TY - JOUR
T1 - Toward a glucose biosensor based on surface-enhanced Raman scattering
AU - Shafer-Peltier, Karen E.
AU - Haynes, Christy L.
AU - Glucksberg, Matthew R.
AU - Van Duyne, Richard P.
PY - 2003/1/15
Y1 - 2003/1/15
N2 - This work presents the first step toward a glucose biosensor using surface-enhanced Raman spectroscopy (SERS). Historically, glucose has been extremely difficult to detect by SERS because it has a small normal Raman cross section and adsorbs weakly or not at all to bare silver surfaces. In this paper, we report the first systematic study of the direct detection of glucose using SERS. Glucose is partitioned into an alkanethiol monolayer adsorbed on a silver film over nanosphere (AgFON) surface and thereby, it is preconcentrated within the 0-4 nm thick zone of electromagnetic field enhancement. The experiments presented herein utilize leave-one-out partial least-squares (LOO-PLS) analysis to demonstrate quantitative glucose detection both over a large (0-250 mM) and clinically relevant (0-25 mM) concentration range. The root-mean-squared error of prediction (RMSEP) of 1.8 mM (33.1 mg/dL) in the clinical study is near that desired for medical applications (1 mM, 18 mg/dL). Future studies will advance toward true in vivo, real time, minimally invasive sensing.
AB - This work presents the first step toward a glucose biosensor using surface-enhanced Raman spectroscopy (SERS). Historically, glucose has been extremely difficult to detect by SERS because it has a small normal Raman cross section and adsorbs weakly or not at all to bare silver surfaces. In this paper, we report the first systematic study of the direct detection of glucose using SERS. Glucose is partitioned into an alkanethiol monolayer adsorbed on a silver film over nanosphere (AgFON) surface and thereby, it is preconcentrated within the 0-4 nm thick zone of electromagnetic field enhancement. The experiments presented herein utilize leave-one-out partial least-squares (LOO-PLS) analysis to demonstrate quantitative glucose detection both over a large (0-250 mM) and clinically relevant (0-25 mM) concentration range. The root-mean-squared error of prediction (RMSEP) of 1.8 mM (33.1 mg/dL) in the clinical study is near that desired for medical applications (1 mM, 18 mg/dL). Future studies will advance toward true in vivo, real time, minimally invasive sensing.
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U2 - 10.1021/ja028255v
DO - 10.1021/ja028255v
M3 - Article
C2 - 12517176
AN - SCOPUS:0037438684
SN - 0002-7863
VL - 125
SP - 588
EP - 593
JO - Journal of the American Chemical Society
JF - Journal of the American Chemical Society
IS - 2
ER -