This paper describes a simple modification to traditional confocal fluorescence detection that greatly improves signal-to-noise (s/n) for the high-speed analysis of droplet streams. Rather than using the conventional epi geometry, illumination of the droplet was in the form of a line that is orthogonal to both the direction of flow and the light-collection objective. In contrast to the epi geometry where we observed high levels of scattering background from the droplets, we detected more than 10-fold less background (depending on the laser power used) when orthogonal-line-confocal illumination was used. We characterized this improvement using a standard microfluidic platform over a range of analyte concentrations and observed an improvement in limits of detection of greater than 10. Using this method, we were able to analyze picomolar concentrations of analytes contained within picoliter-volume droplets at a rate of greater than 350 droplets per second.
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http://dx.doi.org/10.1021/ac102173m | DOI Listing |
Sci Rep
December 2024
Gansu Provincial Ecological Environment Engineering Assessment Center, Lanzhou, 730000, People's Republic of China.
In this study, polyethylene glycol (PEG) and dextran (Dex) were chemically modified to obtain amino-functionalized PEG (PEG-(NH)) and oxidized dextran (ODex). They were subsequently reacted via -NH and -CHO groups to synthesize a macromolecular Schiff base particle. The structures, morphologies, and thermal properties of the macromolecular Schiff base particle were characterized using Fourier-transform infrared spectroscopy (FT-IR), scanning electron microscopy (SEM), and thermogravimetry analysis (TGA).
View Article and Find Full Text PDFSci Rep
December 2024
Faculté des Sciences et Technologies, LEMTA - Université de Lorraine - CNRS UMR 7563, Boîte Postale 70239, Vandoeuvre les Nancy cedex, 54506, France.
The wetting characteristics of fluids play a crucial role in various fields of interface and surface science. Contact angle serves as a fundamental indicator of wetting behavior. However, accurate quantification of wetting phenomena even at the macroscale often poses challenges, particularly due to the hysteresis between receding and advancing contact angles.
View Article and Find Full Text PDFFerredoxin 1 and 2 (FDX1/2) constitute an evolutionarily conserved FDX family of iron-sulfur cluster (ISC) containing proteins. FDX1/2 are cognate substrates of ferredoxin reductase (FDXR) and serve as conduits for electron transfer from NADPH to a set of proteins involved in biogenesis of steroids, hemes, ISC and lipoylated proteins. Recently, we showed that Fdx1 is essential for embryonic development and lipid homeostasis.
View Article and Find Full Text PDFCancer Genomics Proteomics
December 2024
Centre for Research and Development of Medical Diagnostic Laboratories, Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand;
Background/aim: Cholangiocarcinoma (CCA) is an aggressive hepatobiliary malignancy characterized by genomic heterogeneity. KRAS mutations play a significant role in influencing patient prognosis and guiding therapeutic decision-making. This study aimed to determine the prevalence and prognostic significance of KRAS mutations in CCA, asses the detection of KRAS G12/G13 mutations in plasma cell-free DNA (cfDNA), and evaluate the prognostic value of KRAS G12/G13 mutant allele frequency (MAF) in cfDNA in relation to clinicopathological data and patient survival.
View Article and Find Full Text PDFBiosensors (Basel)
December 2024
Department of Smart Health Science and Technology, Kangwon National University, Chuncheon 24341, Republic of Korea.
Microfluidic devices have revolutionized biosensing by enabling precise manipulation of minute fluid volumes across diverse applications. This review investigates the incorporation of machine learning (ML) into the design, fabrication, and application of microfluidic biosensors, emphasizing how ML algorithms enhance performance by improving design accuracy, operational efficiency, and the management of complex diagnostic datasets. Integrating microfluidics with ML has fostered intelligent systems capable of automating experimental workflows, enabling real-time data analysis, and supporting informed decision-making.
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