Literature DB >> 23811103

A correlative study on data from pork carcass and processed meat (Bauernspeck) for automatic estimation of chemical parameters by means of near-infrared spectroscopy.

Lucio Boschetti1, Matteo Ottavian, Pierantonio Facco, Massimiliano Barolo, Lorenzo Serva, Stefania Balzan, Enrico Novelli.   

Abstract

The use of near-infrared spectroscopy (NIRS) is proposed in this study for the characterization of the quality parameters of a smoked and dry-cured meat product known as Bauernspeck (originally from Northern Italy), as well as of some technological traits of the pork carcass used for its manufacturing. In particular, NIRS is shown to successfully estimate several key quality parameters (including water activity, moisture, dry matter, ash and protein content), suggesting its suitability for real time application in replacement of expensive and time consuming chemical analysis. Furthermore, a correlative approach based on canonical correlation analysis was used to investigate the spectral regions that are mostly correlated to the characteristics of interest. The identification of these regions, which can be linked to the absorbance of the main functional chemical groups, is intended to provide a better understanding of the chemical structure of the substrate under investigation.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bauernspeck; Canonical correlation analysis; Food quality; Near-infrared spectroscopy; Partial least squares regression

Mesh:

Substances:

Year:  2013        PMID: 23811103     DOI: 10.1016/j.meatsci.2013.06.001

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  6 in total

1.  Determination of Leaf Water Content by Visible and Near-Infrared Spectrometry and Multivariate Calibration in Miscanthus.

Authors:  Xiaoli Jin; Chunhai Shi; Chang Yeon Yu; Toshihiko Yamada; Erik J Sacks
Journal:  Front Plant Sci       Date:  2017-05-19       Impact factor: 5.753

2.  Prediction of Mineral Composition in Commercial Extruded Dry Dog Food by Near-Infrared Reflectance Spectroscopy.

Authors:  Arianna Goi; Carmen L Manuelian; Sarah Currò; Massimo De Marchi
Journal:  Animals (Basel)       Date:  2019-09-01       Impact factor: 2.752

Review 3.  Predicting the Quality of Meat: Myth or Reality?

Authors:  Cécile Berri; Brigitte Picard; Bénédicte Lebret; Donato Andueza; Florence Lefèvre; Elisabeth Le Bihan-Duval; Stéphane Beauclercq; Pascal Chartrin; Antoine Vautier; Isabelle Legrand; Jean-François Hocquette
Journal:  Foods       Date:  2019-09-24

Review 4.  Historical Evolution and Food Control Achievements of Near Infrared Spectroscopy, Electronic Nose, and Electronic Tongue-Critical Overview.

Authors:  Balkis Aouadi; John-Lewis Zinia Zaukuu; Flora Vitális; Zsanett Bodor; Orsolya Fehér; Zoltan Gillay; George Bazar; Zoltan Kovacs
Journal:  Sensors (Basel)       Date:  2020-09-24       Impact factor: 3.576

5.  Optimization of the Appearance Quality in CO2 Processed Ready-to-Eat Carrots through Image Analysis.

Authors:  Gianmarco Barberi; Víctor González-Alonso; Sara Spilimbergo; Massimiliano Barolo; Alessandro Zambon; Pierantonio Facco
Journal:  Foods       Date:  2021-12-04

6.  Optimizing near Infrared Reflectance Spectroscopy to Predict Nutritional Quality of Chickpea Straw for Livestock Feeding.

Authors:  Tena Alemu; Jane Wamatu; Adugna Tolera; Mohammed Beyan; Million Eshete; Ashraf Alkhtib; Barbara Rischkowsky
Journal:  Animals (Basel)       Date:  2021-11-29       Impact factor: 2.752

  6 in total

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