A novel deep eutectic solvent (ETPP-Br/THF-TCA-DES) was prepared by a mixture of ethyl triphenylphosphonium bromide (ETPP-Br) and tetrahydrofuran-2,3,4,5-tetra-carboxylic acid (THF-TCA, mole ratio 7:3), characterized by FT-IR, TGA/DTA, densitometer, eutectic point, and H NMR techniques and used as a capable and new catalyst for the synthesis of two sets of compounds: (1) the four new [a(1-4)] and the eleven [a(5-15)] known alkyl 1,2,6-trisubstituted-4-[(hetero)arylamino]-1,2,5,6-tetrahydropyridine-3-carboxylates and (2) the two new [b(1-2)] and the eight [b(3-10)] known 1,3-thiazolidin-4-ones in DES with short reaction time, high yields, and easy recycling and separation of the DES catalyst. There is a nice consistency between the proposed structure of the DES compound, the integration values of the H NMR peaks and the ratio of ETPP-Br to THF-TCA obtained from the eutectic point phase diagram. Also, the decrease in splitting patterns of the peaks in DES, compared to the two starting materials can be the good evidence of the hydrogen bond formation between the two components.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10086034 | PMC |
| http://dx.doi.org/10.1038/s41598-023-32882-0 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Adaptive deep feature representation learning for cross-subject EEG decoding.
BMC Bioinformatics
December 2024
College of Computer and Information Engineering/College of Artificial Intelligence, Nanjing Tech University, Nanjing, 210093, China.
Background: The collection of substantial amounts of electroencephalogram (EEG) data is typically time-consuming and labor-intensive, which adversely impacts the development of decoding models with strong generalizability, particularly when the available data is limited. Utilizing sufficient EEG data from other subjects to aid in modeling the target subject presents a potential solution, commonly referred to as domain adaptation. Most current domain adaptation techniques for EEG decoding primarily focus on learning shared feature representations through domain alignment strategies.
View Article and Find Full Text PDFPortable astronomical observation system based on large-aperture concentric-ring metalens.
Light Sci Appl
January 2025
Institute of Microstructure Technology (IMT), Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtzplatz 1, Eggenstein-Leopoldshafen, 76344, Germany.
The core advantage of metalenses over traditional bulky lenses lies in their thin volume and lightweight. Nevertheless, as the application scenarios of metalenses extend to the macro-scale optical imaging field, a contradiction arises between the increasing demand for large-aperture metalenses and the synchronous rise in design and processing costs. In response to the application requirements of metalens with diameter reaching the order of 10λ or even 10λ, this paper proposes a novel design method for fixed-height concentric-ring metalenses, wherein, under the constraints of the processing technology, a subwavelength 2D building unit library is constructed based on different topological structures, and the overall cross-section of the metalens is assembled.
View Article and Find Full Text PDFElevated Serum Homocysteine Levels Impair Embryonic Neurodevelopment by Dysregulating the Heat Shock Proteins.
Dev Neurobiol
January 2025
Department of Laboratory Medicine, West China Second University Hospital, Sichuan University, Chengdu, China.
Observational studies have found that elevated serum homocysteine (Hcy) levels during pregnancy may be associated with the occurrence of neural tube defects (NTDs). However, the effect of Hcy on fetal neural development and its underlying molecular mechanisms remains unclear. To uncover the molecular mechanism, we analyzed the serum Hcy concentration in pregnant women with normal and abnormal pregnancy outcomes and treated zebrafish model embryos with high Hcy.
View Article and Find Full Text PDFDeep Learning-Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach.
Brain Behav
January 2025
Department of Biomedical Engineering, Meybod University, Meybod, Iran.
Purpose: A debilitating and poorly understood symptom of Parkinson's disease (PD) is freezing of gait (FoG), which increases the risk of falling. Clinical evaluations of FoG, relying on patients' subjective reports and manual examinations by specialists, are unreliable, and most detection methods are influenced by subject-specific factors.
Method: To address this, we developed a novel algorithm for detecting FoG events based on movement signals.
A review of chitosan role in milk bioactive-based drug delivery, smart packaging and biosensors: Recent advances and developments.
Int J Biol Macromol
December 2024
Nanotechnology Department, School of Advanced Technologies, Iran University of Science and Technology (IUST), Tehran, Iran. Electronic address:
Chitosan, a versatile biopolymer derived from chitin, is increasingly recognized in the milk industry for its multifunctional applications in drug delivery, smart packaging, and biosensor development. This review provides a comprehensive analysis of recent advances in chitosan production techniques. These include chemical, biological, and novel methods such as deep eutectic solvents (DES), microwave-assisted approaches, and laser-assisted processes.
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!