Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

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Publications (11/11 displayed)

  • 2023Measuring Water Vapor Sorption Hysteresis of Cement Paste through an Optical Fiber Sensor2citations
  • 2022Simple Optical Fiber Interferometer for Dynamic Measurement of Refractive Index and Thickness of Polymer Films5citations
  • 2020Preliminary assessment on the detection of putrescine using long period fiber gratings coated with titanium dioxide and poly(ethyleneco-vinyl acetate)2citations
  • 2018Plasmonic Optical Fiber Sensor Based on Double Step Growth of Gold Nano-Islands11citations
  • 2017A chemometrics approach applied to Fourier transform infrared spectroscopy (FTIR) for monitoring the spoilage of fresh salmon (Salmo salar) stored under modified atmospherescitations
  • 2016Characterization of zinc oxide coated optical fiber long period gratings with improved refractive index sensing properties88citations
  • 2016Zinc oxide coated optical fiber long period gratings for sensing of volatile organic compounds10citations
  • 2015Discrimination and characterisation of extra virgin olive oils from three cultivars in different maturation stages using Fourier transform infrared spectroscopy in tandem with chemometrics63citations
  • 2015Sensing Structure Based on Surface Plasmon Resonance in Chemically Etched Single Mode Optical Fibres68citations
  • 2014Evaluation of the Spoilage of Raw Chicken Breast Fillets Using Fourier Transform Infrared Spectroscopy in Tandem with Chemometrics50citations
  • 2014Enhanced refractive index sensing characteristics of optical fibre long period grating coated with titanium dioxide thin films92citations

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Da Silva, Pm
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Coelho, Lcc
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Dias, B.
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Mendes, Jps
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Viveiros, D.
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Coelho, L.
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Saraiva, C.
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Jorge, Pas
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Vasconcelos, H.
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Viegas, D.
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  • Da Silva, Pm
  • Coelho, Lcc
  • Dias, B.
  • Mendes, Jps
  • Viveiros, D.
  • Coelho, L.
  • Saraiva, C.
  • Jorge, Pas
  • Vasconcelos, H.
  • Santos, Jl
  • Viegas, D.
  • Machado, N.
  • Barros, Airna
  • Carvalho, T.
  • Gouvinhas, I.
  • Ferreira, Ras
  • Andre, Ps
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article

Evaluation of the Spoilage of Raw Chicken Breast Fillets Using Fourier Transform Infrared Spectroscopy in Tandem with Chemometrics

  • Saraiva, C.
  • De Almeida, Jmmm
  • Vasconcelos, H.
Abstract

The aim of this work was to evaluate the potential of Fourier transform infrared (FTIR) spectroscopy as a rapid and accurate technique to detect and predict the onset of spoilage in fresh chicken breast fillets stored at 3, 8, and 30 A degrees C. Chicken breasts were excised from carcasses at 6 h post-mortem; cut in fillets; packed in air; stored at 3, 8, and 30 A(0)C; and periodically examined for FTIR, pH, microbiological analysis, and sensory assessment of freshness. Partial least squares regression allowed estimations of total viable counts (TVC), lactic acid bacteria (LAB), Pseudomonas spp., Brochothrix thermosphacta, Enterobacteriaceae counts and pH, based on FTIR spectral data. Analysis of an external set of samples allowed the evaluation of the predictability of the method. The correlation coefficients (R-2) for prediction were 0.798, 0.832, 0.789, 0.810, 0.857, and 0.880, and the room mean square error of prediction were 0.789, 0.658, 0.715, 0.701, 0.756 log cfu g(-1) and 0.479 for TVC, LAB, Pseudomonas spp., B. thermosphacta, Enterobacteriaceae, and pH, respectively. The spectroscopic variables that can be linked and used by the models to predict the spoilage/freshness of the samples, pH, and microbial counts were the absorbency values of 375 wave numbers from 1,700 to 950 cm(-1). A principal component analysis led to the conclusion that the wave numbers that ranges from 1,408 to 1,370 cm(-1) and from 1,320 to 1,305 cm(-1) are strongly connected to changes during spoilage. These wave numbers are linked to amides and amines and may be considered potential wave numbers associated with the biochemical changes during spoilage. Discriminant analysis of spectral data was successfully applied to support sensory data and to accurately bound samples freshness. According to the results presented, it is possible to conclude that FTIR spectroscopy can be used as a reliable, accurate, and fast method for real time freshness evaluation of chicken breast fillets during storage.

Topics
  • impedance spectroscopy
  • amine
  • Fourier transform infrared spectroscopy