11 research outputs found

    Enhanced Luminol Chemiluminescence with Oxidase-like Properties of FeOOH Nanorods for the Sensitive Detection of Uric Acid

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    FeOOH nanorods, as one-dimensional nanomaterials, have been widely used in many fields due to their stable properties, low cost, and easy synthesis, but their application in the field of chemiluminescence (CL) is rarely reported. In this work, FeOOH nanorods were synthesized by a simple and environmentally friendly one-pot hydrothermal method and used for the first time as a catalyst for generating strong CL with luminol without additional oxidant. Remarkably, luminol-FeOOH exhibits about 250 times stronger CL than the luminol-H2O2 system. Its CL intensity was significantly quenched by uric acid. We established a simple, rapid, sensitive, and selective CL method for the detection of uric acid with a linear range of 20–1000 nM and a detection limit of 6.3 nM (S/N = 3). In addition, we successfully applied this method to the detection of uric acid in human serum, and the standard recoveries were 95.6–106.4%

    Mean concentrations (ng mm<sup>-2</sup>) of detected headspace volatiles from four-day old cultures of mountain pine beetle (<i>Dendroctonus ponderosae</i>)-symbiotic fungi: <i>Grosmannia clavigera</i>, <i>Ophiostoma montium</i>, and <i>Leptographium longiclavatum</i>.

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    <p>ANOVA results for among-species differences in mean concentrations for each compound. Means with different letter superscripts are significantly different as indicated by Tukey Honest Significant Difference tests. Compounds not detected in headspace collections of a given fungus are indicated with “ND.”</p

    The composition of headspace volatile (rows) profiles from four-day old <i>Ophiostom montium</i> (Opmo), <i>Leptographium longiclavatum</i> (Lelo), and <i>Grosmannia clavigera</i> (Grcl) cultures.

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    <p>Cells contain the percentage of each volatile out of the total concentration of all detected volatiles by fungus. The dendrogram shows similarities among fungi based on volatile profile compositions as indicated by hierarchical clustering.</p
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