Gene/Protein Disease Symptom Drug Enzyme Compound
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In this paper, we develop a facile strategy for fabricating a yolk-shell structured catalytic system that consists of a core made of Ru supported on mesoporous carbon, which is encaged within a silica shell that has ordered radial mesochannels. A region-selective etching mechanism for the formation of the yolk-shell nanoarchitectures is proposed based on the stronger adsorption ability of the carbon core for etching agent than that of the silica shell for etching agent. By combining such material with amyloglucosidase, one-pot hydrolysis-hydrogenation of dextrin to sorbitol can be conducted, delivering enhanced efficiency and showing great promise for biomass conversion applications.
ACS Appl Mater Interfaces 2014 Dec 10
PMID:Yolk-shell nanoarchitectures with a Ru-containing core and a radially oriented mesoporous silica shell: facile synthesis and application for one-pot biomass conversion by combining with enzyme. 2540 26

There is considerable demand for sensitive, selective, and portable detection of disease-associated proteins, particularly in clinical practice and diagnostic applications. Portable devices are highly desired for detection of disease biomarkers in daily life due to the advantages of being simple, rapid, user-friendly, and low-cost. Herein we report an enzyme-encapsulated liposome-linked immunosorbent assay for sensitive detection of proteins using personal glucose meters (PGM) for portable quantitative readout. Liposomes encapsulating a large amount of amyloglucosidase or invertase are surface-coated with recognition elements such as aptamers or antibodies for target recognition. By translating molecular recognition signal into a large amount of glucose with the encapsulated enzyme, disease biomarkers such as thrombin or C-reactive protein (CRP) can be quantitatively detected by a PGM with a high detection limit of 1.8 or 0.30 nM, respectively. With the advantages of portability, ease of use, and low-cost, the method reported here has potential for portable and quantitative detection of various targets for different POC testing scenarios, such as rapid diagnosis in clinic offices, health monitoring at the bedside, and chemical/biochemical safety control in the field.
ACS Appl Mater Interfaces 2016 Mar 23
PMID:Enzyme-Encapsulated Liposome-Linked Immunosorbent Assay Enabling Sensitive Personal Glucose Meter Readout for Portable Detection of Disease Biomarkers. 2691 45

Introducing an efficient method for the rapid conversion of starch into gluconic acid is desirable to solve the current problems existing in traditional gluconic acid preparation processes. In this study, a robust and easy-to-use multienzymatic cascade reaction system of coimmobilized GA@GOx hybrid nanoflowers with a specific spatial distribution of enzymes by compartmentalization was constructed and applied to catalyze starch to gluconic acid in one pot. In the preparation processes, the glucose oxidase (GOx) hybrid nanoflowers were first synthesized via a self-assembly mechanism, and then, glucoamylase (GA) was adsorbed on the surface of GOx hybrid nanoflowers through the interaction of Cu2+ and amino acids of GA. The optimum preparation conditions and reaction parameters of the GA@GOx hybrid nanoflowers had been investigated. In addition, the morphology, composition, and crystallization of the GA@GOx hybrid nanoflowers had been fully studied. Based on the lower Km, the GA@GOx hybrid nanoflowers with compartmentalization had a better effect of the substrate channeling on the catalytic efficiency. The final results indicated that the overall enzyme activity of the GA@GOx hybrid nanoflowers increased by 1.5 times, and the conversion efficiency was 92.12% within 80 min significantly superior to the free multienzyme system, which showed the outstanding conversion of starch into gluconic acid in one pot.
ACS Appl Mater Interfaces 2020 Apr 01
PMID:Construction of a Multienzymatic Cascade Reaction System of Coimmobilized Hybrid Nanoflowers for Efficient Conversion of Starch into Gluconic Acid. 3215 9