Related Experiment Video
Updated: Feb 11, 2026

07:09
Preparation and Application of a New Bacterial Biosensor for the Presumptive Detection of Gunshot Residue
Published on: May 9, 2019
8.4K
Evaluation of Total Nitrite Pattern Visualization as an Improved Method for Gunshot Residue Detection and its
Jason Berger1, Colin Upton1, Elyah Springer1
1Police Laboratory, New York City Police Department, 15014 Jamaica Ave, Jamaica, NY, 11432.
Journal of Forensic Sciences
|April 24, 2018
Summary
This study enhances Total Nitrite Pattern Visualization (TNV) for gunshot residue analysis. The improved method rapidly and effectively detects nitrite residues, aiding in gunshot distance determination.
Area of Science:
- Forensic Science
- Analytical Chemistry
Background:
- Nitrite residue visualization is crucial for gunshot distance determination.
- The Modified Griess Test (MGT) is limited by unstable residues and detection of only partially burned gunpowder.
Purpose of the Study:
- To streamline and enhance Total Nitrite Pattern Visualization (TNV) techniques for casework.
- To reduce processing time and improve effectiveness on blood-soiled samples.
Main Methods:
- Modification of existing TNV techniques involving alkaline hydrolysis.
- Streamlining the procedure to decrease analysis time from 1 hour to 5 minutes.
- Testing enhanced TNV effectiveness on blood-soiled samples.
Main Results:
- The modified TNV method significantly improved the detection of nitrite residues.
- The procedure was made more efficient and effective, especially on blood-soiled samples.
- Reduced analysis time from 1 hour to 5 minutes without sacrificing efficiency.
Conclusions:
- The enhanced TNV method offers a significant improvement for detecting nitrite residues in forensic casework.
- This technique aids in the determination of muzzle-to-target distance more effectively and efficiently.
- The streamlined TNV method is valuable for analyzing unburned gunpowder particles and improving residue visualization.
Related Concept Videos
Residual Plots
6.5K
A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
When the residual values are plotted against the variable x, it is called a residual...
When the residual values are plotted against the variable x, it is called a residual...
6.5K
Residual Stresses
666
Residual stresses reside in a structure even after removing the original stress inducer. This phenomenon often arises from varied plastic deformations across different parts of a structure. Consider a rod stretched beyond its yield point. It will not regain its original length due to permanent deformation. Even after load removal, the rod does not entirely lose stress because of uneven plastic deformations, resulting in residual stresses. The computation of these stresses in structures is...
666
Sampling Methods: Sample Types
3.3K
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
3.3K
Convenience Sampling Method
11.7K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
11.7K
Sampling Methods: Overview
3.5K
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling.
In analytical chemistry, the choice of...
In analytical chemistry, the choice of...
3.5K
Systematic Sampling Method
13.4K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
13.4K

