Typically, the costs associated with the synthesis, isolation, and purification of high value molecules/materials as well as environmental/health concerns related to the overall process are disregarded due to perceived profits that could be obtained from the use of the final products. However, as the scale of production of these materials increases, the need for more environmentally benign, sustainable, inexpensive, yet still facile and efficient processes increases exponentially.

Squaraine dyes are versatile, high-value fluorescent molecules, with a very broad and diverse range of applications due to their absorption and emission in the infrared spectral region. However, vast majority of literature syntheses of these dyes utilize toxic, volatile solvents. In this presentation, we will outline our current efforts on the use of green solvents, solvent-free and mechanochemical routes to various types of squaraine dyes. Furthermore, we will present sustainability and cost-effectiveness estimates as guiding tools for the future development of all around-efficient synthetic protocols for various types of squaraine dyes.

Small molecules are reliable and pervasive pharmaceuticals because critical drug characteristics are predictable including solubility and membrane permeability. In addition, small molecules are typically inexpensive to produce and their mechanisms of action subscribe to a common paradigm vis-à-vis blocking an enzyme active site. In contrast, nature employs elaborate machinery to make large molecules, oftentimes rings (or macrocycles). Drug companies avoid these because the rules for predicting behavior are under-explored and the paradigm used for action is different vis-à-vis blocking protein-protein interactions. Moreover, they are costly and laborious to make. To contribute to an understanding of drug design for large molecules, our group is preparing a series of large molecules (macrocycles). The lead adopts a beta-sheet conformation in the solid state, but its behavior in solution is unknown. Here, a second member of the class is described wherein alanine replaces glycine in the macrocycle to provide additional handles to study conformation and the effects that structure has on critical parameters. The 26-atom macrocycle is synthesized in a three-step process. The reaction of a triazine core, and the addition of BOC-hydrazine, alanine, and dimethylamine yields the first intermediate which undergoes elaboration with a 4-carbon acetal group using traditional peptide-coupling strategies (HBTU). Dimerization of the resulting monomer occurs in a 1:1 mixture of dichloromethane and trifluoroacetic acid. Reaction progress is followed by thin-layer chromatography and the identity of the products is confirmed by 1H and 13C NMR spectroscopy. Conformational analysis rests on 2-D 1H NMR spectroscopy. The molecule will also be subjected to analysis for solubility and membrane permeability. In the longer term, these beta-sheet mimics will be used to disrupt protein-protein interactions with an emphasis on the BRCA1-PALB2 interaction implicated in breast cancer.

Utilizing the supportive structure of hydrogels, the semiconducting character of porous silicon (pSi) membranes, and the biodegradability of both, a unique biosensor for the chemical analysis of health-relevant analytes can ideally be created.
Alginate-based hydrogels are water-infused, biodegradable polymer networks. These are particularly useful because of their environmental abundance, and their ability to interface well with human skin. These characteristics also make them an ideal medium for supporting pSi membranes and simultaneously assimilating them into a wide range of tissues.
Porous silicon (pSi), a highly porous form of the elemental semiconductor, is utilized to measure and conduct electrical signals throughout the hydrogel matrix. In diode form, these membranes exhibit measurable current values as a function of voltage, which can be used to detect bioelectrical stimuli such as the concentration of physiologically relevant ionic species (e.g. Na+, K+, and Ca2+).
Recent experiments center on integrating pSi membranes into various aqueous environments and hydrogels to test how variations in ion concentration affect the flow of electrical current as a function of applied voltage. pSi membranes are fashioned into diodes upon the attachment of 0.25 mm diameter copper wire using silver epoxy and annealing. An electrochemical cell is created by placing two pSi membranes parallel each other in an electrolyte composition. Current is measured as a function of applied voltage (typically from 0-5 V) for systems with differing NaCl concentration.
As expected, the magnitude of maximum current response is proportional to ion concentration present in the electrolyte, with an order of magnitude amplification or more of measured current for a given voltage upon immersion of the electrodes in an alginate hydrogel matrix relative to water alone.
This presentation will focus on initial diode fabrication protocols, as well as establishing limits of detection for simple ions species present in human sweat. More refined strategies are also envisioned, including the development of methods for stabilization of sensor performance along with miniaturization of the sensing platform itself.

Testing a Computational Workflow for Drug Design: pKa and logP from the SAMPL7 Blind Challenge
Katie Zabel
Advisor: Benjamin Janesko
Being able to produce accurate predictions of pKa for various molecules is an ongoing effort in computational chemistry. Drug companies and industries are constantly seeking accurate predictions of pKa and lipophilicity for molecules that are possible drug candidates. Accurate predictions of these values means that time, money, and effort won’t be wasted synthesizing molecules that aren’t going to be effective drugs. The Janesko group has developed a workflow that uses CREST for conformational analysis and (M11plus/def2TZVP/SMD) DFT calculations to identify a molecule’s pKa. The DFT calculations process and refine the relative energies of the stable conformations. The goal of this project is to benchmark the current workflow against the SAMPL7 challenge, which will test the workflow’s outperformance of the best quantum-mechanical methods from 2021. The SAMPL challenge is a competition that asks participants to predict the properties of molecules that have never been synthesized. These molecules will then be created in labs and their properties will be accurately tested. Comparison of the competitor's predicted properties to the true values measured will assess the accuracy of the competitor's predictions. If the prediction of pKa using the current workflow is accurate based off the benchmark against the SAMPL7 challenge, then the workflow could be entered into the next SAMPL Blind challenge.

During the college admissions process, students are presented with an overload of information from each school they are applying to and accepted by. A critical aspect for deciding on a school is the estimated Cost of Attendance (COA) and the financial aid package. Each school calculates their COA differently and thus offers a unique financial aid package. It is important for students to have a way of comparing and evaluating a school's cost with financial aid. While college counselors have developed excel sheets with algorithms that compare personalized cost with financial aid and scholarships, not all students are familiar with excel which may result in an inaccurate analysis. Transparent Tuition is a tool for students to accurately compare financial aid options from each university they are applying to. This project was developed using React.js and Spring Boot. These are two development libraries that will make Transparent Tuition scalable in the future. By creating a user-friendly web tool, students can better understand the school’s information and make a more educated decision when deciding on their university. Students will be able to connect with a college counselor to receive advice regarding their options when choosing a university. This will allow students to make an educated decision on their college based on both the short-term and long-term financial impact.