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Full-Text Articles in Physical Sciences and Mathematics

Electrochemiluminescence Mechanisms Investigated With Smartphone-Based Sensor Data Modeling, Parameter Estimation And Sensitivity Analysis, Elmer Ccopa Rivera, Rodney Lee Summerscales, Padma P. Tadi Uppala, Hyun J. Kwon Aug 2020

Electrochemiluminescence Mechanisms Investigated With Smartphone-Based Sensor Data Modeling, Parameter Estimation And Sensitivity Analysis, Elmer Ccopa Rivera, Rodney Lee Summerscales, Padma P. Tadi Uppala, Hyun J. Kwon

Faculty Publications

The present study introduces a unified framework combining a mechanistic model with a genetic algorithm (GA) for the parameter estimation of electrochemiluminescence (ECL) kinetics of the Ru(bpy)32+/TPrA system occurring in a smartphone‐based sensor. The framework allows a straightforward solution for simultaneous estimation of multiple parameters which can be, otherwise, time‐consuming and lead to non‐convergence. Model parameters are estimated by achieving a high correlation between the model prediction and the measured ECL intensity from the ECL sensor. The developed model is used to perform a sensitivity analysis (SA), which provides quantitative effects of the model parameters on the …


Assessing Amino Acid Racemization In Avian Eggshells Through Reverse Phase Liquid Chromatography, Nikitha Nelapudi Apr 2020

Assessing Amino Acid Racemization In Avian Eggshells Through Reverse Phase Liquid Chromatography, Nikitha Nelapudi

Honors Theses

The extent of amino acid racemization (AAR) observed in organic material offers insight into geochronology. Within the scope of AAR research, Avian eggshells are reliable sources of data due to retention of indigenous amino acids through calcification. This project develops a robust quantification methodology for up to 9 D/L amino acids using reverse-phase HPLC (RP-HPLC) with precolumn derivatization. Reliable quantitation is established via statistical assessment of detectability and calibration curves. Progress has focused on obtaining adequate enantioseparation and reproducible data of single D/L amino acids.


Design Of A Novel Isoxazoline Class Drug For The Suppressive Treatment Of Malaria, Peyton Ware Apr 2020

Design Of A Novel Isoxazoline Class Drug For The Suppressive Treatment Of Malaria, Peyton Ware

Honors Theses

Design of a novel isoxazoline class drug for the suppressive treatment of erythrocytic malaria through the inhibition of Plasmodium Falciparum Gylceraldehyde-3-phosphate Dehydrogenase (PfGAPDH) gave rise to creation of a synthetic plan for the proposed target molecule α-amino- 3-bromo-4,5-dihydroisoxazol-5-yl propionic acid. A literature-based analysis of the moieties targeting the PfGADPH active site led to the design of the target molecule. Subsequently, an exploration of the literature yielded a possible bifold synthetic plan. Attempts at a model epoxidation reaction using mCPBA and further efforts towards the synthesis of a 3- bromoisoxazoline were shown to be successful using GCMS analysis.


Synthesis Of Novel Temozolomide-Fatty Acid Imide Hybrid Compounds For The Chemotherapeutic Treatment Of Glioblastoma Multiforme, Janice Pakkianathan Apr 2020

Synthesis Of Novel Temozolomide-Fatty Acid Imide Hybrid Compounds For The Chemotherapeutic Treatment Of Glioblastoma Multiforme, Janice Pakkianathan

Honors Theses

Glioblastoma multiforme (GBM) is an aggressive form of brain cancer that originates from glial cells, which make up the supportive tissue surrounding neurons. Temozolomide (TMZ) is the current chemotherapeutic drug administered to treat GBM as it works to inhibit the growth of the cancer cells. This research study focused on developing a method for synthesizing novel hybrid compounds that combines TMZ with various fatty acids known to have anticancer properties, forming a series of imide compounds with potential chemotherapeutic effects. Before synthesizing the compounds, various methods for synthesizing an imide from a primary amide were tested to ensure that TMZ …


Development Of Smartphone-Based Ecl Sensor For Dopamine Detection: Practical Approaches, Hyun J. Kwon, Elmer Rivera, Mabio R. Cohelo Neto, Daniel Marsh, Jonathan Swerdlow, Rodney Lee Summerscales, Padma P. Tadi Uppala Jan 2020

Development Of Smartphone-Based Ecl Sensor For Dopamine Detection: Practical Approaches, Hyun J. Kwon, Elmer Rivera, Mabio R. Cohelo Neto, Daniel Marsh, Jonathan Swerdlow, Rodney Lee Summerscales, Padma P. Tadi Uppala

Faculty Publications

In this work, a compact, mobile phone-based ECL sensor apparatus was developed using the phone cameras, screen-printed electrodes (SPE), and mobile app for dopamine detection. Methods of DC voltage application for ECL reaction were comprehensively studied from the mobile phone itself or external power. Under optimized sensing conditions, with disposable carbon SPE and 20 mM coreactant tri-n-propylamine (TPrA), acceptable repeatability and reproducibility were achieved in terms of relative standard deviation (RSD) of intra- and interassays, which were 6.7 and 5.5%, respectively. The biochemical compound dopamine was measured due to its ECL quenching characteristics and its clinical importance. The …