Terahertz spectroscopy and imaging for the detection and identification of Illicit drugs

AlNabooda, Maryam O.; Shubair, Raed M.; Rishani, Nadeen; Aldabbagh, Ghadah

doi:10.1109/senset.2017.8125065

Cited by 35 publications

(16 citation statements)

References 17 publications

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“…The IR spectra for all three compounds were very similar and required a detailed analysis of all functional groups, while the THz range allowed for recognizing the compounds (molecular fingerprints) unambiguously. Many scientific publications have been devoted to the use of terahertz techniques for the detection and identification of prohibited drugs [24,25]. Using the Terahertz time spectroscopy (THz-TDS) system with imaging and knowledge of the location of absorption peaks of drugs, it is possible to detect prohibited psychoactive substances [26,27].…”

Section: Introductionmentioning

confidence: 99%

Recognition of Pharmacological Bi-Heterocyclic Compounds by Using Terahertz Time Domain Spectroscopy and Chemometrics

Nowak

Zdunek

Pliński

et al. 2019

Sensors

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In this study, we presented the concept and implementation of a fully functional system for the recognition of bi-heterocyclic compounds. We have conducted research into the application of machine learning methods to correctly recognize compounds based on THz spectra, and we have described the process of selecting optimal parameters for the kernel support vector machine (KSVM) with an additional `unknown’ class. The chemical compounds used in the study contain a target molecule, used in pharmacy to combat inflammatory states formed in living organisms. Ready-made medical products with similar properties are commonly referred to as non-steroidal anti-inflammatory drugs (NSAIDs) once authorised on the pharmaceutical market. It was crucial to clearly determine whether the tested sample is a chemical compound known to researchers or is a completely new structure which should be additionally tested using other spectrometric methods. Our approach allows us to achieve 100% accuracy of the classification of the tested chemical compounds in the time of several milliseconds counted for 30 samples of the test set. It fits perfectly into the concept of rapid recognition of bi-heterocyclic compounds without the need to analyse the percentage composition of compound components, assuming that the sample is classified in a known group. The method allows us to minimize testing costs and significant reduction of the time of analysis.

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Section: Introductionmentioning

confidence: 99%

Recognition of Pharmacological Bi-Heterocyclic Compounds by Using Terahertz Time Domain Spectroscopy and Chemometrics

Nowak

Zdunek

Pliński

et al. 2019

Sensors

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“…Terahertz spectroscopy is a non-destructive method suitable for examining biological [4] and chemical materials [5]. Terahertz Spectroscopy has a unique interpretation based on bio-molecular resonance characteristics within the broad THz range In the past, terahertz spectroscopy technology has been applied for alcohol detection [2] sugar detection [6] antibiotics [7] and drugs [8]. This is due to its capability that enables absorption and penetration of non-conductive materials, provides molecular information, and emits non-ionizing radiation that will do no harm to the sample [9].…”

Section: Introductionmentioning

confidence: 99%

Detection of Low Sugar Concentration Solution Using Frequency Selective Surface (FSS)

Ishak¹,

Seman²,

Zainal³

et al. 2022

Computers, Materials &Amp; Continua

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“…Terahertz (THz) technology is an emerging NDT method, in which the electromagnetic waves in the THz band (0.1-10 THz) are used to achieve a non-contact, safe, and efficient NDT. It has been widely used in fields such as security screening [11][12][13], biomedicine [14][15][16], and aerospace [17,18]. Meanwhile, using the property that THz waves can detect the internal interface structures of polymers, it has also been applied in the detection of power insulation defects [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

A Terahertz Identification Method for Internal Interface Structures of Polymers Based on the Long Short-Term Memory Classification Network

Wang

Mei

et al. 2022

Polymers

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Polymers are used widely in the power system as insulating materials and are essential to the power grid’s security and stability. However, various insulation defects may occur in the polymer., which can lead to severe insulation accidents. Terahertz (THz) detection is a novel non-destructive testing (NDT) method that is able to detect the interface structures inside polymers. The large quantity of information in the THz waveform has potential for the identification of interface types, and the long short-term memory (LSTM) network is one of the most popular artificial intelligence methods for time series data like THz waveform. In this paper, the LSTM classification network was used to identify the internal interfaces of the polymer with the reflected THz pulses of the internal interfaces. The experiment verified that it is feasible to identify and image the void interfaces and impurity interfaces in the polymer using the proposed method.

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Terahertz spectroscopy and imaging for the detection and identification of Illicit drugs

Cited by 35 publications

References 17 publications

Recognition of Pharmacological Bi-Heterocyclic Compounds by Using Terahertz Time Domain Spectroscopy and Chemometrics

Recognition of Pharmacological Bi-Heterocyclic Compounds by Using Terahertz Time Domain Spectroscopy and Chemometrics

Detection of Low Sugar Concentration Solution Using Frequency Selective Surface (FSS)

A Terahertz Identification Method for Internal Interface Structures of Polymers Based on the Long Short-Term Memory Classification Network

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