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Natural deep eutectic solvent-based liquid phase microextraction in a 3D-Printed millifluidic flow cell for the on-line determination of thiabendazole in juice samples.
Anal Chim Acta
February 2025
Departamento de Medio Ambiente y Agronomía, INIA-CSIC, Carretera de A Coruña km. 7.5, 28040, Madrid, Spain. Electronic address:
Background: At present, 3D printing technology is becoming increasingly popular in analytical chemistry because it enables the rapid and cost-effective manufacture of sample preparation devices, particularly in flow-based operation, opening up new opportunities for the development of automated analytical methods. In parallel, the use of miniaturized methods and sustainable solvents in sample preparation is highly recommended. Accordingly, in this work, a 3D-printed millifluidic device was designed and used for the on-line natural deep eutectic solvent (NADES)-based liquid phase microextraction (LPME) coupled to a spectrofluorometer for, as a proof of concept, the determination of thiabendazole (TBZ) in fruit juice samples.
View Article and Find Full Text PDFSimultaneous and Ultraspecific Optical Detection of Multiple miRNAs Using a Liquid Flow-Based Microfluidic Assay.
ACS Appl Mater Interfaces
January 2025
Department of Chemistry, Yeungnam University, 280 Daehak-ro, Gyeongsan-si, Gyeongsangbuk-do 38541, Republic of Korea.
Recent studies have reported that the cause and progression of many diseases are closely related to complex and diverse gene regulation involving multiple microRNAs (miRNAs). However, most existing methods for miRNA detection typically deal with one sample at a time, which limits the achievement of high diagnostic accuracy for diseases associated with multiple gene dysregulations. Herein, we develop a liquid flow-based microfluidic optical assay for the simple and reliable detection of two different target miRNAs simultaneously at room temperature without any enzymatic reactions.
View Article and Find Full Text PDFTongue Muscle Training App for Middle-Aged and Older Adults Incorporating Flow-Based Gameplay: Design and Feasibility Pilot Study.
JMIR Serious Games
January 2025
Department of Interaction Design, National Taipei University of Technology, Rm.701-4, Design Building, No.1, Sec.3, Chung-hsiao E. Rd, Taipei, 10608, Taiwan, 886 912-595408, 886 2-87732913.
Background: Complications due to dysphagia are increasingly prevalent among older adults; however, the tediousness and complexity of conventional tongue rehabilitation treatments affect their willingness to rehabilitate. It is unclear whether integrating gameplay into a tongue training app is a feasible approach to rehabilitation.
Objective: Tongue training has been proven helpful for dysphagia treatment.
Data Flow-Based Strategies to Improve the Interpretation and Understanding of Machine Learning Models.
Bioengineering (Basel)
November 2024
CT Children's, University of Connecticut School of Medicine, 282 Washington Ave, Hartford, CT 06106, USA.
Data flow-based strategies that seek to improve the understanding of A.I.-based results are examined here by carefully curating and monitoring the flow of data into, for example, artificial neural networks and random forest supervised models.
View Article and Find Full Text PDFFlow-Based Coronary Artery Bypass Graft Patency Metrics: Uncertainty Quantification Simulations to Guide Development.
Cardiovasc Eng Technol
January 2025
Transonic Systems Inc., 34 Dutch Mill Road, Ithaca, New York, 14850, USA.
Purpose: Over time, transit time flow measurement (TTFM) has proven itself as a simple and effective tool for intra-operative evaluation of coronary artery bypass grafts (CABGs). However, metrics used to screen for possible technical error show considerable spread, preventing the definition of sharp cut-off values to distinguish between patent, questionable, and failed grafts. The simulation study presented in this paper aims to quantify this uncertainty for commonly used patency metrics, and to identify the most important physiological parameters influencing it.
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