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Sökning: WFRF:(Sun Lixia)

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1.
  • Guo, Ming, et al. (författare)
  • A facile synthesis of molecularly imprinted polymers and their properties as electrochemical sensors for ethyl carbamate analysis
  • 2018
  • Ingår i: RSC Advances. - : Royal Society of Chemistry. - 2046-2069. ; 8:69, s. 39721-39730
  • Tidskriftsartikel (refereegranskat)abstract
    • New molecularly imprinted polymers (MIPs), which exhibit specific recognition of ethyl carbamate (EC) have been synthesized and studied. In this process, EC was the template molecule and -cyclodextrin derivatives were employed as functional monomers in the molecular imprinting technique (MIT). An EC molecularly imprinted sensor (EC-MIS) was prepared by using MIT surface modification. The EC-MIS was characterized by cyclic voltammetry, electrochemical impedance spectroscopy and differential pulse voltammetry. EC detection performance, binding parameters and dynamics mechanism were investigated. The result showed that the synthetic route designed was appropriate and that new MIP and EC-MIS were successfully prepared. The EC-MIS exhibited a good molecular recognition of EC. A linear relationship between current and EC concentration was observed using cyclic voltammetry and the detection limit was 5.86 g L-1. The binding constant (K = 4.75 x 10(6) L mol(-1)) between EC and the EC-MIS, as well as, the number of binding sites (n = 1.48) has been determined. The EC-MIS recognition mechanism for the EC is a two-step process. The sensor was applied for the determination of EC in Chinese yellow wines, and the results were in good agreement with the gas chromatography-mass spectrometry (GC-MS) method.
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2.
  • Mansouri, Kamel, et al. (författare)
  • CoMPARA : Collaborative Modeling Project for Androgen Receptor Activity
  • 2020
  • Ingår i: Journal of Environmental Health Perspectives. - 0091-6765 .- 1552-9924. ; 128:2, s. 1-17
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Endocrine disrupting chemicals (EDCs) are xenobiotics that mimic the interaction of natural hormones and alter synthesis, transport, or metabolic pathways. The prospect of EDCs causing adverse health effects in humans and wildlife has led to the development of scientific and regulatory approaches for evaluating bioactivity. This need is being addressed using high-throughput screening (HTS) in vitro approaches and computational modeling.OBJECTIVES: In support of the Endocrine Disruptor Screening Program, the U.S. Environmental Protection Agency (EPA) led two worldwide consortiums to virtually screen chemicals for their potential estrogenic and androgenic activities. Here, we describe the Collaborative Modeling Project for Androgen Receptor Activity (CoMPARA) efforts, which follows the steps of the Collaborative Estrogen Receptor Activity Prediction Project (CERAPP).METHODS: The CoMPARA list of screened chemicals built on CERAPP's list of 32,464 chemicals to include additional chemicals of interest, as well as simulated ToxCast (TM) metabolites, totaling 55,450 chemical structures. Computational toxicology scientists from 25 international groups contributed 91 predictive models for binding, agonist, and antagonist activity predictions. Models were underpinned by a common training set of 1,746 chemicals compiled from a combined data set of 11 ToxCast (TM)/Tox21 HTS in vitro assays.RESULTS: The resulting models were evaluated using curated literature data extracted from different sources. To overcome the limitations of single-model approaches, CoMPARA predictions were combined into consensus models that provided averaged predictive accuracy of approximately 80% for the evaluation set.DISCUSSION: The strengths and limitations of the consensus predictions were discussed with example chemicals; then, the models were implemented into the free and open-source OPERA application to enable screening of new chemicals with a defined applicability domain and accuracy assessment. This implementation was used to screen the entire EPA DSSTox database of similar to 875,000 chemicals, and their predicted AR activities have been made available on the EPA CompTox Chemicals dashboard and National Toxicology Program's Integrated Chemical Environment.
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3.
  • Sun, Qiwu, et al. (författare)
  • Alliance-outcome relation and progress feedback: Secondary data analyses of a randomized clinical trial study in China
  • 2021
  • Ingår i: Psychotherapy Research. - : ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD. - 1050-3307 .- 1468-4381. ; 31:2, s. 145-156
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: This study examined the alliance-outcome relation and the possible moderation effect of receiving progress feedback on a sample of Chinese clients.Method: One hundred and fifty-nine clients recruited from a university counseling center in central China filled out the Session Rating Scale (SRS) and the Outcome Rating Scale (ORS) each session. Participants were randomly assigned to either the progress feedback group or non-feedback group. Therapists working with clients in the feedback group received their clients SRS and ORS scores weekly and were asked to plot their scores in a chart. The alliance-outcome and moderator effects were tested with disaggregated cross-lagged panel modeling of SRS and ORS.Results: The findings indicated a strong reciprocal relation between SRS and ORS, but the moderator effect due to feedback was not supported.Conclusion: Results affirm the cross-cultural stability of the session-by-session reciprocal effects of the alliance-outcome model in a Chinese sample. The issue of whether feedback moderates the within-person alliance-outcome relationship needs to be studied further.
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