Detection of Nutrient Elements and Contamination by Pesticides in Spinach and Rice Samples Using Laser-Induced Breakdown Spectroscopy (LIBS)
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  • 作者:Gibaek Kim ; Jihyun Kwak ; Jeunghwan Choi ; Kihong Park
  • 刊名:Journal of Agricultural and Food Chemistry
  • 出版年:2012
  • 出版时间:January 25, 2012
  • 年:2012
  • 卷:60
  • 期:3
  • 页码:718-724
  • 全文大小:370K
  • 年卷期:v.60,no.3(January 25, 2012)
  • ISSN:1520-5118
文摘
The laser-induced breakdown spectroscopy (LIBS) technique was applied to quantify nutrients (Mg, Ca, Na, and K) in spinach and rice and to discriminate pesticide-contaminated products in a rapid manner. Standard reference materials (spinach leaves and unpolished rice flour) were used to establish a relationship between LIBS intensity and the concentration of each element (Mg, Ca, Na, and K) (i.e., calibration line). The limits of detection (LODs) for Mg, Ca, Na, and K were found to be 29.63, 102.65, 36.36, and 44.46 mg/kg in spinach and 7.54, 1.76, 4.19, and 6.70 mg/kg in unpolished rice, respectively. Concentrations of those nutrient elements present in spinach and unpolished rice from a local market were determined by using the calibration lines and compared with those measured with ICP-OES, showing good agreement. The data also suggested that the LIBS technique with the chemometric method (PLS-DA) could be a great tool to distinguish pesticide-contaminated samples from pesticide-free samples in a rapid manner even though they have similar elemental compositions. Misclassification rates were found to be 0 and 2% for clean spinach and pesticide-contaminated spinach, respectively, by applying the PLS-DA model established from the training set of data to predict the classes of test samples.

Keywords:

laser-induced breakdown spectroscopy (LIBS); nutrient elements; pesticide; agricultural products; internal standardization; partial least squares-discriminant analysis (PLS-DA)

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