16 research outputs found

    Noncovalent Functionalization of Graphene and Graphene Oxide for Energy Materials, Biosensing, Catalytic, and Biomedical Applications

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    This Review focuses on noncovalent functionalization of graphene and graphene oxide with various species involving biomolecules, polymers, drugs, metals and metal oxide-based nanoparticles, quantum dots, magnetic nanostructures, other carbon allotropes (fullerenes, nanodiamonds, and carbon nanotubes), and graphene analogues (MoS2, WS2). A brief description of pi-pi interactions, van der Waals forces, ionic interactions, and hydrogen bonding allowing noncovalent modification of graphene and graphene oxide is first given. The main part of this Review is devoted, to tailored functionalization for applications in drug delivery, energy materials, solar cells, water splitting, biosensing, bioimaging, environmental, catalytic, photocatalytic, and biomedical technologies. A significant part of this Review explores the possibilities of graphene/graphene oxide-based 3D superstructures and their use in lithium-ion batteries. This Review ends with a look at challenges and future prospects of noncovalently modified graphene and graphene oxideope

    Undertriage of Trauma-Related Deaths in U.S. Emergency Departments

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    Introduction: Accurate field triage of critically injured patients to trauma centers is vital for improving survival. We sought to estimate the national degree of undertriage of trauma patients who die in emergency departments (EDs) by evaluating the frequency and characteristics associated with triage to non-trauma centers. Methods: This was a retrospective cross-sectional analysis of adult ED trauma deaths in the 2010 National Emergency Department Sample (NEDS). The primary outcome was appropriate triage to a trauma center (Level I, II or III) or undertriage to a non-trauma center. We subsequently focused on urban areas given improved access to trauma centers. We evaluated the associations of patient demographics, hospital region and mechanism of injury with triage to a trauma versus non-trauma center using multivariable logistic regression. Results: We analyzed 3,971 included visits, representing 18,464 adult ED trauma-related deaths nationally. Of all trauma deaths, nearly half (44.5%, 95% CI [43.0-46.0]) of patients were triaged to non-trauma centers. In a subgroup analysis, over a third of urban ED visits (35.6%, 95% CI [34.1-37.1]) and most rural ED visits (86.4%, 95% CI [81.5-90.1]) were triaged to non-trauma centers. In urban EDs, female patients were less likely to be triaged to trauma centers versus non-trauma centers (adjusted odds ratio [OR] 0.83, 95% CI [0.70-0.99]). Highest median household income zip codes (≄67,000)werelesslikelytobetriagedtotraumacentersthanlowestmedianincome(67,000) were less likely to be triaged to trauma centers than lowest median income (1-40,999) (OR 0.54, 95% CI [0.43-0.69]). Compared to motor vehicle trauma, firearm trauma had similar odds of being triaged to a trauma center (OR 0.90, 95% CI [0.71-1.14]); however, falls were less likely to be triaged to a trauma center (OR 0.50, 95 %CI [0.38-0.66]). Conclusion: We found that nearly half of all trauma patients nationally and one-third of urban trauma patients, who died in the ED, were triaged to non-trauma centers, and thus undertriaged. Sex and other demographic disparities associated with this triage decision represent targeted opportunities to improve our trauma systems and reduce undertriage

    Undertriage of Trauma-Related Deaths in U.S. Emergency Departments

    No full text
    Introduction: Accurate field triage of critically injured patients to trauma centers is vital for improving survival. We sought to estimate the national degree of undertriage of trauma patients who die in emergency departments (EDs) by evaluating the frequency and characteristics associated with triage to non-trauma centers.Methods: This was a retrospective cross-sectional analysis of adult ED trauma deaths in the 2010 National Emergency Department Sample (NEDS). The primary outcome was appropriate triage to a trauma center (Level I, II or III) or undertriage to a non-trauma center. We subsequently focused on urban areas given improved access to trauma centers. We evaluated the associations of patient demographics, hospital region and mechanism of injury with triage to a trauma versus non-trauma center using multivariable logistic regression.Results: We analyzed 3,971 included visits, representing 18,464 adult ED trauma-related deaths nationally. Of all trauma deaths, nearly half (44.5%, 95%CI [43.0-46.0]) of patients were triaged to non-trauma centers. In a subgroup analysis, over a third of urban ED visits (35.6%, 95% CI [34.1-37.1]) and most rural ED visits (86.4%, 95% CI [81.5-90.1]) were triaged to non-trauma centers. In urban EDs, female patients were less likely to be triaged to trauma centers versus non-trauma centers (adjusted odds ratio [OR] 0.83, 95% CI [0.70-0.99]). Highest median household income zip codes (≄67,000)werelesslikelytobetriagedtotraumacentersthanlowestmedianincome(67,000) were less likely to be triaged to trauma centers than lowest median income (1-40,999) (OR 0.54, 95% CI [0.43-0.69]). Compared to motor vehicle trauma, firearm trauma had similar odds of being triaged to a trauma center (OR 0.90, 95%CI [0.71-1.14]); however, falls were less likely to be triaged to a trauma center (OR 0.50, 95%CI [0.38-0.66]).Conclusion: We found that nearly half of all trauma patients nationally and one-third of urban trauma patients, who died in the ED, were triaged to non-trauma centers, and thus undertriaged. Sex and other demographic disparities associated with this triage decision represent targeted opportunities to improve our trauma systems and reduce undertriage.

    Undertriage of Trauma-Related Deaths in U.S. Emergency Departments

    No full text
    Introduction: Accurate field triage of critically injured patients to trauma centers is vital for improving survival. We sought to estimate the national degree of undertriage of trauma patients who die in emergency departments (EDs) by evaluating the frequency and characteristics associated with triage to non-trauma centers. Methods: This was a retrospective cross-sectional analysis of adult ED trauma deaths in the 2010 National Emergency Department Sample (NEDS). The primary outcome was appropriate triage to a trauma center (Level I, II or III) or undertriage to a non-trauma center. We subsequently focused on urban areas given improved access to trauma centers. We evaluated the associations of patient demographics, hospital region and mechanism of injury with triage to a trauma versus non-trauma center using multivariable logistic regression. Results: We analyzed 3,971 included visits, representing 18,464 adult ED trauma-related deaths nationally. Of all trauma deaths, nearly half (44.5%, 95% CI [43.0-46.0]) of patients were triaged to non-trauma centers. In a subgroup analysis, over a third of urban ED visits (35.6%, 95% CI [34.1-37.1]) and most rural ED visits (86.4%, 95% CI [81.5-90.1]) were triaged to non-trauma centers. In urban EDs, female patients were less likely to be triaged to trauma centers versus non-trauma centers (adjusted odds ratio [OR] 0.83, 95% CI [0.70-0.99]). Highest median household income zip codes (≄67,000)werelesslikelytobetriagedtotraumacentersthanlowestmedianincome(67,000) were less likely to be triaged to trauma centers than lowest median income (1-40,999) (OR 0.54, 95% CI [0.43-0.69]). Compared to motor vehicle trauma, firearm trauma had similar odds of being triaged to a trauma center (OR 0.90, 95% CI [0.71-1.14]); however, falls were less likely to be triaged to a trauma center (OR 0.50, 95 %CI [0.38-0.66]). Conclusion: We found that nearly half of all trauma patients nationally and one-third of urban trauma patients, who died in the ED, were triaged to non-trauma centers, and thus undertriaged. Sex and other demographic disparities associated with this triage decision represent targeted opportunities to improve our trauma systems and reduce undertriage

    Chemical Detection using a Metal-Organic Framework Single Crystal Coupled to an Optical Fiber

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    The quantitative detection and real-time monitoring of target chemicals in the liquid phase are made possible by combining the tailored adsorption properties of metal-organic framework (MOF) material and the precise measuring capabilities of an optical fiber (OF) Fabry-PĂ©rot interferometer (FPI) device. As the single-crystal MOF host adsorbs target analyte guests from the environment, its dielectric properties change causing the reflection spectrum derived from the FPI device to shift. A single crystal of HKUST-1 was attached to the end-face of an OF to form the sensor OFUMOF (U, union). The sensor\u27s response curve was accurately measured using low concentrations of the target analyte nitrobenzene, an explosive simulant. Additionally, the uptake rate of nitrobenzene into the MOF single crystal was characterized. The experimental results show that the sensor achieved quantitative and real-time adsorption measurements of a target analyte

    Crystal Engineering of Isostructural Quaternary Multicomponent Crystal Forms of Olanzapine

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    Pharmaceutical cocrystals have gained increased attention at least in part because of their potential for enhancing physicochemical and biopharmaceutical properties of existing drugs. As a result, design, screening, and large-scale preparation of pharmaceutical cocrystals have been emphasized in recent research. The design of pharmaceutical cocrystals has focused primarily on determining the empirical guidelines regarding the hierarchy of supramolecular synthons. However, this approach is typically less predictive when considering drugs that are complex in nature, such as those having a multiplicity of functional groups and/or numerous degrees of conformational flexibility. In this manuscript, we report a crystal engineering design strategy to facilitate the synthesis of multicomponent crystal forms of the atypical antipsychotic drug olanzapine, marketed as a drug product under the trade name Zyprexa. Comprehensive analysis and data mining of existing crystal structures of olanzapine were followed by grouping into categories according to the crystal packing exhibited and systematically using this information to crystal engineer new compositions. This approach afforded isostructural, quaternary multicomponent crystal forms of olanzapine composed of a stoichiometric ratio of four molecular components: olanzapine; a cocrystal former; water; solvent (isopropylacetate). To our knowledge this study is unprecedented in that the observed quaternary structures can be classified as solvates, hydrates, or cocrystals
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