Literature DB >> 32569943

Fresh, freeze-dried or cell wall samples: Which is the most appropriate to determine chemical, structural and rheological variations during apple processing using ATR-FTIR spectroscopy?

Weijie Lan1, Catherine M G C Renard2, Benoit Jaillais3, Alexandre Leca4, Sylvie Bureau5.   

Abstract

Attenuated total reflectance Fourier transform spectroscopy (ATR-FTIR) was applied on fresh (NF), freeze-dried (FD) and cell wall materials (AIS) of raw and processed apples. These samples prepared from 36 apple sets and the corresponding 72 purees, issued from different varieties, agricultural practices, storage periods and processing conditions, were used to build models including exploratory analysis, supervised classification and multivariate calibration. Fresh and freeze-dried samples presented similar fingerprint spectral variations due to processing. ATR-FTIR directly on fresh purees satisfactorily predicted textural properties such as particle average size and volume (RPD > 3.0), while freeze-drying improved assessment of chemical (RPD > 3.2) and rheological (RPD > 3.1) parameters using partial least-squares regression. The assessment of texture and macrocomponents of purees can be obtained with a limited sample preparation. For research applications because of a need of sample preparation, changes of cell wall composition during fruit processing could be assessed in relationship with pectin degradation.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Apple processing; Discrimination; Malus domestica Borkh; Mid infrared spectroscopy; Partial least-squares regression (PLSR)

Year:  2020        PMID: 32569943     DOI: 10.1016/j.foodchem.2020.127357

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  1 in total

1.  Authentication and Provenance of Walnut Combining Fourier Transform Mid-Infrared Spectroscopy with Machine Learning Algorithms.

Authors:  Hongyan Zhu; Jun-Li Xu
Journal:  Molecules       Date:  2020-10-28       Impact factor: 4.411

  1 in total

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