TY - JOUR
T1 - Internally coupled concave nanobox@quantum dots nanoassemblies for SERS/fluorescence/colorimetric trimodal detection of prognostic biomarker in acute ischemic stroke
AU - Wang, Wei Bin
AU - Li, Jian Jun
AU - Fan, Lin Lin
AU - Wang, Jing Yuan
AU - Weng, Guo Jun
AU - Zhu, Jian
AU - Zhao, Jun Wu
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/11/1
Y1 - 2025/11/1
N2 - Herein, the concave nanobox@quantum dots (CNB@QD) nanoassemblies were developed for the SERS/fluorescence/colorimetric trimodal detection of the prognostic biomarker neuron-specific enolase (NSE) in acute ischemic stroke (AIS). The Au-core AuAg concave nanoboxes (Au@AuAgCNB) with internal gaps were fabricated by selective etching and deposition. The concave curvature, core size, edge length, wall thickness, and hollowness of Au@AuAgCNB were regulated to improve the surface-enhanced Raman scattering (SERS) performance of Au@AuAgCNB with an enhancement factor of 8.01 × 107. The CdSe/ZnS quantum dots (QD) were electrostatically assembled to Au@AuAgCNB mediated by polyethylenimine (PEI) to acquire CNB@QD. CNB@QD simultaneously provides SERS, fluorescence, and colorimetric signals. Because of the electrostatic shielding and physical isolation of PEI, CNB@QD exhibited excellent non-interference between signals, optical stability, and biocompatibility. Moreover, the fluorescence and color intensity of the CNB@QD were optimized by tuning the PEI thickness and QD density. Notably, the color intensity of the CNB@QD could be observed with the naked eye or quantified with the smartphone App Color Picker for point-of-care testing (POCT). CNB@QD and magnetic beads (MB) were antibody-modified for trimodal detection of NSE. During testing, as the NSE concentration increased, MB bound more CNB@QD, and its SERS, fluorescence, and color intensity also increased. The trimodal detecting platform demonstrated outstanding ultra-sensitivity, specificity, accuracy, and convenience. Besides, clinical detection results indicated the prognostic predictive potential of the detection platform for AIS.
AB - Herein, the concave nanobox@quantum dots (CNB@QD) nanoassemblies were developed for the SERS/fluorescence/colorimetric trimodal detection of the prognostic biomarker neuron-specific enolase (NSE) in acute ischemic stroke (AIS). The Au-core AuAg concave nanoboxes (Au@AuAgCNB) with internal gaps were fabricated by selective etching and deposition. The concave curvature, core size, edge length, wall thickness, and hollowness of Au@AuAgCNB were regulated to improve the surface-enhanced Raman scattering (SERS) performance of Au@AuAgCNB with an enhancement factor of 8.01 × 107. The CdSe/ZnS quantum dots (QD) were electrostatically assembled to Au@AuAgCNB mediated by polyethylenimine (PEI) to acquire CNB@QD. CNB@QD simultaneously provides SERS, fluorescence, and colorimetric signals. Because of the electrostatic shielding and physical isolation of PEI, CNB@QD exhibited excellent non-interference between signals, optical stability, and biocompatibility. Moreover, the fluorescence and color intensity of the CNB@QD were optimized by tuning the PEI thickness and QD density. Notably, the color intensity of the CNB@QD could be observed with the naked eye or quantified with the smartphone App Color Picker for point-of-care testing (POCT). CNB@QD and magnetic beads (MB) were antibody-modified for trimodal detection of NSE. During testing, as the NSE concentration increased, MB bound more CNB@QD, and its SERS, fluorescence, and color intensity also increased. The trimodal detecting platform demonstrated outstanding ultra-sensitivity, specificity, accuracy, and convenience. Besides, clinical detection results indicated the prognostic predictive potential of the detection platform for AIS.
KW - Concave nanobox
KW - Neuron-specific enolase
KW - Surface-enhanced Raman scattering
KW - Trimodal detection
UR - https://www.scopus.com/pages/publications/105015774475
U2 - 10.1016/j.cej.2025.168317
DO - 10.1016/j.cej.2025.168317
M3 - 文章
AN - SCOPUS:105015774475
SN - 1385-8947
VL - 523
JO - Chemical Engineering Journal
JF - Chemical Engineering Journal
M1 - 168317
ER -