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Feasibility of classification of drainage and river water quality using machine learning methods based on multidimensional data from a gas sensor array.
Ann Agric Environ Med
December 2024
Faculty of Environmental Engineering, Lublin University of Technology, Lublin, Poland.
Objective: The aim of the study is to verify whether the electronic nose system - an array of 17 gas sensors with a signal analysis system - is a useful tool for the classification and preliminary assessment of the quality of drainage water.
Material And Methods: Water samples for analysis were collected in the Park Ludowy (People's Park), located next to the Bystrzyca River, near the city center of Lublin in eastern Poland. Drainage water was sampled at 4 different points.
Fabrication of 3D printed hollow spheres for quality control and feasibility for use with xSPECT bone.
Phys Eng Sci Med
December 2024
Department of Medical Imaging and Nuclear Medicine, Gosford Hospital, Building K3, Gosford, NSW, Australia.
Quantitative accuracy and constancy of Siemens xSPECT Bone quantitative reconstruction algorithm (xBone) can be monitored using activity-filled hollow spheres, which could be 3D printed (3DP) to increase accessibility to phantoms. One concern is that 3D prints can have air gaps in the walls which may pose issues for attenuation correction and xBone tissue zone mapping. This study assessed the feasibility of using 3DP spheres (3DP-S) with materials PLA, PETG and Resin as substitutes for commercial hollow spheres (C-S).
View Article and Find Full Text PDFCervicothoracic volumetric bone mineral density assessed by opportunistic QCT may be a reliable marker for osteoporosis in adults.
Osteoporos Int
December 2024
Department of Diagnostic and Interventional Neuroradiology, Klinikum Rechts Der Isar, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Str 22, 81675, Munich, Germany.
Unlabelled: This study aimed to validate the correlation between volumetric bone mineral density in the cervicothoracic and lumbar spine using measurements from opportunistic CT scans. The bone density assessment proved feasible, allowing us to propose optimal cut-off values for diagnosing osteoporosis and predicting vertebral fractures in the cervical and thoracic spine.
Objectives: To investigate the performance of cervicothoracic volumetric bone mineral density (vBMD), obtained through opportunistic quantitative computed tomography (QCT), in discriminating patients with/without osteoporosis and with/without vertebral fractures (VFs), using lumbar vBMD as the reference.
Rethinking the use of redox probes for the detection of electroactive proteins with electrochemical sensors modified with molecularly imprinted polymers.
Biosens Bioelectron
December 2024
Cnam, SATIE Laboratory, UMR, CNRS 8029, 292 rue Saint Martin, 75003, Paris, France. Electronic address:
This study aims to demonstrate that redox couples, regardless of their electrical charges, are unnecessary for detecting and quantifying electroactive proteins using an electrochemical sensor functionalized with a molecularly imprinted polymer. Our approach involved designing a polydopamine imprinted biosensor for detecting bovine serum albumin as the model protein. Electrochemical measurements were conducted in a phosphate-buffered solution (PBS) and solutions containing the negatively charged hexacyanoferrate, the neutral ferrocene, or the positively charged hexaammineruthenium (III) probes.
View Article and Find Full Text PDFRapid detection of microplastics in chicken feed based on near infrared spectroscopy and machine learning algorithm.
Spectrochim Acta A Mol Biomol Spectrosc
December 2024
College of Artificial Intelligence, Nankai University, Tianjin 300350, China.
The main objective of this study was to evaluate the potential of near infrared (NIR) spectroscopy and machine learning in detecting microplastics (MPs) in chicken feed. The application of machine learning techniques in building optimal classification models for MPs-contaminated chicken feeds was explored. 80 chicken feed samples with non-contaminated and 240 MPs-contaminated chicken feed samples including polypropylene (PP), polyvinyl chloride (PVC), and polyethylene terephthalate (PET) were prepared, and the NIR diffuse reflectance spectra of all the samples were collected.
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