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Spectrochim Acta A Mol Biomol Spectrosc ; 204: 670-676, 2018 Nov 05.
Artigo em Inglês | MEDLINE | ID: mdl-29982158

RESUMO

This work demonstrates a novel compact spectrophotometer, "Mini-spectrophotometer", designed for plasma glucose detection. Unlike conventional spectrophotometer, a light source of the mini spectrophotometer is replaced by a light-emitting diode (LED), and a fabricated polymer-based microwell is used as a cuvette. To validate the downsizing spectrophotometer prototype, the efficiency and reliability for glucose determination are investigated. Using a certain light intensified from LED, the within-run precision of mini-spectrophotometer is found to be 3.9-8.4% while the between-run precision is 6.7-10.8%. The linearity for the quantification of glucose was up to 500 mg dL-1 and the recovery 99.1 ±â€¯3.4% is obtained. The sensitive and selective detection of glucose has been observed; with limit of detection (LOD) of 13.5 mg dL-1 and limit of quantification (LOQ) of 46.2 mg dL-1, respectively. Hemoglobin and triglyceride at high concentration slightly interferes with the proposed instrument. From comparative studies, there are no significant differences between the glucose concentration measured by mini-spectrophotometer and Shimadzu (r2 = 0.9862) or CECIL spectrophotometer (r2 = 0.9853). Using Passing-Bablok regression analysis, the results obtained from mini-spectrophotometer are in close agreement with the two conventional spectrophotometers. Furthermore, using microwell, the sample volume and reagent used in the process can be reduced. The in-house developed mini-spectrophotometer is capable of detecting plasma glucose while maintaining a compact system, demonstrating the potential of high performance, cost-effective, and portable spectrophotometer for clinical chemistry analysis in small routine, research, and teaching medical laboratory technologist.


Assuntos
Glicemia/análise , Miniaturização/instrumentação , Espectrofotometria/instrumentação , Desenho de Equipamento , Humanos , Limite de Detecção , Modelos Lineares , Reprodutibilidade dos Testes
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