Literature DB >> 24387604

Nondestructive measurement of fruit and vegetable quality.

Bart M Nicolaï1, Thijs Defraeye, Bart De Ketelaere, Els Herremans, Maarten L A T M Hertog, Wouter Saeys, Alessandro Torricelli, Thomas Vandendriessche, Pieter Verboven.   

Abstract

We review nondestructive techniques for measuring internal and external quality attributes of fruit and vegetables, such as color, size and shape, flavor, texture, and absence of defects. The different techniques are organized according to their physical measurement principle. We first describe each technique and then list some examples. As many of these techniques rely on mathematical models and particular data processing methods, we discuss these where needed. We pay particular attention to techniques that can be implemented online in grading lines.

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Year:  2014        PMID: 24387604     DOI: 10.1146/annurev-food-030713-092410

Source DB:  PubMed          Journal:  Annu Rev Food Sci Technol        ISSN: 1941-1421


  8 in total

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Journal:  Biomolecules       Date:  2020-08-22

2.  Integration of Partial Least Squares Regression and Hyperspectral Data Processing for the Nondestructive Detection of the Scaling Rate of Carp (Cyprinus carpio).

Authors:  Huihui Wang; Kunlun Wang; Xinyu Zhu; Peng Zhang; Jixin Yang; Mingqian Tan
Journal:  Foods       Date:  2020-04-16

3.  Predicting sensitivity of recently harvested tomatoes and tomato sepals to future fungal infections.

Authors:  Sanja Brdar; Marko Panić; Esther Hogeveen-van Echtelt; Manon Mensink; Željana Grbović; Ernst Woltering; Aneesh Chauhan
Journal:  Sci Rep       Date:  2021-11-30       Impact factor: 4.379

4.  Optical characterization of the liver tissue affected by fibrolamellar hepatocellular carcinoma based on internal filters of laser-induced fluorescence.

Authors:  Marzieh Amani; Ali Bavali; Parviz Parvin
Journal:  Sci Rep       Date:  2022-04-12       Impact factor: 4.379

5.  Impact of drying methods on the changes of fruit microstructure unveiled by X-ray micro-computed tomography.

Authors:  Kevin Prawiranto; Thijs Defraeye; Dominique Derome; Andreas Bühlmann; Stefan Hartmann; Pieter Verboven; Bart Nicolai; Jan Carmeliet
Journal:  RSC Adv       Date:  2019-04-04       Impact factor: 3.361

6.  Non-invasive quantification of vitamin C, citric acid, and sugar in 'Valência' oranges using infrared spectroscopies.

Authors:  Karla Rodrigues Borba; Poliana Cristina Spricigo; Didem Peren Aykas; Milene Corso Mitsuyuki; Luiz Alberto Colnago; Marcos David Ferreira
Journal:  J Food Sci Technol       Date:  2020-06-24       Impact factor: 2.701

7.  Application of the Non-Destructive NIR Technique for the Evaluation of Strawberry Fruits Quality Parameters.

Authors:  Manuela Mancini; Luca Mazzoni; Francesco Gagliardi; Francesca Balducci; Daniele Duca; Giuseppe Toscano; Bruno Mezzetti; Franco Capocasa
Journal:  Foods       Date:  2020-04-06

8.  A Portable Spectrometric System for Quantitative Prediction of the Soluble Solids Content of Apples with a Pre-calibrated Multispectral Sensor Chipset.

Authors:  Nhut-Thanh Tran; Masayuki Fukuzawa
Journal:  Sensors (Basel)       Date:  2020-10-17       Impact factor: 3.576

  8 in total

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