scholarly journals Non-invasive measurement of cortisol metabolites in feces as an indicator of stress and its relationship with the number and arrival frequency of visitors in captive sambar deer (Cervus unicolor)

2021 ◽  
Vol 1882 (1) ◽  
pp. 012095
Author(s):  
G Gholib ◽  
P T M Jannah ◽  
S Wahyuni ◽  
E Rahmi ◽  
M Hanafiah ◽  
...  
2013 ◽  
Vol 45 (6) ◽  
pp. 1453-1458 ◽  
Author(s):  
Omer-Elfaroug Sid-Ahmed ◽  
Ahmed Sanhouri ◽  
Badr-Eldin Elwaseela ◽  
Imad Fadllalah ◽  
Galal-Eldin Elazhari Mohammed ◽  
...  

2020 ◽  
Vol 151 ◽  
pp. 01061
Author(s):  
Gholib Gholib ◽  
Fatri H.R.A. Pampang ◽  
Triva M. Lubis ◽  
Mulyadi Adam ◽  
Muhammad Jalaluddin ◽  
...  

Non-invasive measurement hormones in feces using enzyme immunoassay (EIA) technique needs to be validated. This study was conducted to develop and validate an enzyme immunoassay kit for measuring the concentration of cortisol metabolites in feces of Toraya buffalo. An EIA kit of 11β-hydroxyetiocholanolone (11β-hydroxy-CM assay) was developed and validated analytically and biologically using feces of Toraya Buffalo for cortisol metabolite measurements. Analytical validation comprises the parallelism test, accuracy, precision, and assay sensitivity. Biological validation performed by comparing concentration cortisol metabolites in feces of Toraya buffalo before and after pa’silaga tedong, a fighting contest of buffalo during the death ceremony of rambu solo at Tana Toraja, South Sulawesi Province. Results showed that the curve of serial dilution of fecal samples was parallel with the 11β-hydroxy-CM standard curves. The accuracy and sensitivity of the 11β-hydroxy-CM assay were 96.21%±7.59 and 0.78pg/well, respectively. The precision based on coefficient variation (CV) of intraand inter-assay was < 10% and < 15%, respectively. Biological validation results showed that cortisol metabolites concentrations after pa’silaga tedong were increased 3-10 fold than before pa’silaga tedong. In conclusion, the 11β-hydroxy-CM assay is a reliable assay for measuring cortisol metabolites in feces of Toraya buffalo.


2001 ◽  
Vol 120 (5) ◽  
pp. A266-A266
Author(s):  
R BUTLER ◽  
B ZACHARAKIS ◽  
D MOORE ◽  
K CRAWFORD ◽  
G DAVIDSON ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2162
Author(s):  
Mohammad Mamouei ◽  
Subhasri Chatterjee ◽  
Meysam Razban ◽  
Meha Qassem ◽  
Panayiotis A. Kyriacou

Dermal water content is an important biophysical parameter in preserving skin integrity and preventing skin damage. Traditional electrical-based and open-chamber evaporimeters have several well-known limitations. In particular, such devices are costly, sizeable, and only provide arbitrary outputs. They also do not permit continuous and non-invasive monitoring of dermal water content, which can be beneficial for various consumer, clinical, and cosmetic purposes. We report here on the design and development of a digital multi-wavelength optical sensor that performs continuous and non-invasive measurement of dermal water content. In silico investigation on porcine skin was carried out using the Monte Carlo modeling strategy to evaluate the feasibility and characterize the sensor. Subsequently, an in vitro experiment was carried out to evaluate the performance of the sensor and benchmark its accuracy against a high-end, broad band spectrophotometer. Reference measurements were made against gravimetric analysis. The results demonstrate that the developed sensor can deliver accurate, continuous, and non-invasive measurement of skin hydration through measurement of dermal water content. Remarkably, the novel design of the sensor exceeded the performance of the high-end spectrophotometer due to the important denoising effects of temporal averaging. The authors believe, in addition to wellbeing and skin health monitoring, the designed sensor can particularly facilitate disease management in patients presenting diabetes mellitus, hypothyroidism, malnutrition, and atopic dermatitis.


Author(s):  
Konstantinos Markakis ◽  
Nikolaos Pagonas ◽  
Eleni Georgianou ◽  
Panagiota Zgoura ◽  
Benjamin J. Rohn ◽  
...  

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