Preparation of Graphene Quantum Dots by Visible-Fenton Reaction and Ultrasensitive Label-Free Immunosensor for Detecting Lipovitellin of Paralichthys Olivaceus.
Preparation of Graphene Quantum Dots by Visible-Fenton Reaction and Ultrasensitive Label-Free Immunosensor for Detecting Lipovitellin of Paralichthys Olivaceus.
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可见光芬顿反应制备石墨烯量子点及超灵敏无标记免疫传感器检测牙鲆脂蛋白
DOI:
10.3390/bios12040246
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发表时间:
2022-04-15
期刊:
影响因子:
5.4
通讯作者:
Wang, Jun
中科院分区:
文献类型:
--
作者:
Yang, Ailing;Su, Yue;Zhang, Zhenzhong;Wang, Huaidong;Qi, Chong;Ru, Shaoguo;Wang, Jun
关键词:
The increasing levels of environmental estrogens are causing negative effects on water, soil, wildlife, and human beings; label-free immunosensors with high specificities and sensitivities are being developed to test estrogeneous chemicals in complex environmental conditions. For the first time, highly fluorescent graphene quantum dots (GQDs) were prepared using a visible-Fenton catalysis reaction with graphene oxide (GO) as a precursor. Different microscopy and spectroscopy techniques were employed to characterize the physical and chemical properties of the GQDs. Based on the fluorescence resonance energy transfer (FRET) between amino-functionalized GQDs conjugated with anti-lipovitellin monoclonal antibodies (Anti-Lv-mAb) and reduced graphene oxide (rGO), an ultrasensitive fluorescent “ON-OFF” label-free immunosensor for the detection of lipovitellin (Lv), a sensitive biomarker derived from Paralichthys olivaceus for environmental estrogen, has been established. The immunosensor has a wide linear test range (0.001–1500 ng/mL), a lower limit of detection (LOD, 0.9 pg/mL), excellent sensitivity (26,407.8 CPS/(ng/mL)), and high selectivity and reproducibility for Lv quantification. The results demonstrated that the visible-Fenton is a simple, mild, green, efficient, and general approach to fabricating GQDs, and the fluorescent “ON-OFF” immunosensor is an easy-to-use, time-saving, ultrasensitive, and accurate detection method for weak estrogenic activity.
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影响因子:
8.4
作者:
Adanyi, Nora;Majer-Baranyi, Krisztina;Szekacs, Andras
通讯作者:
Szekacs, Andras
DOI:
10.3390/s18124124
发表时间:
2018-11-24
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
作者:
Felix FS;Baccaro ALB;Angnes L
通讯作者:
Angnes L
影响因子:
9.5
作者:
Kunwar, Sundar;Pandit, Sanchaya;Lee, Jihoon
通讯作者:
Lee, Jihoon
DOI:
10.1016/s1532-0456(01)00194-6
发表时间:
2001-07-01
影响因子:
3.9
作者:
Fenske, M;van Aerle, R;Segner, H
通讯作者:
Segner, H
影响因子:
4.1
作者:
Kumar, Navneet;Srivastava, Vimal Chandra
通讯作者:
Srivastava, Vimal Chandra