Literature DB >> 20544444

The use of near-infrared spectrometry in the olive oil industry.

S Armenta1, J Moros, S Garrigues, M de la Guardia.   

Abstract

The enormous possibilities offered by near-infrared (NIR) spectroscopy for the (on/in/at-line) quality control process of olive fruits, pastes, and oils are summarized throughout this paper. Special attention has been paid to the combination of NIR and chemometric treatments for the on-line analysis of olive fruits and also for the quality parameters evaluation on olive oils and pastes which can enhance the production of a high quality olive oil and the selection of olive fruit with superior properties. The implementation of NIR sensors in olive mills with successful results has also been reviewed and the commercial olive fruit and oil analyzers highlighted.

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Year:  2010        PMID: 20544444     DOI: 10.1080/10408390802606790

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  5 in total

1.  Analysis and prediction of the major fatty acids in vegetable oils using dielectric spectroscopy at 5-30 MHz.

Authors:  Masyitah Amat Sairin; Samsuzana Abd Aziz; Chan Yoke Mun; Alfadhl Yahya Khaled; Fakhrul Zaman Rokhani
Journal:  PLoS One       Date:  2022-05-26       Impact factor: 3.752

2.  Fast, Low-Cost and Non-Destructive Physico-Chemical Analysis of Virgin Olive Oils Using Near-Infrared Reflectance Spectroscopy.

Authors:  Ana Garrido-Varo; María-Teresa Sánchez; María-José De la Haba; Irina Torres; Dolores Pérez-Marín
Journal:  Sensors (Basel)       Date:  2017-11-16       Impact factor: 3.576

3.  Optimal management of oil content variability in olive mill batches by NIR spectroscopy.

Authors:  E C Correa; J M Roger; L Lleó; N Hernández-Sánchez; P Barreiro; B Diezma
Journal:  Sci Rep       Date:  2019-09-27       Impact factor: 4.379

4.  Bluetooth-Connected Pocket Spectrometer and Chemometrics for Olive Oil Applications.

Authors:  Leonardo Ciaccheri; Barbara Adinolfi; Andrea Azelio Mencaglia; Anna Grazia Mignani
Journal:  Foods       Date:  2022-07-29

5.  Non-Invasive Methodology to Estimate Polyphenol Content in Extra Virgin Olive Oil Based on Stepwise Multilinear Regression.

Authors:  Diego Manuel Martínez Gila; Pablo Cano Marchal; Juan Gómez Ortega; Javier Gámez García
Journal:  Sensors (Basel)       Date:  2018-03-25       Impact factor: 3.576

  5 in total

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