7,083 research outputs found

    Spectroelectrochemical Elucidation of the Kinetics of Two Closely Spaced Electron Transfers

    Get PDF
    The use of spectroelectrochemistry to facilitate the analysis of an EE mechanism was reported in this work. Using a set of spectra as a function of potential, the spectra of all three oxidation states were determined using evolving window factor analysis. From these spectra, the concentration of each species in solution was determined for each potential. Using these data, the current was calculated. Unlike the direct measurement of current, the current due to each redox process was determined, allowing one to analyze each redox process separate from the other. With the use of the Butlerā€“Volmer equation, the redox potential and the heterogeneous electron transfer parameters were measured. The spectrally determined current has the advantage of determining the current due to each redox process which is not generally possible with voltammetric data when the redox potentials are close together. This method was applied to the spectroelectrochemical reduction of Escherichia coli sulfite reductase hemoprotein (SiR-HP) in a phosphate buffer and in the presence of cyanide. The electrochemical parameters (EĀ°ā€™s, kĀ°ā€™s and Ī±ā€™s) for each electron transfer were calculated for both the uncoordinated and cyanide coordinated species. The rates of electron transfer for the siroheme and ironā€“sulfur cluster were slower than the rates observed for other heme proteins. This is probably due to the fact that this protein is significantly larger than most of the heme protein previously studied. This approach is a powerful tool for two-electron transfers when the EĀ° values are close together

    Use of Evolutionary Factor Analysis in the Spectroelectrochemistry of Escherichia coli Sulfite Reductase Hemoprotein and a Mo/Fe/S Cluster

    Get PDF
    The deconvolution of spectroelectrochemical data is often quite difficult if the spectra of intermediates are not known. Factor analysis, however, has been shown to be a powerful technique which can make it possible to deconvolute overlapping spectra. In this work, evolving factor analysis will be used to determine the number of intermediates and the spectra of those species for two typical spectroelectrochemical experiments:ā€‰ linear scan voltammetry and chronoabsorptometry in a thin-layer cell. The first system was the reduction of E. coli sulfite reductase hemoprotein (SiR-HP). Principal factor analysis indicated that three species were present. By using evolving factor analysis, the potential regions where each of the species were present were identified, and their concentrations and spectra were determined by the use of the mass balance equation. The spectra of the one-electron (SiR-HP1-) and two-electron (SiR-HP2-) reduced product were compared with previous work. The second experiment was the chronoabsorptometry of Cl2FeS2MoS2FeCl22- in methylene chloride. This experiment indicated that five species were present during the experiment. The entire set of 61 spectra were fit by assuming that there were 4 species present during the electrolysis. The rate constant for the appearance of subsequent species fit quite well with the rate constant for the disappearance of previous species. The spectra of the intermediates and final product were obtained using evolving factor analysis and a mass balance equation. Identification of the fifth species, which was probably the initial reduction product, Cl2FeS2MoS2FeCl23-, was difficult due to its low concentration and the fact that it was present in the same time region as the starting material

    Use of Factor Analysis in Multiā€Electron Spectroelectrochemistry

    Get PDF
    Spectroelectrochemistry and voltammetry contain both unique and complementary information. For multielectron transfers, information on each electron exchange is only directly accessible in the voltammetric data if the potentials are well separated so that two distinct waves can be observed. If the EĀ°ā€™s are close together, the voltammetric data will contain the sum of the two exchanges which can only be deconvoluted by modeling the system and solving the appropriate equations. On the other hand, the spectroscopic data contains direct information on each electron exchange even when the EĀ°ā€™s are close together. Unfortunately, this information cannot be readily extracted if the intermediate oxidation state does not have a potential region where it is the dominant species. Chemometric methods such as factor analysis though can be used to deduce the spectra of each species even if they donā€™t dominate in any potential region. Initial work on the application of factor analysis to spectroelectrochemistry has been reported. Traditional methods of electroanalytical analysis are based on models that relate the concentration of electroactive materials to electrode potentials and solution concentrations. The model and parameters are adjusted to obtain the best fit to a model. Chemometric methods such as factor analysis allow the experimenter to determine solution concentrations without knowledge of the precise electrochemical mechanism. The utility of this approach will be demonstrated by the study of a protein, E. coli sulfite reductase hemoprotein, which is capable of transferring two-electrons and the Ī”EĀ° values are less than 100 mV, causing the waves to overlap. With these methods more detailed information on the electron transfer rate and associated kinetics processes can be more clearly identified

    Evaluation of a University-Community Partnership to Provide Home-Based, Mental Health Services for Children from Families Living in Poverty

    Get PDF
    A university-community partnership is described that resulted in the development of community-based mental health services for young children from families living in poverty. The purpose of this pilot project was to implement an evidence-based treatment program in the homes of an at-risk population of children with significant emotional and behavior problems that were further complicated by developmental delays. Outcomes for 237 children who participated in the clinicā€™s treatment program over a 2 year period are presented. Comparisons are included between treatment completers and non-completers and the issues of subject attrition, potential subject selection bias, and the generalizability of the results are addressed. The need for more professionals who are trained to address mental health issues in very young children who live in very challenging conditions are discussed

    The Transformative Power of Engaging in Urban Greening Projects

    Get PDF
    Community greening efforts can improve urban ecological health, but what impacts do they have upon local residentsā€™ environmental attitudes and actions. Research suggests that the success of urban tree planting and other improvements require the stewardship of local residents, particularly in the face of dwindling public investment in green spaces. This study looks at the notion that participation in urban greening projects may have as much to do with helping inner-city residentsā€™ sense of community, connection to place, and empowerment, as improving ecological health. The study involved an evaluative survey of participants in environmental stewardship projects in Boston. This pilot study asked a range of items related to participantsā€™ environmental knowledge and changes in their environmental attitudes and behaviors after volunteering. The study results found an increase in participantsā€™ willingness to engage in environmentally beneficial behaviors in their own yard, including planting or maintaining street trees; as well as increased sense of community. In addition, participants in these community-centered urban greening projects, which included street tree planting and community gardens, expressed a greater willingness to take action to address other community issues. The study provides insights for those engaged in increasing valuable urban green space while at the same time interested in the broader issues facing inner-city neighborhoods
    • ā€¦
    corecore