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Simple and Computer-assisted Olfactory Testing for Mice
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Developing and Understanding Olfactory Evaluation of Boar Taint.

Evert Heyrman1, Steven Janssens2, Nadine Buys2

  • 1Animal Sciences Unit, ILVO (Flanders Research Institute for Agriculture, Fisheries and Food), Burgemeester Van Gansberghelaan 92, 9090 Melle, Belgium.

Animals : an Open Access Journal From MDPI
|September 22, 2020
PubMed
Summary

Standardized boar taint detection using trained expert panels improves accuracy. A consistent scoring method and control samples enhance olfactory evaluation, crucial for boar taint research.

Keywords:
androstenoneboar taintindoleolfactory detectionpanelpigsskatole

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Area of Science:

  • Animal Science
  • Sensory Science
  • Analytical Chemistry

Background:

  • Boar taint detection relies on trained panels, but protocols vary.
  • Standardization is needed for reliable olfactory assessment of boar taint.

Purpose of the Study:

  • To develop and validate a standardized training and scoring process for boar taint detection.
  • To evaluate the impact of training, sample order, and priming on panel performance.
  • To establish detection thresholds and recommend best practices for expert panels.

Main Methods:

  • Three experiments were conducted to assess training effectiveness, sample effects, and priming.
  • Panelists' detection thresholds were determined for boar taint compounds on strips and in fat.
  • A three-person evaluation scoring system (0-4 scale) with a 0.5 cut-off was proposed.

Main Results:

  • Limited training significantly improved boar taint evaluation.
  • Detection thresholds were higher in fat than on strips, except for indole.
  • Priming panelists with strips did not enhance fat sample evaluation; control samples aided reset.

Conclusions:

  • A standardized protocol, including a three-person scoring system and control sample use, enhances boar taint detection reliability.
  • Expert panel training is essential, while priming may not be beneficial.
  • Recommendations are provided for panel setup and evaluation in longitudinal studies.