Publications by authors named "Rachel Lukowicz"
Article Synopsis
- Myopia, a common eye disorder in children, is linked to the GJD2 genetic locus, but its specific role in eye development is not well understood.
- Research in zebrafish shows that removing certain GJD2 gene orthologs (gjd2a and gjd2b) affects eye shape and vision.
- Specifically, depletion of gjd2a causes hyperopia and changes in retinal function, while gjd2b loss leads to cataracts and eye elongation, highlighting their critical roles in eye health.
Chemical warfare agents pose significant threats in the 21st century, especially for armed forces. A colorimetric detection array was developed to identify warfare mimics, including mustard gas and nerve agents. In total, 188 sensors were screened to determine the best sensor performance, in order to identify warfare mimics 2-chloro ethyl ethylsulfide, 2-2'-thiodiethanol, trifluoroacetic acid, methylphosphonic acid, dimethylphosphite, diethylcyanophosphonate, and diethyl (methylthiomethyl)phosphonate.
View Article and Find Full Text PDFBiofilms are microbial communities attached to a surface and embedded in an extracellular polymeric substance which provides for the protection, stability and nutrients of the various bacterial species indwelling. These communities can build up in a variety of different environments from industrial equipment to medical devices resulting in damage, loss of productivity and disease. They also have great potential for economic and societal benefits as bioremediation agents and renewable energy sources.
View Article and Find Full Text PDFSolid supported colorimetric sensing arrays have the advantage of portability and ease of use when deployed in the field, such as crime scenes, disaster zones, or in war zones, but many sensor arrays require complex fabrication methods. Here, we report a practical method for the fabrication of 4 × 4 colorimetric sensor arrays, which are printed on nylon membranes, using a commercially available inkjet printer. In order to test the efficacy of the printed arrays, they were exposed to 43 analytes at concentrations ranging from 0.
View Article and Find Full Text PDFArticle Synopsis
- Colorimetric sensor arrays are emerging as effective tools for identifying and quantifying chemical substances, using data from multiple sensors to analyze various acid and basic samples.
- The study employed chemometric methods like PCA, HCA, and LDA to visualize the data, successfully distinguishing between different analyte clusters and concentrations.
- Results showed that LDA had a high accuracy rate of 95 out of 96 analyte identifications, while KNN and HQI also effectively identified the analytes, with solvent and image effects having no impact on the methods used.
Article Synopsis
- The study investigates the use of RGB image analysis from colorimetric sensor arrays to identify and quantify different chemical analytes, leveraging image analysis software like ImageJ.!
- Nine chemometric methods were evaluated for their effectiveness in classifying various solutions of acetic acid, malonic acid, lysine, and ammonia, with LDA and KNN performing particularly well with over 90% accuracy.!
- This research expands on existing literature by comparing a broader range of chemometric techniques, highlighting that traditional methods such as PCA, LDA, HCA, and KNN are the most commonly used for colorimetric array analysis.
Article Synopsis
- * A unified detection technology that analyzes threats in real-time is essential for effective reconnaissance missions.
- * The review highlights colorimetric sensor arrays, which change colors to indicate the presence of dangerous substances, and discusses future technologies for hazardous substance detection in places like war zones.