Dual-signal sandwich electrochemical immunosensor for amyloid β-protein detection based on Cu-Al 2 O 3 -g-C 3 N 4 -Pd and UiO-66@PANI-MB
Combining of amperometric and square wave voltammetric methods (SWV), the dual-signal sandwich electrochemical immunosensor was developed for quantitative determination of amyloid β-protein (Aβ). Cu was doped into Al O lattice (Cu-Al O ) and reacts with graphite carbon nitride (g-C N ) to generate C...
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Veröffentlicht in: | Analytica chimica acta 2019-12, Vol.1089, p.48 |
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Sprache: | eng |
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Zusammenfassung: | Combining of amperometric and square wave voltammetric methods (SWV), the dual-signal sandwich electrochemical immunosensor was developed for quantitative determination of amyloid β-protein (Aβ). Cu was doped into Al
O
lattice (Cu-Al
O
) and reacts with graphite carbon nitride (g-C
N
) to generate Cu-Al
O
-g-C
N
with internal dual-reaction center structure, which has good catalytic properties of hydrogen peroxide (H
O
). Subsequently, palladium nanoparticles (Pd NPs) was introduced into Cu-Al
O
-g-C
N
(Cu-Al
O
-g-C
N
-Pd) that not only synergistically catalyzed H
O
but also immobilized anti-Aβ (Ab
) via Pd-NH
. The Cu-Al
O
-g-C
N
-Pd was used as matrix material to modify the electrode, which can produce obviously electrochemical signals through Amperometry i-t curve. Meanwhile, the Zr
O
(OH)
(CO
)
(UiO-66) modified with polyaniline (PANI) has the large specific surface, good conductivity and adsorption capacity, which can support methylene blue (MB) as signal label of anti-Aβ (Ab
). Therefore, the UiO-66@PANI-MB can provide an obviously electrochemical signal about MB through SWV. Under optimal conditions, the dual-signal sandwich electrochemical immunosensor has salient analytical performance and both signal platforms provide more accurate results. The linear range of detection obtained by the immunosensor was 10 fg/mL-100 ng/mL, and the detection limit was 3.3 fg/mL. This method not only provided a reliable guarantee for the experimental detection but also provided an effective strategy for the detection of other biological. |
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ISSN: | 1873-4324 |