Determining Detection Limits of Aqueous Anions Using Electrochemical Impedance Spectroscopy

Background: Pulsed amperometric detection is a relatively new method for detection of ions and especially non-electrolytes such as carbohydrates in aqueous solutions. Pulsed amperometric detection relies on a redox reaction while electrochemical impedance simply measures the real and capacitive resistant of the solution. There is a correlation between the real impedance of a solution and the ionic strength of the solution. Method: This work explores measuring real impedance of pure water as a function of temperature from 25.0 to 60.0 °C to determine the relationship between impedance and temperature. Maintaining temperature at 25.0 °C, solutions of sodium chloride, potassium carbonate, sodium sulfate acetate and bicarbonate have been measured using impedance spectroscopy. Results: Regression analysis shows that measuring anions using impedance spectroscopy and simple stainless steel cylinders that detection limits at the parts per trillion (ppt) level are possible. There was no statistical difference when comparing impedance values of the same concentration of acetate and chloride in solution, showing real impedance is not dependent on ion size. However, ions with higher charge do result in lower impedance measurements. Conclusions: This work establishes the use of simple, small, robust stainless steel cylinders and impedance measurements following separation for the identification and quantification of ions in solution

Amine and Pesticide Detection with Phthalocyanines

Pesticides are a growing concern around the world as they are widely increasing in use and not as highly regulated as some health and environmental hazards. As agricultural, home, and other pesticide applications continue to rise, the need for analytical testing and removal of these pesticides from our rivers, streams, and other runoffs is becoming more and more significant. Glyphosate, an active ingredient in the herbicide Roundup, is an amine compound that has a maximum contamination level of 700 ppb. This work studied the use of water soluble Iron (II) tetrasolfophthalocyanine in amine detection that could be further applied to glyphosate. Also included in this study is a glimpse of removal possibilities combining phthalocyanines with traditional adsorption media for enhanced extraction and capacity

Post-processing partitions to identify domains of modularity optimization

We introduce the Convex Hull of Admissible Modularity Partitions (CHAMP) algorithm to prune and prioritize different network community structures identified across multiple runs of possibly various computational heuristics. Given a set of partitions, CHAMP identifies the domain of modularity optimization for each partition ---i.e., the parameter-space domain where it has the largest modularity relative to the input set---discarding partitions with empty domains to obtain the subset of partitions that are "admissible" candidate community structures that remain potentially optimal over indicated parameter domains. Importantly, CHAMP can be used for multi-dimensional parameter spaces, such as those for multilayer networks where one includes a resolution parameter and interlayer coupling. Using the results from CHAMP, a user can more appropriately select robust community structures by observing the sizes of domains of optimization and the pairwise comparisons between partitions in the admissible subset. We demonstrate the utility of CHAMP with several example networks. In these examples, CHAMP focuses attention onto pruned subsets of admissible partitions that are 20-to-1785 times smaller than the sets of unique partitions obtained by community detection heuristics that were input into CHAMP.Comment: http://www.mdpi.com/1999-4893/10/3/9

Preliminary Study of the Relationship Between Undergraduate Learning Outcome Assessment and Estimated Earnings of Graduates

The primary motivation for exploring the relationship between learning outcomes assessment and graduate earnings is to simply document the assumed link so that educators have some basis for claiming long-term benefits of outcomes assessment. Furthermore, the scope of the project was limited to exploring learning outcomes assessment in the state of Kansas as this was deemed a preliminary inquiry. Specifically, this article seeks to address the following three questions: 1. Have academic programs in Kansas adopted assessment plans? 2. Does student ability play a role in earnings differentiation upon graduation? 3. Is there a difference in earnings between the highest, moderate, and lowest performing graduates

A flexible control system for flexible manufacturing systems

A flexible workcell controller has been developed using a three level control hierarchy (workcell, workstation, equipment). The cell controller is automatically generated from a model input by the user. The model consists of three sets of graphs. One set of graphs describes the process plans of the parts produced by the manufacturing system, one set describes movements into, out of and within workstations, and the third set describes movements of parts/transporters between workstations. The controller uses an event driven Petri net to maintain state information and to communicate with lower level controllers. The control logic is contained in an artificial neural network. The Petri net state information is used as the input to the neural net and messages that are Petri net events are output from the neural net. A genetic algorithm was used to search over alternative operation choices to find a "good" solution. The system was fully implemented and several test cases are described