Analysis of elements in wine using near infrared spectroscopy and partial least squares regression

Daniel Cozzolino, M.J. Kwiatkowski, Robert Dambergs, Wies Cynkar, Les Janik, G Skouroumounis, Mark Gishen

Research output: Contribution to journalArticlepeer-review

112 Citations (Scopus)

Abstract

The use of visible (VIS) and near infrared spectroscopy (NIRS) to measure the concentration of elements in Australian wines was investigated. Both white (n = 32) and red (n = 94) wine samples representing a wide range of varieties and regions were analysed by inductively coupled plasma mass spectrometry (ICP-MS) for the concentrations of calcium (Ca), potassium (K), magnesium (Mg), phosphorus (P), sodium (Na), sulphur (S), iron (Fe), boron (B) and manganese (Mn). Samples were scanned in transmittance mode (1 mm path length) in a monochromator instrument (400–2500 nm). The spectra were pre-treated by second derivative and standard normal variate (SNV) prior to developing calibration models using partial least squares (PLS) regression method with cross-validation. The highest coefficients of determination in cross-validation () and the lowest errors of cross-validation (SECV) were obtained for Ca (0.90 and 9.80 mg L−1), Fe (0.86 and 0.65 mg L−1) and for K (0.89 and 147.6 mg L−1). Intermediate (<0.80) and SECV were obtained for the other minerals analysed. The results showed that some macro- and microelements present in wine might be measured by VIS–NIRS spectroscopy.
Original languageEnglish
Pages (from-to)711-716
Number of pages6
JournalTalanta
Volume74
Issue number4
Early online date07 Jul 2007
DOIs
Publication statusPublished - 15 Jan 2008

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