Key Laboratory of Biogeology and Environmental Geology of Chinese Ministry of Education & Sino-Hungarian Joint Laboratory of Environmental Science and Health, China University of Geosciences, 430074 Wuhan, PR China.
Biosens Bioelectron. 2010 Jun 15;25(10):2238-43. doi: 10.1016/j.bios.2010.02.033. Epub 2010 Mar 6.
A glucose biosensor comprising a glucose oxidase/O-(2-hydroxyl)propyl-3-trimethylammonium chitosan chloride nanoparticle (O-HTCC NP)-immobilized onion inner membrane and a dissolved oxygen (O(2)) sensor has been successfully developed. The detection scheme is based on the depletion of dissolved O(2) content upon exposure to glucose. The decrease in O(2) level was monitored and related to the glucose concentration. The biosensor shows linear response to glucose from 0.0 to 0.60 mM with a detection limit of 50 microM (S/N=3). The effect of O-HTCC NP and enzyme loading, pH, temperature, and phosphate buffer concentration on the sensitivity of the biosensor was studied in detail. The biosensor exhibits fast response time (70s), good repeatability (3.2%, n=10) and storage stability (90% of initial sensitivity after 3-week storage). Common interferents including acetic acid, lactic acid, propionic acid, butyric acid, folic acid, methanol, glycine, DL-alpha-alanine and DL-cysteine do not cause significant interferences on the biosensor. The proposed biosensor method was successfully applied to determine the glucose content in real samples such as orange juice, red wine and tea drink and the results were comparable to that obtained from a spectrophotometric method. The glucose recovery test demonstrates that the proposed glucose biosensor offers an excellent, accurate and precise method for the determination of glucose in real samples.
已成功开发出一种包含葡萄糖氧化酶/O-(2-羟基)丙基-3-三甲基氯化铵壳聚糖纳米粒子(O-HTCC NP)固定化洋葱内膜和溶解氧(O2)传感器的葡萄糖生物传感器。检测方案基于暴露于葡萄糖时溶解氧(O2)含量的消耗。监测 O2 水平的降低,并与葡萄糖浓度相关。该生物传感器对葡萄糖的线性响应范围为 0.0 至 0.60 mM,检测限为 50 microM(S/N=3)。详细研究了 O-HTCC NP 和酶负载、pH 值、温度和磷酸盐缓冲液浓度对生物传感器灵敏度的影响。该生物传感器具有快速的响应时间(70s)、良好的重复性(3.2%,n=10)和存储稳定性(存储 3 周后初始灵敏度的 90%)。常见的干扰物,如乙酸、乳酸、丙酸、丁酸、叶酸、甲醇、甘氨酸、DL-α-丙氨酸和 DL-半胱氨酸,不会对生物传感器产生显著干扰。该生物传感器方法已成功应用于橙汁、红酒和茶饮料等实际样品中葡萄糖含量的测定,结果与分光光度法相当。葡萄糖回收试验表明,所提出的葡萄糖生物传感器为实际样品中葡萄糖的测定提供了一种准确、精确的方法。