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1. First Year Specialist Anaesthesia Training in Ireland: A Logbook Analysis

Author

O'Shaughnessy, S. M., Skerritt, C. J., Fitzgerald, C. W., Irwin, R., and Walsh, F.

Abstract

Objective: Acquisition of a new range of skills occurs during first year anaesthesia training. The first twelve months of specialist anaesthesia training represent the steepest part of the learning curve, and thus large differences in performance should be apparent between the first and last quarters of this period. At present, no published quantitative logbook data exist for the Irish anaesthesia trainee. The aim of this study was to quantify the number of practical procedures performed and supervision required during first year anaesthesia training, in order to better understand the changes in skills occurring in trainees over this defining period. Methods: A retrospective analysis of prospectively maintained logbooks of three first year anaesthesia trainees was performed. Results: In the first three months, mean numbers of cases were 224, endotracheal tube (ETT) 64, laryngeal mask airway (LMA) 55, spinal anaesthetic 12, arterial lines 9.5, central lines 0.5, peripheral nerve blockade (PNB) 2, epidurals 0. There was 91.5% direct supervision and 8.5% indirect supervision. In the final three months, mean numbers of cases were 205.5, ETT 28, LMA 35, spinals 50, arterial line insertions 4.5, central line insertions 1.5, PNB 3.5, epidurals 80. There was 68.5% direct supervision and 31.5% indirect supervision. Conclusions: The use of logbooks to chart progress through training has many advantages. However, the number of procedures or cases logged should not be read in isolation, or compared with hard targets of "proficiency". Rather, logbooks need to be read with reference to the performance of peers in training. This snapshot of training provides a useful flavour of the experience of novice anaesthesia trainees, and their progress within their first year, and could be used as a benchmark for future logbook based assessments.

Published
2017

2. How faults wake up: The Guthrie-Langston, Oklahoma earthquakes

Author

Schoenball, Martin, Walsh, F Rall, Weingarten, Matthew, and Ellsworth, William L

Subjects
Geochemistry & Geophysics
Abstract

Large-scale wastewater disposal has led to a fast-paced reawakening of faults in the Oklahoma/Kansas region. High-resolution earthquake relocations show that the inventory of ancient basement faults in the study region differs from results of seismic surveys and geologic mapping focused on the sedimentary cover. We analyze the evolution of seismic activity in the Guthrie-Langston sequence in central Oklahoma in greater detail. Here, seismic activity has reactivated a network of at least 12 subvertical faults in an area less than 10 km across. Recorded activity began in late 2013, peaked about six months later, and includes two M 4 earthquakes. These earthquakes characteristically occur at about 4 km depth below the top of the basement and do not reach the sedimentary cover. The sequence shows a radial growth pattern despite being no closer than 10 km to significant wastewater disposal activity. Hydrologic modeling suggests that activity initiated with a time lag of several years relative to early injection activity. Once initiated, earthquake interactions contribute to the propagation of seismicity along the reactivated faults. As a result, the spatiotemporal evolution of the seismicity mimics a diffusive pattern that is typically thought to be associated with injection activity. Analysis of the fault slip potential shows that most faults are critically stressed in the contemporary stress field. Activity on some faults, for which we find low slip probability, suggests a significant contribution of geomechanical heterogeneities to the reawakening of these ancient basement faults.

Published
2018

7. The modification of attentional bias to emotion-related words using the unilateral hand contraction method

Author

Walsh, F. A. E.

Subjects
152.3, Laterality
Abstract

Substantial evidence shows that attentional bias towards threat plays a fundamental role in anxiety and that deficits in frontal brain functioning might explain this. However, a paucity of research on anger related attentional bias leaves unanswered questions about whether similar mechanisms underpin aggression. This has led to a lack of theoretical explanations for anger related attentional bias and effective interventions to reduce anger. Electroencephalographic (EEG) evidence suggests that the hemispheric specialisation of the frontal brain predicts differential responding to emotional stimuli in anger and anxiety. Manipulating motivational direction, via unilateral hand contractions (UHCs), provides a means to explore the causal relationship between anger and attentional bias to threat. Previously, this method has only been used to change experiential and expressional aspects of emotion and its effectiveness in modulating attentional components of emotion regulation are unknown. Therefore, this Thesis aims to explore whether UHCs effectively modulate attentional bias to threat in relation to, and independent of trait anger. It also aims to discover the underlying neural effects of the UHC method to examine whether threat-related attentional changes reflect modulations in cognitive control and/or approach motivation. Finally, this Thesis aims to bridge the gap between the attentional bias and frontal brain asymmetry literature. These aims will be addressed by employing Emotional Stroop and Dot Probe paradigms as well as event related potentials measures. The findings provide evidence that UHCs provides an effective technique to modulate attentional bias to threat. Specifically, RHCs reduce attentional bias to threat independent of trait anger and in individuals with low trait anger but they do not modify attentional bias to threat in high anger individuals. In contrast, LHCs increase attentional bias to threat and this reduced task relevant processing, independent of trait anger. The implications of these novel findings and future directions of research are discussed.

Published
2015

12. Bilingual Teachers as Action Researchers in TESOL.

Author

Walsh, F. Timothy

Abstract

This paper reports on the experiences and findings of five New York City public school teachers who, in the course of research for their master's degrees in Teaching English as a Second Language (TESOL) designed and implemented individual action research projects investigating issues and concerns emanating from their classroom experiences. It is hoped that new insights into language teachers knowledge, beliefs, and attitudes will be uncovered that can be used to design more effective, useful, and holistic graduate TESOL education. The principal research question is: What was the nature of the experiences of bilingual teachers performing action research for the first time in a graduate TESOL program? This question was then divided into three sub-questions: (a) What topics did the teachers choose, what were their motivations for choosing them, and what findings did they produce? (b) What courses of action did they propose for working with English language learners upon completion of research? (c) What problems and successes did they encounter? There are three general recommendations and findings: (1) Identify and explore affective factors such as empathy in TESOL teachers' experiences that link research to practice. (2) Advocate for greater inclusion of teachers' voiced in educational research. (3) Raise awareness of action research among TESOL teachers. Data-rich tables and an appendix are included. 35 references. (KFT)

Published
2000

16. Janus particles: features, synthesis and potential uses, including surface functionalisation.

Author

Walsh, F. C.

Subjects
JANUS particles, NANOSTRUCTURED materials, CLEAN energy, SURFACE finishing, THREE-dimensional printing, STREAMFLOW
Abstract

As the development of nanostructured materials continues to blossom, there is increasing attention to functionalised particles. The so-called Janus particles are anisotropic regions having different physicochemical properties. The recent development of their synthesis in a pH field during suspension as bipolar particles between electrodes has opened the door to improved scalability due to the ease of entraining particles as a slurry in a flowing electrolyte stream. Potential application areas span catalysis of chemical synthesis, sustainable energy conversion and pharmaceutical and biomedical sectors of industry. In view of their versatility, the ability to undergo surface modification and opportunities for facile scale-up, Janus particles might be deployed as building blocks to fabricate functional surfaces having tailored chemical, structural and surface anisotropy. They could prove to be valuable feedstock in 3-D printing and surface finishing of fast prototype components and devices. [ABSTRACT FROM AUTHOR]

Published
2024
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17. Realistic magnetic thermodynamics by local quantization of a semiclassical Heisenberg model

Author

Walsh, F, Walsh, F, Asta, M, Wang, LW, Walsh, F, Walsh, F, Asta, M, and Wang, LW

Abstract

Classical Monte Carlo simulation of the Heisenberg model poorly describes many thermodynamic phenomena due to its neglect of the quantum nature of spins. Alternatively, we discuss how to semiclassically approach the quantum problem and demonstrate a simple method for introducing a locally approximate form of spin quantization. While the procedure underestimates magnetic short-range order, our results suggest a simple correction for recovering realistic spin–spin correlations above the critical temperature. Moreover, ensemble fluctuations are found to provide reasonably accurate thermodynamics, largely reproducing quantum mechanically calculated heat capacities and experimental magnetometry for ferromagnetic Fe and antiferromagnetic RbMnF3. Extensions of the method are proposed to address remaining inaccuracies.

Published
2022

18. AB0548 EFFICACY AND SAFETY OF NIPOCALIMAB IN ADULT PATIENTS WITH ACTIVE SYSTEMIC LUPUS ERYTHEMATOSUS: DESIGN OF A PHASE 2 STUDY

Author

Liu-Walsh, F., primary, Hartingsveldt, B. V., additional, Zuraw, Q., additional, Hoffman, R. W., additional, Rooney, T., additional, Gao, S., additional, Karpouzas, G., additional, Gordon, R., additional, Leu, J. H., additional, Calderon, C., additional, Zazzetti, F., additional, Stevens, A. M., additional, and Vratsanos, G., additional

Published
2023
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24. Prebiotic Colloidal Oat Supports the Growth of Cutaneous Commensal Bacteria Including S. epidermidis and Enhances the Production of Lactic Acid

Author

Liu-Walsh F, Tierney NK, Hauschild J, Rush AK, Masucci J, Leo GC, and Capone KA

Subjects
atopic dermatitis • dry skin • colloidal oat • skin barrier function • skin microbiome • skin moisturizer • s. epidermidis, integumentary system, digestive, oral, and skin physiology, lcsh:Dermatology, lcsh:RL1-803
Abstract

Fang Liu-Walsh,1 Neena K Tierney,1 James Hauschild,2 Allison K Rush,1 John Masucci,3 Gregory C Leo,3 Kimberly A Capone1 1Johnson & Johnson Consumer Inc., Skillman, NJ, USA; 2Johnson & Johnson Microbiological Quality & Sterility Assurance, Johnson & Johnson Inc., Raritan, NJ, USA; 3Janssen R&D Companies of Johnson & Johnson, Springhouse, PA, USACorrespondence: Fang Liu-Walsh; Kimberly A CaponeJohnson & Johnson Consumer Inc., 199 Grandview Road, Skillman, NJ 08558-9418, USAEmail fliuwals@ITS.JNJ.com; KCapone@its.jnj.comBackground: Multiple skin conditions have been associated with alterations in the diversity and composition of the skin microbiome, including dry skin and atopic dermatitis. In these conditions, a number of commensal skin bacteria have been implicated in supporting a healthy skin barrier, including Staphylococcus epidermidis. Recent clinical studies in patients with mild-to-moderate atopic dermatitis and dry/itchy skin have shown significantly improved skin barrier function and microbial diversity upon treatment with moisturizers containing 1% colloidal oat. We hypothesized that direct use of colloidal oat by skin microbes contributes to these therapeutic benefits.Methods: Skin bacterial growth was assessed using the BacT/ALERT system. Staphylococcus aureus and S. epidermidis growth rates and metabolism were compared in an in vitro competition assay. The effect of a 1% colloidal oat–containing moisturizer on lactic acid content of the stratum corneum was clinically assessed in subjects with moderate-to-severe dry skin. S. epidermidis gene expression was evaluated by next-generation mRNA sequencing. Short-chain fatty acids were quantified in bacterial culture supernatants.Results: In vitro, colloidal oat increased the growth rate of S. epidermidis vs S. aureus, as well as the metabolism of S. epidermidis. Colloidal oat also significantly increased lactic acid concentrations in supernatants of both strains and decreased pH, consistent with clinical findings that 6-week use of a 1% colloidal oat–containing lotion significantly increased lactic acid on dry skin. Further analyses suggest that colloidal oat alters the gene expression profile of S. epidermidis.Conclusion: Colloidal oat directly affects the growth, metabolism, lactic acid production, and gene expression of skin commensal bacteria, as shown via in vitro studies. The increased production of lactic acid reflects clinical observations with colloidal oat–containing skin moisturizers. Our findings suggest a new mechanism for colloidal oat as a skin prebiotic, which may contribute to improvements in skin and microbiome diversity in various skin conditions, including dry/itchy skin and atopic dermatitis.Keywords: atopic dermatitis, dry skin, colloidal oat, skin barrier function, skin microbiome, skin moisturizer, S. epidermidis

Published
2021

27. Characteristics of SARS-CoV-2 variants of concern B.1.1.7, B.1.351 or P.1: data from seven EU/EEA countries, weeks 38/2020 to 10/2021

Author

Funk T., Pharris A., Spiteri G., Bundle N., Melidou A., Carr M., Gonzalez G., Garcia-Leon A., Crispie F., O'Connor L., Murphy N., Mossong J., Vergison A., Wienecke-Baldacchino A. K., Abdelrahman T., Riccardo F., Stefanelli P., Di Martino A., Bella A., Lo Presti A., Casaca P., Moreno J., Borges V., Isidro J., Ferreira R., Gomes J. P., Dotsenko L., Suija H., Epstein J., Sadikova O., Sepp H., Ikonen N., Savolainen-Kopra C., Blomqvist S., Mottonen T., Helve O., Gomes-Dias J., Adlhoch C., Macori G., Russell L., Yandle Z., Bennett C., O'Byrne E., Murphy A., Tuite G., Conroy A., Duffy M., Morley U., Keoghan B., Ford I., Kennedy M., McDonnell S., Flynn A., Clarke A., Crowley A., Martin C., Kelly E., Foxton J., Hare D., Dunford L., Connell J., Moran J., Dean J., Fanning S., Rajan L., De Gascun C., Kenny J., Cotter P., Walsh C., Lawton E., Fitzpatrick A., Mullins E., Della Bartola M., McCabe M., Stapleton P., Meaney C., Fanning L., Prentice M., MacSharry J., Dempsey C., Mallon P., Leon A., Chaturvedi A., Coughlan S., McAndrew G., Reddington K., Walsh F., Fitzpatrick D., Smyth C., O'Dwyer T., Chambers T., Clarke L., Jebb D., Klopp J., Kavanagh D., Haslam K., Buckley P., Lemass K., Fitzpatrick F., Burns K., Cafferkey J., Richmond A., Foley M., Sanchez-Morgado J., Chalapati S., Pinnamaneni N., Crosbie C., Limbachiya D., Tinago W., Garcia Leon A. A., Miles S., Alalwan D., Negi R., Macken A., Feeney E., Kenny G., McCann K., Kelly N., Blair M., McCann R., Kenny C., O'Brion C., Waqas S., Savinelli S., Doran P., Bracken T., Varghese P., Lambert J. S., Cotter A., Muldoon E., Sheehan G., McGinty T., Lambert J., Green S., Leamy K., de Barra E., McConkey S., Kelly C., Horgan M., Sadlier C., Yousif O., O'Donnell J., Fitzgerald M., Petty-Saphon N., Cuddihy J., Fiore S., Fabiani C., Benedetti E., Di Mario G., Facchini M., Puzelli S., Calzoletti L., Fontana S., Venturi G., Fortuna C., Marsili G., Amendola A., Stuppia L., Savini G., Picerno A., Lopizzo T., Dell'Edera D., Minchella P., Greco F., Mauro M. V., Viglietto G., Atripaldi L., Limone A., D'Agaro P., Licastro D., Marcello A., Capobianchi M. R., Icardi G., Bruzzone B., Lillo F., Orsi A., Pariani E., Baldanti F., Gismondo M. R., Maggi F., Caruso A., Ceriotti F., Boniotti B., Bagnarelli P., Garofalo S., Scutella M., Pagani E., Collini L., Ghisetti V., Ru G., Chironna M., Parisi A., Rubino S., Serra C., Piras G., Coghe F., Vitale F., Tramuto F., Scalia G., Palermo C. I., Mancuso G., Di Gaudio F., Vullo S., Reale S., Cusi M. G., Rossolini G. M., Pistello M., Mencacci A., Camilloni B., Severini S., Di Benedetto M., Calogero T., Monne I., Biscaro V., COVID Study Groups, Funk T., Pharris A., Spiteri G., Bundle N., Melidou A., Carr M., Gonzalez G., Garcia-Leon A., Crispie F., O'Connor L., Murphy N., Mossong J., Vergison A., Wienecke-Baldacchino A.K., Abdelrahman T., Riccardo F., Stefanelli P., Di Martino A., Bella A., Lo Presti A., Casaca P., Moreno J., Borges V., Isidro J., Ferreira R., Gomes J.P., Dotsenko L., Suija H., Epstein J., Sadikova O., Sepp H., Ikonen N., Savolainen-Kopra C., Blomqvist S., Mottonen T., Helve O., Gomes-Dias J., Adlhoch C., Macori G., Russell L., Yandle Z., Bennett C., O'Byrne E., Murphy A., Tuite G., Conroy A., Duffy M., Morley U., Keoghan B., Ford I., Kennedy M., McDonnell S., Flynn A., Clarke A., Crowley A., Martin C., Kelly E., Foxton J., Hare D., Dunford L., Connell J., Moran J., Dean J., Fanning S., Rajan L., De Gascun C., Kenny J., Cotter P., Walsh C., Lawton E., Fitzpatrick A., Mullins E., Della Bartola M., McCabe M., Stapleton P., Meaney C., Fanning L., Prentice M., MacSharry J., Dempsey C., Mallon P., Leon A., Chaturvedi A., Coughlan S., McAndrew G., Reddington K., Walsh F., Fitzpatrick D., Smyth C., O'Dwyer T., Chambers T., Clarke L., Jebb D., Klopp J., Kavanagh D., Haslam K., Buckley P., Lemass K., Fitzpatrick F., Burns K., Cafferkey J., Richmond A., Foley M., Sanchez-Morgado J., Chalapati S., Pinnamaneni N., Crosbie C., Limbachiya D., Tinago W., Garcia Leon A.A., Miles S., Alalwan D., Negi R., Macken A., Feeney E., Kenny G., McCann K., Kelly N., Blair M., McCann R., Kenny C., O'Brion C., Waqas S., Savinelli S., Doran P., Bracken T., Varghese P., Lambert J.S., Cotter A., Muldoon E., Sheehan G., McGinty T., Lambert J., Green S., Leamy K., de Barra E., McConkey S., Kelly C., Horgan M., Sadlier C., Yousif O., O'Donnell J., Fitzgerald M., Petty-Saphon N., Cuddihy J., Fiore S., Fabiani C., Benedetti E., Di Mario G., Facchini M., Puzelli S., Calzoletti L., Fontana S., Venturi G., Fortuna C., Marsili G., Amendola A., Stuppia L., Savini G., Picerno A., Lopizzo T., Dell'Edera D., Minchella P., Greco F., Mauro M.V., Viglietto G., Atripaldi L., Limone A., D'Agaro P., Licastro D., Marcello A., Capobianchi M.R., Icardi G., Bruzzone B., Lillo F., Orsi A., Pariani E., Baldanti F., Gismondo M.R., Maggi F., Caruso A., Ceriotti F., Boniotti B., Bagnarelli P., Garofalo S., Scutella M., Pagani E., Collini L., Ghisetti V., Ru G., Chironna M., Parisi A., Rubino S., Serra C., Piras G., Coghe F., Vitale F., Tramuto F., Scalia G., Palermo C.I., Mancuso G., Di Gaudio F., Vullo S., Reale S., Cusi M.G., Rossolini G.M., Pistello M., Mencacci A., Camilloni B., Severini S., Di Benedetto M., Calogero T., Monne I., Biscaro V., and COVID Study Groups

Subjects
Infecções Respiratórias, 2019-20 coronavirus outbreak, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Critical Care, Epidemiology, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), variants of concern, Settore MED/42 - Igiene Generale E Applicata, 03 medical and health sciences, 0302 clinical medicine, Virology, Internal medicine, Medicine, Humans, Intensive care admission, 030212 general & internal medicine, COVID-19, Europe, SARS-CoV-2, surveillance, Surveillance, business.industry, 030503 health policy & services, Public Health, Environmental and Occupational Health, Odds ratio, Confidence interval, Variants of Concern, COVID-19, Europe, SARS-CoV-2, surveillance, variants of concern, 0305 other medical science, business, Rapid Communication, Human
Abstract

COVID study groups - PORTUGAL: Portuguese Laboratory Network for the Diagnosis of COVID-19 and Public Health Department of the Health Administrative Regions, Physicians that provided data and samples from suspected cases and SARS-CoV-2 genetic characterization. INSA laboratory team for the diagnosis of SARS-CoV-2. Algarve Biomedical Center and Unilabs. We compared 19,207 cases of SARS-CoV-2 variant B.1.1.7/S gene target failure (SGTF), 436 B.1.351 and 352 P.1 to non-variant cases reported by seven European countries. COVID-19 cases with these variants had significantly higher adjusted odds ratios for hospitalisation (B.1.1.7/SGTF: 1.7, 95% confidence interval (CI): 1.0-2.9; B.1.351: 3.6, 95% CI: 2.1-6.2; P.1: 2.6, 95% CI: 1.4-4.8) and B.1.1.7/SGTF and P.1 cases also for intensive care admission (B.1.1.7/SGTF: 2.3, 95% CI: 1.4-3.5; P.1: 2.2, 95% CI: 1.7-2.8). ECDC internal funds. The ICSC and the AIID Cohort are supported by Science Foundation Ireland under the Science Foundation Ireland, Enterprise Ireland, IDA Ireland COVID-19 Rapid Response Funding Call (Grant number: COVID-RRC 20/COV/0103 and COVID-RRC 20/COV/0305). info:eu-repo/semantics/publishedVersion

Published
2021

42. statSuma: automated selection and performance of statistical comparisons for microbiome studies

Author

Leigh, R.J., Murphy, R.A., Walsh, F., Leigh, R.J., Murphy, R.A., and Walsh, F.

Abstract

There is a reproducibility crisis in scientific studies. Some of these crises arise from incorrect application of statistical tests to data that follow inappropriate distributions, have inconsistent equivariance, or have very small sample sizes. As determining which test is most appropriate for all data in a multi-categorical study (such as comparing taxa between sites in microbiome studies), we present statsSuma, an interactive Python notebook (which can be run from any desktop computer using the Google Colaboratory web service) and does not require a user to have any programming experience. This software assesses underlying data structures in a given dataset to advise what pairwise or listwise statistical procedure would be best suited for all data. As some users may be interested in further mining specific trends, statSuma performs 5 different two-tailed pairwise tests (Student’s t-test, Welch’s t-test, Mann-Whitney U-test, Brunner-Munzel test, and a pairwise Kruskal-Wallis H-test) and advises the best test for each comparison. This software also advises whether ANOVA or a multi-categorical Kruskal-Wallis H-test is most appropriate for a given dataset and performs both procedures. A data distribution-vs-Gaussian distribution plot is produced for each taxon at each site and a variance plot between all combinations of 2 taxa at each site are produced so Gaussian tests and variance tests can be visually confirmed alongside associated statistical determinants.

Published
2021

43. uniForest: an unsupervised machine learning technique to detect outliers and restrict variance in microbiome studies

Author

Leigh, R.J., Murphy, R.A., Walsh, F., Leigh, R.J., Murphy, R.A., and Walsh, F.

Abstract

Isolation Forests is an unsupervised machine learning technique for detecting outliers in continuous datasets that does not require an underlying equivariant or Gaussian distribution and is suitable for use on small datasets. While this procedure is widely used across quantitative fields, to our knowledge, this is the first attempt to solely assess its use for microbiome datasets. Here we present uniForest, an interactive Python notebook (which can be run from any desktop computer using the Google Colaboratory web service) for the processing of microbiome outliers. We used uniForest to apply Isolation Forests to the Healthy Human Microbiome project dataset and imputed outliers with the mean of the remaining inliers to maintain sample size and assessed its prowess in variance reduction in both community structure and derived ecological statistics (-diversity). We also assessed its functionality in anatomical site made available under aCC-BY 4.0 International license. (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is bioRxiv preprint doi: https://doi.org/10.1101/2021.05.17.444491; this version posted May 17, 2021. The copyright holder for this preprint 2 differentiation (pre- and postprocessing) using principal component analysis, dissimilarity matrices, and ANOSIM. We observed a minimum variance reduction of 81.17% across the entire dataset and in alpha diversity at the Phylum level. Application of Isolation Forests also separated the dataset to an extremely high specificity, reducing variance within taxa samples by a minimum of 81.33%. It is evident that Isolation Forests are a potent tool in restricting the effect of variance in microbiome analysis and has potential for broad application in studies where high levels of microbiome variance is expected. This software allows for clean analyses of otherwise noisy datasets.

Published
2021

48. Corrosion of Copper, Cupronickel, Nickel Aluminium Bronze and Super-Duplex Stainless Steel Rotating Cylinder Electrodes in Seawater under Turbulent Flow Conditions

Author

Walsh, F. C., Barker, B. D., Stokes, K. R., and Kear, G.

Abstract

The corrosion of uncoated metals in a marine environment restricts the choice of suitable engineering metals and alloys. Anodic dissolution of metal and cathodic reduction of oxygen are important processes and formation of a surface oxide film can affect both electrode reactions. Charge transfer and mass transfer data can provide information on corrosion rate and mechanism. Several metals and alloys having a history of use in marine engineering are considered, including copper, two copper alloys (cupronickel and nickel aluminium bronze) plus a more recent addition to strong, corrosion resistant alloys (a super duplex stainless steel). The rotating cylinder electrode offers the benefits of a controlled, turbulent flow of electrolyte, facilitating controlled mass transfer in a compact cell geometry which is well-suited to bench-top operation. These features are illustrated using a variety of electrochemical techniques, including open-circuit potential vs time monitoring, linear sweep voltammetry, rotation speed step- or potential step current transients and linear polarisation resistance measurements. Seawater taken from Langstone Harbour, Hampshire, UK, was filtered, air-saturated, pH 8.0 and maintained at 25 °C. Dimensionless group correlations and graphical plots (using an analogous approach to the Koutecky-Levich equation for an RDE) enabled contributions of charge transfer-, mixed- and mass transfer- controlled data to be appreciated, allowing the Tafel slopes of electrode reactions, the diffusion coefficient of dissolved oxygen, the mass transfer coefficient for oxygen reduction and the mean corrosion rate to be estimated.

Published
2024
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50. Global occurrence, chemical properties, and ecological impacts of e-wastes (IUPAC technical report)

Author

Bisschop, Lieselot, Purchase, D, Abbasi, G, Chatterjee, D, Ekberg, C, Ermolin, M, Fedotov, P, Garelick, H, Isimekhai, K, Kandile, NG, Lundström, M, Matharu, A, Miller, BW, Pineda, A, Popoola, OE, Retegan, T, Ruedel, H, Serpe, A, Sheva, Y, Surati, KR, Walsh, F, Wilson, BP, Wong, M, Bisschop, Lieselot, Purchase, D, Abbasi, G, Chatterjee, D, Ekberg, C, Ermolin, M, Fedotov, P, Garelick, H, Isimekhai, K, Kandile, NG, Lundström, M, Matharu, A, Miller, BW, Pineda, A, Popoola, OE, Retegan, T, Ruedel, H, Serpe, A, Sheva, Y, Surati, KR, Walsh, F, Wilson, BP, and Wong, M

Published
2020

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