Composite organic inorganic nanoclusters
OwnerLei Sun, Xing Su +3inventors
InventorsLei Sun, Xing Su, Mineo Yamakawa, Zhang Jingwu, Narayan Sundararajan
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Abstract
Metallic nanoclusters capable of providing an enhanced Raman signal from an organic Raman-active molecule incorporated therein are provided. The nanoclusters may be further functionalized, for example, with coatings and layers, such as adsorption layers, metal coatings, silica coatings, probes, and organic layers. The nanoclusters are generally referred to as COINs (composite organic inorganic nanoparticles) and are capable of acting as sensitive reporters for analyte detection. A variety of organic Raman-active compounds and mixtures of compounds can be incorporated into the nanocluster.
Claims45
1) A nanocluster of metal particles having a unique Raman signature, wherein the unique Raman signature is produced by at least one Raman active organic compound incorporated within the nanocluster, and wherein the Raman active organic compound is a molecule having a conjugated aromatic system comprised of at least two aromatic rings and at least two atoms selected from the group consisting of nitrogen and sulfur.
10) A nanocluster of metal particles having a unique Raman signature, wherein the unique Raman signature is produced by at least one Raman active organic compound incorporated within the nanocluster and wherein the Raman active organic compound is selected from the group consisting of rhodamine, acridine orange hydrochloride, cresyl violet acetate, acriflavine neutral, dimidium bromide, 5,10,15,20-tetrakis(N-methyl-4-pyridinio)porphyrin tetra(p-toluenesulfonate), 5,10,15,20-tetrakis(4-trimethylaminophenyl)porphyrin tetra(p-toluenesulfonate), 3,6-diaminoacridine hydrochloride propidium iodide (3,8-diamino-5-(3-diethylaminopropyl)-6-phenylphenanthridinium iodide methiodide), trans-4-[4-(dimethylamino)styryl]-1-methylpyridinium iodide, 4-((4-(dimehtylamino)phenyl)azo)benzoic acid, succinimidyl ester, and mixtures thereof.
19) A method for detecting a known analyte in a sample solution, the method comprising:
- contacting a sample solution containing an analyte with nanoclusters of metal particles having a unique Raman signature produced by at least one Raman active organic compound incorporated in the nanoclusters, wherein the Raman active organic compound is a molecule having a conjugated aromatic system comprised of at least two aromatic rings and at least two atoms selected from the group consisting of nitrogen and sulfur, and an attached probe specific for the known analyte under conditions;
- contacting the sample containing the analyte with microspheres having an attached probe specific for the known analyte;
- under conditions that allow the probes that are specific for the known analyte to complex to any known analyte present in the sample;
- separating the microspheres in the solution from any uncomplexed nanoclusters;
- detecting a Raman signal from a fluid solution containing a microsphere, wherein
- detection of the Raman signature from a nanocluster is indicative of the presence of the analyte.
25) A method for distinguishing a plurality of biological analytes in a sample, the method comprising:
- contacting a sample comprising a plurality of biological analytes with a set of Raman active metallic nanoclusters with each member of the set having a Raman signature unique to the set produced by at least one Raman active organic compound incorporated therein, wherein the Raman active organic compounds are a molecules having a conjugated aromatic system comprised of at least two aromatic rings and at least two atoms selected from the group consisting of nitrogen and sulfur, and having an attached probe specific for the known analyte, under conditions suitable to allow specific binding of probes attached to the set of metallic nanoclusters to analytes present in the sample to form complexes;
- separating the bound complexes from any unbound complexes;
- detecting Raman signatures from the complexed Raman active metallic nanoclusters,
- wherein each Raman signature indicates the presence of the known biological analyte in the sample.
31) A method for the detection of a known cellular analyte, the method comprising:
- contacting a sample containing a cellular analyte with a set of at least two composite organic inorganic nanoclusters, each member of the set having a Raman signature unique to the set produced by at least one Raman active organic compound incorporated in the nanoclusters, wherein the Raman active organic compounds are a molecules having a conjugated aromatic system comprised of at least two aromatic rings and at least two atoms selected from the group consisting of nitrogen and sulfur, and each member having an attached probe specific for a surface feature of the known cellular analyte;
- separating the cellular analyte from any uncomplexed nanoclusters;
- detecting a Raman signal from a solution containing the cellular analyte wherein the co-occurrence of at least two different unique Raman signatures is indicative of the presence of the known cellular analyte possessing at least one specific surface feature.
39) A method for the detection of a known surface features present on a cellular analyte, the method comprising:
- contacting a sample containing the cellular analyte with a composite organic inorganic nanocluster having a unique Raman signature produced by at least one Raman active organic compound incorporated in the nanocluster, wherein the Raman active organic compound is a molecule having a conjugated aromatic system comprised of at least two aromatic rings and at least two atoms selected from the group consisting of nitrogen and sulfur, and having an attached probe specific for a surface feature of the known cellular analyte;
- fluorescently labeling the cellular analyte;
- separating the cellular analyte from any uncomplexed nanoclusters;
- detecting a Raman signal from a solution containing the cellular analyte wherein the co-occurrence of a fluorescence signal and a Raman signal is indicative of the presence of the known cellular analyte possessing at least one specific surface feature.
Dependencies are inferred from the claim text.