The effect of insect excretions/secretions and decomposition fluid on DNA quantity and quality in human bloodstains.

The larval excretions/secretions (ES) of blowflies contain proteolytic enzymes and bacteria that assist with tissue breakdown. Decomposition fluid (DF) contains organic and inorganic waste products from cell death. This study investigated if human DNA recovery from blood was impacted by exposure to ES and DF over time.

The detection of blood, semen and saliva through fabrics: A pilot study.

This study aimed to identify if biological material could be detected on the opposite side to deposition on fabric by commonly used presumptive and/or secondary tests. Additionally, this study aimed to ascertain if there is a difference in the DNA quantity and quality from samples obtained from both sides of the same substrate: cotton, polyester, denim, or combined viscose and polyester swatches. Blood, semen, or saliva (25 μL) was deposited on one side of 5 replicates of each fabric type and left for 24 h.

The impact of infrared radiation, solar radiation, and burial exposure on the efficacy of forensic immunoassay testing for blood, semen, and saliva.

Determining the biological source of a stain can be important information for both investigators and the judiciary in criminal cases. Immunochromatographic assays are commonly used in forensic science for the identification of human biological material. It has previously been demonstrated that various environmental, thermal and chemical insults can affect the efficacy of ABAcard® HemaTrace® in the detection of human blood.

Assessing eDNA capture method from aquatic environment to optimise recovery of human mt-eDNA.

Previous studies have shown that environmental DNA (eDNA) from human sources can be recovered from natural bodies of water, and the generation of DNA profiles from such environmental samples may assist in forensic investigations. However, fundamental knowledge gaps exist around the factors influencing the probability of detecting human eDNA and the design of optimal sampling protocols. One of these is understanding the particle sizes eDNA signals are most strongly associated with and the most appropriate filter size needed for efficiently capturing eDNA particles.