Gum Arabic authentication and mixture quantification by near infrared spectroscopy

Dong, Yongjiang; Sørensen, Klavs Martin; He, Sailing; Engelsen, Søren Balling

doi:10.1016/j.foodcont.2017.02.002

Cited by 23 publications

(16 citation statements)

References 37 publications

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“…In the FTIR spectrum of gum Arabic (Fig. 5) the intensive absorption bands at 3300 and 1008 cm -1 are the characteristic stretching vibrations of the O-H bond [14]. The band at 2923 cm -1 is due to the characteristic vibrations of C-H.…”

Section: Atr-ftir Analysismentioning

confidence: 99%

Investigation of the chemical composition of red pigments and binding media

Čiuladienė¹,

Luckutė²,

Kiuberis³

et al. 2018

chemija

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This study presents the results of investigation of red pigments and binding media used in ancient manuscripts for rubrication and illumination. The commercial compounds were analysed with the aim to create a short data library which could be used for the characterization of different model compositions of red pigments and dyes. Finally, these analytical data will be used for the identification of specimens obtained from ancient manuscripts. The red pigments and binding media were characterized using Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM/EDX), X-ray diffraction (XRD) analysis and thermal (TG/DSC) analysis techniques.

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Section: Atr-ftir Analysismentioning

confidence: 99%

Investigation of the chemical composition of red pigments and binding media

Čiuladienė¹,

Luckutė²,

Kiuberis³

et al. 2018

chemija

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“…Glucuronic acids have a specific vibra tions band at about 1410 and 1360 cm -1 due to C=O symmetric stretching and OH bending, respective ly. A distinct band at around 1030 cm -1 represents alkene C-H band from polysaccharides for all gum samples [24,25].…”

Section: Ftir Spectroscopymentioning

confidence: 98%

From model to artefact: Versatile characterization of cinnabar, red lead and realgar red paints for rubrics and miniatures

Čiuladienė¹,

Kareiva²,

Raudonis³

2020

chemija

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This study focuses on the characterization of cinnabar, red lead and realgar paints, since the red colour was very often used for the illuminations and rubrics of medieval manuscript. The commercial pigments (cinnabar (HgS), red lead (Pb3O4), realgar (As4S4)) and binding media (gum Arabic, fish and parchment glue) were used for the preparation of analogous to historical paints. This work is on-going and at this stage, the resulting red paint samples were analysed to create a short data library that could be used to describe the various red paints and their compositions. The obtained paints were characterized before and after accelerated aging using Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM/EDX), X-ray diffraction (XRD) and thermal (TG/DSC) analysis techniques. These results of versatile characterization are useful to develop red paint guidelines for the storage and how they affect current and future conservation of these objects.

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“…Previous studies have shown that the third and second frequency doublings of the O-H stretching vibration occur at 910 nm and 980 nm and that the third and second frequency doublings of the C-H stretching vibration occur at 910 nm and 1100 nm, respectively. [18] The characteristic absorption peaks shown in Figure 1 may have originated from O-H and C-H stretching vibrations in the samples.…”

Section: Nir Spectra Of Potato-wheat Blended Powdersmentioning

confidence: 99%

“…[24] SG smoothing is a weighted average method involving the polynomial least square fitting of acquired data, and it is commonly used for the smoothing preprocessing of spectra. [18] Following SG smoothing, the derivation can amplify the characteristic spectrum band and effectively eliminate the interference of other background noise to improve the resolution. MSC mainly eliminates the effect of light scattering due to the non-uniformity in the size and density of sample particles, and it is widely used for analyzing NIR spectra of solid particle samples.…”

Section: Calibration Model Establishmentmentioning

confidence: 99%

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Development of a predictive model to determine potato flour content in potato-wheat blended powders using near-infrared spectroscopy

Huang

Fen

et al. 2018

International Journal of Food Properties

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Potato is a good source of dietary energy and several micronutrients, and the development of staple foods using potato-wheat blended powder has received much attention recently in China. A rapid and accurate method for determining the potato flour content in potato staple foods would be valuable to market regulation efforts. We developed a predictive model for the potato flour content in potato-wheat blended powders based on near-infrared spectroscopy (NIRS) analysis. The correction of the near-infrared optical path was carried out to eliminate optical path differences using multiplicative scatter correction (MSC) and smoothing of the spectra using the Savitzky-Golay smoothing first-orderderivative (S-G-1 st D).The prediction model was developed based on partial least squares (PLS) combined with cross-validation(CV) within the full spectrum(850-1100 nm). The results showed that the optimal main factors of potato flour content in potatowheat blended powder were 9, and the coefficient of determination of calibration (R 2 c) and standard error of cross-validation (SECV) of the prediction model reached 0.9997 and 0.51, respectively, indicating a good correlation. The repeatability standard deviation (SDr) and repeatability coefficient of variation of cross-validation (CVr) in validated samples were 0.246 and 0.967, respectively, which indicated that the prediction model had good repeatability. The bias-corrected standard error of prediction (SEP) and correlation coefficient of validation (R 2 P) were 0.69 and 0.9995, respectively, demonstrating good accuracy and stability. The results of this study demonstrated that this prediction model based on NIRS could determine the potato flour content in potato-wheat blended powders accurately and quickly.

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Gum Arabic authentication and mixture quantification by near infrared spectroscopy

Cited by 23 publications

References 37 publications

Investigation of the chemical composition of red pigments and binding media

Investigation of the chemical composition of red pigments and binding media

From model to artefact: Versatile characterization of cinnabar, red lead and realgar red paints for rubrics and miniatures

Development of a predictive model to determine potato flour content in potato-wheat blended powders using near-infrared spectroscopy

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