Detection of Heavy Metals by Graphene-modified Enzyme Liposome Biosensor
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摘要: 通过自组装技术将葡萄糖氧化酶脂质体与纳米石墨烯共修饰于玻碳电极表面,制备出新型葡萄糖氧化酶电化学生物传感器,并利用其构建重金属残留检测体系。结果表明,经超声处理的石墨烯片层较薄,厚度在5 nm左右;以Hg2+和Cu2+作为重金属模型,分别在0.15和0.20 V时出现氧化峰电流,且不同浓度下峰电流未发生偏移;Hg2+在10-10~10-5和10-5~10-2 mmol/L浓度范围内,工作曲线方程分别为I (%)=0.0244 lgC+0.3543和I (%)=0.1552 lgC+1.0219,决定系数R2分别为0.9747和0.9937,检测限分别为10.97和3.60 ng/mL;Cu2+在10-10~10-2 mmol/L浓度范围内,工作曲线方程为I (%)=0.0406 lgC+0.8582,相关系数R2为0.9885,检出限为87.70 ng/mL,说明该检测方法灵敏度高。回收率试验结果显示所建立的检测方法对检测重金属具有较高的准确度,且精密度高,具有很好的应用前景。Abstract: A novel glucose oxidase electrochemical biosensor was prepared by co-modifying glucose oxidase liposomes and nanographene on the surface of a glassy carbon electrode through self-assembly technology, and using it to construct a heavy metal residue detection system. The results showed that the ultrasonically processed graphene sheets were thinner and had a thickness of about 5 nm. Hg2+ and Cu2+ were used as models respectively. Hg2+ and Cu2+ showed oxidation peak currents at 0.15 and 0.20 V, respectively, and the peak current does not shift at different concentrations. In a certain linear range, the inhibition rate had a good linear relationship with ion concentration: Hg2+ was in the range of 10-10~10-5 and 10-5~10-2 mmol/L, the equations were I%=(0.0244 lgC+0.3543)% and I%=(0.1552 lgC+1.0219)%, the coefficient of determination R2 value were 0.9747 and 0.9937, and the detection limits were 10.97 ng/mL and 3.60 ng/mL, respectively;the fitting equation for Cu2+ at 10-10~10-2 mmol/L was I%=(0.0406 lgC+0.8582)%, the coefficient of determination R2 value was 0.9885 and the detection limit was 87.70 ng/mL, which indicated that the detection method had high sensitivity. The recovery test results shows that the established detection method has high accuracy and high precision for the detection of heavy metals, and has a good application prospect.
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Keywords:
- heavy metal ion /
- graphene /
- liposome /
- biosensor /
- food safety
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[1] 吴万豪,方垚,罗登旺,等.近红外荧光探针在细胞与生命体中对重金属离子检测的研究进展[J].广东化工,2019,46(12):73-75. [2] Rigo A A,Cezaro A M D,Muenchen D K,et al. Heavy metals detection in river water with cantilever nanobiosensor[J]. Journal of Environmental ence and Health. Part B,Pesticides,Food Contaminants and Agricultural Wastes,2020,55(1/3):239-249.
[3] 靳雪雪,袁翔宇,邢常瑞,等.新型重金属快速检测方法研究[J].粮食科技与经济,2018,43(12):47-51. [4] 吴天舒,王晓明,宫婉婷.原子吸收光谱法在食品重金属检测中的应用初探[J].食品安全导刊,2019(27):94. [5] 刘慧堂,伍丽珍,陈均洪,等.电感耦合等离子体质谱法测定薄膜包衣粉中的总砷含量[J].食品安全质量检测学报,2020,11(23):8658-8661. [6] Wang J J,Wang J L,Zhou P,et al. Oligonucleotide-induced regulation of the oxidase-mimicking activity of octahedral Mn3O4 nanoparticles for colorimetric detection of heavy metals[J]. Mikrochimica Acta,2020,187(2):99.
[7] 杨文平,吴远根.基于Fe3O4过氧化物酶活性的Cd2+和Pb2+比色传感器[J].生物技术进展,2019,9(6):611-619. [8] Mei M,Pang J L,Huang X J,et al. Magnetism-reinforced in-tube solid phase microextraction for the online determination of trace heavy metal ions in complex samples[J].Analytica Chimica Acta,2019,1090:82-90.
[9] 汤琳,曾光明,沈国励,等.基于抑制作用的新型葡萄糖氧化酶传感器测定环境污染物汞离子的研究[J].分析科学学报,2005,21(2):123-126. [10] 贺丽.浅析多种分析方法在水环境中重金属离子检测中的应用[J].产业与科技论坛,2019,18(6):74-75. [11] Yao S C,Zhang L F,Zhu Y M,et al. Evaluation of heavy metal element detection in municipal solid waste incineration fly ash based on LIBS sensor[J].Waste Management,2020,102:492-498.
[12] Wang L Y,Peng X L,Fu H J,et al. Recent advances in the development of electrochemical aptasensors for detection of heavy metals in food[J].Biosensors and Bioelectronics,2020,147:111777.
[13] 王蓉,孔丹丹,杨世海,等.电化学生物传感器技术在重金属快速检测领域中的研究进展[J].分析试验室,2019,38(11):1366-1373. [14] 王继阳,胡敬芳,宋钰,等.基于石墨烯的离子印迹电化学传感器在水质重金属检测中的研究进展[J].传感器世界,2019,25(12):7-16. [15] Sun P,Chen Y R,Yan M G,et al. Enhancement of QCM detection for heavy metal ions based on TGA modified CdTe nanospheres[J].Journal of Inorganic and Organometallic Polymers and Materials,2020,30(2):525-531.
[16] Zhang W,Liu C,Liu F H,et al. A smart-phone-based electrochemical platform with programmable solid-state-microwave flow digestion for determination of heavy metals in liquid food[J].Food Chemistry,2020,303:125378.
[17] Wen J,Fang Y,Zeng G M.Progress and prospect of adsorptive removal of heavy metal ions from aqueous solution using metal-organic frameworks:A review of studies from the last decade[J].Chemosphere,2018,201:627-643.
[18] Zou Y D,Wang X X,Khan A,et al. Environmental remediation and application of nanoscale zero-valent iron and its composites for the removal of heavy metal ions:A review[J].Environmental Science & Technology,2016,50(14):7290-7304.
[19] Waqas M,Lan J J,Zhang X X,et al. Fabrication of non-enzymatic electrochemical glucose sensor based on Pd-Mn alloy nanoparticles supported on reduced graphene oxide[J]. Electroanalysis,2020,32(6):1226-1236.
[20] Liu X L,Ma R,Wang X X,et al. Graphene oxide-based materials for efficient removal of heavy metal ions from aqueous solution:A review[J].Environmental Pollution,2019,252:62-73.
[21] 许贺,潘哲伦,谢昱,等.Nafion/石墨烯量子点修饰电极对重金属和氯霉素的电化学检测[J].分析科学学报,2019,35(3):270-276. [22] Wang Q,Liu W J,Wang J J,et al. Preparation and pharmacokinetic study of daidzein long-circulating liposomes[J].Nanoscale Research Letters,2019,14(1):321.
[23] Mohamed R,Zainudin B H,Yaakob A S.Method validation and determination of heavy metals in cocoa beans and cocoa products by microwave assisted digestion technique with inductively coupled plasma mass spectrometry[J].Food Chemistry,2020,303:125392.
[24] 文艳霞,侯祖洋.大豆磷脂脂质体制备的工艺研究[J].广州化工,2019,47(18):71-72 ,126.
[25] Villalba A,Rodriguez-Fernandez S,Ampudia R M,et al. Preclinical evaluation of antigen-specific nanotherapy based on phosphatidylserine-liposomes for type 1 diabetes[J].Artificial Cells,Nanomedicine,and Biotechnology,2020,48(1):77-83.
[26] Guan H N,Han B L,Gong D Z,et al. Fabrication of enzyme nano-biosensor based on liposome bioreactor for rapid detection of dichlorvos[J]. Food Science,2019,40(8):280-286.
[27] 逯娟.石墨烯的制备方法及其应用领域的研究进展[J]. 能源与环保,2020,42(5):78-81 ,93.
[28] 关桦楠,韩博林,瑙阿敏,等.葡萄糖氧化酶脂质体的制备与表征[J].食品科学,2016,37(13):120-124. [29] 李颖,徐超,康君君,等.锰/铁掺杂石墨烯复合材料的制备及电化学性能研究[J].化工新型材料,2020,48(11):54-59. [30] 关桦楠,龚德状,韩博林,等.辣根过氧化物酶脂质体电化学生物传感器检测亚硝酸盐[J].分析试验室,2019,38(3):279-283. [31] 周正元,程昊,樊静静,等.石墨烯修饰电极用于电化学发光法测定赛庚啶的研究[J].应用化工,2020,49(6):1583-1587. [32] 付凤富.食品中农兽药残留与重金属分析研究新动态[J].食品安全质量检测学报,2020,11(15):4956-4957. -
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