A high-performance voltammetric methodology for the ultra-sensitive detection of riboflavin in food matrices based on graphene oxide-covered hollow MnO2 spheres
文献类型: 外文期刊
第一作者: Zhang, Lijun
作者: Zhang, Lijun;Liu, Xian;Luo, Luyu;Chang, Xueping;Gan, Tian;Zhang, Lijun;Liu, Xian;Luo, Luyu;Chang, Xueping;Gan, Tian;Hu, Cong;Gan, Tian;Gan, Tian;Zhang, Lijun;Fu, Jianwei;Gan, Tian
作者机构:
关键词: Riboflavin; Voltammetry; Modified electrode; Graphene oxide; Hollow MnO2 spheres; Food analysis
期刊名称:FOOD CHEMISTRY ( 影响因子:6.306; 五年影响因子:6.219 )
ISSN: 0308-8146
年卷期: 2021 年 352 卷
页码:
收录情况: SCI
摘要: A high-performance voltammetric methodology was developed to achieve ultra-sensitive detection of riboflavin, employing an electrode modified by graphene oxide-covered hollow MnO2 spheres nanocomposite with high catalytic activity, large surface area, and hierarchical layered structure. Under the optimal conditions, the current responses of the oxidation peak located at -0.39 V showed a good linear relationship versus the concentration of riboflavin in the range of 1.0 nM-4.0 mu M in acetate buffer (pH 5.4). The limit of detection was determined as 0.26 nM. Moreover, the proposed electrode exhibited high reproducibility (relative standard deviation of 1.7%, n = 10) and excellent stability (97.6% sensitivity within two months), which has been successfully applied to the quantification of riboflavin in complicated food matrices, with results in good accordance with those obtained by chromatography as a reference method, indicating it is an effective sensing platform for ultra-sensitive determination of riboflavin in practical applications.
分类号:
- 相关文献
作者其他论文 更多>>
-
Overexpressing mannose-binding Lectin (NTL) protein affects sugarcane physiological status and increase its resistance to aphids (Ceratovacuna langigera)
作者:Zhang, Lijun;Li, Guomeng;Li, Shiying;Zhou, Yuming;Zhao, Mengyu;Su, Liangyinan;Yang, Xiping;Zhao, Yang;Liu, Xinlong;Liu, Xinlong
关键词:Sugarcane; Aphids; NTL gene; Resistance; Sugar; Amino acids
-
The Preparation, Properties, and Characterization of Octenyl Succinic Anhydride-Modified Turmeric Starches and Their Emulsification for Pickering Emulsions
作者:Fu, Lijuan;Chi, Hongfei;Wei, Hang;Huang, Biao;Qiang, Yueyue;Shi, Mengzhu;Fang, Ling;Fu, Jianwei;Fu, Lijuan;Chi, Hongfei;Qiang, Yueyue;Fu, Jianwei
关键词:turmeric starches; OSA-modified turmeric starches; degree of substitution; Pickering emulsions
-
The CNV map construction and ROH analysis of Pinan cattle
作者:Song, Xingya;Xing, Shengyan;Zhang, Yuqiao;Wang, Jiamei;Lei, Chuzhao;Huang, Yongzhen;Zhang, Zijing;Lyu, Shijie;Wang, Xiangnan;Wang, Eryao;Liu, Xian;Qi, Xingshan;Ma, Weidong
关键词:Pinan cattle; Copy number variation; Runs of homozygosity; Genetic structure; Inbreeding degree; Seletion analysis
-
Enhanced C2H2/CO2 separation in tetranuclear Cu(II) cluster-based metal-organic frameworks by adjusting divider length of pore space partition
作者:Xiang, Fahui;Li, Lu;Yuan, Zhen;Wei, Wuji;Zheng, Xiaoqing;Chen, Shimin;Yang, Yisi;Chen, Liangji;Yao, Zizhu;Zhang, Zhangjing;Xiang, Shengchang;Xiang, Fahui;Fu, Jianwei
关键词:Metal-organic frameworks; Dual functionalities; Pore space partition; Divider length adjustment
-
Impact of Virus-Mediated Modifications in Bacterial Communities on the Accumulation of Soil Organic Carbon
作者:Liu, Mingfeng;Zhou, Guixiang;Zhang, Congzhi;Chen, Lin;Ma, Donghao;Zhang, Lijun;Zhang, Jiabao;Jia, Chunhua;Ma, Ling;Zhang, Lijun
关键词:auxiliary metabolic genes; carbon cycling; lifestyle; soil virus; virus-host interactions
-
Spatiotemporal dynamics of vegetation net primary productivity in Chinese ecological function conservation areas: The influences of climate and topography
作者:Liu, Xian;Li, Hengkai;Zhou, Yanbing;Wang, Xiuli
关键词:Chinese Ecological Function Conservation; Areas; Spatiotemporal evolution; GeoDetector; Driving factors; Ecological conservation recommendations
-
YOLOPears: a novel benchmark of YOLO object detectors for multi-class pear surface defect detection in quality grading systems
作者:Chen, Junsheng;Fu, Haoxuan;Lin, Chuhan;Wang, Lijin;Lin, Yaohua;Chen, Junsheng;Fu, Haoxuan;Lin, Chuhan;Wang, Lijin;Lin, Yaohua;Liu, Xian
关键词:pear; dataset; pear surface defect detection; smart agriculture; deep learning; computer vision