Chemical/biological sensor employing scattered chromatic components in nano-patterned aperiodic surfaces

• US 8,339,597 B2
• Filed: 07/28/2011
• Issued: 12/25/2012
• Est. Priority Date: 01/30/2009
• Status: Active Grant

• Current Assignee: Trustees of Boston University, Tufts University
• Original Assignee: Trustees of Boston University
• Inventors: Dal Negro, Luca, Boriskina, Svetlana V., Omenetto, Fiorenzo
• Primary Examiner(s): LAUCHMAN, LAYLA G
• Application Number:
  US13/192,757
• Publication Number:
  US 20110285991A1
• Time in Patent Office: 516 Days
• Field of Search: 356/301
• US Class Current: 356/301
• CPC Class Codes: G01N 2021/4735 Solid samples, e.g. paper, glass
• CPC Class Codes: G01N 21/253 for batch operation, i.e. multisample apparatus analytical automats G01N35/00
• CPC Class Codes: G01N 21/4738 Diffuse reflection precedence is given to G01N21/55 - G01N21/57 if specular component is taken into consideration, e.g. also for testing fluids, fibrous materials
• CPC Class Codes: G01N 21/78 producing a change of colour

Abstract

A label-free multiplexed sensing platform is based on light interaction with aperiodic photonic structures with an advantage of a broadband operation. Multiple-scattering-induced “fingerprinting” colorimetric signatures can be used as a transduction mechanism. Aperiodic sensing platforms can operate in the infrared to provide an overlap with spectral fingerprints of biological molecules. Miniaturized optical biosensors may be based on engineered colorimetric scattering signatures (structural color), sharp spectral features, non-uniform angular distributions of scattered light, and broadband manipulation of the local density of states in nano-textured scattering surfaces with deterministic aperiodic order. The biosensors can be fabricated in semiconductor, metal, low- and high-index dielectric platforms using standard nanofabrication techniques such as electron-beam lithography, ion-beam milling, etc, and can be replicated over large areas by standard nano-imprint lithography.

Claims

1. Apparatus, comprising:

a substrate having a surface with a deterministic, aperiodic nano-scale pattern, the pattern extending across an area to be covered by an analyte whose presence is to be detected during use of the apparatus, the pattern exhibiting deterministic aperiodicity and corresponding dense filling of reciprocal space across the entirety of the area;

a source of light directed at the surface of the substrate;

a detector operative to receive a pattern of light scattered off the surface of the substrate and to convert the received pattern of light to a corresponding color image, the color image having a colorimetric spatial distribution pattern; and

image processing circuitry operative to perform pattern recognition on the colorimetric spatial distribution pattern to detect the presence of the analyte on the surface of the substrate.

2. Apparatus according to claim 1 wherein the pattern of light scattered off the surface of the substrate reflects phase-sensitive modifications of a structural color pattern.

3. Apparatus according to claim 2 wherein the modifications are interrogated by measuring scattered radiation in the form of color patterns which are colorimetric fingerprints specific to nanostructured surfaces with aperiodic patterns.

4. Apparatus according to claim 3 wherein the measuring of the scattered radiation employs dark-field microscopy.

5. Apparatus according to claim 1 wherein the detector and image processing circuitry make up a sensing transduction mechanism operating in both frequency domain and spatial domain by pattern recognition analysis.

6. Apparatus according to claim 5 wherein the pattern recognition analysis is selected from autocorrelation and wavelet-based analysis.

7. Apparatus according to claim 1 wherein spectral sensing occurs by monitoring frequency shifts of critical modes in aperiodic structures in response to a local refractive index change of the aperiodic structures.

8. Apparatus according to claim 1 wherein the deterministic, aperiodic nano-scale pattern includes Raman active metallic particles arranged on the surface, and further comprising Raman detection circuitry operative to detect a specific Raman signal from the surface concurrently with operation of the detection circuitry.

9. Apparatus according to claim 1 wherein the surface is selected from (a general dielectric material and a plasmonic surface with metal nanoparticles.

10. Apparatus according to claim 9 wherein the general dielectric material is a low-index material.

11. Apparatus according to claim 1 wherein the deterministic, aperiodic nano-scale pattern includes a nanopillar array.

12. Apparatus according to claim 1 wherein the deterministic, aperiodic nano-scale pattern is selected from quasi-periodic systems and more complex structures.

13. Apparatus according to claim 12 wherein the quasi-periodic systems are selected from Fibonacci, Gaussian primes, and Penrose lattices, and wherein the more complex structures are selected from Thue-Morse, Rudin-Shapiro, prime number arrays, Ulam'"'"'s spirals, co-prime arrays, and Eisenstein'"'"'s primes.

14. A method, comprising:

directing light at a surface of a substrate, the surface having a deterministic, aperiodic nano-scale pattern extending across an area to be covered by an analyte whose presence is to be detected, the pattern exhibiting deterministic aperiodicity and corresponding dense filling of reciprocal space across the entirety of the area;

detecting a pattern of light scattered off the surface of the substrate and converting the received pattern of light to a corresponding color image, the color image having a colorimetric spatial distribution pattern; and

performing pattern recognition on the colorimetric spatial distribution pattern to detect the presence of the analyte on the surface of the substrate.

15. A method according to claim 14 wherein the pattern of light scattered off the surface of the substrate reflects phase-sensitive modifications of a structural color pattern.

16. A method according to claim 15 further comprising interrogating the modifications by measuring scattered radiation in the form of color patterns which are colorimetric fingerprints specific to nanostructured surfaces with aperiodic patterns.

17. A method according to claim 16 wherein the measuring of the scattered radiation employs dark-field microscopy.

18. A method according to claim 14 wherein the detecting and performing pattern recognition employ a sensing transduction mechanism operating in both frequency domain and spatial domain by pattern recognition analysis.

19. A method according to claim 18 wherein the pattern recognition analysis is selected from autocorrelation and wavelet-based analysis.

20. A method according to claim 14 wherein spectral sensing occurs by monitoring frequency shifts of critical modes in aperiodic structures in response to a local refractive index change of the aperiodic structures.

21. A method according to claim 14 wherein the deterministic, aperiodic nano-scale pattern includes Raman active metallic particles arranged on the surface, and further comprising detecting a specific Raman signal from the surface concurrently with detecting the pattern of light from the substrate.

22. A method according to claim 14 wherein the surface is selected from (a general dielectric material and a plasmonic surface with metal nanoparticles.

23. A method according to claim 22 wherein the general dielectric material is a low-index material.

24. A method according to claim 14 wherein the deterministic, aperiodic nano-scale pattern includes a nanopillar array.

25. A method according to claim 14 wherein the deterministic, aperiodic nano-scale pattern is selected from quasi-periodic systems and more complex structures.

26. A method according to claim 25 wherein the quasi-periodic systems are selected from Fibonacci, Gaussian primes, and Penrose lattices, and wherein the more complex structures are selected from Thue-Morse, Rudin-Shapiro, prime number arrays, Ulam'"'"'s spirals, co-prime arrays, and Eisenstein'"'"'s primes.