ROC-curve approach for determining the detection limit of a field chemical sensor

Fraga, Carlos G.; Melville, Angela M.; Wright, Bob W.

doi:10.1039/b607843e

Cited by 17 publications

(12 citation statements)

References 20 publications

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“…For example standard solutions of caffeine analysed using LC/AP-IMS have been used for performance evaluation [54], the determination of atrazine concentration in natural water [55] and quantification of morphine in mouse plasma. The analytical value of an IMS device in terms of true positive and false positive probabilities have been evaluated using a receiver operator characteristic (ROC) curve approach for determining the detection limit of an IMS chemical sensor [56].…”

Section: Quantitative Evaluationmentioning

confidence: 99%

Chemical standards for ion mobility spectrometry: a review

Kaur-Atwal

O’Connor

Aksenov

et al. 2009

Int. J. Ion Mobil. Spec.

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Ion mobility spectrometry (IMS), using standalone instrumentation and hyphenated with mass spectrometry (IM-MS), has recently undergone significant expansion in the numbers of users and applications, particularly in sectors outside its established user base; predominantly military and security applications. Although several IMS reference standards have been proposed, there are no currently universally recognised reference standards for the calibration and evaluation of mobility spectrometers. This review describes current practices and the literature on chemical standards for validating IMS systems in positive and negative ion modes. The key qualities and requirements an 'ideal' reference standard must possess are defined, together with the instrumental and environmental factors such as temperature, electric field, humidity and drift gas composition that may need to be considered. Important challenges that have yet to be resolved are also identified and proposals for future development presented.

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Section: Quantitative Evaluationmentioning

confidence: 99%

Chemical standards for ion mobility spectrometry: a review

Kaur-Atwal

O’Connor

Aksenov

et al. 2009

Int. J. Ion Mobil. Spec.

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“…3,8,32 In addition, increased detection sensitivity is usually accompanied by an increase in false positives. [33][34][35][36] All these aspects make the reliable detection of explosives in the field difficult and thus, alternative orthogonal detection methods are needed.…”

Section: Introductionmentioning

confidence: 99%

Silica anchored fluorescent organosilicon polymers for explosives separation and detection

et al. 2012

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“…From the DoD study, Cotte-Rodriguez and his colleagues constructed ROC curves for a portable mass spectrometer system to evaluate the real-time detection of toxic compounds [5]. Fraga et al [22] also developed ROC curves for a portable IMS for vapor sampling of diesel fuels. In this study, the detection limit and performance of the instrument was determined under different defined scenarios.…”

Section: Introductionmentioning

confidence: 99%

Application of Receiver Operating Characteristic (ROC) Curves for Explosives Detection Using Different Sampling and Detection Techniques

Young

Fang

Raeva

et al. 2013

Sensors

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Reported for the first time are receiver operating characteristic (ROC) curves constructed to describe the performance of a sorbent-coated disk, planar solid phase microextraction (PSPME) unit for non-contact sampling of a variety of volatiles. The PSPME is coupled to ion mobility spectrometers (IMSs) for the detection of volatile chemical markers associated with the presence of smokeless powders, model systems of explosives containing diphenylamine (DPA), 2,4-dinitrotoluene (2,4-DNT) and nitroglycerin (NG) as the target analytes. The performance of the PSPME-IMS was compared with the widely accepted solid-phase microextraction (SPME), coupled to a GC-MS. A set of optimized sampling conditions for different volume containers (1–45 L) with various sample amounts of explosives, were studied in replicates (n = 30) to determine the true positive rates (TPR) and false positive detection rates (FPR) for the different scenarios. These studies were obtained in order to construct the ROC curves for two IMS instruments (a bench-top and field-portable system) and a bench top GC-MS system in low and high clutter environments. Both static and dynamic PSPME sampling were studied in which 10–500 mg quantities of smokeless powders were detected within 10 min of static sampling and 1 min of dynamic sampling.

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ROC-curve approach for determining the detection limit of a field chemical sensor

Cited by 17 publications

References 20 publications

Chemical standards for ion mobility spectrometry: a review

Chemical standards for ion mobility spectrometry: a review

Silica anchored fluorescent organosilicon polymers for explosives separation and detection

Application of Receiver Operating Characteristic (ROC) Curves for Explosives Detection Using Different Sampling and Detection Techniques

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