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New Method Developed to Detect Ultra-Trace Levels of Lead in Drinking Water
April 20th 2023Lead contamination in drinking water remains a public health concern, and a new RE-LIBS-LIF method can help detect trace amounts of lead in drinking water, which will have positive implications for human health.
Machine Learning-Enabled NIR Spectroscopy for Pharmaceutics Data Selection
April 19th 2023This study is an important contribution to the field of machine learning-enabled NIR spectroscopy, offering researchers a systematic method for selecting representative subsamples from existing data with quality measures, diagnostic tools, and visualization techniques.
Achieving Simplified and Tunable Flexibility in Carborane-Based Emitters
April 18th 2023This study presents a novel approach to achieving simplified and tunable flexibility in carborane-based emitters for quantitative vapochromic VOC sensing, which could be used to monitor air quality and volatile organic compounds.
ATR-FT-IR Spectroscopy Offers a New Cost-effective Method for Pharmaceutical Heparin Analysis
April 17th 2023In a recent study, attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FT-IR) was proven to be a cost-effective method for analyzing herapins in pharmaceutical applications.
A New Colorimetric Chemisensor for Rapid Detection of Lead in Water is Developed
April 14th 2023The development of a new benzothiazole azo dye sensor (BTS) highlights the importance of interdisciplinary research in materials chemistry and analytical chemistry for designing and synthesizing new materials with potential applications in chemical sensing and environmental monitoring.
Terahertz Spectroscopy Used to Characterize Liquid Crystals
April 13th 2023A research team from Botswana International University of Science and Technology investigated 4-octyloxybenzoic acid, 4-decyloxybenzoic acid, and 4-hexylbenzoic acid liquid crystals, which highlighted the robustness of FT-IR and its potential in identifying materials with similar attributes.
Robust Multiblock Partial Least Squares Modeling Algorithm Developed by Researchers
April 12th 2023A new algorithm combines iterative reweighted partial least squares (irPLS) with the block order and scale independent component-wise mukltiblock LS modeling to deliver more robust multiblock predictive modeling.