Aqueous humor analysis method based on titanium oxide nano material matrix

A technology of nanomaterials and analysis methods, which is applied in the field of aqueous humor analysis of titanium oxide nanomaterial matrix, can solve the problems that materials cannot achieve global metabolite coverage, insufficient ionization ability of metabolites, and inability to detect metabolites. Detection time, load increase, and high-efficiency ionization effect

Pending Publication Date: 2022-08-09
FUDAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the ionization ability of these nanomaterials to metabolites is insufficient, so that metabolites in low-abundance body fluid samples cannot be detected. Secondly, a sin

Method used

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  • Aqueous humor analysis method based on titanium oxide nano material matrix
  • Aqueous humor analysis method based on titanium oxide nano material matrix
  • Aqueous humor analysis method based on titanium oxide nano material matrix

Examples

Experimental program
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Effect test

Embodiment 1

[0029] Example 1: Synthesis of Gold Nanoparticles-Modified Multilayer Titanium Oxide Nanomaterials and Analysis of Standards

[0030] (1) Add the polyoxyethylene polyoxypropylene ether triblock copolymer to the tetrahydrofuran solution, stir and dissolve it thoroughly, add acetic acid and concentrated hydrochloric acid, and stir it for 10 minutes, then add tetrabutyl titanate to the system, about After 30 min of reaction, the clear yellow-white solution was poured into two weighing bottles and dried in a vacuum drying oven at 40 °C;

[0031] (2) The product obtained in step (1) was uniformly dispersed in anhydrous ethanol, stirred vigorously until the dissolution was complete, then 15 mL of glycerol was added, and the mixture was fully stirred for 10 min, and the obtained mixed solution was transferred to an autoclave. Heating for 10 h under the conditions of , cooling to room temperature, collecting the precipitate, fully washing with deionized water and absolute ethanol, and...

Embodiment 2

[0040] Example 2 Analysis of actual samples

[0041] (1) Prepare a multi-layer titanium oxide binary matrix material modified by gold nanoparticles according to steps (1) to (4) of Example 1;

[0042] (2) Preparation of aqueous humor sample: add 100 μL of deionized water to 100 μL of aqueous humor sample for dilution;

[0043] (3) Mass spectrometry analysis: Take 1~2 μL of the diluted aqueous humor samples in step (2) (senile-related cataract aqueous humor samples, diabetes-related aqueous humor samples, and high myopia-related aqueous humor samples) The targets were spotted respectively, and after natural drying, 1~2 μL of the prepared gold nanoparticle-modified multilayer titanium oxide was covered on it. After natural drying, MALDI analysis was performed. %) mass spectrum such as Figure 7 shown;

[0044] Analysis result: by Figure 7 It can be seen that the titanium oxide matrix material modified by gold nanoparticles has excellent ionization efficiency for the metabol...

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Abstract

The invention provides an aqueous humor analysis method based on a titanium oxide nano-material matrix, which comprises the following specific steps: preparing a material dispersion solution from a titanium oxide nano-material and deionized water in a mass volume ratio range of 1-2 g/L, depositing 1-2 [mu] L of an aqueous humor sample on a target plate, drying the sample, and carrying out vacuum drying on the sample to obtain the titanium oxide nano-material matrix based aqueous humor analysis method based on the titanium oxide nano-material matrix. And applying 1-2 [mu] L of a material dispersion solution on the substrate, carrying out MALDI-TOF-MS mass spectrometry to obtain a metabolic fingerprint spectrum, and distinguishing cataract patients related to different diseases through a machine learning method. According to the method, the metabolic fingerprint spectrum of the aqueous humor sample is acquired by preparing the efficiently ionized binary laser/desorption ionization matrix, and the senile related cataract, the diabetes related cataract and the high myopia related cataract can be quickly distinguished by combining with a machine learning means; the method has a wide application prospect for distinguishing cataract related to different diseases and exploring a cataract molecular mechanism.

Description

technical field [0001] The invention belongs to the field of medicine, in particular to a method for analyzing aqueous humor based on a titanium oxide nanomaterial matrix, in particular to a method for analyzing aqueous humor based on a titanium oxide nanomaterial matrix modified by gold nanoparticles. Background technique [0002] Aqueous humor is the liquid that fills the space (anterior chamber) between the cornea and the iris lens. Under normal circumstances, it is colorless and transparent, and its quantity and composition are relatively stable. Aqueous humor, the clear fluid surrounding the anterior and posterior chambers of the lens, plays an important role in maintaining intraocular pressure, supplying the lens with nutrients and antioxidants, and removing metabolic waste from the lens. [0003] Cataract is a blinding eye disease with various symptoms such as lens protein degeneration and metabolic disorder. Its inducements include age, high myopia, diabetes, poisoni...

Claims

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Application Information

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IPC IPC(8): G01N27/64C01G23/053B82Y30/00B82Y40/00B22F9/24B22F1/07B22F1/12
CPCG01N27/64C01G23/053B82Y30/00B82Y40/00B22F9/24C01P2004/80
Inventor 邓春晖杨沉杰孙念荣
Owner FUDAN UNIV
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