• 文献标题:   Hybrid Graphene Oxide Based Plasmonic-Magnetic Multifunctional Nanoplatform for Selective Separation and Label-Free Identification of Alzheimer's Disease Biomarkers
  • 文献类型:   Article
  • 作  者:   DEMERITTE T, NELLORE BPV, KANCHANAPALLY R, SINHA SS, PRAMANIK A, CHAVVA SR, RAY PC
  • 作者关键词:   plasmonicmagnetic multifunctional nanoplatform, hybrid graphene oxide, alzheimer s disease biomarker, surface enhance raman spectrosocpy, fingerprint identification of betaamyloid tau protein
  • 出版物名称:   ACS APPLIED MATERIALS INTERFACES
  • ISSN:   1944-8244 EI 1944-8252
  • 通讯作者地址:   Jackson State Univ
  • 被引频次:   42
  • DOI:   10.1021/acsami.5b03619
  • 出版年:   2015

▎ 摘  要

Despite intense efforts, Alzheimer's disease (AD) is one of the top public health crisis for society even at 21st century. Since presently there is no cure for AD, early diagnosis of possible AD biomarkers is crucial for the society. Driven by the need, the current manuscript reports the development of magnetic core-plasmonic shell nanoparticle attached hybrid graphene oxide based multifunctional nanoplatform which has the capability for highly selective separation of AD biomarkers from whole blood sample, followed by label-free surface enhanced Raman spectroscopy (SEES) identification in femto gram level. Experimental ELISA data show that antibody-conjugated nanoplatform has the capability to capture more than 98% AD biomarkers from the whole blood sample. Reported result shows that nanoplatform can be used for SEES "fingerprint" identification of beta-amyloid and tau protein after magnetic separation even at 100 fg/mL level. Experimental results indicate that very high sensitivity achieved is mainly due to the strong plasmon-coupling which generates huge amplified electromagnetic fields at the "hot spot". Experimental results with nontargeted HSA protein, which is one of the most abundant protein components in cerebrospinal fluid (CSF), show that multifunctional nanoplatform based AD biomarkers separation and identification is highly selective.