Metal-antibody tagging and plasma-based detection
Abstract
An apparatus and method for characterizing a target, e.g., microbial samples or biological toxins, includes labeling the target with a biomolecular recognition construct and measuring an atomic-spectra signal of the biomolecular recognition construct. The method can include heating the labeled target before measuring the atomic-spectra signal. The atomic-spectra signal can be measured by performing laser-induced breakdown spectroscopy. The atomic-spectra signal can be measured by performing spark induced breakdown spectroscopy. The biomolecular recognition construct can be prepared by tagging a biological scaffolding with a metal atom or ion. In an aspect in which the target includes a microbial sample, the biological scaffolding can include an antibody against epitopes present on bacterial surface, the antibody linked to a heavy metal. In an aspect in which the target includes a biological toxin, the biological scaffolding can include an antibody against the biological toxin linked to heavy metals.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A method for characterizing a target within a sample, the method comprising:
applying to the sample a biomolecular recognition construct comprising a metal and a molecular recognition scaffold, wherein the molecular recognition scaffold is configured to bind to the target; generating a plasma of at least some of the sample; and detecting electromagnetic radiation emitted by the plasma to provide an atomic-spectra signal of the sample.
2 . The method according to claim 1 , wherein the generating comprises heating at least part of the sample.
3 . The method according to claim 1 , wherein the generating comprises irradiating at least part of the sample using a laser.
4 . The method according to claim 1 , wherein the generating comprises applying a spark to at least part of the sample.
5 . The method according to claim 1 , further comprising:
determining presence of the metal in the sample based at least in part on the atomic-spectra signal by performing at least one of spectral unmixing or constrained energy minimization (CEM).
6 . The method according to claim 1 , further comprising:
preparing the biomolecular recognition construct by bonding the metal to the molecular recognition scaffold, wherein the molecular recognition scaffold comprises a biological scaffold and the metal comprises a metal atom or ion.
7 . The method according to claim 1 , wherein the target includes a microbe and the molecular recognition scaffold comprises an antibody against epitopes present on a surface of the microbe.
8 . The method according to claim 1 , wherein the target includes a biological toxin and the molecular recognition scaffold comprises an antibody against the biological toxin.
9 . The method according to claim 1 , wherein the biomolecular recognition construct is a first biomolecular recognition construct, the metal is a first metal, the molecular recognition scaffold is a first molecular recognition scaffold, and the target is a first target, the method further comprising:
applying, to the sample, a second biomolecular recognition construct comprising a second metal and a second molecular recognition scaffold, wherein the second molecular recognition scaffold is configured to bind to a second target; determining presence of the first metal in the sample based at least in part on the atomic-spectra signal; determining absence of the second metal in the sample based at least in part on the atomic-spectra signal; determining presence of the first target in the sample based at least in part on the presence of the first metal in the sample; and determining absence of the second target in the sample based at least in part on the absence of the second metal in the sample.
10 . The method of claim 9 , further comprising:
attaching the sample to a silicon wafer; and washing the second biomolecular recognition construct from the silicon wafer.
11 . An apparatus for characterizing a biological target in a sample, the apparatus comprising:
a first subsystem configured to apply, to the sample, a biomolecular recognition construct comprising a metal and a molecular recognition scaffold, wherein the molecular recognition scaffold is configured to bind to the target; a second subsystem configured to generate a plasma using at least some of the sample; and a third subsystem configured to detect electromagnetic radiation emitted by the plasma to provide an atomic-spectra signal of the sample.
12 . The apparatus according to claim 11 , wherein the second subsystem comprises a laser.
13 . The apparatus according to claim 11 , wherein the second subsystem comprises:
a first electrode; a second electrode separate from the first electrode; and a power supply connected to the first electrode and the second electrode, the power supply being configured to selectively produce a spark across the two electrodes.
14 . The apparatus according to claim 11 , further comprising:
at least one processor; and memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising: determining presence of the metal in the sample based at least in part on the atomic-spectra signal by performing at least one of spectral unmixing or constrained energy minimization (CEM).
15 . The apparatus according to claim 11 , wherein the target includes a microbe and the molecular recognition scaffold comprises an antibody against epitopes present on a surface of the microbe
16 . The apparatus according to claim 11 , wherein the target includes a biological toxin and the molecular recognition scaffold comprises an antibody against the biological toxin.
17 . A method, comprising:
applying, to a sample, a biomolecular recognition construct comprising a metal and a molecular recognition scaffold, wherein the molecular recognition scaffold is configured to bind to a target; generating a plasma using at least some of the sample; detecting electromagnetic radiation emitted by the plasma to provide an atomic-spectra signal of the sample; determining presence of the metal in the sample based at least in part on the atomic-spectra signal; and determining presence of the target in the sample based at least in part on the presence of the metal in the sample.
18 . The method of claim 17 , further comprising:
preparing the biomolecular recognition construct by bonding the metal to the molecular recognition scaffold, wherein the molecular recognition scaffold comprises a biological scaffold and the metal comprises a metal atom or ion.
19 . The method of claim 17 , wherein the biomolecular recognition construct is a first biomolecular recognition construct, the metal is a first metal, the molecular recognition scaffold is a first molecular recognition scaffold, and the target is a first target, the method further comprising:
applying, to the sample, a second biomolecular recognition construct comprising a second metal and a second molecular recognition scaffold, wherein the second molecular recognition scaffold is configured to bind to a second target; determining absence of the second metal in the sample based at least in part on the atomic-spectra signal; and determining absence of the second target in the sample based at least in part on the absence of the second metal in the sample.
20 . The method of claim 19 , further comprising:
attaching the sample to a silicon wafer; and washing the second biomolecular recognition construct from the silicon wafer.Join the waitlist — get patent alerts
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