Salivary glucose: association with glyco-lipemic parameters and FT-IR quantification in rural workers
A new method based on Fourier Transform Infrared Molecular Absorption Spectroscopy (FT-IR) and chemometrics was developed for the quantification of salivary glucose using saliva and blood samples from 104 rural workers from five municipalities of Rio Pardo Valley-RS, Brazil. The most relevant findin...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | Brasil |
| Institución: | Instituto Brasileiro de Ensino e Pesquisa em Fisiologia do Exercício (IBPEFEX) |
| Repositorio: | Revista brasileira de obesidade, nutrição e emagrecimento |
| Idioma: | portugués |
| OAI Identifier: | oai:ojs.www.rbone.com.br:article/2424 |
| Acceso en línea: | https://www.rbone.com.br/index.php/rbone/article/view/2424 |
| Access Level: | acceso abierto |
| Palabra clave: | FT-IR Saliva Glyco-lipomic profile Salivary glucose Chemometrics Perfil glicolipémico Glucosa salival Quimiometria Profilo glicolipemico Glucosio salivare Chemiometria Perfil glico-lipêmico Glicose salivar Perfil glico-lipémico |
| Sumario: | A new method based on Fourier Transform Infrared Molecular Absorption Spectroscopy (FT-IR) and chemometrics was developed for the quantification of salivary glucose using saliva and blood samples from 104 rural workers from five municipalities of Rio Pardo Valley-RS, Brazil. The most relevant finding of the glyco-lipemic profile was the higher prevalence of elevated levels of total cholesterol and HDL in women (p<0.05). Hypertriglyceridemia was also more prevalent in women considering only values above the desirable maximum limit (1.0509 mmol.L-1). Salivary glucose ranged from 0 to 0.7221 mmol.L-1 and showed no significant correlation with the glyco-lipemic parameters evaluated. Partial least squares regression analysis between the first derivative salivary spectra acquired by the (SRIFTS) Specular Reflect technique and the respective salivary glucose values assessed by the enzymatic method gave rise to a chemometric model with good predictive quality (RMSECV=0,0007; RMSEP = 0,0009, R2=0,999990, p <0.0001). Therefore, it is concluded that the use of salivary glucose does not appear as a suitable biomarker to evaluate glyco-lipemic profile in rural workers. On the other hand, it can be easily estimated by FT-IR using a chemometric method. |
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