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Non-destructive analysis of anthocyanins in cherries by means of Lambert-Beer and multivariate regression based on spectroscopy and scatter correction using time-resolved analysis
Authors:Manuela Zude  Michael PflanzLorenzo Spinelli  Carsten DoscheAlessandro Torricelli
Affiliation:a Leibniz Institute for Agricultural Engineering Potsdam-Bornim (ATB), Dept. Horticultural Engineering, Max-Eyth-Allee 100, 14669 Potsdam-Bornim, Germany
b Istituto di Fotonica e Nanotecnologie - Consiglio Nazionale per le Ricerche (IFN-CNR), Piazza Leonardo da Vinci, 32, Milan, Italy
c University of Potsdam, Dept. Physical Chemistry, Karl-Liebknecht-Str. 24-25, Potsdam-Golm, Germany
d Politecnico di Milano - Dipartimento di Fisica, Piazza Leonardo da Vinci, 32, Milan, Italy
Abstract:In high-value sweet cherry (Prunus avium), the red coloration - determined by the anthocyanins content - is correlated with the fruit ripeness stage and market value. Non-destructive spectroscopy has been introduced in practice and may be utilized as a tool to assess the fruit pigments in the supply chain processes. From the fruit spectrum in the visible (Vis) wavelength range, the pigment contents are analyzed separately at their specific absorbance wavelengths.A drawback of the method is the need for re-calibration due to varying optical properties of the fruit tissue. In order to correct for the scattering differences, most often the spectral intensity in the visible spectrum is normalized by wavelengths in the near infrared (NIR) range, or pre-processing methods are applied in multivariate calibrations.In the present study, the influence of the fruit scattering properties on the Vis/NIR fruit spectrum were corrected by the effective pathlength in the fruit tissue obtained from time-resolved readings of the distribution of time-of-flight (DTOF). Pigment analysis was carried out according to Lambert-Beer law, considering fruit spectral intensities, effective pathlength, and refractive index. Results were compared to commonly applied linear color and multivariate partial least squares (PLS) regression analysis. The approaches were validated on fruits at different ripeness stages, providing variation in the scattering coefficient and refractive index exceeding the calibration sample set.In the validation, the measuring uncertainty of non-destructively analyzing fruits with Vis/NIR spectra by means of PLS or Lambert-Beer in comparison with combined application of Vis/NIR spectroscopy and DTOF measurements showed a dramatic bias reduction as well as enhanced coefficients of determination when using both, the spectral intensities and apparent information on the scattering influence by means of DTOF readings. Corrections for the refractive index did not render improved results.
Keywords:Cherry  DTOF  Effective pathlength  Fruit maturity  Lambert-Beer  NIR  Non-invasive  Pigments  PLS  Ripeness  Sensor fusion  Spectroscopy  Time-resolved spectroscopy  TIRF  Vis  Scattering
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