ArticleScientific reports2025
Stress detection/assement in dairy cows by the determination of cortisol in hair by near-infrared (NIR), mid-infrared (MIR) and Raman spectroscopy.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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6 authors.
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Abstract
Chronic stress in dairy cows could adversely affect their emotional well-being, immune function, reproductive capability and milk yield. Effective measurement and assessment of chronic stress in herds is crucial for maintaining welfare and addressing issues. Hair cortisol concentration is a promising biomarker of chronic stress that is typically measured using enzyme linked immunosorbent assay (ELISA), which is reliable but costly and time-consuming. This study explores the potential of three vibrational spectroscopic techniques near-infrared (NIR), mid-infrared (MIR), and Raman spectroscopy to predict cortisol content in dairy cow hair samples as a more efficient alternative. 134 hair samples from 30 cows were analysed using bench-top spectrometers to obtain NIR, MIR and Raman spectra. Hair cortisol levels, determined by ELISA, ranged from 8.3 to 91.5 pg/mg, with an average of 27.1 pg/mg. The partial least squares (PLS) model yielded R
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