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. 2021 Apr 27;10(5):956.
doi: 10.3390/foods10050956.

Assessment of the Analytical Performance of Three Near-Infrared Spectroscopy Instruments (Benchtop, Handheld and Portable) through the Investigation of Coriander Seed Authenticity

Affiliations

Assessment of the Analytical Performance of Three Near-Infrared Spectroscopy Instruments (Benchtop, Handheld and Portable) through the Investigation of Coriander Seed Authenticity

Claire McVey et al. Foods. .

Abstract

The performance of three near-infrared spectroscopy (NIRS) instruments was compared through the investigation of coriander seed authenticity. The Thermo Fisher iS50 NIRS benchtop instrument, the portable Ocean Insights Flame-NIR and the Consumer Physics handheld SCiO device were assessed in conjunction with chemometric modelling in order to determine their predictive capabilities and use as quantitative tools through regression analysis. Two hundred authentic coriander seed samples and ninety adulterated samples were analysed on each device. Prediction models were developed and validated using SIMCA 15 chemometric software. All instruments correctly predicted 100% of the adulterated samples. The best models resulted in correct predictions of 100%, 98.5% and 95.6% for authentic coriander samples using spectra from the iS50, Flame-NIR and SCiO, respectively. The development of regression models highlighted the limitations of the Flame-NIR and SCiO for quantitative analysis, compared to the iS50. However, the results indicate their use as screening tools for on-site analysis of food, at various stages of the food supply chain.

Keywords: chemometrics; food authenticity; handheld; near-infrared spectroscopy; portable.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Average spectrum of authentic coriander seed samples assessed using the Thermo iS50 (blue), Flame-NIR (red) and SCiO (green). The background colors represent the three NIR regions, blue (region 1), green (region 2) and orange (region 3).
Figure 2
Figure 2
The best classification models obtained for each NIRS instrument developed using SIMCA 15 software; (A) Spectra obtained from the Thermo iS50 benchtop instrument; a multiclass, PLS-DA model with SNV pre-processing applied (R2 = 0.99, Q2 = 0.70). (B) The portable Flame-NIR obtained data; a PLS-DA, two-class model with no spectral pre-processing applied (R2 = 1.0, Q2 = 0.78). (C) Data obtained from the handheld SCiO device, pre-processed with SNV and 1DER; a PLS-DA, multiclass model (R2 = 0.99. Q2 = 0.52).

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