Dielectrophoresis-based dynamic SERS nanoelement for classification and analysis of metabolites

1 . A metabolite analysis method using a dielectrophoresis-based dynamic Surface-Enhanced Raman Spectroscopy (SERS) nanoelement, the metabolite analysis method comprising:

preparing a dynamic SERS nanoelement in which a surface area is formed as a metal nanowire array having a plurality of areas with different numbers of layers, distances or thicknesses of nanowires;

applying a voltage to the dynamic SERS nanoelement; and

selectively absorbing metabolites of a subject to be analyzed for each area by controlling a polarity of the dynamic SERS nanoelement according to the voltage applied;

wherein selectively absorbing the metabolites for each area comprises separating and measuring the metabolites at trace concentrations through amplification of an optical Raman signal, an amplification ratio of the dynamic SERS nanoelement being 10 5 or more; and

wherein the dynamic SERS nanoelement is manufactured through a continuous two-stage solvent-vapor-injection nano-transfer printing (S-nTP) process.

2 . The metabolite analysis method of claim 1 , further comprising:

measuring and analyzing a SERS signal of the selectively absorbed metabolites for each area.

3 . The metabolite analysis method of claim 1 , wherein the preparing of the dynamic SERS nanoelement comprises:

transferring a first layer of the metal nanowire array to a substrate; and

printing a second layer of the metal nanowire array on the first layer at a predetermined alignment angle,

wherein the metal nanowire array forms a multi-stacked three-dimensional (3D) cross-wire nanostructure by forming the plurality of layers through continuous printing.

4 . The metabolite analysis method of claim 1 , wherein preparing the dynamic SERS nanoelement comprises adjusting the number of layers of the metal nanowire array through a fusion of KrF lithography and nano transfer printing for the plurality of areas of the array.

5 . The metabolite analysis method of claim 1 , further comprising amplifying the optical Raman signal of the metabolite by adjusting a distance between and a thickness of metal nanowires of the metal nanowire array and transferring the metal nanowire array onto an arbitrary surface in a predetermined size, for the plurality of areas of the array.

6 . The metabolite analysis method of claim 1 , wherein selectively absorbing the metabolites for each area comprises selectively adsorbing metabolites in urine that is the subject to be analyzed on the dynamic SERS nanoelement for each area.

7 . The metabolite analysis method of claim 1 , wherein selectively absorbing the metabolites for each area comprises selectively adsorbing metabolites having a different polarity for each area by applying the voltage to a surface of a plasmonic structure.

8 . A dielectrophoresis-based dynamic Surface-Enhanced Raman Spectroscopy (SERS) nanoelement comprising:

a surface portion in which a surface area is formed as a metal nanowire array having a plurality of areas with different numbers of layers, distances, or thicknesses of nanowires,

wherein, in response to a voltage being applied to the dynamic SERS nanoelement, metabolites of a subject to be analyzed are selectively absorbed for each area by controlling a polarity of the dynamic SERS nanoelement;

wherein the surface portion of the dynamic SERS nanoelement is capable of separating and measuring trace concentrations of the metabolite through amplification of an optical Raman signal, an amplification ratio of the dynamic SERS nanoelement being 10 5 or more; and

wherein the dynamic SERS nanoelement is manufactured through a continuous two-stage solvent-vapor-injection nano-transfer printing (S-nTP) process.

9 . The dynamic SERS nanoelement of claim 8 , wherein a SERS signal is measured and analyzed of the selectively absorbed metabolites for each area.

10 . The dynamic SERS nanoelement of claim 8 , wherein, in the dynamic SERS nanoelement, a first layer of the metal nanowire array is transferred to a substrate, and a second layer of the metal nanowire array is printed on the first layer at a predetermined alignment angle, and the metal nanowire array forms a multi-stacked three-dimensional (3D) cross-wire nanostructure by forming the plurality of layers through continuous printing.

11 . The dynamic SERS nanoelement of claim 8 , wherein the dynamic SERS nanoelement is prepared by adjusting the number of the layers of the metal nanowire array through a fusion of KrF lithography and nano transfer printing for the plurality of areas of the array.

12 . The dynamic SERS nanoelement of claim 8 , wherein the surface portion of the dynamic SERS nanoelement is configured to amplify the optical Raman signal of the metabolite when a distance between and a thickness of metal nanowires of the metal nanowire array are adjusted and transferred onto an arbitrary surface in a predetermined size, for the plurality of areas of the array.

13 . The dynamic SERS nanoelement of claim 8 , wherein the surface portion of the dynamic SERS nanoelement is configured to selectively adsorb metabolites in urine that is the subject to be analyzed on the dynamic SERS nanoelement.

14 . The dynamic SERS nanoelement of claim 8 , wherein the surface portion of the dynamic SERS nanoelement is configured to selectively adsorb metabolites having a different polarity for each area by applying the voltage to a surface of a plasmonic structure.

15 . The metabolite analysis method of claim 1 , wherein the voltage is between −10 V and +10 V.

16 . The dynamic SERS nanoelement of claim 8 , wherein the voltage is between −10 V and +10 V.

17 . The metabolite analysis method of claim 1 , wherein the method further comprises a dielectrophoretic separation method of the metabolites using an electrode designed to maximize an electric field in the dynamic SERS nanoelement performed by micro semiconductor process technology.

18 . The dynamic SERS nanoelement of claim 8 , wherein the dynamic SERS nanoelement uses an electrode designed to maximize an electric field in the dynamic SERS nanoelement performed by micro semiconductor process technology.

19 . The metabolite analysis method of claim 6 , wherein urine sample-based diagnosis specificity and sensitivity for pancreatic cancer and lung cancer are 90% or more.

20 . The dynamic SERS nanoelement of claim 13 , wherein urine sample-based diagnosis specificity and sensitivity for pancreatic cancer and lung cancer are 90% or more.