Guangning Xu

Works (4)

Updated: July 5th, 2023 15:44

2018 article

Skin Permeation of Solutes from Metalworking Fluids to Build Prediction Models and Test A Partition Theory

Hughes-Oliver, J. M., Xu, G., & Baynes, R. E. (2018, November 24). Molecules, Vol. 23.

By: J. Hughes-Oliver n, G. Xu* & R. Baynes n 

author keywords: leave-one-solute-out (LOSO) cross-validation; leave-one-out (LOO) cross-validation; linear free-energy relationship (LFER) model; membrane-coated fiber (MCF) approach; partition coefficient; quantitative structure-activity relationship (QSAR); metalworking fluid
MeSH headings : Algorithms; Metals / metabolism; Models, Theoretical; Permeability; Reproducibility of Results; Skin Physiological Phenomena
topics (OpenAlex): Advancements in Transdermal Drug Delivery; Essential Oils and Antimicrobial Activity; Contact Dermatitis and Allergies
TL;DR: Using the membrane-coated fiber as a solid phase membrane extraction (SPME) approach to simulate skin permeation, partition coefficients for 37 solutes under 90 treatment combinations that could broadly represent formulations that could be associated with occupational skin exposure are obtained. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: January 14, 2019

2016 article

Effects of Electrically Activated Silver–Titanium Implant System Design Parameters on Time-Kill Curves Against Staphylococcus aureus

Tan, Z., Xu, G., Orndorff, P. E., & Shirwaiker, R. A. (2016, June 1). Journal of Medical and Biological Engineering, Vol. 36, pp. 325–333.

By: Z. Tan n, G. Xu n, P. Orndorff n & R. Shirwaiker n 

Contributors: Z. Tan n, G. Xu n, P. Orndorff n & R. Shirwaiker n 

author keywords: Antimicrobial efficacy; Orthopaedic implants; Ionic silver; Post-operative infections; Design parameters
topics (OpenAlex): Nanoparticles: synthesis and applications; Bone Tissue Engineering Materials; Neuroscience and Neural Engineering
TL;DR: The in vitro antimicrobial efficacy of a silver-based prophylactic system for orthopaedic implant applications is characterized and provides a reference of design parameters for future product engineering. (via Semantic Scholar)
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2. Zero Hunger (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2013 journal article

Predicting skin permeability from complex chemical mixtures: incorporation of an expanded QSAR model

SAR and QSAR in Environmental Research, 24(9), 711–731.

By: G. Xu n, J. Hughes-Oliver*, J. Brooks n & R. Baynes n 

author keywords: Abraham's LFER model; adjusted Q(LOO)(2); expanded LFER model; leave-one-solute-out; QSAR
MeSH headings : Complex Mixtures / pharmacokinetics; Permeability; Quantitative Structure-Activity Relationship; Skin / drug effects
topics (OpenAlex): Advancements in Transdermal Drug Delivery; Contact Dermatitis and Allergies; Essential Oils and Antimicrobial Activity
TL;DR: An expanded QSAR model is proposed in which one set of partial slopes is defined for each experimental condition, where conditions are defined according to solvent: water, synthetic oil, semi-synthetic oil, or soluble oil, which improved both the model fit and the predictive power when compared with the simple model. (via Semantic Scholar)
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Sources: Web Of Science, Crossref, NC State University Libraries
Added: August 6, 2018

2012 journal article

Selection of appropriate training and validation set chemicals for modelling dermal permeability by U-optimal design

SAR and QSAR in Environmental Research, 24(2), 135–156.

By: G. Xu n, J. Hughes-Oliver*, J. Brooks n, J. Yeatts n & R. Baynes n 

author keywords: QSAR model; training set selection; Baynes' Rule; U-optimal design; principal component analysis (PCA); applicability domain (AD)
MeSH headings : Chemistry / methods; Inorganic Chemicals / chemistry; Inorganic Chemicals / pharmacokinetics; Models, Statistical; Organic Chemicals / chemistry; Organic Chemicals / pharmacokinetics; Permeability; Quantitative Structure-Activity Relationship; Skin / drug effects
topics (OpenAlex): Advancements in Transdermal Drug Delivery; Computational Drug Discovery Methods; Essential Oils and Antimicrobial Activity
TL;DR: This paper describes a comprehensive procedure to select training sets from a large candidate set of 4534 solutes, using the newly proposed ‘Baynes’ rule’, which is a modification of Lipinski's ‘rule of five’ to screen out solutes that were not qualified for the study. (via Semantic Scholar)
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Sources: Web Of Science, Crossref, NC State University Libraries
Added: August 6, 2018

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