Literature DB >> 15828787

Nondestructive determination of solids and carotenoids in tomato products by near-infrared spectroscopy and multivariate calibration.

André M K Pedro1, Márcia M C Ferreira.   

Abstract

Tomato is an important player in the agricultural market. It is the second most consumed vegetable in the world and is a source of important micronutrients such as lycopene and beta-carotene. Recent research has demonstrated that these carotenoids can act as free-radical quenchers in the body and prevent aging, tissue damage, heart disease, and certain cancers. Besides these microcomponents, tomato is composed of soluble and insoluble solids. In industry, these solids govern factory yield and play a major role in the tomato trade. Nowadays, standard methods for determining tomato solids and carotenoids are time and labor consuming. In this work, we present the development of a simultaneous and nondestructive method for determining total and soluble solids, as well as lycopene and beta-carotene, in tomato products by near-infrared spectroscopy. PLS-1 was the calibration technique chosen. For spectra preprocessing, MSC and second derivative were applied. As variable selection techniques, the correlogram cutoff, the successive projections algorithm, the dimension wise selection, and spectra splitting approach were applied. Best models presented satisfactory prediction abilities evaluated through its RMSEP and r values: total solids 0.4157, 0.9998; soluble solids 0.6333, 0.9996; lycopene 21.5779, 0.9996; beta-carotene 0.7296, 0.9981.

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Year:  2005        PMID: 15828787     DOI: 10.1021/ac048651r

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 in total

1.  Application of principal component-radial basis function neural networks (PC-RBFNN) for the detection of water-adulterated bayberry juice by near-infrared spectroscopy.

Authors:  Li-juan Xie; Xing-qian Ye; Dong-hong Liu; Yi-bin Ying
Journal:  J Zhejiang Univ Sci B       Date:  2008-12       Impact factor: 3.066

2.  Prediction of Soluble Solids and Lycopene Content of Processing Tomato Cultivars by Vis-NIR Spectroscopy.

Authors:  Márton Égei; Sándor Takács; Gábor Palotás; Gabriella Palotás; Péter Szuvandzsiev; Hussein Gehad Daood; Lajos Helyes; Zoltán Pék
Journal:  Front Nutr       Date:  2022-06-28

3.  How to Resolve the Maximum Valuable Information in Complex NIR Signal: A Practicable Method Based on Wavelet Transform.

Authors:  Jing Chen; Xiaoquan Lu
Journal:  Front Chem       Date:  2022-04-07       Impact factor: 5.545

4.  Detection of cracks on tomatoes using a hyperspectral near-infrared reflectance imaging system.

Authors:  Hoonsoo Lee; Moon S Kim; Danhee Jeong; Stephen R Delwiche; Kuanglin Chao; Byoung-Kwan Cho
Journal:  Sensors (Basel)       Date:  2014-10-10       Impact factor: 3.576

5.  Quantification of Lycopene, β-Carotene, and Total Soluble Solids in Intact Red-Flesh Watermelon (Citrullus lanatus) Using On-Line Near-Infrared Spectroscopy.

Authors:  Elena Tamburini; Stefania Costa; Irene Rugiero; Paola Pedrini; Maria Gabriella Marchetti
Journal:  Sensors (Basel)       Date:  2017-04-11       Impact factor: 3.576

6.  A comparison study of five different methods to measure carotenoids in biofortified yellow cassava (Manihot esculenta).

Authors:  Angélica M Jaramillo; Luis Fernando Londoño; Juan Camilo Orozco; Gelver Patiño; John Belalcazar; Fabrice Davrieux; Elise F Talsma
Journal:  PLoS One       Date:  2018-12-28       Impact factor: 3.240

7.  Detection and Quantification of Tomato Paste Adulteration Using Conventional and Rapid Analytical Methods.

Authors:  Flora Vitalis; John-Lewis Zinia Zaukuu; Zsanett Bodor; Balkis Aouadi; Géza Hitka; Timea Kaszab; Viktoria Zsom-Muha; Zoltan Gillay; Zoltan Kovacs
Journal:  Sensors (Basel)       Date:  2020-10-24       Impact factor: 3.576

  7 in total

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