Research
The Department is engaged in four major areas of research. These areas together with their associated investigators are as follows:
- Polymers, materials and nanotechnology
- Natural products and molecular medicine
- Environmental and analytical chemistry
- Chemistry education and technology
A selection of publications from these research areas is listed below.
2018
Electrowetting on dielectric (EWOD) of sessile microdroplets containing gold nanoparticles
By
Our electrowetting set-up consists of a bottom copper electrode coated with a thin insulating layer of dielectric (uncured polydimethylsiloxane) and a platinum wire upper electrode in contact with the sessile gold nanofluid droplet sitting on the dielectric layer. EWOD experiments are conducted with the following concentrations of gold nanofluid (in μM): 0.5, 0.33, 0.25, 0.05, 0.01, 0.005 and control fluid. Results show enhanced electrowetting response for microdroplets containing higher concentrations of gold nanoparticles. The specific capacitance is calculated for each concentration and is found to increase with increasing concentration, in agreement with an electromechanical model for the electrowetting phenomena.
DOI: 10.1016/j.matpr.2018.01.034
By
DOI: 10.1021/acsanm.7b00379
By
Thin-layer chromatography (TLC) is commonly used as a screening method to verify the identity and quality of dried herbal medicinal plant material. While TLC is relatively simple, the method still requires technical experience and relies on the subjective classification of sample TLC profiles as “within-specifications” or “off-specifications.” In this work, we report the development of an objective TLC-based system for the identification and quality assessment of herbal medicinal materials. Our proposed system is a miniaturized Pharmacopeia-based TLC method coupled with a smartphone app that allows for an objective interpretation of TLC profiles via multivariate image analysis and chemometric fingerprinting. An image of the TLC profile is captured using a smartphone camera interfaced with a 3D-printed photo-box, and the analysis is automated using a framework of pre-uploaded algorithms hosted on a cloud server. The TLC profile image is converted to an unfolded red, green, and blue (RGB) channel intensity profile, and classified as “within-specifications” or “off-specifications” using aggregated Soft Independent Modeling of Class Analogy (SIMCA) models. We present the application of our system to two herbal medicinal plants, Blumea balsamifera and Vitex negundo. The proposed system demonstrates 90.2% sensitivity and 86.2% specificity for B. balsamifera classification, and 81.4% sensitivity and 92.0% specificity for V. negundo classification when compared to the respective laboratory-based Pharmacopeia TLC protocols for the ability to distinguish authentic samples from non-authentic and degraded samples. The system developed in this work is a cost-effective, rapid method that can serve as a herbal material quality assessment tool in resource-limited settings.
DOI: 10.1039/C8AY02698J
2014
By Guidote, Armando Victor, Jr. M.
Photoelectrochemical activity on Ga-polar and N-polar GaN surfaces for energy conversion
By
Symmetry groups of single-wall nanotubes
By De Las Peñas, Ma. Louise Antonette N., Loyola, Mark L.
2013
Graphene–anthocyanin mixture as photosensitizer for dye-sensitized solar cell
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