辣根过氧化物酶/胆碱氧化酶玻碳电极生物传感器检测人工大豆毛油中磷脂酰胆碱含量OA北大核心CSTPCD
Determination of Phosphatidylcholine in Artificial Crude Soybean Oil by Biosensor Based on Horseradish Peroxidase/Choline Oxidase-Modified Glassy Carbon Electrode
将胆碱氧化酶(choline oxidase,ChOx)和辣根过氧化物酶(horseradish peroxidase,HRP)固定在以多壁碳纳米管/SnO2/壳聚糖为修饰材料修饰的玻碳电极(glassy carbon electrode,GCE)上,制备HRP/ChOx双酶GCE生物传感器.在ChOx和HRP添加量均为2.5 U、pH 7.5的条件下,双酶GCE传感器对磷脂酰胆碱(phosphatidylcholine,PC)具有明显的电化学响应,PC在10~300 mg/L范围内与还原峰电流呈线性相关,检测限为2 mg/L.利用双酶GCE传感器检测人工大豆毛油中PC的含量,各样品的加标回收率均控制在90%~110%之间,相对标准偏差都小于4.68%,与高效液相色谱法检测结果相关系数r=0.992 9,相关性较好.保存14 d后双酶GCE传感器电流仍为初始电流的98%,说明双酶GCE传感器检测人工大豆毛油中PC含量的稳定性良好,本研究可为植物油脂精炼快速检控提供理论支撑.
A biosensor for the determination of phosphatidylcholine(PC)in artificial crude soybean oil was fabricated by immobilizing horseradish peroxidase(HRP)and choline oxidase(ChOx)onto on a glassy carbon electrode(GCE)modified with multi-walled carbon nanotube(MWCNTs),SnO2 and chitosan(CS).Under the conditions of ChOx and HRP addition each at 2.5 U and pH 7.5,the sensor showed significant electrochemical response to PC.PC concentrations in the range of 10-300 mg/L were linearly correlated with the peak current,and the detection limit was 2 mg/L.Recoveries for spiked samples ranged from 90%to 110%with relative standard deviations(RSDs)less than 4.68%.Good correlation was observed between the results of the biosensor and those of high performance liquid chromatography(HPLC)with a correlation coefficient(r)of 0.992 9.After 14 days of storage,the sensor still retained 98%of its initial current value,indicating its good stability.This study can provide theoretical support for the rapid inspection and control of vegetable oil refining.
王东华;王旭;王宇婷;高珊;王伟宁;杨福明;于殿宇
黑龙江省绿色食品科学研究院,黑龙江 哈尔滨 150030||谢菲尔德大学工程学院,英国 谢菲尔德市 S10 2TN黑龙江省绿色食品科学研究院,黑龙江 哈尔滨 150030||东北农业大学食品学院,黑龙江 哈尔滨 150030黑龙江省绿色食品科学研究院,黑龙江 哈尔滨 150030东北农业大学食品学院,黑龙江 哈尔滨 150030
轻工业
玻碳电极生物传感器人工大豆毛油磷脂酰胆碱快速检测
glassy carbon electrodebiosensorsartificial crude soybean oilphosphatidylcholinequick detection
《食品科学》 2024 (024)
259-265 / 7
黑龙江省科研院所优秀青年项目(CZKYF2023-1-C014);哈尔滨市制造业科技创新人才项目(2023CXRCCG007)
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