Abstract

Portable 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.

Highlights

  • The great popularity of the tomato is mainly related to the fact that it can be eaten in multiple fresh or processed forms, being the second most important vegetable crop produce worldwide

  • We report on the performance of a novel micro-electro-mechanical systems (MEMS)

  • Samples were placed in a rotating stage and scanned in the equatorial region

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Summary

Introduction

The great popularity of the tomato is mainly related to the fact that it can be eaten in multiple fresh or processed forms, being the second most important vegetable crop produce worldwide. In 2019, global tomato production was approximately 197 million tons [1], with 75% for the fresh market and 25% for processing. California and Florida are the biggest producers representing two-thirds of the USA total production area [2]. Tomato breeding programs have focused on crop yield, fruit shape, and shelf-life [3]. Over the past 30 years, tomato breeders aimed at the development of high-quality tomato to supply customer demands for fresh fruits with good visual appearance, higher organoleptic and nutritional characteristics [3,4]. The conventional techniques used to determine these quality parameters are laborious and time-consuming, determine a single parameter, and some of them require the use of toxic reagents and trained staff to perform the measurement [5]

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