dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorThe Ohio State University
dc.contributorAdnan Menderes University
dc.contributorEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.date.accessioned2021-06-25T10:57:47Z
dc.date.accessioned2022-12-19T22:30:59Z
dc.date.available2021-06-25T10:57:47Z
dc.date.available2022-12-19T22:30:59Z
dc.date.created2021-06-25T10:57:47Z
dc.date.issued2021-04-01
dc.identifierApplied Sciences (Switzerland), v. 11, n. 7, 2021.
dc.identifier2076-3417
dc.identifierhttp://hdl.handle.net/11449/207595
dc.identifier10.3390/app11073209
dc.identifier2-s2.0-85104069729
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5388192
dc.description.abstractPortable spectrometers are promising tools that can be an alternative way, for various purposes, of analyzing food quality, such as monitoring in a few seconds the internal quality during fruit ripening in the field. A portable/handheld (palm-sized) near-infrared (NIR) spectrometer (Neospectra, Si-ware) with spectral range of 1295-2611 nm, equipped with a micro- electro-mechanical system (MEMs), was used to develop prediction models to evaluate tomato quality attributes non-destructively. Soluble solid content (SSC), fructose, glucose, titratable acidity (TA), ascorbic, and citric acid contents of different types of fresh tomatoes were analyzed with standard methods, and those values were correlated to spectral data by partial least squares regression (PLSR). Fresh tomato samples were obtained in 2018 and 2019 crops in commercial production, and four fruit types were evaluated: Roma, round, grape, and cherry tomatoes. The large variation in tomato types and having the fruits from distinct years resulted in a wide range in quality parameters enabling robust PLSR models. Results showed accurate prediction and good correlation (Rpred) for SSC = 0.87, glucose = 0.83, fructose = 0.87, ascorbic acid = 0.81, and citric acid = 0.86. Our results support the assertion that a handheld NIR spectrometer has a high potential to simultaneously determine several quality attributes of different types of tomatoes in a practical and fast way.
dc.languageeng
dc.relationApplied Sciences (Switzerland)
dc.sourceScopus
dc.subjectField production
dc.subjectFresh tomato quality
dc.subjectHandheld spectrometer
dc.subjectInfrared spectroscopy
dc.subjectPartial least squares (pls)
dc.titlePortable near infrared spectroscopy as a tool for fresh tomato quality control analysis in the field
dc.typeArtículos de revistas


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