A new artificial receptor 1 was synthesized for the detection of Fe(3+) and Mg(2+) in solution as a colorimetric and fluorescent sensor, respectively. The sensor exhibited highly selective and sensitive recognition towards Fe(3+) in CH(3)CN via color change from colorless to brown. Also it showed a significant fluorescence enhancement (70-fold) towards Mg(2+) in the mixture of solution CH(3)CN/H(2)O (8:2, v/v). The selectivity of either Fe(3+) or Mg(2+) was not interfered by the presence of other metal ions such as Cr(3+), Mn(2+), Co(3+), Ni(2+), Cu(2+), Ag(+), Cd(2+), Pb(2+), Ca(2+) and K(+) ions.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.saa.2012.07.032 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Local Adaptive Fusion Regression (LAFR) for Local Linear Multivariate Calibration: Application to Large Datasets.
Appl Spectrosc
January 2025
Department of Chemistry, Idaho State University, Pocatello, Idaho, USA.
Impeding linear calibration models from accurately predicting target sample analyte amounts are the target sample-wise deviations in measurement profiles (e.g., spectra) relative to calibration samples.
View Article and Find Full Text PDFEvaluation of a Machine Learning-Guided Strategy for Elevated Lipoprotein(a) Screening in Health Systems.
Circ Genom Precis Med
January 2025
Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (A.A., L.S.D., E.K.O., R.K.).
Background: While universal screening for Lp(a; lipoprotein[a]) is increasingly recommended, <0.5% of patients undergo Lp(a) testing. Here, we assessed the feasibility of deploying Algorithmic Risk Inspection for Screening Elevated Lp(a; ARISE), a validated machine learning tool, to health system electronic health records to increase the yield of Lp(a) testing.
View Article and Find Full Text PDFHighly Selective α-Addition and β-Conjugate Addition Products from Peptides Composed of α,β-Unsaturated γ-Amino Acids.
J Org Chem
January 2025
Department of Chemistry, Indian Institute of Science Education and Research, Dr. Homi Bhabha Road, Pashan, Pune 411008, India.
β-Addition products are common in conjugate addition reactions consisting of α,β-unsaturated carbonyl compounds. Here, we are reporting an uncommon α-addition product as a major product in the thioacetic acid conjugate addition reaction on a peptide consisting of ()-α,β-unsaturated γ-amino acids. In addition, we observed highly diastereoselective β-addition products from the thiophenol and thioethanol conjugate addition reaction on peptides.
View Article and Find Full Text PDFIntroducing halogen-bonded gates into zeolitic frameworks for efficient benzene/cyclohexene/cyclohexane separation.
Chem Sci
January 2025
MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry, GBRCE for Functional Molecular Engineering, IGCME, Sun Yat-Sen University Guangzhou 510275 China
The separation of C cyclic hydrocarbons (benzene, cyclohexene, and cyclohexane) is one of the most challenging chemical processes in the petrochemical industry. Herein, we design and synthesize a new SOD-topology metal azolate framework (MAF) with aperture gating behaviour controlled by C-Br⋯N halogen bonds, which exhibits distinct temperature- and guest-dependent adsorption behaviours for benzene/cyclohexene/cyclohexane. More importantly, the MAF enables the efficient purification of benzene from its binary and ternary mixtures (selectivity up to 113 ± 2; purity up to 98% +), which is the highest record for benzene/cyclohexane/cyclohexene separation to date.
View Article and Find Full Text PDFA modelling approach to characterise the interaction between behavioral response and epidemics: A study based on COVID-19.
Infect Dis Model
June 2025
School of Science, Xi'an University of Technology, Xi'an, 710048, PR China.
During epidemic outbreaks, human behavior is highly influential on the disease transmission and hence affects the course, duration and outcome of the epidemics. In order to examine the feedback effect between the dynamics of the behavioral response and disease outbreak, a simple SIR- type model is established by introducing the independent variable of effective contact rate, characterizing how human behavior interacts with disease transmission dynamics and allowing for the feedback changing over time along the progress of epidemic and population's perception of risk. By a particle swarm optimization algorithm in the solution procedures and time series of COVID-19 data with different shapes of infection peaks, we show that the proposed model, together with such behavioral change mechanism, is capable of capturing the trend of the selected data and can give rise to oscillatory prevalence of different magnitude over time, revealing how different levels of behavioral response affect the waves of infection as well as the evolution of the disease.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!