Use of near-infrared spectroscopy and least-squares support vector machine to determine quality change of tomato juice

Abstract

Near-infrared (NIR) transmittance spectroscopy combined with least-squares support vector machine (LS-SVM) was investigated to study the quality change of tomato juice during the storage. A total of 100 tomato juice samples were used. The spectrum of each tomato juice was collected twice: the first measurement was taken when the tomato juice was fresh and had not undergone any changes, and the second measurement was taken after a month. Principal component analysis (PCA) was used to examine a potential capability of separating juice before and after the storage. The soluble solid content (SSC) and pH of the juice samples were determined. The results show that changes in certain compounds between tomato juice before and after the storage period were obvious. An excellent precision was achieved by LS-SVM model compared with discriminant partial least-squares (DPLS), soft independent modeling of class analogy (SIMCA), and discriminant analysis (DA) models, with 100% of a total accuracy. It can be found that NIR spectroscopy coupled with LS-SVM, DPLS, SIMCA, and DA can be used to control the quality change of tomato juice during the storage.

Sensing tomato’s pathogen using Visible/Near infrared (VIS/NIR) spectroscopy and multivariate data analysis (MVDA)

“…SVMs can handel convexit discrimination problems. SVM classification used cross validation method (Acevedo et al, 2007;Xie and Ying, 2009;Rumpf et al, 2010;Suphamitmongkol et al, 2013). SVMs were used in several agricultrual and biological applications (Abu-Khalaf and Salman, 2013;DomInguez et al, 2014;Gromski et al, 2014;Mokhtar et al, 2015).…”

“…The VIS/NIR method has many advantages, i.e. simplicity, rapidity, requires minimal sample processing prior to analysis, ease or total absence of sample preparation, can be easily automated, and ability to obtain the information about different product properties in a single measurement (Abu-Khalaf and Bennedsen, 2002a;Abu-Khalaf and Bennedsen, 2002b;Xie and Ying, 2009;Guidetti et al, 2010;Giovenzana, 2013;Sanchez, 2013;Chaparro and Pena-Rodriguez, 2014;Opara and Pathare, 2014;Sanchez et al, 2014;Nicolai et al, 2014). Moreover, it is stated that optical methods; like VIS/NIR; offer advantages of high reproducibility and good long-term stability (Winquist et al, 2006).…”

Sensing tomato’s pathogen using Visible/Near infrared (VIS/NIR) spectroscopy and multivariate data analysis (MVDA)

“…SVMs can handel convexit discrimination problems. SVM classification used cross validation method (Acevedo et al, 2007;Xie and Ying, 2009;Rumpf et al, 2010;Suphamitmongkol et al, 2013). SVMs were used in several agricultrual and biological applications (Abu-Khalaf and Salman, 2013;DomInguez et al, 2014;Gromski et al, 2014;Mokhtar et al, 2015).…”

“…The VIS/NIR method has many advantages, i.e. simplicity, rapidity, requires minimal sample processing prior to analysis, ease or total absence of sample preparation, can be easily automated, and ability to obtain the information about different product properties in a single measurement (Abu-Khalaf and Bennedsen, 2002a;Abu-Khalaf and Bennedsen, 2002b;Xie and Ying, 2009;Guidetti et al, 2010;Giovenzana, 2013;Sanchez, 2013;Chaparro and Pena-Rodriguez, 2014;Opara and Pathare, 2014;Sanchez et al, 2014;Nicolai et al, 2014). Moreover, it is stated that optical methods; like VIS/NIR; offer advantages of high reproducibility and good long-term stability (Winquist et al, 2006).…”

ACTIVIDAD ANTIOXIDANTE, HIPOLIPEMIANTE Y ANTIPLAQUETARIA DEL TOMATE (Solanum lycopersicum L.) Y EL EFECTO DE SU PROCESAMIENTO Y ALMACENAJE

“…El almacenamiento del jugo de tomate en botellas translúcidas produce cambios fisicoquímicos y organolépticos por acción de la luz (81). Por otra parte, si el jugo se almacena en botellas de vidrio, independiente de la temperatura, presenta pérdidas significativas de ácido fólico (82).…”