title: A colorimetric microwell method using a desktop scanner for biochemical assays.
abstract: A method for rapid, inexpensive and sensitive simultaneous analysis of glucose, creatinine, triglycerides, total cholesterol and total protein is needed to analyze blood. The proposed method is based on the production of a specific color after reaction. The method was adapted to a 64-microwell plate format, and it uses the transparency scanner feature of a commercially available desktop scanner. Each microwell plate had an 8×8 array of flat-bottomed 250μL microwells, and these microwells were used to simultaneously house the solutions for clinical assay. The scanned image was saved in TIFF format in a portable computer and then processed using a Graphic User Interface (GUI) designed in our laboratory to obtain analytical curves and to automate the mathematics and statistics calculations. This automation improved the analytical frequency of the method. The results showed that it is possible to measure a few microliters of solution with exactitude and precision better than 5.30%. The measured concentration ranges of glucose, triglycerides, creatinine, total cholesterol and total protein were 0.781 to 100, 1.56 to 200, 0.031 to 4.0, 1.56 to 200mg dL(-1) and 0.031 to 4.0g dL(-1), respectively. The limits of detection were 16.2, 51.7, 0.12, 41.5mg dL(-1) and 0.62g dL(-1) for glucose, triglycerides, creatinine, total cholesterol and total protein, respectively. The recoveries were from 98.7% to 101.3% for total cholesterol, 98.7% to 124.9% for triglycerides, 54.2% to 98.3% for total protein, 89.6% to 101% for glucose and 65.7% to 115.4% for creatinine. The results provided by the scanner were compared with those obtained with a commercial photometer and did not show significant differences at a confidence level of 95%. Good results were obtained for the correlation coefficient and Root Mean Square Error of Prediction (RMSEP) values for the five parameters, especially the total cholesterol and creatinine. The RMSEP values for glucose, creatinine, triglyceride, total cholesterol and total protein were 8.05, 0.28, 7.69, 1.41mg dL(-1) and 2.2g dL(-1), respectively.
authors.affiliation: Universidade Federal do Rio Grande do Norte, Instituto de Química, Grupo de Pesquisa em Química Biológica e Quimiometria, CEP 59072-970 Natal, RN, Brazil.
authors.forename: Camilo de Lelis
authors.initials: Cde L
authors.lastname: Medeiros de Morais
authors.affiliation: Universidade Federal do Rio Grande do Norte, Instituto de Química, Grupo de Pesquisa em Química Biológica e Quimiometria, CEP 59072-970 Natal, RN, Brazil. Electronic address: kassiolima@gmail.com.
authors.forename: Kássio Michell Gomes
authors.initials: KM
authors.lastname: de Lima
mesh_terms: D001774:Blood Chemical Analysis / Q000295:instrumentation* / Q000379:methods; D001786:Blood Glucose / Q000032:analysis; D001798:Blood Proteins / Q000032:analysis; D002784:Cholesterol / Q000097:blood; D003124:Colorimetry / Q000295:instrumentation* / Q000379:methods; D003404:Creatinine / Q000097:blood; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D014280:Triglycerides / Q000097:blood
chemical_list: D001786:Blood Glucose; D001798:Blood Proteins; D014280:Triglycerides; D002784:Cholesterol; D003404:Creatinine
keywords: Biochemical analysis; Colorimetric sensor; Graphic User Interface; Scanner