Journal of Innovative Optical Health Sciences, Volume. 11, Issue 2, 1750019(2018)

Identification of syrup type using fourier transform-near infrared spectroscopy with multivariate classification methods

Ravipat Lapcharoensuk* and Natrapee Nakawajana
Author Affiliations
  • Department of Agricultural Engineering, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand
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    References(14)

    [1] [1] E. Mellado-Mojica, N. P. Seeram, M. G. López, “Comparative analysis of maple syrups and natural sweeteners: Carbohydrates composition and classi-fication (differentiation) by HPAEC-PAD and FTIR spectroscopy-chemometrics,” J. Food Compos. Anal. 52, 1–8 (2016).

    [2] [2] J. G. Stuckel, N. H. Low, “Maple syrup authenticity analysis by anion-exchange liquid chromatography with pulsed amperometric detection,” J. Agric. Food Chem. 43, 3046–3051 (1995).

    [3] [3] J. G. Stuckel, N. H. Low, “The chemical composition of 80 pure maple syrup samples produced in North America,” Food Res. Int. J. 29, 313–319 (1996).

    [4] [4] T. D. Perkins, A. K. Van den Berg, “Maple syrup — Production, composition, chemistry, and sensory characteristics,” Adv. Food Nutn Res. 56, 101–143 (2009).

    [5] [5] L. Luqing, W. Lingdong, N. Jingming, Z. Zhengzhu, “Detection and quantification of sugar and glucose syrup in roasted green tea using near infrared spectroscopy,” J. Near Infrared Spectrosc. 23, 317–325 (2015).

    [6] [6] J. D. Kelly, C. Petisco, G. Downey, “Potential of near infrared transflectance spectroscopy to detect adulteration of Irish honey by beet invert syrup and high fructose corn syrup,” J. Near Infrared Spectrosc. 14, 139–146 (2006).

    [7] [7] S. Li, X. Zhang, Y. Shan, D. Su, Q. Ma, R. Wen, J. Li, “Qualitative and quantitative detection of honey adulterated with high-fructose corn syrup and maltose syrup by using near-infrared,” Food Chem. 218, 231–236 (2017).

    [8] [8] P. Veleva-Doneva, T. Draganova, S. Atanassova, R. Tsenkova, “Detection of bacterial contamination in milk using NIR spectroscopy and two classification methods — SIMCA and neuro-fuzzy classifier,” 3rd IFAC Processing, Vol. 43, pp. 225–229 (2010).

    [9] [9] S. Serranti, D. Cesare, F. Marini, G. Bonifazi, “Classification of oat and groat kernels using NIR hyperspectral imaging,” Talanta 103, 276–284 (2013).

    [10] [10] B. Jamshidi, E. Mohajerani, J. Jamshidi, “Developing a Vis/NIR spectroscopic system for fast and non-destructive pesticide residue monitoring in agricultural product,” Measurement 89, 1–6 (2016).

    [11] [11] A. López-Maestresalas, A. C. Keresztes, M. Goodarzi, S. Arazuri, C. Jar-en, W. Saeys, “Nondestructive detection of blackspot in potatoes by Vis-NIR and SWIR hyperspectral imaging,” Food Control 70, 229–241 (2016).

    [12] [12] B. G. Osborne, T. Fearn, Near Infrared Spectroscopy in Food Analysis, 227pp., Longman Science & Technical, UK (1986).

    [13] [13] E. Mellado-Mojica, M. G. López, “Identification, classification, and discrimination of agave syrups from natural sweeteners by infrared spectroscopy and HPAEC-PAD,” Food Chem. 167, 349–357 (2015).

    [14] [14] C. Alamprese, E. Casiraghi, “Application of FT-NIR and FT-IR spectroscopy to fish fillet authentication,” LWT — Food Sci. Technol. 63(1), 720–725 (2015).

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    Ravipat Lapcharoensuk, Natrapee Nakawajana. Identification of syrup type using fourier transform-near infrared spectroscopy with multivariate classification methods[J]. Journal of Innovative Optical Health Sciences, 2018, 11(2): 1750019

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    Paper Information

    Received: Mar. 2, 2017

    Accepted: Jun. 20, 2017

    Published Online: Sep. 18, 2018

    The Author Email: Ravipat Lapcharoensuk (ravipat.la@kmitl.ac.th)

    DOI:10.1142/s1793545817500195

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