Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Near Infrared Spectroscopy
  • Vol. 15,
  • Issue 6,
  • pp. 401-404
  • (2007)

Prediction of Water Content in Game Trophies by near Infrared Reflectance Spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

In this study, we tested the efficiency of near infrared (NIR) spectroscopy to assess the water content in roe deer skulls, which are used as hunting trophies, as their weight is an important entry for the calculation of their value (also the price paid by hunters). The omission of water content is one of the main problems in the evaluation of game trophies. Three female roe deer skulls were periodically analysed by a conventional method and scanned using a Nicolet Antaris spectrometer. Calibration was performed by partial least squares regression. The initial water content of the skulls ranged from 21.6 to 22.6%. NIR calibrations corresponded well to the conventionally estimated water content. The water content was best determined from the occipital bone (R2 = 0.99; SECV = 0.11%), less reliably from the frontal and temporal bones, while the poorest results were obtained from the upper jaw. The results are sufficiently accurate to recommend NIR spectroscopy for estimating the water content in game trophies.

© 2007 IM Publications LLP

PDF Article
More Like This
Spatial mapping of proteoglycan content in articular cartilage using near-infrared (NIR) spectroscopy

Isaac O. Afara, Hayley Moody, Sanjleena Singh, Indira Prasadam, and Adekunle Oloyede
Biomed. Opt. Express 6(1) 144-154 (2015)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.