Raman spectroscopy as a novel non-invasive technique to assess wildlife welfare
Grantee: Teresa Romero
Institution: University of Lincoln, University of Portsmouth, United Kingdom
Grant amount: $19,100
Grant type: Small grants
Focal species: Tufted capuchin monkey (Cebus apella)
Conservation status: Critically endangered
Disciplines: Physiology, animal welfare science
Research location: United Kingdom
Project summary
Steroid hormones are routinely used as biomarkers of stress and can be measured in different biological matrices, such as serum, saliva, feces, and urine. However, commonly used collection methods in wildlife are challenging; the stress they induce in the animals may affect hormone levels and also presents ethical issues. More recently, analysis of hormones accumulated in the hair has emerged as a non-invasive tool for measuring chronic stress in wildlife, but current limitations of hair analyses include variation in cortisol concentrations depending on sample preparation and the amount of hair required for cortisol extraction. This project will test whether Raman spectroscopy, which is suitable for the field and does not require sample pre-treatment, is a better way to use hair samples to assess steroid hormones. The planned methodology will make use of samples of mammalian hair with a known cortisol content using a control technique — liquid chromatography mass spectrometry — for comparison. The samples will be subjected to analysis by Raman to validate the technique and establish a robust analytical methodology for the non-invasive analysis of welfare biomarkers in wildlife.
Why we funded this project
Although this project is focused on development of chemical methods, we expect that the method, if validated, could make glucocorticoid assessment in the hair of wild animals much easier, increasing the future quantity and quality of that type of data. Hair is an especially interesting medium for glucocorticoid analysis because it integrates glucocorticoid levels in the body over time, causing the measurements to be more stable over time and potentially more indicative of baseline welfare, since the values are less sensitive to an animal’s most recent activities.