The integration of sample pretreatment remains one of the hurdles towards a rapid, automated micro total analytical system (µ-TAS) for real samples. In this paper, a modular design, which was used for sample preparation, has been developed as the polydimethylsiloxane (PDMS) millifluidic chips with channels at a millimeter level. Multiple functional units, including extraction, filtration, mixing and solid phase extraction (SPE), for sample pretreatment were integrated in one chip. In this chip, each functional unit was connected by pump tubings and one-way valves in series to form a fully automated system. Based on the modular design, multiple functional units have been combined in different sequences according to practical needs. In addition, the proposed system has characteristics of miniaturization, portability, and real-time application. Herein, spiked benzoyl peroxide (BPO) in flour samples was used as a model compound to study the system's performances. With a portable integrated Raman spectrometer for detection, the detection limit of BPO was 0.017gkg, with a linear relationship from 0.025 to 0.5gkg. This modular design was demonstrated to be effective and it can be expanded for pretreatment of other food samples.
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http://dx.doi.org/10.1016/j.talanta.2017.12.008 | DOI Listing |
Peptide therapeutics, a major class of medicines, have achieved remarkable success across diseases such as diabetes and cancer, with landmark examples such as GLP-1 receptor agonists revolutionizing the treatment of type-2 diabetes and obesity. Despite their success, designing peptides that satisfy multiple conflicting objectives, such as target binding affinity, solubility, and membrane permeability, remains a major challenge. Classical drug development and structure-based design are ineffective for such tasks, as they fail to optimize global functional properties critical for therapeutic efficacy.
View Article and Find Full Text PDFCharacterizing brain dynamic functional connectivity (dFC) patterns from functional Magnetic Resonance Imaging (fMRI) data is of paramount importance in neuroscience and medicine. Recently, many graph neural network (GNN) models, combined with transformers or recurrent neural networks (RNNs), have shown great potential for modeling the dFC patterns. However, these methods face challenges in effectively characterizing the modularity organization of brain networks and capturing varying dFC state patterns.
View Article and Find Full Text PDFApplications of genetic code expansion in live cells are widespread and continually emerging, yet they have been limited by their reliance on the supplementation of non-standard amino acids (nsAAs) to cell culturing media. While advances in cell-free biocatalysis are improving nsAA synthesis cost and sustainability, such processes remain reliant on multi-step processes of product isolation followed by supplementation to engineered cells. Here, we report the design of a modular and genetically encoded system that combines the steps of biosynthesis of diverse phenylalanine derivatives, which are the most frequently used family of nsAAs for genetic code expansion, and their site-specific incorporation within target proteins using a single engineered bacterial host.
View Article and Find Full Text PDFJMIR Serious Games
January 2025
Department of Medical and Rehabilitation Care, Angers University Hospital, Angers, France.
Background: Reminiscence therapy through music is a psychosocial intervention with benefits for older patients with neurocognitive disorders. Therapies using virtual or augmented reality are efficient in ecologically assessing, and eventually training, episodic memory in older populations. We designed a semi-immersive musical game called "A Life in Songs," which invites patients to immerse themselves in a past era through visuals and songs from that time period.
View Article and Find Full Text PDFEnviron Technol
January 2025
Guangxi Key Laboratory of Theory and Technology for Environmental Pollution Control, Guilin University of Technology, Guilin, People's Republic of China.
P-chlorophenol (4-CP) and hexavalent chromium (Cr (VI)) are predominant contaminants in industrial effluents, eliciting substantial environmental and human health concerns. As a strong oxidant, Cr (Ⅵ) has the potential to facilitate the removal of 4-CP. However, the specific removal effect remains unclear.
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