“…Hormone extraction is the most labour-intensive component of sample analysis, and hence possibly the most error-prone part of the process because the margin of error increases with each additional step, which in turn could have consequences for data interpretation ( Palme, 2005 , Palme et al , 2013 ). In the field of wildlife endocrinology, methodologies for extracting steroid hormones from many alternative sample matrices have been expanded and optimized over time ( Wasser et al , 2000 , Palme, 2005 , Hunt et al , 2014 , Burgess et al , 2016 , Hunt et al , 2017 , Richard et al , 2017 , Rolland et al , 2019 ). Exploring simplification of complex extraction protocols, in tandem with validation testing of the procedure and resultant data, can help advance physiologic studies of wildlife populations ( Palme et al , 2013 , Palme, 2019 ).…”