Wool textile identification by terahertz spectroscopy

Molloy, J. F.; Naftaly, Mira

doi:10.1080/00405000.2013.852717

Cited by 12 publications

(3 citation statements)

References 7 publications

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“…Besides, when measuring the transmission of THz wave in carbon fiber and glass fiber, the arrangement direction of fiber in the sample affects the THz spectral characteristics of the fabric, which suggests that the texture structure impacts the spectral absorption characteristics and forms some structure-induced peaks. 29,31 Accordingly, it is speculated that the absorption curves of cloth samples might be a certain factor affected by the higher-order structure of textile weaving. In order to confirm this conjecture, the fiber powder tablets without grid structure were prepared and tested.…”

Section: Resultsmentioning

confidence: 99%

Study on terahertz spectrum variation of inner package with different wrapped objects

Wang

Yan

Liang³

et al. 2023

Journal of Industrial Textiles

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Terahertz (THz) nondestructive testing has emerged as a promising tool for public security check due to its superior detection accuracy and sensitivity for hidden objects under clothing. However, it is unknown if material composition and textile structure of clothing will influence the THz spectrum of the hidden objects. In this paper, the THz time domain spectroscopy (THz-TDS) was used to detect several natural and artificial fabrics containing pure amino acids with characteristic absorption peaks between 0.2 and 1.6 THz. The results show that the absorption peaks of AAs of various cloth materials have different degrees of decrease and redshift. In addition, the absorption peaks of the THz spectrum disappear when the textile structure is destroyed. Moreover, the simulation results also verify that the textile structure has an obvious effect on the THz field distribution. In this sense, it is necessary to analyze the material composition and textile structure when detecting hidden objects under clothing using the THz signal.

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Section: Resultsmentioning

confidence: 99%

Study on terahertz spectrum variation of inner package with different wrapped objects

Wang

Yan

Liang³

et al. 2023

Journal of Industrial Textiles

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“…Rotational and vibrational transitions of a large number of organic molecules have strong absorption and dispersion characteristics in the terahertz range [3].But until the end of the last century, with the development of the ultrashort pulsed laser technology, terahertz science and technology began to develop rapidly. In recent years, terahertz waves have shown a good performance in many fields including substance identification [4][5][6][7][8].Terahertz time-domain spectroscopy (THz-TDS), a new evolved technique based on terahertz waves, can meanwhile measure the amplitude and phase information in the frequency domain. The technique directly detect time-varying electric field intensity in time domain of pulsed terahertz waves, then the optical properties of the tested material in frequency domain can be obtained by Fourier transformation.…”

Section: Introductionmentioning

confidence: 99%

THz Spectroscopy of Food, Industrial and Pharmaceutical Paraffin Wax

Kang

Huang

et al. 2014

AMM

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The absorption coefficient spectra and refractive index spectra of food grade, industrial grade and pharmaceutical grade paraffin wax, the three different types of paraffin wax within the terahertz frequency range from 0.2 to 2.2 THz are measured using transmission-type terahertz time-domain spectroscopy. The average refractive indexes of food grade, industrial grade and pharmaceutical grade paraffin wax in the frequency range are respectively 1.50, 1.49 and1.46. The three different types of paraffin wax all have weak absorption for terahertz waves and each paraffin wax have several obvious absorption peaks. However, all found absorption peak positions of the three different types of paraffin wax are so close that the three are relatively difficult to be identified using transmission-type terahertz technique in present experimental conditions.

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“…For example, Molloy and Naftaly 14 utilized terahertz spectroscopy performed between 0.2 and 3 THz to test various woven and knitted fabrics containing yarns of different animal origins. The received signal that lay within the terahertz spectrum carried information on the wool's animal origin, giving a possibility to distinguish wool type.…”

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confidence: 99%

Optical coherence tomography imaging can identify Merino lambs’ wool using automatic machine learning vision

Sabuncu

Özdemi̇r

2023

Textile Research Journal

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Merino lambs’ wool fiber has a unique chemical structure that gives the wool many unique properties and technical benefits. For example, the small fiber diameters mean that Merino wool is soft, countering the scratchiness commonly associated with wool. It is also biodegradable, organic, and environmentally friendly, making it a popular choice of sustainable fabric material. Unfortunately, some fiber sellers unduly sell coarse wool tops to wool yarn factories as Merino wool tops. It is, therefore, an important task to identify the actual wool type for quality assurance in the textile manufacturing process. This paper describes applying the spectral-domain optical coherence tomography (OCT) imaging and automatic machine learning (AutoML) techniques for distinguishing Merino wool from coarse wool. We present the results of wool measurements that were performed by the OCT scans and AutoML algorithms. We conclude that OCT imaging and AutoML algorithms can be applied to distinguish Merino wool from coarse wool in a simple, non-destructive, and contactless manner.

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Wool textile identification by terahertz spectroscopy

Abstract: A variety of woollen textiles were examined using THz time-domain spectroscopy. Textiles containing wool of different animal origins were shown to have different THz optical properties, which may be employed to identify the type of wool and to combat textile counterfeiting.

Cited by 12 publications

References 7 publications

Study on terahertz spectrum variation of inner package with different wrapped objects

Study on terahertz spectrum variation of inner package with different wrapped objects

THz Spectroscopy of Food, Industrial and Pharmaceutical Paraffin Wax

Optical coherence tomography imaging can identify Merino lambs’ wool using automatic machine learning vision

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