A Portable Paper Strip Biosensor -based Smartphone for Detection of Glucose Content in Rice Samples
Article Sidebar
Main Article Content
Abstract
A paper strip biosensor was fabricated through the combination of horseradish peroxidase and glucose oxidase with 4-aminoantipyrine and phenol in order to produce a pink color. The color intensity was measured with a smartphone for quantitative analysis. To achieve highest paper strip biosensor performance, the concentrations of glucose oxidase, horseradish peroxidase, phenol, 4-aminoantypyrine, pH, and reaction time were studied. Under optimizations, the linear range of the glucose was 0.5-10 mM, and the detection limit was 0.17 mM. The detection of glucose was achieved within 7 min. The paper strip biosensor was successfully applied to the measurement of glucose in rice samples. The paper strip biosensor exhibits considerable promise as a portable instrument for the detection of glucose in rice and is also applicable to other types of samples. This research, nevertheless, necessitates controlled experimental conditions. Due to the fact that it impacts enzymatic activity.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Silverman B.L., Barnes C.J., Campaigne B.N., Muchmore D.B. Inhaled insulin for controlling blood glucose in patients with diabetes. Vasc. Health Risk Manage. 2007;3(6):947-58
Saeedi P., Petersohn I., Salpea P., Malanda B., Karuranga S., Unwin N., Colagiuri S., Guariguata L., Motala A.A., Ogurtsova K., Shaw J.E., Bright D., Williams R. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res. Clin. Pract. 2019;157:107843
Loosen S.H., Krieg S., Krieg A., Luedde T., Kostev K., Roderburg C. Adult Body Height Is Associated with the Risk of Type 2 but Not Type 1 Diabetes Mellitus: A Retrospective Cohort Study of 783,029 Individuals in Germany J. Clin. Med. 2023;12(6):2199
Roh E., Song D.K., Kim M.S. Emerging role of the brain in the homeostatic regulation of energy and glucose metabolism. Exp. Mol. Med. 2016;48:1-12
Herforth A., Arimond M., Alvarez-Sanchez C., Coates J., Christianson K., Muehlhoff E. A Global Review of Food-Based Dietary Guidelines. Adv. Nutr. 2019;10(4):590-605
Mohidem N. A., Hashim N., Shamsudin R., Man H.C. Rice for Food Security: Revisiting Its Production, Diversity, Rice Milling Process and Nutrient Content. Agriculture. 2022;12(6):741
Sztupecki W., Rhazi L., Depeint F., Aussenac T. Functional and Nutritional Characteristics of Natural or Modified Wheat Bran Non-Starch Polysaccharides: A Literature Review. Foods. 2023;12(14):2693
Moriya R., Shirakura T., Ito J., Mashiko S., Seo T. Activation of sodium-glucose cotransporter 1 ameliorates hyperglycemia by mediating incretin secretion in mice. Am. J. Physiol. Endocrinol. Metab. 2009;297:E1358-E1365.
Jukanti A.K., Pautong P.A., Liu Q., Sreenivasulu N. Low glycemic index rice—a desired trait in starchy staples. Trends Food Sci. Technol. 2020;106:132-49.
Chiu C.J., Taylor A. Dietary hyperglycemia, glycemic index and metabolic retinal diseases. Prog. Retinal Eye Res. 2010;30(1):18-53.
Kaur B., Ranawana V., Teh A.L., Henry C.J.K. The impact of a low glycemic index (GI) breakfast and snack on daily blood glucose profiles and food intake in young Chinese adult males. J. Clin. Transl. Endocrinol. 2015;2:92-8.
Mehrotra P. Biosensors and their applications - A review. J. Oral Biol. Craniofac. Res. 2016;6(2)153-9
Wijayanti S.D., Tsvik L., Haltrich D. Recent Advances in Electrochemical Enzyme-Based Biosensors for Food and Beverage Analysis. Foods. 2023;12(18) 3355.
Galant A.L., Kaufman R.C., Wilson J.D. Glucose: Detection and analysis. Food Chem. 2015;188:149-60.
Gonzalez N.M., Fitch A., Al-Bazi J. Development of a RP-HPLC method for determination of glucose in Shewanella oneidensis cultures utilizing 1-phenyl-3-methyl-5-pyrazolone derivatization. PLoS One. 2020;15(3):1-13.
Lopes F.M., Batista K.d.A., Batista G.L.A., Fernandes K.F. Biosensor for determination of glucose in real samples of beverages. Food Sci. Technol. 2012;32(1) 65-9.
Gao Y., Wu Y., Di J., Colorimetric detection of glucose based on gold nanoparticles coupled with silver nanoparticles. Spectrochim. Acta, Part A. 2017;173:207-12
Ghateii S., Jahanshahi A. Colorimetric detection of glucose with smartphone-coupled µPADs:harnessing machine learning algorithms in variable lighting environments. Sens. Actuators, B. 2024;400:134835.