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Dielectric spectroscopy for the prediction of pork quality during the post-mortem time

  • Tony Chuquizuta
  • , Magaly Peralta
  • , Sideli Medina
  • , Hubert Arteaga
  • , Jimy Oblitas
  • , Segundo G. Chavez
  • , Wilson Castro
  • , Marta Castro-Giraldez
  • , Pedro J. Fito
  • Universidad Nacional Autónoma de Chota
  • Polytechnic University of Valencia
  • Universidad Nacional de Jaén
  • Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas
  • Universidad Nacional de Frontera

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Dielectric spectroscopy was used in this study to predict and classify pork quality during the post-mortem time. Eighty ∼1 kg- longissimus dorsi muscles were collected and stored at 4 ± 1 °C and pH, instrumental color, and dielectric properties (ɛ' and ɛ'') were subsequently determined in the microwave range (0.5–9 GHz) at 3, 4, 5, 6, 7, 8, 9, 10 and 24 h post-mortem (hpm), as well as moisture at 8 hpm and drip weight loss at 24 hpm. Of the 80 pork samples, two types of meat were found. RFN (33) and DFD (47) between males and females. Quality parameters: RFN (pH=5.708–5.714; L*=43.341–43.692; moisture (%) = 68.857–69.604; drip loss = 1.655–1.833) and DFD (pH=6.154–6.177; L*=40.152–41.91; moisture (%) = 69.032–69.9; drip loss = 1.129–1.693). Quality parameter predictions during muscle-to-meat transformation showed R² of 0.743 (pH), 0.811 (L*) and 0.603 (C*) for DFD meats with PLSR (full) and R2 of 0.359 (pH), 0.558 (L*) and 0.284 (C*) for RNF meats with PLSR (optimized) from male pigs. Rcv2 of 0.412–0.637 for pH, L* and c* for RFN and DFD meats from female pigs with PLSR (optimized). Dielectric spectroscopy predicts pork quality moderately well, but models that are more robust are needed to improve predictions of internal pork quality.

Original languageEnglish
Article number108128
JournalJournal of Food Composition and Analysis
Volume148
DOIs
StatePublished - Dec 2025

Keywords

  • Dielectric spectroscopy
  • Meat
  • Prediction
  • Quality

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