Sample interview questions: Can you discuss the concept of laser-induced breakdown detection and its impact on forensic analysis?
Sample answer:
Laser-induced breakdown detection (LIBD) is a powerful technique used in forensic analysis for the identification and analysis of various materials. It involves the use of high-energy laser pulses to produce plasma or a localized micro-explosion on the surface of a sample. This plasma emits characteristic light, known as laser-induced breakdown spectroscopy (LIBS) emission, which can be analyzed to determine the elemental composition of the material under investigation.
One key advantage of LIBD in forensic analysis is its ability to provide rapid and non-destructive analysis of a wide range of materials. Traditional forensic analysis methods often require the extraction of samples, which can be time-consuming and may damage or destroy the evidence. LIBD, on the other hand, allows for in situ analysis without the need for sample preparation, minimizing the risk of evidence contamination and preserving the integrity of the material.
In terms of its impact on forensic analysis, LIBD has found applications in various areas. Firstly, it is commonly used in the analysis of trace evidence such as gunshot residue, paint chips, fibers, and glass fragments. By analyzing the elemental composition of these materials, LIBD can help link them to potential sources, establish associations between different pieces of evidence, and provide crucial information for crime scene reconstruction.
Furthermore, LIBD has proven to be valuable in the analysis of questioned documents, including ink analysis and paper differentiation. By examining the elemental composition of inks, LIBD can determine if different inks originate from the same source or if alterations have been made to a document. Similarly, LIBD can identify unique elemental signatures within paper samples, aiding in the identification of counterfeit documents or establishing links between documents.
LIBD has also been applied in the an… Read full answer