Species identification of ancient leather objects by the use of the enzyme-linked immunosorbent assay

Yi, Lunzhao; Yi, Li; Chang, Runxing; Zheng, Hailing; Zhou, Yang; Li, Menglu; Hu, Zhiwen; Wang, Bing

doi:10.1039/c6ay01816e

Cited by 15 publications

(4 citation statements)

References 49 publications

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“…The same researchers used this method recently to verify crocodilian leather (Kumazawa et al, 2019). Even DNA analysis was applied to identify animal leather for fraud detection and ancient leather investigation within historical studies (Maxime et al, 2015;Schr€ oder et al, 2016;Liu et al, 2016). The chemical decomposition of artificial leather was recently analysed using various other optical spectroscopic techniques (Gao et al, 2021).…”

Section: Identifying Leather Type and Authenticitymentioning

confidence: 99%

Identifying leather type and authenticity by optical coherence tomography

Sabuncu,

Özdemir

2023

IJCST

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PurposeThis study aims to identify leather type and authenticity through optical coherence tomography.Design/methodology/approachOptical coherence tomography images taken from genuine and faux leather samples were used to create an image dataset, and automated machine learning algorithms were also used to distinguish leather types.FindingsThe optical coherence tomography scan results in a different image based on leather type. This information was used to determine the leather type correctly by optical coherence tomography and automatic machine learning algorithms. Please note that this system also recognized whether the leather was genuine or synthetic. Hence, this demonstrates that optical coherence tomography and automatic machine learning can be used to distinguish leather type and determine whether it is genuine.Originality/valueFor the first time to the best of the authors' knowledge, spectral-domain optical coherence tomography and automated machine learning algorithms were applied to identify leather authenticity in a noncontact and non-invasive manner. Since this model runs online, it can readily be employed in automated quality monitoring systems in the leather industry. With recent technological progress, optical coherence tomography combined with automated machine learning algorithms will be used more frequently in automatic authentication and identification systems.

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Section: Identifying Leather Type and Authenticitymentioning

confidence: 99%

Identifying leather type and authenticity by optical coherence tomography

Sabuncu,

Özdemir

2023

IJCST

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“…Tannery has been an essential industry since ancient times (Liu et al, 2016). Chemically modifying animal skin results in more robust and more flexible materials, which can prevent further damage (Miao et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Surface analysis and spectral values of leather can be examined for identification purposes using Fourier Transform Infrared Spectroscopy (FTIR) and Scanning Electron Microscopy (SEM) techniques (Carsote et al, 2021;Mirghani et al, 2012). The identification of vegetable tanning agents on ancient book covers made of leather can be carried out using FTIR (Liu et al, 2016;Puică et al, 2006;Sebestyén et al, 2022). Liquid Chromatography/Mass Spectrometry (LC/MS) methods are also being developed to identify amino acids in various types of leather (Gao et al, 2021;Izuchi et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Unveiling the Signature of Halal Leather: A Comparative Study of Surface Morphology, Functional Groups and Thermal Characteristics

Syabani,

Iswahyuni,

Warmiati

et al. 2023

Indonesian Journal of Halal Research

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The halal certification of products holds significant importance for Muslim consumers, necessitating the development of reliable techniques for identifying leather products made from raw materials. This study employed rapid and accurate analytical methods to distinguish between cowhide, pigskin, and artificial leather. A combination of scanning electron microscope (SEM), Fourier transform infrared spectroscopy (FTIR), and differential scanning calorimetry (DSC) was used to assess the variations in collagen fiber structures and thermal stability among the leather samples. The findings revealed that morphological surface analysis, including grain patterns and pores, facilitated swift differentiation between different leather types. Pigskins exhibit three-hole patterns on their morphological surface compared to cowhide, with random pores and tighter grain patterns, whereas artificial leather lacks natural grain patterns and pores altogether. While FTIR spectra exhibited similarities between cowhide and pigskin leathers, variations in vibration intensity enabled effective discrimination. Artificial leather, particularly PVC-based materials, displayed distinct spectra, allowing FTIR spectroscopy to effectively discern between halal and non-halal leather. Cowhide possesses strong and sharp vibration at wavenumber 1736, 1277, and 817 cm-1 compared to pigskin, which has stronger vibration at 1534 cm-1. Meanwhile, PVC-based artificial leather exhibited stretching at 1723 and 744 cm-1 wavenumbers. DSC analysis proved valuable in differentiating between genuine and artificial leather based on unique peaks and thermal behavior. These three techniques provide reliable means to determine the raw material origins of leather products.

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“…In our previous research, several tailored specific antibodies were designed for the immunodetection of ancient silks [ 28 , 29 ], leathers [ 30 ], and proteinaceous binders [ 31 ]. Moreover, gold-based and lanthanide-labelled immunochromatographic strip assays were developed for the on-site identification of ancient silks [ 32 , 33 ].…”

Section: Introductionmentioning

confidence: 99%

Development of an Enzyme-Linked Immunosorbent Assay and Gold-Labelled Immunochromatographic Strip Assay for the Detection of Ancient Wool

Wang

Chen

et al. 2018

Journal of Analytical Methods in Chemistry

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The identification of ancient wool is of great importance in archaeology. Despite lots of meaningful information can be achieved by conventional detection methods, that is, light and electron microscopy, spectroscopy, and chromatography, the efficacy is likely to be limited in the detection of ancient samples with contamination or severe degradation. In this work, an immunoassay was proposed and performed for the identification of ancient wool. First, a specific antibody, which has the benefits of low cost, easy operation, and extensive applicability, was developed directly through immunizing rabbits with complete antigen (keratin). Then, an enzyme-linked immunosorbent assay (ELISA) and a colloidal gold-labelled immunochromatographic strip (ICS) were developed to qualitatively identify the corresponding protein in ancient wool samples unearthed from Kazakhstan and China. The anti-keratin antibody exhibited high sensitivity and specificity for the identification of modern and ancient wool. The limit of detection (LOD) of the ELISA method was 10 ng/mL, and no cross-reactions with other interfering antigens have been noted. It is concluded that the immunoassays are reliable methods for the identification of ancient wool.

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Species identification of ancient leather objects by the use of the enzyme-linked immunosorbent assay

Abstract: A novel immunological method for the species identification of ancient leather.

Cited by 15 publications

References 49 publications

Identifying leather type and authenticity by optical coherence tomography

Identifying leather type and authenticity by optical coherence tomography

Unveiling the Signature of Halal Leather: A Comparative Study of Surface Morphology, Functional Groups and Thermal Characteristics

Development of an Enzyme-Linked Immunosorbent Assay and Gold-Labelled Immunochromatographic Strip Assay for the Detection of Ancient Wool

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