IP Library Granted Patent US 12,663,361
Granted Patent B2
US 12,663,361 · App. 18/037,398 · Granted Jun 23, 2026

Hyperuniform-structured profiling system

Inventors: Zhenya Ding (Lubbock, TX); Wei Li (Lubbock, TX)
Assignee: TEXAS TECH UNIVERSITY SYSTEM
G01N15/1484B01L3/502715G01N15/1434B01L2200/0652B01L2300/12B01L2400/086G01N15/01G01N2015/1006
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Quick Facts
Patent No.
US 12,663,361
App. No.
18/037,398
Granted
Jun 23, 2026
Kind
B2
Abstract

A a hyperuniform-structured microchip is configured for providing viable resolution of CTC subpopulations supporting the ability to determine whether there is a correlation between CTC heterogeneity and tumor progression, the microchip including a substrate, a microfluidic enclosure around the substrate, and a plurality of microposts configured on the substrate in a hyperuniform pattern.

Claims (95)

1 . A system comprising:

a substrate comprising:

a nanostructured layer comprising a silicon dioxide nanoparticle layer with a size of 5-200 nm; and

positively-charged polymers;

a microfluidic enclosure around the substrate; and

a plurality of microposts configured on the substrate in a hyperuniform pattern.

2 . The system of claim 1 wherein the plurality of microposts comprises at least one of:

columns;

squares; and

triangles.

3 . The system of claim 1 wherein the hyperuniform pattern further comprises multiple zones with different hyperuniform patterns.

4 . The system of claim 1 further comprising:

a fluidic input to the microfluidic enclosure configured to accept cells; and

a fluidic output from the microfluidic enclosure configured to accept cells.

5 . The system of claim 1 wherein the substrate and the microfluidic enclosure are configured of at least one of:

Polydimethylsiloxane;

Polyethylene;

Polycarbonate;

Cyclo-olefin copolymer; and

Polylactic acid.

6 . The system of claim 1 wherein the positively-charged polymers comprise at least one of:

a poly-L-arginine layer;

a poly(allylamine hydrochloride) layer;

a Poly-L-lysine layer;

a low molecular weight chitosan layer; and

a Diethylaminoethyl Dextran.

7 . The system of claim 1 further comprising:

a surface coating applied to the substrate and the plurality of microposts comprising:

negatively-charged polymers; and

positively-charged polymers.

8 . The system of claim 7 wherein the negatively-charged polymers comprises at least one of:

biotinylated alginate;

Alginate; and

Hyaluronic acid.

9 . The system of claim 7 wherein the positively-charged polymers comprise at least one of:

poly-L-arginine;

a poly(allylamine hydrochloride) layer;

a Poly-L-lysine layer;

a low molecular weight chitosan layer; and

a Diethylaminoethyl Dextran.

10 . The system of claim 7 wherein the surface coating further comprise:

at least one antibody that targets an antigen overexpressed on cancer cells.

11 . The system of claim 10 wherein the antibody comprises at least one of:

an Anti-EpCAM;

an Anti-HER2;

an Anti-EGFR; and

a surface antigen on a cell surface, comprising one of:

Anti-CD4; and

Anti-CD8.

12 . The system of claim 1 further comprising:

an imaging device, the imaging device configured to capture image data of flow patterns of fluid and cell movement in the microfluidic enclosure.

13 . The system of claim 12 wherein the imaging device comprises at least one of:

a camera;

a video camera; and

a microscope.

14 . The system of claim 13 further comprising:

a computer system, said computer system comprising:

at least one processor; and

a computer-usable medium embodying computer program code, the computer-usable medium capable of communicating with the at least one processor, the computer program code comprising instructions executable by the at least one processor and configured for:

accepting input of the image data from the image device;

determining flow rate data associated with cell flow through the microfluidic enclosure; and

identifying at least one cell type according to the flow rate data.

15 . A method for cell identification comprising:

introducing a cell sample to a microchip comprising a hyperuniform configuration of microposts;

capturing flow rates of the cell sample at least one location on the microchip;

integrating images of the microchip to identify a flow field in the microchip;

determining an adhesion force of at least one cell in the cell sample according to the captured flow rate;

identifying locations on the microchip for capture certain types of cells based on cell-surface interaction; and

identifying the at least one cell in the cell sample according to the determined adhesion force.

16 . The method of claim 15 wherein the microchip further comprises:

a substrate;

a microfluidic enclosure around the substrate;

a fluidic input to the microfluidic enclosure configured to accept cells; and

a fluidic output from the microfluidic enclosure configured to accept cells.

17 . The method of claim 16 further comprising:

applying a surface coating to the substrate and the plurality of microposts comprising:

biotinylated alginate;

Alginate;

Hyaluronic acid;

a poly-L-arginine layer;

a poly(allylamine hydrochloride) layer;

a Poly-L-lysine layer;

a low molecular weight chitosan layer; and

a Diethylaminoethyl Dextran.

18 . A microchip test system comprising:

a substrate;

a microfluidic enclosure around the substrate;

a plurality of microposts configured on the substrate in a hyperuniform pattern;

an imaging device, the imaging device configured to capture image data of flow patterns of fluid and cell movement in the microfluidic enclosure; and

a computer system, said computer system comprising:

at least one processor; and

a computer-usable medium embodying computer program code, the computer-usable medium capable of communicating with the at least one processor, the computer program code comprising instructions executable by the at least one processor and configured for:

accepting input of the image data from the imaging device;

determining flow rate data associated with cell flow through the microfluidic device; and

identifying at least one cell type according to the flow rate data.