Development of a Raman chemical imaging detection method for authenticating skim milk powder

  • Jianwei Qin
  • Kuanglin Chao
  • Moon S. Kim
  • Hoyoung Lee
  • Yankun Peng
Original Paper

DOI: 10.1007/s11694-014-9172-9

Cite this article as:
Qin, J., Chao, K., Kim, M.S. et al. Food Measure (2014) 8: 122. doi:10.1007/s11694-014-9172-9

Abstract

This research developed a Raman chemical imaging method for detecting multiple adulterants in skim milk powder. Ammonium sulfate, dicyandiamide, melamine, and urea were mixed into the milk powder as chemical adulterants in the concentration range of 0.1–5.0 %. A Raman imaging system with a 785-nm laser was used to acquire hyperspectral images in the wavenumber range of 102–2,538 cm−1 for a 25 × 25 mm2 area of each mixture. A polynomial curve-fitting method was used to correct for the fluorescence background in the Raman images. An image classification method was developed based on single-band fluorescence-free images at unique Raman peaks of the adulterants. Raman chemical images were created to visualize identification and distribution of the multiple adulterant particles in the milk powder. A linear relationship was found between adulterant pixel number and adulterant concentration, demonstrating the potential of this Raman chemical imaging method for quantitative analysis of adulterants in the milk powder.

Keywords

Raman imaging Food safety Milk Adulterant Image classification 

Copyright information

© Springer Science+Business Media New York (Outside the USA) 2014

Authors and Affiliations

  • Jianwei Qin
    • 1
  • Kuanglin Chao
    • 1
  • Moon S. Kim
    • 1
  • Hoyoung Lee
    • 1
  • Yankun Peng
    • 2
  1. 1.USDA/ARS Environmental Microbial and Food Safety LaboratoryBeltsville Agricultural Research CenterBeltsvilleUSA
  2. 2.College of EngineeringChina Agricultural UniversityBeijingChina

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