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Maturity Prediction in Yellow Peach (Prunus persica L.) Cultivars Using a Fluorescence Spectrometer.
Scalisi, Alessio; Pelliccia, Daniele; O'Connell, Mark Glenn.
Afiliación
  • Scalisi A; Agriculture Victoria, Tatura, VIC 3616, Australia.
  • Pelliccia D; Food Agility CRC Ltd., Ultimo, NSW 2007, Australia.
  • O'Connell MG; Rubens Technologies Pty Ltd., Rowville, VIC 3178, Australia.
Sensors (Basel) ; 20(22)2020 Nov 17.
Article en En | MEDLINE | ID: mdl-33212792
ABSTRACT
Technology for rapid, non-invasive and accurate determination of fruit maturity is increasingly sought after in horticultural industries. This study investigated the ability to predict fruit maturity of yellow peach cultivars using a prototype non-destructive fluorescence spectrometer. Collected spectra were analysed to predict flesh firmness (FF), soluble solids concentration (SSC), index of absorbance difference (IAD), skin and flesh colour attributes (i.e., a* and H°) and maturity classes (immature, harvest-ready and mature) in four yellow peach cultivars-'August Flame', 'O'Henry', 'Redhaven' and 'September Sun'. The cultivars provided a diverse range of maturity indices. The fluorescence spectrometer consistently predicted IAD and skin colour in all the cultivars under study with high accuracy (Lin's concordance correlation coefficient > 0.85), whereas flesh colour's estimation was always accurate apart from 'Redhaven'. Except for 'September Sun', good prediction of FF and SSC was observed. Fruit maturity classes were reliably predicted with a high likelihood (F1-score = 0.85) when samples from the four cultivars were pooled together. Further studies are needed to assess the performance of the fluorescence spectrometer on other fruit crops. Work is underway to develop a handheld version of the fluorescence spectrometer to improve the utility and adoption by fruit growers, packhouses and supply chain managers.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Espectrometría de Fluorescencia / Prunus persica / Frutas Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Espectrometría de Fluorescencia / Prunus persica / Frutas Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Australia