Frequency Shift Raman-Based Sensing of Serum MicroRNAs for Early Diagnosis and Discrimination of Primary Liver Cancers

Wen Feng Zhu, Lin Xiu Cheng, Min Li, Duo Zuo, Ning Zhang, Hong Jun Zhuang, Dan Xie, Qing Dao Zeng, James A. Hutchison, Yu Liang Zhao

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

Frequency shift surface-enhanced Raman scattering (SERS) achieves multiplex microRNA sensing for early serological diagnosis of, and discrimination between, primary liver cancers in a patient cohort for whom only biopsy is effective clinically. Raman reporters microprinted on plasmonic substrates shift their vibrational frequencies upon biomarker binding with a dynamic range allowing direct, multiplex assay of serum microRNAs and the current best protein biomarker, α-fetoprotein. Benchmarking against current gold-standard polymerase chain reaction and chemiluminescence methods validates the assay. The work further establishes the frequency shift approach, sensing shifts in an intense SERS band, as a viable alternative to conventional SERS sensing which involves the more difficult task of resolving a peak above noise at ultralow analyte concentrations.

Original languageEnglish (US)
Pages (from-to)10144-10151
Number of pages8
JournalAnalytical Chemistry
Volume90
Issue number17
DOIs
StatePublished - Sep 4 2018

ASJC Scopus subject areas

  • Analytical Chemistry

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