime scene is an important aspect of forensic casework analysis, being a source for investigative leads and contributing to case evidence. Yet, current methods for the forensic identification of body fluids suffer from several limitations, ranging from poor sensitivity and specificity, to sample destruction and interference with subsequent DNA analysis. Moreover, current identification assays target only one body fluid at the time. Besides being inefficient in terms of time, money and sample consumption, poor identification methods can also negatively influence the outcome of a (court) case. In this study, eleven potential protein biomarkers and antibodies were selected and assessed on their suitability for serving as identification markers, as a first step towards the development of a new multiplex protein-based body fluid identification assay relying on antigen-antibody interactions. Performing antibody-based dot blot assays, the specificity of the biomarkers for their target body fluids was evaluated, and biomarker detection was studied in diluted, mixed, aged and simulated casework samples. Hereby, nine out of eleven markers were identified as promising biomarkers to identify blood, semen, saliva, urine and sweat. With the identification of these targets and detection antibodies, a major step forward has been taken towards the development of a highly sensitive and specific, fast and non-labour-intensive protein-based body fluid identification assay, suitable for on-site analysis and able to test for multiple body fluids in a single reaction.

journal_name

Forensic Sci Int

authors

de Beijer RP,de Graaf C,van Weert A,van Leeuwen TG,Aalders MCG,van Dam A

doi

10.1016/j.forsciint.2018.07.013

subject

Has Abstract

pub_date

2018-09-01 00:00:00

pages

196-206

eissn

0379-0738

issn

1872-6283

pii

S0379-0738(18)30393-1

journal_volume

290

pub_type

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