scispace - formally typeset
Y

Yu Mo

Researcher at University of Maryland, College Park

Publications -  21
Citations -  661

Yu Mo is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Marsh & Environmental science. The author has an hindex of 10, co-authored 17 publications receiving 502 citations. Previous affiliations of Yu Mo include Sun Yat-sen University & Nanyang Technological University.

Papers
More filters
Journal ArticleDOI

Start a research on biopolymer polyhydroxyalkanoate (PHA) : a review

TL;DR: This review aims to facilitate the start-up of PHA research by providing a summary of commercially available PHA-accumulating microbial cultures, PHA biosynthetic pathways, and methods for PHA detection, extraction and analysis.
Journal ArticleDOI

Enhanced styrene recovery from waste polystyrene pyrolysis using response surface methodology coupled with Box-Behnken design.

TL;DR: RSM-BBD is an effective approach for yield optimization of styrene recovery from WPS pyrolysis and was 12% more than the highest reported yield for reactors of similar size.
Journal ArticleDOI

Enhanced gas chromatography-mass spectrometry method for bacterial polyhydroxyalkanoates analysis

TL;DR: A gas chromatography-mass spectrometry method for quantification of polyhydroxyalkanoates (PHAs), containing 4-carbon to 16-carbon monomers, was developed in this article.
Journal ArticleDOI

Comparative pyrolysis upcycling of polystyrene waste: thermodynamics, kinetics, and product evolution profile

TL;DR: In this article, a comparative pyrolysis study of virgin polystyrene (VPS) and two types of commonly used poly styrene products (EPS) was carried out, suggesting distinct thermal degradation characteristics of these materials.
Journal ArticleDOI

Quantifying moderate resolution remote sensing phenology of Louisiana coastal marshes

TL;DR: In this paper, the landscape-level phenologies of the coastal marshes under different climatic conditions, using Landsat-derived Normalized Difference Vegetation Index (NDVI) records (30 × 30 m 2 spatial resolution) and a nonlinear mixed model, were studied.