Journal
ACS NANO
Volume 12, Issue 7, Pages 7100-7108Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsnano.8b02917
Keywords
SERS; cellulose paper; ZnO NR array; AuNPs; amniotic fluid
Categories
Funding
- National Research Foundation of Korea [2017R1A2B4002765, 2017R1D1A1B03031412]
- Ministry of Health & Welfare, Republic of Korea [HI14C2241]
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We report the development of a surface-enhanced Raman spectroscopy sensor chip by decorating gold nanoparticles (AuNPs) on ZnO nanorod (ZnO NR) arrays vertically grown on cellulose paper (C). We show that these chips can enhance the Raman signal by 1.25 X 10(7) with an excellent reproducibility of <6%. We show that we can measure trace amounts of human amniotic fluids of patients with subclinical intra-amniotic infection (IAI) and preterm delivery (PTD) using the chip in combination with a multivariate statistics-derived machine learning-trained bioclassification method. We can detect the presence of prenatal diseases and identify the types of diseases from amniotic fluids with >92% clinical sensitivity and specificity. Our technology has the potential to be used for the early detection of prenatal diseases and can be adapted for point-of-care applications.
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