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  • 1
    Online Resource
    Online Resource
    Heterostructured α‐Fe 2 O 3 @ZnO@ZIF‐8 Core–Shell Nanowires for a Highly Selective MEMS‐Based ppb‐Level H 2 S Gas Sensor System
    Wiley ; 2022
    In:  Small Vol. 18, No. 50 ( 2022-12)
    Details
    In: Small, Wiley, Vol. 18, No. 50 ( 2022-12)
    Abstract: Highly selective and sensitive H 2 S sensors are in high demand in various fields closely related to human life. However, metal oxide semiconductors (MOSs) suffer from poor selectivity and single MOS@metal organic framework (MOF) core–shell nanocomposites are greatly limited due to the intrinsic low sensitivity of MOF shells. To simultaneously improve both selectivity and sensitivity, heterostructured α‐Fe 2 O 3 @ZnO@ZIF‐8 core–shell nanowires (NWs) are meticulously synthesized with the assistance of atomic layer deposition. The ZIF‐8 shell with regular pores and special surface functional groups is attractive for excellent selectivity and the heterostructured α‐Fe 2 O 3 @ZnO core with an additional electron depletion layer is promising with enhanced sensitivity compared to a single MOS core. As a result, the heterostructured α‐Fe 2 O 3 @ZnO@ZIF‐8 core–shell NWs achieve remarkable H 2 S sensing performance with a high response ( R air / R gas  = 32.2 to 10 ppm H 2 S), superior selectivity, fast response/recovery speed (18.0/31.8 s), excellent long‐term stability (at least over 3 months), and relatively low limit of detection (down to 200 ppb) at low operating temperature of 200 °C, far beyond α‐Fe 2 O 3 @ZIF‐8 or α‐Fe 2 O 3 @ZnO core–shell NWs. Furthermore, a micro‐electromechanical system‐based H 2 S gas sensor system with low power consumption is developed, holding great application potential in smart cities.
    Type of Medium: Online Resource
    ISSN: 1613-6810 , 1613-6829
    URL: Issue
    URL: Article
    DOI: 10.1002/smll.v18.50
    DOI: 10.1002/smll.202204828
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2168935-0
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  • 2
    Online Resource
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    A novel approach for forensic identification of automotive paints using optical coherence tomography and multivariate statistical methods
    Wiley ; 2022
    In:  Journal of Forensic Sciences Vol. 67, No. 6 ( 2022-11), p. 2253-2266
    Details
    In: Journal of Forensic Sciences, Wiley, Vol. 67, No. 6 ( 2022-11), p. 2253-2266
    Abstract: Automotive paint is one of the most important evidence in solving vehicle‐related criminal cases. It contains the critical information about the suspected vehicle, providing essential clues for the investigation. In this study, a novel approach based on optical coherence tomography combined with multivariate statistical methods was proposed to facilitate rapid, accurate and nondestructive identification of different brands of automotive paints. 164 automotive paint samples from 8 different manufacturers were analyzed by a spectral‐domain optical coherence tomography system (SD‐OCT). Two‐dimensional cross‐sectional OCT images and three‐dimensional OCT reconstruction of vehicle paints of different paints were obtained to show the internal structural differences. Visual discrimination of A‐scan data after registration and averaging processing was first used to distinguish different samples. An scanning electron microscope was utilized to obtain the cross‐sectional image of the sample to evaluate the effectiveness of OCT technique. Then the original A‐scan data, first derivative data and second derivative data of 136 paints with four layers from 7 different manufacturers were collected. Multivariate statistical methods, including principal component analysis (PCA), multi‐layer perceptron (MLP), k‐nearest neighbor (KNN) algorithm and Bayes discriminant analysis (BDA), were used to analyze different datasets. The results show the hybrid PCA and BDA model based on the first derivative OCT data achieved the best result of 100% accuracy on the testing dataset for identifying automotive paints. It is demonstrated that the OCT technique combined with multivariate statistics could be a promising method for identifying the automotive paints rapidly and accurately.
    Type of Medium: Online Resource
    ISSN: 0022-1198 , 1556-4029
    URL: Issue
    URL: Article
    DOI: 10.1111/jfo.v67.6
    DOI: 10.1111/1556-4029.15114
    RVK:
    XA 53670
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2026357-0
    SSG: 2,1
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  • 3
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    Modulating the active phase structure of NiMo/Al 2 O 3 by La modification for ultra‐deep hydrodesulfurization of diesel
    Wiley ; 2023
    In:  AIChE Journal Vol. 69, No. 2 ( 2023-02)
    Details
    In: AIChE Journal, Wiley, Vol. 69, No. 2 ( 2023-02)
    Abstract: Herein, a series of mesoporous NiMo/LaAlO x with various La contents were constructed through a solvent evaporation‐induced self‐assembly protocol, and their catalytic activities were investigated for hydrodesulfurization (HDS) of 4,6‐DMDBT. It has been confirmed that the incorporation of La influences the electronic structure and morphology of NiMoS active phase. The lower amount of La ( x  ≤ 1.0 wt.%) could facilitate the formation of “Type II” NiMoS phase by weakening the interaction of Mo‐O‐Al leakage and promoting the sulfidation of both Mo and Ni species as well as increasing the ratio of “Type II” NiMoS phase, thereafter boosting the HDS performances. Further increasing La incorporation, however, leads to the generation of inactive NiS x phase and decrease of NiMoS active phase proportion, the HDS activities of corresponding catalysts were suppressed. NiMo/LaAlO x ‐1.0 exhibits the highest activity for 4,6‐DMDBT HDS because of its moderate metal‐support interaction, optimal morphology and the largest proportion of “Type II” NiMoS active phase.
    Type of Medium: Online Resource
    ISSN: 0001-1541 , 1547-5905
    URL: Issue
    URL: Article
    DOI: 10.1002/aic.v69.2
    DOI: 10.1002/aic.17873
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2020333-0
    detail.hit.zdb_id: 240008-X
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  • 4
    Online Resource
    Online Resource
    Synergistic Effects in N,O‐Comodified Carbon Nanotubes Boost Highly Selective Electrochemical Oxygen Reduction to H 2 O 2
    Wiley ; 2022
    In:  Advanced Science Vol. 9, No. 27 ( 2022-09)
    Details
    In: Advanced Science, Wiley, Vol. 9, No. 27 ( 2022-09)
    Abstract: Electrochemical 2‐electron oxygen reduction reaction (ORR) is a promising route for renewable and on‐site H 2 O 2 production. Oxygen‐rich carbon nanotubes have been demonstrated their high selectivity (≈80%), yet tailoring the composition and structure of carbon nanotubes to further enhance the selectivity and widen working voltage range remains a challenge. Herein, combining formamide condensation coating and mild temperature calcination, a nitrogen and oxygen comodified carbon nanotubes (N,O‐CNTs) electrocatalyst is synthesized, which shows excellent selective ( 〉 95%) H 2 O 2 selectivity in a wide voltage range (from 0 to 0.65 V versus reversible hydrogen electrode). It is significantly superior to the corresponding selectivity values of CNTs (≈50% in 0–0.65 V vs RHE) and O‐CNTs (≈80% in 0.3–0.65 V vs RHE). Density functional theory calculations revealed that the C neighbouring to N is the active site. Introducing O‐related species can strengthen the adsorption of intermediates *OOH, while N‐doping can weaken the adsorption of in situ generated *O and optimize the *OOH adsorption energy, thus improving the 2‐electron pathway. With optimized N,O‐CNTs catalysts, a Janus electrode is designed by adjusting the asymmetric wettability to achieve H 2 O 2 productivity of 264.8 mol kg cat –1 h –1 .
    Type of Medium: Online Resource
    ISSN: 2198-3844 , 2198-3844
    URL: Issue
    URL: Article
    DOI: 10.1002/advs.v9.27
    DOI: 10.1002/advs.202201421
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2808093-2
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  • 5
    Online Resource
    Online Resource
    Metabolomics and Machine Learning Identify Metabolic Differences and Potential Biomarkers for Frequent versus Infrequent Gout Flares
    Wiley ; 2023
    In:  Arthritis & Rheumatology
    Details
    In: Arthritis & Rheumatology, Wiley
    Abstract: To discover differential metabolites and pathways underlying infrequent gout flares (InGF) and frequent gout flares (FrGF) using metabolomics and establish a predictive model by machine learning (ML) algorithms. Methods Serum samples from a discovery cohort with 163 InGF and 239 FrGF patients were analyzed by mass spectrometry‐based untargeted metabolomics to profile differential metabolites and explore dysregulated metabolic pathways using pathway enrichment analysis and network propagation‐based algorithms. ML algorithms were performed to establish a predictive model based on selected metabolites, which was further optimized by a quantitative targeted metabolomics method and validated in an independent validation cohort with 97 participants with InGF and 139 participants with FrGF . Results 439 differential metabolites between InGF and FrGF groups were identified. Top dysregulated pathways included carbohydrates, amino acids, bile acids, and nucleotide metabolism. Subnetworks with maximum disturbances in the global metabolic networks featured cross‐talk between purine metabolism and caffeine metabolism, as well as interactions among pathways involving primary bile acid biosynthesis, taurine and hypotaurine metabolism, alanine, aspartate and glutamate metabolism, suggesting epigenetic modifications and gut microbiome in metabolic alterations underlying InGF and FrGF. Potential metabolite biomarkers were identified using ML‐based multivariable selection and further validated by targeted metabolomics. Area under receiver operating characteristics curve for differentiating InGF and FrGF achieved 0.88 and 0.67 for the discovery and validation cohorts, respectively. Conclusions Systematic metabolic alterations underlie InGF and FrGF, and distinct profiles are associated with differences in gout flare frequencies. Predictive modeling based on selected metabolites from metabolomics can differentiate InGF and FrGF.
    Type of Medium: Online Resource
    ISSN: 2326-5191 , 2326-5205
    URL: Article
    DOI: 10.1002/art.42635
    RVK:
    XA 10000
    RVK:
    XA 30325
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2754614-7
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  • 6
    Online Resource
    Online Resource
    High‐resolution creatine mapping of mouse brain at 11.7 T using non‐steady‐state chemical exchange saturation transfer
    Wiley ; 2019
    In:  NMR in Biomedicine Vol. 32, No. 11 ( 2019-11)
    Details
    In: NMR in Biomedicine, Wiley, Vol. 32, No. 11 ( 2019-11)
    Abstract: The current study aims to optimize the acquisition scheme for the creatine chemical exchange saturation transfer weighted (CrCESTw) signal on mouse brain at 11.7 T, in which a strong magnetization transfer contrast (MTC) is present, and to further develop the polynomial and Lorentzian line‐shape fitting (PLOF) method for quantifying CrCESTw signal with a non‐steady‐state (NSS) acquisition scheme. Studies on a Cr phantom with cross‐linked bovine serum albumin (BSA) as well as on mouse brain demonstrated that the maximum CrCESTw signal was reached with a short saturation time determined by the rotating frame relaxation time of the MTC pool instead of the steady‐state saturation. The saturation power for the maximal signal was around 1–1.5 μT for Cr with 20% cross‐linked BSA and in vivo applications, but 2 μT was found to be most practical for signal stability. For the CrCEST acquisition with strong MTC interference, the optimal saturation power and length are completely different from those on Cr solution alone. This observation could be explained well using R 1 ρ theory by incorporating the strong MTC pool. Finally, a high‐resolution Cr map was obtained on mouse brain using the PLOF method with the NSS CEST acquisition and a cryogenic coil. The Cr map obtained by CEST showed homogenous intensity across the mouse brain except for regions with cerebrospinal fluid.
    Type of Medium: Online Resource
    ISSN: 0952-3480 , 1099-1492
    URL: Issue
    URL: Article
    DOI: 10.1002/nbm.v32.11
    DOI: 10.1002/nbm.4168
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2002003-X
    detail.hit.zdb_id: 1000976-0
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  • 7
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    Online Resource
    A fast chemical exchange saturation transfer imaging scheme based on single‐shot spatiotemporal encoding
    Wiley ; 2017
    In:  Magnetic Resonance in Medicine Vol. 77, No. 5 ( 2017-05), p. 1786-1796
    Details
    In: Magnetic Resonance in Medicine, Wiley, Vol. 77, No. 5 ( 2017-05), p. 1786-1796
    Abstract: To design a new approach that can not only keep the spatial and temporal resolution but also have better built‐in immunity to magnetic field inhomogeneity and chemical shift effects than the single‐shot echo planar imaging (EPI) for chemical exchange saturation transfer (CEST) MRI. Method The single‐shot spatiotemporally encoded (SPEN) MRI sequence was combined with a continuous wave saturation pulse for fast CEST MRI (CEST‐SPEN MRI). The resulting images were super‐resolved reconstructed by a hybrid method that solves the l 1 norm minimization together with total variation (TV) regularization. Partial Lorentzian fitting was used to analyze the subsequent Z‐spectra. Results Experimental results of a creatine phantom and in vivo tumor rat brains show that CEST‐SPEN MRI has good capability in providing CEST‐based and NOE‐based contrast images. Conclusions Compared with CEST‐EPI, CEST‐SPEN MRI has better immunity to magnetic field inhomogeneity and provides better contrast images within identical acquisition time, especially under an identical inhomogeneous field. Magn Reson Med 77:1786–1796, 2017. © 2016 International Society for Magnetic Resonance in Medicine
    Type of Medium: Online Resource
    ISSN: 0740-3194 , 1522-2594
    URL: Issue
    URL: Article
    DOI: 10.1002/mrm.v77.5
    DOI: 10.1002/mrm.26258
    Language: English
    Publisher: Wiley
    Publication Date: 2017
    detail.hit.zdb_id: 1493786-4
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  • 8
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    Online Resource
    Effect of seed on synthesis of binder‐free mordenite for dimethyl ether carbonylation
    Wiley ; 2023
    In:  Asia-Pacific Journal of Chemical Engineering
    Details
    In: Asia-Pacific Journal of Chemical Engineering, Wiley
    Abstract: A series of binder‐free mordenite (MOR) zeolites were successfully prepared by hydrothermal conversion of shaped precursors containing aluminosilicate and MOR seeds. In the synthesis of seed crystals, hexadecyltrimethylammonium bromide (CTAB) was used as a crystal growth inhibitor as well as a pore filler to adjust the morphology and introduce mesoporous pores. As a result, large aggregates, assembled nanosheets, and flowers‐like MOR were successfully synthesized with these MOR seeds. The effect of seed morphology on the performance of the binder‐free MOR was studied by scanning electron microscopy (SEM), N 2 adsorption–desorption, and NH 3 ‐TPD characterization techniques. It was found that the mesopore volume of formed MOR was positively correlated with those of the seeds. The synthesized binder‐free MOR showed high activity (0.28 g methyl acetate gcat −1  h −1 ), 100% selectivity, and high stability in dimethyl ether (DME) carbonylation to methyl acetate, which can be attributed to the larger surface area and more mesopores. The synthesis of MOR nano‐assemblies via this cost‐effective strategy has a wide range of potential applications.
    Type of Medium: Online Resource
    ISSN: 1932-2135 , 1932-2143
    URL: Article
    DOI: 10.1002/apj.2991
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2276947-X
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  • 9
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    Precise Modulation of Intramolecular Aggregation‐induced Electrochemiluminescence by Tetraphenylethylene‐based Supramolecular Architectures
    Wiley ; 2023
    In:  Angewandte Chemie Vol. 135, No. 46 ( 2023-11-13)
    Details
    In: Angewandte Chemie, Wiley, Vol. 135, No. 46 ( 2023-11-13)
    Abstract: The precisely modulated synthesis of programmable light‐emitting materials remains a challenge. To address this challenge, we construct four tetraphenylethylene‐based supramolecular architectures (SA, SB, SC, and SD), revealing that they exhibit higher electrochemiluminescence (ECL) intensities and efficiencies than the tetraphenylethylene monomer and can be classified as highly efficient and precisely modulated intramolecular aggregation–induced electrochemiluminescence (PI‐AIECL) systems. The best‐performing system (SD) shows a high ECL cathodic efficiency exceeding that of the benchmark tris(2,2′‐bipyridyl)ruthenium(II) chloride in aqueous solution by nearly six‐fold. The electrochemical characterization of these architectures in an organic solvent provides deeper mechanistic insights, revealing that SD features the lowest electrochemical band gap. Density functional theory calculations indicate that the band gap of the guest ligand in the SD structure is the smallest and most closely matched to that of the host scaffold. Finally, the SD system is used to realize ECL‐based cysteine detection (detection limit=14.4 nM) in real samples. Thus, this study not only provides a precisely modulated supramolecular strategy allowing chromophores to be controllably regulated on a molecular scale, but also inspires the programmable synthesis of high‐performance aggregation‐induced electrochemiluminescence emitters.
    Type of Medium: Online Resource
    ISSN: 0044-8249 , 1521-3757
    URL: Issue
    URL: Article
    DOI: 10.1002/ange.v135.46
    DOI: 10.1002/ange.202312692
    RVK:
    VA 2100
    RVK:
    VN 5020
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 505868-5
    detail.hit.zdb_id: 506609-8
    detail.hit.zdb_id: 514305-6
    detail.hit.zdb_id: 505872-7
    detail.hit.zdb_id: 1479266-7
    detail.hit.zdb_id: 505867-3
    detail.hit.zdb_id: 506259-7
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  • 10
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    Population Pharmacokinetics of Melphalan for Pediatric Patients Undergoing Hematopoietic Cell Transplantation
    Wiley ; 2022
    In:  The Journal of Clinical Pharmacology Vol. 62, No. 7 ( 2022-07), p. 873-882
    Details
    In: The Journal of Clinical Pharmacology, Wiley, Vol. 62, No. 7 ( 2022-07), p. 873-882
    Abstract: Melphalan is an alkylating agent used as part of conditioning prior to pediatric hematopoietic cell transplantation (HCT). We performed a single‐center, prospective pharmacokinetic study of 37 pediatric patients undergoing HCT from March 2015 to 2019. The primary objective was to develop and validate a population pharmacokinetic model for melphalan in a diverse group of pediatric HCT recipients. Nonlinear mixed‐effects modeling was implemented to describe plasma concentration–time data of melphalan. A 2‐compartment, proportional error model with weight on clearance best fit the data. Final parameter estimates were clearance, 19.1 L/h/25 kg; volume of the central compartment, 8.5 L/25 kg; volume of the peripheral compartment, 5.8 L/25 kg; and intercompartmental clearance 12.4 L/h/25 kg. Residual unexplained variability was low, at 12.5%. Results suggest the empiric weight‐based dosing (mg/kg) used in children 〈 12 kg or 2 years of age may result in subtherapeutic exposure. Model‐based dosing of melphalan in pediatric HCT may help inform individualized dosing strategies to improve clinical outcomes and limit drug‐related adverse events in pediatric HCT recipients.
    Type of Medium: Online Resource
    ISSN: 0091-2700 , 1552-4604
    URL: Issue
    URL: Article
    DOI: 10.1002/jcph.v62.7
    DOI: 10.1002/jcph.2030
    RVK:
    XA 52835
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2010253-7
    SSG: 15,3
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