scispace - formally typeset
G

Guosheng Chen

Researcher at Sun Yat-sen University

Publications -  73
Citations -  2384

Guosheng Chen is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Chemistry & Solid-phase microextraction. The author has an hindex of 18, co-authored 50 publications receiving 1191 citations. Previous affiliations of Guosheng Chen include Guangzhou University.

Papers
More filters
Journal ArticleDOI

A Convenient and Versatile Amino-Acid-Boosted Biomimetic Strategy for the Nondestructive Encapsulation of Biomacromolecules within Metal-Organic Frameworks.

TL;DR: An amino-acid-boosted biomimetic strategy is reported that enabled the rapid encapsulation, or co-encapsulation, of a broad range of proteins into microporous metal-organic frameworks (MOFs), with an ultrahigh loading efficiency.
Journal ArticleDOI

Applications of solid-phase microextraction in food analysis

TL;DR: In this article, the authors reviewed the application of solid phase microextraction (SPME) for the analysis of flavors/off-flavors in wine, fruits, meats, cereal products and non-volatile compounds such as pesticides, pharmaceuticals and personal care products, endogenous substances and other contaminants in food samples.
Journal ArticleDOI

"Armor-Plating" Enzymes with Metal-Organic Frameworks (MOFs).

TL;DR: In this article, an "armour-like" porous metal-organic framework (MOF) exoskeleton is placed around the enzymes to not only shield the enzymes against external stimulus, but also allows the selective transport of guests through the accessible porous network.
Journal ArticleDOI

Modulating the Biofunctionality of Metal-Organic-Framework-Encapsulated Enzymes through Controllable Embedding Patterns.

TL;DR: These findings show that the enzymes@MOFs, wherein the encapsulation process is driven by the rapid enzymes-triggered nucleation of ZIF-8, can maintain high enzymatic activity comparable to the free enzymes.
Journal ArticleDOI

Smartphone-assisted robust enzymes@MOFs-based paper biosensor for point-of-care detection.

TL;DR: This SBMCP sensor was capable of real-time colorimetric detection of glucose and uric acid in diabetes and gout events and potentially represents promising alternatives for POC diagnosis, especially applicable in developing world and resource-limited settings.