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Ion concentration polarization (ICP) is one of the preconcentration techniques which can acquire a high preconcentration factor. Still, the main hurdles of ICP are its instability and low efficiency under physiological conditions with high ionic strength and abundant biomolecules. Here, we suggested a sequentially driven ICP process, which enhanced the electrokinetic force required for preconcentration, enabling enrichment of highly ionic raw samples without increasing the electric field. We acquired a 13-fold preconcentration factor (PF) in human serum using a paper-based origami structure consisting of multiple layers for three-dimensional sequential ICP (3D seq-ICP). Moreover, we demonstrated a paper-based enzyme-linked immunosorbent assay (ELISA) by 3D seq-ICP using tau protein, showing a 6-fold increase in ELISA signals.
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http://dx.doi.org/10.1039/d0lc01032d | DOI Listing |
Org Lett
September 2025
Frontiers Science Center for Transformative Molecules, State Key Laboratory of Polyolefins and Catalysis, State Key Laboratory of Synergistic Chem-Bio Synthesis, Zhang Jiang Institute for Advanced Study, Shanghai Jiao Tong University, Shanghai 200240, China.
C-labeled α-amino acids are important molecules in biological studies and drug development. Cost-effective synthesis of α-amino acids with a high level of C incorporation under mild conditions remains limited. Herein, we report the development of a benzylic C(sp)-H carboxylation method to prepare highly C-labeled α-amino acids, i.
View Article and Find Full Text PDFCrit Care Res Pract
August 2025
Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sepsis remains one of the leading causes of morbidity and mortality worldwide, particularly among critically ill patients in intensive care units (ICUs). Traditional diagnostic approaches, such as the Sequential Organ Failure Assessment (SOFA) and systemic inflammatory response syndrome (SIRS) criteria, often detect sepsis after significant organ dysfunction has occurred, limiting the potential for early intervention. In this study, we reviewed how artificial intelligence (AI)-driven methodologies, including machine learning (ML), deep learning (DL), and natural language processing (NLP), can aid physicians.
View Article and Find Full Text PDFLangmuir
September 2025
Biophysical Chemistry Laboratory, Physical Chemistry Section, Department of Chemistry, Jadavpur University, Raja S. C. Mullick Road, Jadavpur, Kolkata 700032, India.
Photophysical studies on the interaction of small molecules with various forms of nucleic acids are attracting attention nowadays in order to delineate the molecular level mechanism of various biological processes occurring in vivo. Herein, we employed vivid steady-state and time-resolved spectroscopic techniques to elucidate the detailed characterization of the binding interaction of a biologically active cationic dye thioflavin T (ThT) with double and triple helical forms of RNA - A.U duplex and U.
View Article and Find Full Text PDFJ Prosthodont
September 2025
Department of Prosthodontics, Indiana University School of Dentistry, Indianapolis, Indiana, USA.
This clinical report presents a comprehensive digital workflow for rehabilitating a patient with maxillary terminal dentition using a full-arch, implant-supported fixed dental prosthesis (FP-1). It highlights the integration of a 3D-printed polychromatic flangeless trial denture and a customized anatomic bone reduction template, enabling prosthetically driven implant planning and optimal bone architecture modification. The workflow incorporated fully guided implant surgery using sequential templates and immediate loading with a closed-mouth pickup system.
View Article and Find Full Text PDFIndian Pediatr
September 2025
College of Nursing, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Objective: To evaluate the effectiveness of a context-specific, nurse-driven medication errors bundle in reducing the incidence of medication errors (MEs) by ≥ 50% in a pediatric intensive care unit (PICU).
Methods: We conducted a prospective, before-and-after quality improvement study, between February and November 2023, in a 15-bedded multidisciplinary PICU of a tertiary public hospital in northern India. Prescriptions advised to children hospitalized during the study period were analyzed.