Search Results (2,455)

Molecularly imprinted polymers (MIPs) are widely employed for selective adsorption of target molecules in sensing and separation applications. The architecture of MIP films can influence adsorption behavior, interfacial stability, and reusability, yet systematic investigations of these effects are limited. This study aimed to evaluate how different polypyrrole (PPy) MIP film architectures affect the adsorption, stability, and regeneration characteristics of geraniol-imprinted layers on gold electrodes. Geraniol-imprinted and non-imprinted PPy films were electropolymerized onto quartz crystal microbalance (QCM) substrates. Two film architectures were compared: (i) a single-layer geraniol-imprinted PPy film, and (ii) a double-layer film consisting of a non-imprinted PPy underlayer followed by a geraniol-imprinted layer. Film characterization was performed using cyclic voltammetry (CV) and electrochemical quartz crystal microbalance (EQCM) measurements. Adsorption–desorption cycles were conducted to assess mass uptake, signal stability, and regeneration performance. EQCM analysis revealed that the double-layer architecture exhibited enhanced frequency signal stability during repeated adsorption–desorption cycles compared to single-layer films, suggesting a stabilizing effect of the underlying non-imprinted PPy layer at the electrode interface. Geraniol-imprinted films demonstrated significantly higher mass uptake than non-imprinted controls, confirming the sensitivity provided by molecular imprinting. Single-layer films showed more variability in signal response and less consistent regeneration performance. The architecture of MIP films significantly affects adsorption behavior, stability, and regeneration on electrode surfaces. Incorporating a non-imprinted PPy underlayer can improve signal reproducibility and enhance the robustness of MIP-based sensing interfaces. These findings provide guidance for the rational design of MIP coatings for electrochemical sensors and QCM-active platforms. Full article

Candida albicans (C. albicans) is an opportunistic fungal pathogen and a major cause of nosocomial infections, especially in immunocompromised patients. Conventional diagnostic approaches such as blood culture and biochemical assays are accurate but require multi-step sample processing and prolonged turnaround times, limiting their applicability for rapid clinical screening. In the present study, we developed an electrochemical biosensor based on molecularly imprinted polymer (MIP) technology for the rapid and selective detection of intact C. albicans cells. The MIP layer was electropolymerized onto a screen-printed carbon electrode (SPCE), forming selective recognition cavities complementary to the fungal morphology. Electrochemical characterization and detection were performed using cyclic voltammetry in phosphate-buffered saline (PBS). The system demonstrated a wide linear detection range, enabling reliable quantification of C. albicans across concentrations spanning from 1 to 10⁴ CFU/mL and achieved an ultralow limit of detection (LOD) of 1.30 CFU/mL, demonstrating high sensitivity. High selectivity was confirmed against E. coli, S. aureus, and P. aeruginosa, demonstrating that the imprinted cavities effectively distinguish fungal cells from bacterial contaminants. These findings highlight the promise of MIP-based electrochemical biosensors as a simple, low-cost, and portable alternative for early fungal diagnostics. Full article

The development of rapid and sensitive point-of-care nucleic acid tests benefits from robust synthetic recognition elements. Here, a biotin-specific molecularly imprinted polymer (MIP) was synthesized using an optimized protocol and integrated as a biomimetic test zone into two paper-based formats: nucleic acid vertical flow (NAVF) and nucleic acid lateral flow (NALF). Both platforms were evaluated for the detection of double-tagged PCR amplicons from Escherichia coli. NAVF enabled a 3 min visual readout with an LOD of 1.00 × 10⁻² ng mL⁻¹. NALF provided a total assay time of <15 min and achieved a visual LOD of 3.17 × 10⁻² ng mL⁻¹. Overall, the results demonstrate the versatility of biotin-MIPs as stable synthetic receptors for rapid, low-cost paper-based nucleic acid assays, with NAVF prioritizing speed and design flexibility and NALF prioritizing higher analytical sensitivity. Full article

This study aims to reveal the mechanism of a novel method for fabricating hierarchical microstructured hydrophobic surfaces. Specifically, plasma shock waves induced by laser ablation are applied to the workpiece to replicate the microstructures on the mold surface, thus obtaining primary microstructures. Meanwhile, the material splashing effect induced by laser ablation is utilized to form secondary microstructures on the basis of the primary microstructures. Subsequently, fluorination treatment and aging treatment are adopted to alter the chemical composition of the hierarchical microstructures on the workpiece surface, thereby reducing the surface energy and enhancing hydrophobicity. In addition, this study investigates the effects of a different number of laser shocks, laser fluence and mold periods on the forming results. Under a laser fluence of 28.97 J/cm², within the range of one to five laser shocks, the forming effect of the aluminum foil workpiece improves with the increase in the number of laser shocks. When the number of laser shocks is set to 3, within the laser fluence range of 19.1–76.39 J/cm², the forming result of the aluminum foil workpiece is enhanced as the laser fluence increases. The larger the mold period, the better the forming effect of the workpiece. An analysis of aging treatment and fluorination treatment reveals their impacts on the workpiece through assessments of wettability, surface chemical composition, and surface morphology. The findings reveal that both aging and fluorination treatments significantly enhance the contact angle of the aluminum foil workpiece, all while preserving its original surface structure. The main changes occur in terms of element content and chemical composition, and a large number of non-polar groups are generated on the workpiece surface after the modification treatments. Full article

Beckwith–Wiedemann syndrome (BWS) is an overgrowth disorder caused by genetic and epigenetic alterations at chromosome 11p15.5. Increasing evidence suggests that imprinting defects may be accompanied by broader epigenomic perturbations affecting repetitive elements such as human endogenous retroviruses (HERVs). We quantified the transcriptional levels of the HERV-H, HERV-K, and HERV-W-pol genes, the HERV-derived env genes, Syncytin-1 (SYN1) and Syncytin-2 (SYN2), and the epigenetic regulators, TRIM28 and SETDB1, in whole blood from children and adolescents with BWS, stratified by molecular subtype (ICR2 loss of methylation, n = 14; UPD(11)pat, n = 10), and compared with age-matched healthy controls using quantitative real-time PCR. The BWS samples showed significantly increased transcription of HERV-H and HERV-K relative to controls, whereas HERV-W was unchanged. The SYN1 transcripts were significantly higher in UPD(11)pat compared with controls, while SYN2 did not differ between groups. TRIM28 and SETDB1 were significantly overexpressed in BWS, irrespective of molecular subtype, and no significant differences were observed between ICR2 and UPD(11)pat for HERV-H, HERV-K, HERV-W, TRIM28, or SETDB1. These findings indicate selective dysregulation of endogenous retroelements and key repressors in BWS, consistent with epigenetic alterations extending beyond canonical imprinted loci. Full article

Ultra-processed foods (UPFs) represent a distinct dietary paradigm characterized by structurally simplified food matrices and chronic exposure to multiple additives, including emulsifiers, artificial sweeteners, and preservatives. Rather than acting in isolation, these compounds operate within a multi-additive environment that reshapes the gut ecosystem through convergent mechanisms. Emerging evidence suggests that additive-rich ultra-processed dietary environments may disrupt the gut ecosystem through three interconnected layers: (1) structural impairment of the intestinal barrier, including mucus erosion and tight-junction destabilization; (2) microbial metabolic shifts marked by short-chain fatty acid depletion, altered bile acid signaling, and enrichment of lipopolysaccharide-producing taxa; and (3) immune and inflammatory reprogramming promoting low-grade systemic inflammation. These processes collectively reduce ecosystem resilience—the capacity of the gut microbiota to resist and recover from perturbation. Vulnerability to additive-driven dysbiosis varies across the life course. During infancy, incomplete ecosystem stabilization may increase susceptibility to long-term ecological imprinting, whereas in older age, reduced microbial diversity and immune remodeling may impair recovery capacity following dietary stressors. In contrast, fiber-rich, minimally processed dietary patterns appear to enhance microbial resilience by reinforcing functional redundancy, metabolic buffering, and barrier integrity. Although much mechanistic evidence has been derived from experimental models, accumulating human data support the biological plausibility of additive-associated microbiota alterations. By integrating multi-additive exposure, ecosystem disruption, life-course modulation, and resilience within a unified framework, this review provides a mechanistically coherent model linking ultra-processed dietary environments to microbiota-mediated chronic disease risk. Here, we formalize this integrative perspective as the Three-Layer Ecosystem Disruption (TLED) Model. Full article

Background: Persistent infection with high-risk human papillomavirus (hr-HPV) is the necessary agent of cervical cancer, yet its molecular definition remains heterogeneous. Multiple molecular approaches have been developed to characterize HPV persistence, including repeated detection of viral DNA, assessment of viral oncogene expression, and analysis of HPV-related DNA methylation. These approaches originate from different scientific traditions and reflect distinct conceptualizations of persistence. Objective: To synthesize and compare molecular methods used to detect persistent HPV infection through a narrative review and to clarify how different biomarkers conceptualize HPV persistence and disease progression. Methods: We conducted a narrative review in accordance with the RAMESES guidelines. Medline, Scopus, and the Cochrane Library were searched for original studies published between 2016 and 2025 investigating molecular markers of HPV persistence. An interpretive synthesis was performed to identify research traditions, underlying assumptions, and clinical implications. Results: Three major molecular narratives were identified. Persistent DNA positivity defines persistence as repeated detection of the same HR-HPV genotype over time and reflects an epidemiological–virological perspective with high sensitivity but limited specificity. Persistent oncogene expression, assessed by E6/E7 mRNA detection, conceptualizes persistence as active viral oncogenic activity and shows improved specificity for clinically relevant lesions. Persistent epigenetic imprint, measured by DNA methylation of viral and host genes, captures cumulative biological effects of long-term infection and is strongly associated with high-grade lesions and cervical cancer. These narratives represent complementary stages along a continuum of molecular persistence. Conclusions: Molecular markers of HPV persistence reflect the evolving understanding of cervical carcinogenesis, progressing from repeated viral DNA detection to oncogenic activity and stable epigenetic alterations. These complementary biomarkers represent different biological stages of persistent infection and may improve risk stratification in HPV-based screening and triage strategies. Full article

Understanding the long-term impact of historical land system failures on rural elderly dietary habits is essential for enhancing rural well-being. Existing studies focus on physiological effects but often neglect the deep-seated psychological mechanisms and resource boundaries driving irrational late-life consumption. By integrating the Stimulus-Organism-Response (S-O-R) model and compensatory consumption theory, this study uses balanced panel data from the CLHLS and a Cohort-Difference-in-Differences framework to identify causal effects. The results show that: (1) Early-life famine exposure creates a rigid life-cycle consumption imprint. Adolescent exposure leads to significantly higher levels of compensatory food consumption in later life despite current improvements in material conditions. (2) Learned helplessness drives historical trauma into compensation. Mechanism analysis shows that individuals attempt to restore a sense of order and security by controlling micro-level food intake. (3) The behavioral impact of this trauma depends on resource boundary conditions. The compensatory drive is stronger in resource-scarce regions but weakens with individual economic self-reliance. Additionally, professional community counseling shows a reversal effect, surpassing informal family support which suffers from a “compliance paradox”. These results are robust after a series of validation tests. Our study supports shifting rural revitalization policies from material aid to professional psychological intervention. Full article

Interferon-induced transmembrane proteins (IFITMs) are broad-spectrum antiviral factors that restrict the entry of many enveloped viruses, including HIV-1, by modifying host membrane properties and trapping fusion at the hemifusion stage. Beyond blocking entry in target cells, IFITMs also reduce the infectivity of virions produced from IFITM-expressing cells, a phenomenon termed “negative imprinting”. Conserved motifs, such as the amphipathic helix and oligomerization motifs, have been reported to be essential for IFITM-mediated protection of target cells from viral infection. Yet, the impact of IFITM incorporation on progeny virion infectivity remains poorly defined. Here, we show that IFITM3 mutants defective in target cell protection activity still markedly impair HIV-1 fusion/infection upon incorporating into virions, without affecting viral maturation or Env incorporation. Immunofluorescence studies suggest mislocalization of the IFITM3 mutants as the reason for the lack of antiviral activity in target cells. Testing the antiviral activity of chimeras between antiviral and non-antiviral IFITM orthologs failed to clearly identify a domain responsible for reduction of HIV-1 infectivity, suggesting that multiple domains may be required for negative imprinting. Interestingly, co-incorporation of non-antiviral dog IFITM1 with human IFITM3 did not interfere with IFITM3’s negative imprinting activity, despite forming mixed hetero-oligomers. This finding implies a dominant, oligomerization-independent antiviral phenotype of IFITM3 in virions. Our findings suggest that IFITMs may protect target cells and negatively imprint progeny virions through distinct mechanisms, underscoring the need to further characterize the molecular basis for the reduced fusion competence of IFITM-containing HIV-1 particles. Full article

Haemophilus influenzae (H. influenzae) is an important respiratory pathogen that can cause various invasive and non-invasive bacterial infections requiring rapid and sensitive detection. In recent years, electrochemical biosensors have emerged as a practical alternative for pathogen detection due to their high sensitivity, portability and short analysis time. Molecularly imprinted polymers (MIPs) are a class of synthetic receptors designed to mimic biological recognition through template-directed polymerization. In this study, an electrochemical biosensor based on MIPs was developed for the selective detection of H. influenzae. The polymeric film composed of methacrylamide (MAM), acrylamide (AAM), and vinylpyrrolidone (VP) monomers was fabricated on a gold screen-printed electrode (gold-SPE). The results of cyclic voltammetry (CV) revealed a strong redox current shift corresponding to bacteria concentrations within an analytical range of 1–10,000 CFU/mL with LOD 1.03 CFU/mL, with relative standard deviation (RSD) values below 9% across the tested concentration range. The optimized composition yielded and exhibited excellent selectivity when tested against non-target bacteria such as Klebsiella pneumoniae, Pseudomonas aeruginosa, and Staphylococcus aureus. Full article

The ACE-funded project Clay and Augmented Reality (CAR) explored how the combination of tactile and digital media might activate embodied memory, foster art expression, and stimulate new forms of creative learning. The project investigated memory recollection by integrating clay sculpting with immersive Augmented Reality (AR), focusing on psychoanalysis and participatory art research. The created multisensory environment was a significant element in reconnection with early-life experiences. Six workshops engaged over 40 participants in memory-mapping through AR interfaces and tactile activities. Extensive theoretical and methodological research focuses on theories of Freud, Polanyi, Ettinger, and art practice of Hepworth, integrating embodied making with experimental technologies, including 3D scanning, ARvid/HoloLens experiences, and qualitative feedback analysis. The outcome is a hybrid repository of over 120 memory-informed artefacts titled My Mother and I, presented on the sketchfab platform. The collection showcases intergenerational memory, imprints of intangible and visual storytelling. During the research, the significance of slowness, play, and relational presence was underlined as conditions for memory activation. It concludes that memory lives in gesture, spatial perception and given care, and that hybrid arts-based methods offer new epistemologies of healing, creativity and pedagogical inquiry. CAR presents a model for participatory research that bridges physical and digital realms in deeply human ways. Full article

In this study, core–shell molecularly imprinted polymers (CS-MIP) were utilized for the detection of the herbicide S-metolachlor in surface water samples, collected from a river and pond that are in the proximity of cornfields. The study revealed that no traces of herbicide were detected in the samples that were analyzed. The collected water samples were treated with membrane filtration—microfiltration and ultrafiltration. The adsorption isotherms were fitted using the Langmuir, Freundlich, Dubinin–Radushkevich, and Scatchard models. This indicated that the Scatchard model is the most appropriate for CS-MIP. The data obtained from the kinetic study were analyzed using the pseudo-first-order and pseudo-second-order models, as well as Fick’s second law. For CS-MIP, the most suitable model was determined to be the particle diffusion model, while for core–shell non-imprinted polymers (CS-NIP), the film diffusion model was identified as the limiting step. A method for the desorption of S-metolachlor from the pH-sensitive sorbent bed has been developed, thereby enabling the material to be reused. The optimum eluent from the multicomponent solution was determined to be a 30% aqueous ethanol solution with a pH of approximately 9. This solution effectively removed the majority of contaminants, with the exception of S-metolachlor, which was retained within polymer pores. Full article

Melatonin, an indoleamine crucial for regulating circadian rhythms, sleep–wake cycles, and immune–endocrine homeostasis, is present in biological fluids at extremely low concentrations, making its quantification analytically challenging. This narrative review provides a critical comparative assessment of current methodologies for melatonin determination across various biological matrices—plasma, urine, saliva, breast milk, and hair. The discussed techniques include immunoassays, colorimetric and spectrophotometric methods, chromatographic–mass spectrometric platforms (LC–MS/MS, UHPLC–MS/MS), and emerging biosensors. Each approach is evaluated regarding analytical sensitivity, specificity, reproducibility, cost, and clinical applicability. While immunoenzymatic and colorimetric techniques offer accessible, low-cost solutions for large-scale or preliminary studies, LC–MS/MS remains the benchmark for reference analysis, providing sub-picogram detection limits and multiplexing capability. However, its high cost, procedural complexity, and inter-laboratory variability limit routine implementation. New developments, including molecularly imprinted polymers, dispersive microextraction, and nanomaterial-based biosensors, suggest a shift toward hybrid, sustainable, and portable analytical platforms. By synthesizing recent methodological advances and identifying key limitations, this review aims to guide researchers and clinicians in selecting the most appropriate analytical approach for clinical, pharmacological, and circadian biomonitoring applications. Full article

In October 2020, the International Coalition to Eliminate Hepatitis B Virus (ICE-HBV) updated the biomarker framework; they underscored major advances in the understanding of viral and immunologic markers, yet highlighted persistent gaps in their clinical integration. This is particularly the case in low- and middle-income regions, where HBV remains a substantial public health problem, including in the pediatric population. To synthesize contemporary evidence, a structured literature search was performed across PubMed/MEDLINE, Scopus, and Web of Science. Classical biomarkers—including HBeAg, HBV DNA, and quantitative HBsAg—remain central for disease staging and therapeutic monitoring, while emerging markers enhance precision in risk stratification: HBcrAg, which correlates strongly with intrahepatic cccDNA activity and virological rebound after NA discontinuation; serum HBV RNA, which offers additional insight into transcriptional activity, which is particularly relevant for RNA-targeted therapies; and quantitative anti-HBc (qAnti-HBc), which reflects stronger humoral imprinting and more competent HBV-specific immune memory, and is consistently associated with fewer ALT flares and reduced virological rebound at end of treatment. Despite these advances, assay standardization, genotype-related variability, and limited pediatric data constrain broad clinical application. Integrating classical and emerging biomarkers into personalized therapeutic algorithms offers substantial potential for refining treatment decisions, predicting post-treatment outcomes, and advancing HBV elimination strategies in diverse clinical settings. Full article

Nth-root gates allow for a paced application of two-qubit operations. We apply them in quantum thermodynamic protocols for operating a quantum heat engine. A set of circuits for two and three qubits is compared by considering maximum work production and related efficiency. Our results show that for all circuits considered and most regions of initial parameter space, quantum coherence of one of the qubits strongly increases the maximum work production and improves the system’s performance as a quantum heat engine. In such circuits, coherence is initially imprinted into one of the qubits, improving the overall maximum extractable work. We focus here on the efficiency of such work extraction, assuming the initialisation of the qubits is a free resource. For the novel protocol that employs fractional control gates, work is generated with 84% up to 100% efficiency. Further, we uncover a strong linear correlation between work production and many-body correlations in the working medium generated by these gates. Full article