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===Colorimetrics & automated colorimetrics===
The use of colorimetric test kits for explosive detection is one of the most established, simplest, and most widely used methods for the detection of explosives. Colorimetric detection of explosives involves applying a chemical reagent to an unknown material or sample and observing a color reaction. Common color reactions are known and indicate to the user if there is an explosive material present and in many cases the group of
===Dogs===
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{{main|Explosives trace detector}}
{{see also|Machine olfaction}}
Several types of machines have been developed to detect trace signatures for various explosive materials. The most common technology for this application, as seen in US airports, is [[ion mobility spectrometry]] (IMS). This method is similar to [[mass spectrometry]] (MS), where molecules are ionized and then moved in an electric field in a vacuum, except that IMS operates at atmospheric pressure. The time that it takes for an ion, in IMS, to move a specified distance in an electric field is indicative of that ion's size-to-charge ratio: ions with a larger cross
[[Gas chromatography]] (GC) is often coupled to the detection methods discussed above in order to separate molecules before detection. This not only improves the performance of the detector but also adds another dimension of data, as the time it takes for a molecule to pass through the GC may be used as an indicator of its identity. Unfortunately, GC normally requires
===Spectrometry===
Technologies based on [[ion mobility spectrometer]] (IMS) include [[ion trap mobility spectrometry]] (ITMS), and [[differential mobility spectrometry]] (DMS). [[Amplifying fluorescent polymers]] (AFP) use
One technique compares reflected [[ultraviolet]], [[infrared]] and [[visible light]] measurements on multiple areas of the suspect material. This has an advantage over olfactory methods in that a sample does not need to be prepared. A patent exists for a portable explosive detector using this method.<ref>{{Cite web |last=Mullins |first=Justin |date=2008-05-28 |title=Portable explosives detector |url=https://www.newscientist.com/blog/invention/2008/05/portable-explosives-detector.html |archive-url=https://web.archive.org/web/20080911045557/https://www.newscientist.com/blog/invention/2008/05/portable-explosives-detector.html |archive-date=11 September 2008 |website=[[New Scientist]] Blogs}}</ref>
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Specially designed [[X-ray machine]]s can detect explosives by looking at the density of the items being examined. They use [[computed axial tomography]] based systems that are enhanced with dedicated software, containing an explosives threat library and false-color coding, to assist operators with their dedicated threat resolution protocols.{{Citation needed|date=July 2008}} X-ray detection is also used to detect related components such as [[detonator]]s, but this can be foiled if such devices are hidden inside other electronic equipment.<ref>{{cite magazine |url= https://www.newscientist.com/channel/tech/weapons/dn9715|title=Analysis: Explosive detection technologies| first =Will | last = Knight|date=10 August 2006 |magazine=[[New Scientist]] news service |archive-url=https://web.archive.org/web/20220920215223/https://www.newscientist.com/article/dn9715-analysis-explosive-detection-technologies/ |archive-date=20 September 2022}}</ref>
Recently, [[machine learning]] algorithms have been developed that can automatically detect
===Neutron activation===
Specially designed machines bombard the suspect explosives with neutrons and read the resulting [[gamma radiation]] decay signatures to determine the chemical composition of the sample. The earliest developed forms of [[Neutron Activation Analysis]] use low
===Silicon nanowires for trace detection of explosives===
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==Bogus detection devices==
The [[United States Department of Justice|US Department of Justice]] warned in a [[National Institute of Justice]] publication, "Guide for the Selection of Commercial Explosives Detection Systems for Law Enforcement Applications (NIJ Guide 100-99)," about the ongoing trend of "bogus" explosives detection equipment being sold to unsuspecting consumers. The report mentions by name the [[Quadro Tracker]], an apparent [[dowsing rod]] with a freely pivoting radio antenna rod with no functioning internal components. On August 8–9, 2005 the [[Naval Explosive Ordance Disposal Technical Division]] via the United States Counter
{{Quote | …There is a rather large community of people around the world that believes in [[dowsing]]: the ancient practice of using forked sticks, swinging rods, and pendulums to look for underground water and other materials. These people believe that many types of materials can be located using a variety of dowsing methods. Dowsers claim that the dowsing device will respond to any buried anomalies, and years of practice are needed to use the device with discrimination (the ability to cause the device to respond to only those materials being sought). Modern dowsers have been developing various new methods to add discrimination to their devices. These new methods include molecular frequency discrimination (MFD) and harmonic induction discrimination (HID). MFD has taken the form of everything from placing a xerox copy of a Polaroid photograph of the desired material into the handle of the device, to using dowsing rods in conjunction with frequency generation electronics (function generators). '''None of these attempts to create devices that can detect specific materials such as explosives (or any materials for that matter) have been proven successful in controlled double-blind scientific tests.''' In fact, all testing of these inventions has shown these devices to perform no better than random chance…<ref>{{cite web |author=[[Office of Justice Programs|US Department of Justice Office of Justice Programs]] |url= http://www.ojp.usdoj.gov/nij/pubs-sum/178913.htm |title= Guide for the Selection of Commercial Explosives Detection Systems for Law Enforcement Applications: NIJ Guide 100-99 |date= September 1999 |archive-url=https://web.archive.org/web/20220320180553/https://www.ojp.gov/pdffiles1/nij/178913.pdf |archive-date=20 March 2022}}</ref>}}
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