Non-invasive spectroscopic and imaging systems for prediction of beef quality in a meat processing pilot plant

Y Dixit; S Hitchman; T M Hicks; P Lim; C K Wong; L Holibar; K C Gordon; M Loeffen; M M Farouk; C R Craigie; M M Reis

doi:10.1016/j.meatsci.2020.108410

Non-invasive spectroscopic and imaging systems for prediction of beef quality in a meat processing pilot plant

Meat Sci. 2021 Nov:181:108410. doi: 10.1016/j.meatsci.2020.108410. Epub 2020 Dec 14.

Authors

Y Dixit¹, S Hitchman², T M Hicks³, P Lim⁴, C K Wong⁴, L Holibar⁴, K C Gordon⁵, M Loeffen⁶, M M Farouk⁷, C R Craigie⁸, M M Reis⁹

Affiliations

¹ AgResearch, Te Ohu Rangahau Kai, Palmerston North, New Zealand; Dodd-Walls Centre and Department of Chemistry, University of Otago, Dunedin, New Zealand.
² Dodd-Walls Centre and Department of Chemistry, University of Otago, Dunedin, New Zealand; AgResearch Ruakura, Hamilton, New Zealand.
³ AgResearch, Te Ohu Rangahau Kai, Palmerston North, New Zealand.
⁴ Callaghan Innovation, Auckland, New Zealand.
⁵ Dodd-Walls Centre and Department of Chemistry, University of Otago, Dunedin, New Zealand; Department of Chemistry, University of Otago, Dunedin, New Zealand.
⁶ Delytics Ltd., Hamilton, New Zealand.
⁷ AgResearch Ruakura, Hamilton, New Zealand.
⁸ Dodd-Walls Centre and Department of Chemistry, University of Otago, Dunedin, New Zealand; AgResearch Lincoln, Christchurch, New Zealand.
⁹ AgResearch, Te Ohu Rangahau Kai, Palmerston North, New Zealand; Dodd-Walls Centre and Department of Chemistry, University of Otago, Dunedin, New Zealand. Electronic address: marlon.m.reis@agresearch.co.nz.

PMID: 33358222
DOI: 10.1016/j.meatsci.2020.108410

Abstract

This study evaluated a range of diffuse reflectance spectroscopic (Vis-NIR spectrophotometers) and imaging (Hyperspectral imaging cameras) instruments for predicting pH, IMF and shear force values of beef in a meat processing pilot plant. A total of 364 beef striploin samples were evaluated and prediction models were developed using PLSR. Models for pH and IMF (except Vis snapshot camera) showed good fit with high R_cv² (0.29-0.92) and low SECV values. Good prediction accuracy with high R_p² (0.44-0.90), RPD and low SEP values was also observed. While low values of R_p² for shear force was observed, the expected curvilinear relationship between predicted values of shear force and predicted values of pH was observed suggesting that spectroscopic measurements were able detect biophysical factors associated to these two attributes. Overall, it can be concluded that diffuse reflectance spectroscopy combined with chemometrics has a great potential to be used as an on/in-line quality monitoring system for the meat processing industry.

Keywords: Chemometrics; HSI; Meat; NIR; Robot; Spectroscopy.

MeSH terms

Adipose Tissue
Animals
Cattle
Female
Food Handling
Food Quality
Hydrogen-Ion Concentration
Hyperspectral Imaging / methods
Hyperspectral Imaging / veterinary*
Male
Muscle, Skeletal
Red Meat / analysis*
Shear Strength
Spectroscopy, Near-Infrared / methods
Spectroscopy, Near-Infrared / veterinary*