Effect of digestion methods on fluorescence intensity of fluorescent polystyrene (PS) beads was poorly understood, which may affect the accuracy of toxicity test of the fluorescent PS beads exposed to marine organisms. Therefore, six digestion approaches were compared on fluorescence intensities and properties of three commercial fluorescent PS beads. Among all the protocols, the digestion using KOH (10% w/v, 60 °C) (KOH-digestion) had no effect on the fluorescence intensity, morphology and composition of the three fluorescent PS beads. Moreover, the extraction efficiency ≥ 95.3 ± 0.2% of fluorescent PS beads in Daphnia magna and zebrafish, confirming its feasibility in fluorescent PS beads quantitative analysis. However, the fluorescence intensities of fluorescent PS beads digested by other five protocols were significantly decreased, as well as the change of morphology and composition on fluorescent PS beads. Overall, the KOH-digestion is an optimal protocol for extracting fluorescent PS beads in biological samples.
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http://dx.doi.org/10.1016/j.marpolbul.2018.04.056 | DOI Listing |
Talanta
January 2025
Instituto de Historia (IH-CCHS), CSIC, C/ Albasanz 26-28, 28037, Madrid, Spain. Electronic address:
Analysis of glass-based artworks is important for authentication purposes. In recent years, there have been rapid advancements and improvements in the characterization of glass objects using different analytical approaches. The present study presents an interdisciplinary and multi-analytical authentication approach that provides useful tools and markers to unmask possible imitations, counterfeiting, and forgeries in Cultural Heritage glass beads by comparing the composition of historical and modern glass beads.
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December 2024
School of Environment, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China. Electronic address:
Tetracycline (TC) is widely used in veterinary medicine and animal feed; however, TC residues in food pose a risk to human health. Thus, the sensitive and selective detection of TC is needed to ensure food safety. Herein, we developed a CRISPR-Cas12a biosensor with competitive aptamer binding to detect TC residues.
View Article and Find Full Text PDFNat Food
January 2025
College of Food Science and Technology, Huazhong Agricultural University, Wuhan, China.
Accurate, sensitive and multiplexed detection of food-borne pathogens is crucial for assessing food safety risks. Here we present a digital DNA-amplification-free nucleic acid detection assay to achieve multiplexed and ultrasensitive detection of three food-borne pathogens. We used mesophilic Clostridium butyricum argonaute and magnetic beads in a digital carrier system (d-MAGIC).
View Article and Find Full Text PDFExp Neurol
December 2024
Department of Neurology, Henry Ford Health System, Detroit, MI 48202, United States of America. Electronic address:
Dendritic and axonal plasticity, which mediates neurobiological recovery after a stroke, critically depends on the mitochondrial function of neurons. To investigate, in vivo, neuronal mitochondrial function at the stroke recovery stage, we employed Mito-tag mice combined with cerebral cortical infection of AAV9 produced from plasmids carrying Cre-recombinase controlled by two neuronal promoters, synapsin-I (SYN1) and calmodulin-kinase IIa to induce expression of a hemagglutinin (HA)-tagged enhanced green fluorescence protein (EGFP) that localizes to mitochondrial outer membranes of SYN1 positive (SYN) and CaMKIIa positive (CaMKIIa) neurons. These mice were then subjected to permanent middle cerebral artery occlusion (MCAO) and sacrificed 14 days post stroke.
View Article and Find Full Text PDFBiosens Bioelectron
March 2025
Department of Biotechnology, National Formosa University, No. 64, Wunhua Rd, Huwei Township, Yunlin County, 63201, Taiwan. Electronic address:
The EZ DEVICE is an integrated fluorescence microflow cytometer designed for automated cell phenotyping and enumeration using artificial intelligence (AI). The platform consists of a laser diode, optical filter, objective lens, CMOS image sensor, and microfluidic chip, enabling automated sample pretreatment, labeling, and detection within a single compact unit. AI algorithms segment and identify objects in images captured by the CMOS sensor at 532 and 586 nm emission wavelengths.
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