Quantitative determination of sunset yellow concentration in soft drinks via digital image processing

被引:0
作者
Seyed Ali Reza Hosseininia
Mohammad Hassan Kamani
Sapna Rani
机构
[1] Mashhad University of Medical Sciences (MUMS),Food Quality Control Laboratory, Department of Food Chemistry, Food and Drug Vice Presidency
[2] Islamic Azad University,Young Researchers and Elite Club, Sabzevar Branch
[3] GITAM University,Department of Biotechnology
[4] ICAR-National Dairy Research Institute,Division of Dairy Microbiology
来源
Journal of Food Measurement and Characterization | 2017年 / 11卷
关键词
Sunset yellow; Image processing technique; Colorimetric parameters; Predictive model;
D O I
暂无
中图分类号
学科分类号
摘要
Image processing technique (IPT) can be used to evaluate the quality of food and drink products. Therefore, this study was focused on the relationship between colorimetric parameters of IPT and different concentrations of sunset yellow in Miranda soft drink. The amount of the sunset yellow color in Miranda soft drink were assessed using HPLC and a specific doses of 0, 25, 60, 90, 120 and 150 mg kg−1 sunset yellow were maintained for this study. The image processing results showed that with increasing the concentration of sunset yellow, all colorimetric values were changed except for b* values. Regression analysis between colorimetric parameters and sunset yellow showed a significant multivariate linear relationship (P < 0.05) with a high coefficient of determination (R2adjusted = 98.7). The results showed that the predictive equation could be used to estimate the concentration of sunset yellow color in Miranda soft drink. The result of the present study showed that digital image processing technique approach can be a successful tool for the prediction of sunset yellow concentration in drink products. Therefore, IPT could be a potential prediction tool for determining the quantity of synthetic colorant in the food and drink products.
引用
收藏
页码:1065 / 1070
页数:5
相关论文
共 31 条
  • [21] Determination of sunset yellow and tartrazine in drinks using screen-printed carbon electrodes modified with reduced graphene oxide and NiBTC frameworks
    Wu, Jen-Han
    Lee, Hui-Ling
    MICROCHEMICAL JOURNAL, 2020, 158
  • [22] Development of a new nanosensor for the determination of food coloring Sunset Yellow in powder drinks using L-cysteine coated copper nanoclusters
    Bilkay, Mehmetcan
    Karatas, Busra
    Kara, Hayriye Eda Satana
    TURKISH JOURNAL OF CHEMISTRY, 2024, 48 (02) : 218 - 228
  • [23] Construction of novel electrochemical sensors based on bimetallic nanoparticle functionalized graphene for determination of sunset yellow in soft drink
    Li, Lanqing
    Zheng, Huijun
    Guo, Lili
    Qu, Lingbo
    Yu, Lanlan
    JOURNAL OF ELECTROANALYTICAL CHEMISTRY, 2019, 833 : 393 - 400
  • [24] Adsorptive Stripping Voltammetric Determination of Tartrazine and Sunset Yellow in Gelatins and Soft Drink Powder in the presence of Cetylpyridinium Bromide
    Gomez, Marisol
    Arancibia, Veronica
    Rojas, Carlos
    Nagles, Edgar
    INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2012, 7 (08): : 7493 - 7502
  • [25] A powerful electrochemical sensor based on Fe3O4nanoparticles-multiwalled carbon nanotubes hybrid for the effective monitoring of sunset yellow in soft drinks
    Shaikshavali, P.
    Reddy, T. Madhusudana
    Narayana, A. Lakshmi
    Hussain, O. M.
    Venkataprasad, G.
    Gopal, T. Venu
    JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION, 2020, 14 (06) : 3319 - 3332
  • [26] Surface oxygen plasma modification of screen-printed carbon electrode for quantitative determination of sunset yellow and tartrazine in foods
    Huang, Yi-Ming
    Lai, Peng-Nian
    Hsu, Chuan-Liang
    EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2022, 248 (03) : 881 - 892
  • [27] Surface oxygen plasma modification of screen-printed carbon electrode for quantitative determination of sunset yellow and tartrazine in foods
    Yi-Ming Huang
    Peng-Nian Lai
    Chuan-Liang Hsu
    European Food Research and Technology, 2022, 248 : 881 - 892
  • [28] A powerful electrochemical sensor based on Fe3O4 nanoparticles-multiwalled carbon nanotubes hybrid for the effective monitoring of sunset yellow in soft drinks
    P. Shaikshavali
    T. Madhusudana Reddy
    A. Lakshmi Narayana
    O. M. Hussain
    G. Venkataprasad
    T. Venu Gopal
    Journal of Food Measurement and Characterization, 2020, 14 : 3319 - 3332
  • [29] Separation and pre-concentration of Sunset Yellow in beverages and effervescent vitamin C tablets by a new flotation technique prior to spectrophotometric determination
    Soleymani, Bahram
    Zargar, Behrooz
    Rastegarzadeh, Saadat
    FOOD ADDITIVES AND CONTAMINANTS PART A-CHEMISTRY ANALYSIS CONTROL EXPOSURE & RISK ASSESSMENT, 2019, 36 (11): : 1605 - 1615
  • [30] Determination of sunset yellow (E110) in foodstuffs and pharmaceuticals after separation and preconcentration via solid-phase extraction method
    Bisgin, Abdullah Taner
    Narin, Ibrahim
    Ucan, Mustafa
    INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY, 2015, 50 (04) : 919 - 925