Qualitative and quantitative analysis of peanut adulteration in almond powder samples using multi-elemental fingerprinting combined with multivariate data analysis methods
作者: Mahnaz EstekiYvan Vander HeydenBahman FarajmandYadollah Kolahderazi
作者单位: 1Department of Chemistry, University of Zanjan, Zanjan, 45195-313, Iran
2Department of Analytical Chemistry and Pharmaceutical Technology (FABI), Center for Pharmaceutical Research (CePhaR), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090, Brussels, Belgium
刊名: Food Control, 2017, Vol.82 , pp.31-41
来源数据库: Elsevier Journal
DOI: 10.1016/j.foodcont.2017.06.014
关键词: AdulterationAlmondPeanutMulti-elemental fingerprintingPCA-LDALS-SVM
原始语种摘要: Abstract(#br)In this study, adulteration of almond powder samples with peanut was analyzed using multi-elemental fingerprinting based on inductively coupled plasma optical emission measurements (ICP-OES) combined with chemometric methods. The ability of multivariate data analysis approaches, such as principal component analysis (PCA) and principal component analysis-linear discriminant analysis (PCA-LDA), to achieve differentiation of samples and as partial least squares (PLS) and least squares support vector machine (LS-SVM), to quantify the adulteration based on the elemental contents has been investigated. Ten variables i.e. the contents of B, Na, Mg, K, Ca, Fe, Cu, Cu, Zn and Sr at μg g −1 level, determined by ICP-OES were used. Different almond and peanut samples were then mixed at...
全文获取路径: Elsevier  (合作)
影响因子:2.738 (2012)

  • 指纹 扁桃
  • adulteration 掺杂
  • powder 粉末
  • elemental 元素的
  • peanut 落花生
  • analysis 分析
  • quantitative 量的
  • multi 多种
  • combined 组合
  • almond 扁桃
  • fingerprinting 扁桃