Visible-NIR spectroscopic authentication assay for the classification of lamb meat according to pasture-finishing duration

Spectral analysis of meat combined with chemometric analysis has been identified as a promising tool for authenticating livestock-animal diets. The objectives of this study were (i) to determine whether the visible-NIR spectrum of perirenal adipose tissue (PAT) and caudal adipose tissue (CAT) can reliably discriminate lambs pasture-finished for different durations before slaughter, and (ii) to analyze the kinetics of appearance and stabilization of the visible-NIR spectrum-based pasture signature in PAT and CAT. Four groups of 50-55 lambs were used over three years: lambs finished on lucerne pasture for 0 (L0, concentrate-fed in stall), 21 (L21), 42 (L42) and 63 (L63) days before slaughter. Partial least squares discriminant analysis was applied on PAT or CAT visible-NIR spectra to discriminate the groups. No one adipose tissue reliably discriminated the four groups, with less than 62 % lambs correctly classified. However, visible-NIR spectroscopy was able to discriminate stall-fed (L0) from pasture-finished (L21 + L42 + L63) lambs, with an accuracy of 93.8 % and 87.5 % lambs correctly classified based on PAT and CAT spectra, respectively. The lucerne pasture fingerprint (or signature) on visible-NIR spectrum appeared between 0 and 42 days in more than 95 % of lambs. It stabilized between 42 and 63 days in CAT, but had not stabilized within the range of grazing durations pre-slaughter explored in PAT. Further research into shorter and longer pasture-finishing durations could help determine more precisely the time required for the pasture signature to appear and stabilize in animal tissues.

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Publication Details

Journal
Meat Science
Published
2024-09-17
DOI
https://doi.org/10.1016/j.meatsci.2024.109670
Citations
3
Primary Topic
Meat and Animal Product Quality
Type
article
Field-Weighted Citation Impact
1.02

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article

Visible-NIR spectroscopic authentication assay for the classification of lamb meat according to pasture-finishing duration

Sophie Prache, Lucille Rey-Cadilhac, Donato Andueza
3 citations
Meat Science
Meat and Animal Product Quality
1.02
article

Visible-NIR spectroscopic authentication assay for the classification of lamb meat according to pasture-finishing duration

Sophie Prache, Lucille Rey-Cadilhac, Donato Andueza
article en
3 citations

Abstract

Spectral analysis of meat combined with chemometric analysis has been identified as a promising tool for authenticating livestock-animal diets. The objectives of this study were (i) to determine whether the visible-NIR spectrum of perirenal adipose tissue (PAT) and caudal adipose tissue (CAT) can reliably discriminate lambs pasture-finished for different durations before slaughter, and (ii) to analyze the kinetics of appearance and stabilization of the visible-NIR spectrum-based pasture signature in PAT and CAT. Four groups of 50-55 lambs were used over three years: lambs finished on lucerne pasture for 0 (L0, concentrate-fed in stall), 21 (L21), 42 (L42) and 63 (L63) days before slaughter. Partial least squares discriminant analysis was applied on PAT or CAT visible-NIR spectra to discriminate the groups. No one adipose tissue reliably discriminated the four groups, with less than 62 % lambs correctly classified. However, visible-NIR spectroscopy was able to discriminate stall-fed (L0) from pasture-finished (L21 + L42 + L63) lambs, with an accuracy of 93.8 % and 87.5 % lambs correctly classified based on PAT and CAT spectra, respectively. The lucerne pasture fingerprint (or signature) on visible-NIR spectrum appeared between 0 and 42 days in more than 95 % of lambs. It stabilized between 42 and 63 days in CAT, but had not stabilized within the range of grazing durations pre-slaughter explored in PAT. Further research into shorter and longer pasture-finishing durations could help determine more precisely the time required for the pasture signature to appear and stabilize in animal tissues.

Meat ScienceVol. 219
Université Clermont Auvergne (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), VetAgro Sup (FR), Unité Mixte de Recherche sur les Herbivores (FR)
Ministère de l'Agriculture et de l'Alimentation, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
Zero hunger
Openalex Percentile: Top 26%
Meat and Animal Product Quality
1.02
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