Detection of Heavy Metals by Graphene-modified Enzyme Liposome Biosensor

GUAN Huanan; PENG Bo; XUE Yue; WU Qiaoyan; SUN Lu; CHI Defu; ZHANG Na

doi:10.13386/j.issn1002-0306.2020030299

Volume 42 Issue 6

Mar. 2021

Turn off MathJax

Article Contents

Abstract

References

Science and Technology of Food Industry > 2021 > 42(6): 247-251. > DOI: 10.13386/j.issn1002-0306.2020030299

GUAN Huanan, PENG Bo, XUE Yue, WU Qiaoyan, SUN Lu, CHI Defu, ZHANG Na. Detection of Heavy Metals by Graphene-modified Enzyme Liposome Biosensor[J]. Science and Technology of Food Industry, 2021, 42(6): 247-251. DOI: 10.13386/j.issn1002-0306.2020030299

Citation:

PDF (1176 KB)

Detection of Heavy Metals by Graphene-modified Enzyme Liposome Biosensor

1. College of Food Engineering, Harbin University of Commerce, Harbin 150076, China;
2. College of Forestry, Northeast Forestry University, Harbin 150040, China

More Information

Received Date: March 23, 2020
Available Online: March 15, 2021

Graphical Abstract

Abstract

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.
- heavy metal ion,
- graphene,
- liposome,
- biosensor,
- food safety

FullText(HTML)

References (32)

References

[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.

Supplements (0)

Cited By

Cited by

Periodical cited type(2)

1.	孙冰玉，郭汝杞，刘琳琳，黄雨洋，吕铭守，高远，朱秀清. 高压均质对大豆蛋白乳液性质影响的研究进展. 食品工业科技. 2023(01): 465-474 . 本站查看
2.	王金鸽，蔡勇建，刘俊梅，赵强忠. 均质联合酶解对大豆蛋白纳米颗粒结构与功能特性的影响. 食品工业科技. 2023(13): 85-93 . 本站查看