Discrimination and classification of beet and cane sugars and their inverts in maple syrup by FT-Raman

M. M. Paradkar, Josephi Irudayaraj, S. Sakhamuri

Research output: Contribution to journalArticlepeer-review

Abstract

Maple syrup is a soft target of adulterators due to its simplicity in chemical composition. Fourier Transform (FT) Raman spectroscopy was used to detect adulterants such as cane and beet invert syrups as well as cane and beet sugar presence in maple syrup. FT-Raman spectrum of adulterated samples was characterized and the regions 400 to 1500 and 2800 to 3000 cm-1 were used for quantitative and discriminant analysis. Partial least square (PLS) and principal component regression (PCR) analysis were used for quantitative analysis (R2 > 0.92) while linear discriminant analysis (LDA) and canonical variate analysis (CVA) were used for discriminant analysis. Classification of adulterants in maple syrup using LDA and CVA gave a classification accuracy of 95%.

Original languageEnglish (US)
Pages (from-to)379-383
Number of pages5
JournalApplied Engineering in Agriculture
Volume18
Issue number3
StatePublished - May 1 2002
Externally publishedYes

Keywords

  • Beet sugar
  • Cane sugar
  • Chemometrics
  • Economic adulteration
  • FT-Raman spectroscopy
  • Inverts
  • Maple syrup

ASJC Scopus subject areas

  • Engineering(all)

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