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Prediction models for assessing lycopene in open-field cultivated tomatoes by means of a portable reflectance sensor: cultivar and growing season effects Leonardo Ciaccheri, Lorenza Tuccio, Andrea A Mencaglia, Kalina Maja Sikorska-Zimny, Ewelina Hallmann, Artur Kowalski, Anna Grazia Mignani, Stanislaw Kaniszewski, and Giovanni Agati J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.8b01570 • Publication Date (Web): 20 Apr 2018 Downloaded from http://pubs.acs.org on April 20, 2018
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Journal of Agricultural and Food Chemistry
Prediction models for assessing lycopene in open-field cultivated tomatoes by means of a portable reflectance sensor: cultivar and growing-season effects
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Leonardo Ciaccheria, Lorenza Tuccioa, Andrea A. Mencagliaa, Kalina Sikorska-Zimnyb, Ewelina Hallmannc, Artur Kowalskib, Anna G. Mignania, Stanislaw Kaniszewskib, Giovanni Agatia,*
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a
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b
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c
Istituto di Fisica Applicata “Nello Carrara” – CNR, Via Madonna del Piano, 10 – 50019 Sesto Fiorentino (FI), Italy,
[email protected],
[email protected],
[email protected],
[email protected],
[email protected] Research Institute of Horticulture, Konstytucji 3 Maja 1/3, 96-100 Skierniewice, Poland,
[email protected],
[email protected],
[email protected] Department of Functional, Organic Food and Commodities, Faculty of Nutrition and Consumer Sciences, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159c, 02-776 Warsaw, Poland,
[email protected] 18 19 20 21
*Corresponding author at: Istituto di Fisica Applicata “Nello Carrara” – CNR, Via Madonna del Piano, 10 – 50019 Sesto Fiorentino (FI), Italy
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E-mail address:
[email protected] 23
Tel. +390555225306
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Fax +390555225305
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Journal of Agricultural and Food Chemistry
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ABSTRACT
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Reflectance spectroscopy represents a useful tool for the non-destructive assessment of tomato
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lycopene, even in the field. For this reason, a compact, low-cost, LED-based sensor has been
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developed to measure reflectance in the 400-750 nm spectral range. It was calibrated against wet
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chemistry and evaluated by Partial Least Squares (PLS) regression analyses. The lycopene
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prediction models were defined for two open-field cultivated red-tomato varieties: the processing
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oblong tomatoes of the cv. Calista (average weight: 76 g) and the fresh-consumption round
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tomatoes of the cv. Volna (average weight: 130 g), over a period of two consecutive years. The
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lycopene prediction models were dependent on both cultivar and season.
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The lycopene RMSEP produced by the 2014 single-cultivar calibrations validated on the 2015
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samples was large (33 mg kg-1) in the Calista tomatoes and acceptable (9.5 mg kg-1) in the Volna
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tomatoes.
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A more general bi-cultivar and bi-year model could still explain almost 80% of the predicted
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lycopene variance, with a relative error in red tomatoes of less than 20%.
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In 2016, the in-field applications of the multi-seasonal prediction models, built with the 2014 and
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2015 data, showed significant (P
