作者: Keyvan Asefpour Vakilian , Jafar Massah
DOI: 10.1109/JSEN.2018.2809493
关键词:
摘要: So far, several enzyme-based electrochemical biosensors have been developed for nitrate concentration determination. Generally, measurement in these methods is based on the catalytic current obtained from cyclic voltammetry or amperometry carried out laboratory conditions. However, voltammetric response cannot be directly used to measure portable because operating conditions of device and samples’ characteristics significantly affect biosensor’s response. In this paper, a biosensor introduced which, features along with spectroscopic samples are considered Electrochemical, spectroscopic, sample’s included results an unstirred three-electrode system, spectral absorption range 150–1000 nm, storage time, temperature prepared working electrode, type pH, respectively. A machine learning method was learn train predict liquid samples, including drinking water, juice, plant extract, human saliva, wide pH (between 3.5 8.5). Results showed that containing plant-based reductase as biocatalyst, anthraquinone-2-sulfonate mediator, support vector usable up 10 days after enzyme immobilization it able more than 200 without need replacement.