Portable near Infrared Spectroscopy as a Tool for Fresh Tomato Quality Control Analysis in the Field

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-w...

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Main Authors: Karla R. Borba, Didem P. Aykas, Maria I. Milani, Luiz A. Colnago, Marcos D. Ferreira, Luis E. Rodriguez-Saona
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/7/3209
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author Karla R. Borba
Didem P. Aykas
Maria I. Milani
Luiz A. Colnago
Marcos D. Ferreira
Luis E. Rodriguez-Saona
author_facet Karla R. Borba
Didem P. Aykas
Maria I. Milani
Luiz A. Colnago
Marcos D. Ferreira
Luis E. Rodriguez-Saona
author_sort Karla R. Borba
collection DOAJ
description 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 (R<sub>pred</sub>) 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.
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spelling doaj.art-c575542735064e20831d3026f64edda62023-11-21T14:06:09ZengMDPI AGApplied Sciences2076-34172021-04-01117320910.3390/app11073209Portable near Infrared Spectroscopy as a Tool for Fresh Tomato Quality Control Analysis in the FieldKarla R. Borba0Didem P. Aykas1Maria I. Milani2Luiz A. Colnago3Marcos D. Ferreira4Luis E. Rodriguez-Saona5Department of Food and Nutrition, School of Pharmaceutical Sciences, São Paulo State University-UNESP, Araraquara—Jaú, Km 1, Araraquara, SP 14801-902, BrazilDepartment of Food Science and Technology, The Ohio State University, 100 Parker Food Science and Technology Building, 2015 Fyffe Road, Columbus, OH 43210, USADepartment of Analytical Chemistry, Institute of Chemistry, UNESP-São Paulo State University, 55 Prof. Francisco Degni Street, Araraquara, SP 14800-900, BrazilEmbrapa Instrumentation, XV de Novembro 1452, São Carlos, SP 13561-206, BrazilEmbrapa Instrumentation, XV de Novembro 1452, São Carlos, SP 13561-206, BrazilDepartment of Food Science and Technology, The Ohio State University, 100 Parker Food Science and Technology Building, 2015 Fyffe Road, Columbus, OH 43210, USAPortable 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 (R<sub>pred</sub>) 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.https://www.mdpi.com/2076-3417/11/7/3209infrared spectroscopyhandheld spectrometerfresh tomato qualitypartial least squares (PLS)field production
spellingShingle Karla R. Borba
Didem P. Aykas
Maria I. Milani
Luiz A. Colnago
Marcos D. Ferreira
Luis E. Rodriguez-Saona
Portable near Infrared Spectroscopy as a Tool for Fresh Tomato Quality Control Analysis in the Field
Applied Sciences
infrared spectroscopy
handheld spectrometer
fresh tomato quality
partial least squares (PLS)
field production
title Portable near Infrared Spectroscopy as a Tool for Fresh Tomato Quality Control Analysis in the Field
title_full Portable near Infrared Spectroscopy as a Tool for Fresh Tomato Quality Control Analysis in the Field
title_fullStr Portable near Infrared Spectroscopy as a Tool for Fresh Tomato Quality Control Analysis in the Field
title_full_unstemmed Portable near Infrared Spectroscopy as a Tool for Fresh Tomato Quality Control Analysis in the Field
title_short Portable near Infrared Spectroscopy as a Tool for Fresh Tomato Quality Control Analysis in the Field
title_sort portable near infrared spectroscopy as a tool for fresh tomato quality control analysis in the field
topic infrared spectroscopy
handheld spectrometer
fresh tomato quality
partial least squares (PLS)
field production
url https://www.mdpi.com/2076-3417/11/7/3209
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