Search Results (293)

Early, rapid, and accurate detection is essential for clinical management and epidemiological control of acute respiratory infections caused by pathogens. Traditional testing methods such as microbial culture, serological testing, and PCR are restrictive in terms of operation and logistics and are therefore not easily used in point-of-care settings. The CRISPR/Cas system is an adaptive prokaryotic immune system composed of clustered regularly interspaced short palindromic repeats and their associated proteins, which has been used as a nucleic acid diagnostic platform with programmable sequence-specific target recognition and signal-amplifying collateral cleavage activity. Existing reviews have mostly focused on the classification of Cas enzymes or amplification strategies; in this review, a pathogen-centric approach was taken, covering viral pathogens (SARS-CoV-2, influenza virus, RSV, HAdV and VZV), bacterial pathogens (Mycobacterium tuberculosis, Streptococcus pneumoniae, Mycoplasma pneumoniae and Staphylococcus aureus) and fungal pathogens (Aspergillus fumigatus and Pneumocystis jirovecii). Key technological advances, such as isothermal amplification coupling, single-vessel integrated reaction designs, amplification-free digital detection, and electrochemical biosensor integration, are evaluated for Cas9-, Cas12-, and Cas13-based systems, with their mechanistic bases outlined. The current challenges that hinder clinical translation, such as sample matrix interference, multiple signal cross-talk, crRNA off-target effects, and the lack of large-scale validation studies, are critically assessed. At the same time, future pathways for portable, integrated, and inexpensive diagnostic platforms are suggested. Full article

Hydrogel-forming microneedles (HFMNs) are minimally invasive interfaces that access interstitial fluid (ISF) through skin penetration, swelling-mediated uptake, analyte diffusion, and hydrated sensor integration. This review examines HFMN architectures, skin–device interfaces, ISF transport, molecular-recognition and signal-transduction strategies, analytical performance, benchmarking, wear-associated failure modes, therapeutic monitoring, and translational priorities. The field has expanded from glucose sensing to metabolites, ions, hormones, proteins, nucleic acids, microbial and wound biomarkers, and therapeutic drugs, enabled by advances in hydrogel chemistry, conductive networks, nanostructured electrodes, catalysis, affinity recognition, molecular imprinting, optical readouts, and multiplexed wearables. Performance remains context dependent and requires physiological range, calibration stability, biofouling resistance, reliable insertion, validated ISF-reference correlations, and interpretable thresholds. Evidence is strongest in artificial matrices, ex vivo tissue, and animals, while human validation remains limited. Translation will require standardized mechanics and transport reporting, longer wear studies, sterilization-compatible chemistries, scalable manufacturing, and clinical validation. HFMNs may complement rather than replace blood-based diagnostics. Full article

Portable sensing systems are increasingly important in biological and chemical analyses because they can provide analytical information at the point of decision-making. While traditional laboratory methods remain crucial for reference measurements, regulatory validation, and high-precision quantification, portable systems emphasize rapid response, convenience, cost-effectiveness, robustness, and relevance to decision-making. This paper views portable sensing systems as integrated analytical platforms rather than isolated sensing elements. The paper discusses recognition elements, including enzymes, antibodies, nucleic acid probes, aptamers, molecularly imprinted polymers, nanomaterials, and hybrid recognition interfaces, as well as electrochemical, optical, mass-sensitive, thermal, field-effect, and hybrid sensing technologies. Furthermore, this paper reviews platform designs, including paper-based analytical devices, chip lab systems, smartphone-assisted sensors, wearable and flexible sensors, handheld instruments, and wireless sensor networks. It explores their applications in sample handling, calibration, data processing, and field deployment. Applications of this technology include point-of-care diagnostics, pathogen detection, wearable health monitoring, agriculture, veterinary medicine, environmental monitoring, food safety, industrial process control, forensic analysis, public safety, and occupational exposure assessment. The report focuses on sample acquisition, miniaturized preparation, reagent storage, matrix interference, calibration transfer, signal conditioning, machine learning, cloud platforms, analytical validation, and decision support. Furthermore, it identifies key obstacles to translating academic prototypes into industrial products, including reproducibility, stability, manufacturability, ease of use, cybersecurity, regulatory approval, and market acceptance. Future development requires fully integrated sample-to-result systems, multimodal sensing, artificial intelligence, sustainable single-use materials, self-powered devices, and system-level validation under real-world operating conditions. Full article

Cancer diagnosis and longitudinal monitoring increasingly depend on biosensing technologies capable of detecting low-abundance, heterogeneous, and dynamic biomarkers in complex biological samples. Hydrogel-based biosensors offer a distinctive materials platform for this purpose because their hydrated, porous, tunable, and biomolecule-compatible networks can integrate molecular recognition, antifouling protection, nanomaterial-assisted signal amplification, and three-dimensional biological interfaces within a single sensing architecture. Across cancer-focused applications, hydrogels have been engineered to detect nucleic acids, soluble protein markers, tumor-associated enzymes, extracellular vesicles, circulating tumor cells, metabolic products, redox signals, and tumor microenvironmental cues in matrices such as serum, plasma, saliva, urine, sweat, blood, cell lysates, and three-dimensional cancer models. Their functional value extends beyond passive immobilization: hydrogels can serve as programmable recognition networks, gated reservoirs, conductive interfaces, optical and plasmonic scaffolds, degradable enzyme-responsive matrices, and cell-compatible microenvironments. These attributes support sensitive biomarker detection, multiplexed profiling, portable and smartphone-assisted formats, wearable or minimally invasive systems, and dynamic monitoring of tumor behavior and treatment response. Nevertheless, the field remains uneven in translational maturity, with many platforms still requiring broader clinical validation, standardized benchmarking, manufacturable device designs, reproducible fabrication, and practical assessment of assay complexity, storage stability, and patient-sample performance. This review positions biomarker-responsive hydrogels as a convergence point between advanced materials engineering and clinically oriented cancer biosensing, with particular promise for liquid biopsy, decentralized diagnostics, and tumor-state-resolved monitoring. Full article

Accurately detecting viable foodborne pathogenic bacteria is essential for food safety risk assessments and public health interventions. Traditional plate counting is time-consuming and operationally cumbersome. Immunological assays are unable to distinguish viable from dead cells, whereas conventional nucleic acid amplification is often affected by residual DNA originating from dead bacteria. These limitations render conventional approaches inadequate for rapid and precise field detection. Functional nucleic acids (FNAs) offer a promising alternative for viability detection because of their high sensitivity, specificity, target diversity, and programmable integrability. This review provides a systematic overview of molecular recognition strategies and FNA-based detection technologies for identifying viable foodborne microorganisms. We categorize the biomarkers targeted by FNAs into nucleic acids, surface structures, and metabolic activities. Building on this categorization, we examine the core principles and technological evolution of primers, aptamers, DNAzymes, guide nucleic acids, and oligonucleotide probes in viability discrimination. We then outline the practical applications of these technologies across the food supply chain and discuss the remaining challenges and future directions in the field. Ultimately, this work provides a theoretical reference and practical guidance for ensuring food safety and advancing precise microbial risk management. Full article

Extracellular vesicles (EVs) are membrane-enclosed nanoparticles that mediate intercellular communication in the immune system by transferring proteins, nucleic acids, and lipids. Their biocompatibility, nanoscale size, and capacity for cell-type-selective delivery have stimulated growing interest in engineering EVs as therapeutic platforms. In this review, we discuss recent advances in EV engineering for immune regulation, focusing on surface display, cellular targeting, and cargo loading strategies. A central concept is that engineered EVs should not be viewed simply as delivery vehicles, but as programmable immune interfaces. EVs can integrate antigen specificity, target-cell recognition, therapeutic cargo delivery, and defined immunostimulatory or tolerogenic signals within a single nanoscale particle. By combining these modular elements, engineered EVs can be designed to direct immune responses in a context-dependent manner. We examine how this principle is being applied to cancer immunotherapy, immune suppression, and antigen-specific tolerance induction, including antigen-presenting EVs, cytotoxic and RNA-loaded EVs, checkpoint-modulatory EVs, MSC-derived EVs, and engineered platforms for autoimmune and inflammatory diseases. We also discuss the clinical translation of engineered EV therapeutics, with emphasis on manufacturing, characterization, potency assays, biodistribution, safety, and regulatory challenges. Together, current advances suggest that programmable EV immune interfaces may provide a versatile foundation for next-generation cancer immunotherapy and antigen-specific immune regulation. Full article

Nucleic acids exhibit structured electromagnetic features shaped by classical electronegativity (EN) patterns. Mapping Pauling EN values across DNA and RNA reveals a largely invariant, high-EN phosphodiester backbone that provides a consistent electrostatic scaffold, while nucleobases introduce sequence-specific electron density shifts that generate tunable recognition fields. Together, these features create a dual-system framework in which a stable electrostatic background supports sequence-dependent informational cues. Within this environment, short-timescale vibronic interactions may arise from patterned vibrational and electronic behavior, producing modest “quantum overlay” effects compatible with known decoherence constraints. These structured, anisotropic electrostatic features may help explain differences in stability between DNA and RNA, the functional outcomes of nucleoside modifications such as N¹-methylpseudouridine (m¹Ψ), and the sensitivity of translational fidelity to small architectural perturbations. The framework yields experimentally testable predictions involving vibrational relaxation, dipole reorientation, and charge-transfer behavior, offering a classical-to-quantum interpretive bridge that may inform the design of next-generation therapeutic mRNAs. Full article

Human norovirus (HuNoV) is the leading cause of foodborne viral gastroenteritis worldwide, yet its persistence in foods is still commonly interpreted through a simplified framework of contamination and residual survival. Accumulating evidence indicates that HuNoV persistence in food systems may be shaped by dynamic, genotype-dependent interactions with multiple classes of candidate ligands and retention mechanisms associated with hosts, food matrices, and microbiota. This review synthesizes current advances in the molecular basis and ecological consequences of these interactions, with emphasis on canonical and non-canonical glycans, HBGA-like substances, proteinaceous ligands, and bacterial surface or matrix-associated components. Structural, biophysical, and food-model studies collectively suggest that such factors may modulate capsid engagement, tissue retention, bioaccumulation, environmental stability, and, in some experimental systems, infectivity-related outcomes in representative matrices including leafy vegetables, bivalve mollusks, and bacteria-rich food environments. This multi-ligand perspective helps explain the matrix-dependent limitations of conventional washing, depuration, disinfection, and nucleic acid-based detection, as well as the frequent disconnect between measured viral signals and actual transmission risk. By linking molecular recognition to real food scenarios, this review highlights a shift from single-receptor and single-treatment perspectives toward mechanism-informed detection, risk assessment, and intervention strategies. A more integrated understanding of virus-ligand-matrix-microbiota interactions will be essential for improving the prediction and control of HuNoV foodborne transmission. Full article

Virus infection requires coordinated activation of pathogen-sensing, innate immune, and cellular stress response pathways to mount an effective antiviral defense. Recognition of nucleic acid pathogen-associated molecular patterns (PAMPs) by pattern recognition receptors (PRRs) initiates signaling cascades that drive the production of type I interferons (IFNs) and proinflammatory cytokines. These responses are often accompanied by the activation of integrated stress response pathways that help optimize host defense. Cytosolic double-stranded dsDNA, generated during viral infection or released from damaged mitochondria, is sensed by cyclic GMP-AMP synthase (cGAS), which generates 2′3′-cGAMP to activate stimulator of interferon genes (STING). Activated STING translocates from the endoplasmic reticulum to the Golgi, where it drives TBK1-dependent IFN and cytokine production. Previous reports show that cGAS activity is enhanced by Ras-GAP SH3 domain binding protein 1 (G3BP1), a key nucleator of stress granules (SGs), independent of its role in SG assembly. Here, we identify a non-canonical role of G3BP1 as a regulator of DNA sensing responses at multiple levels, including STING intracellular trafficking, in addition to potentiating cGAS activity. Loss of G3BP1 impaired STING-dependent IFN and cytokine responses to HSV-1 infection and viral DNA. G3BP1-deficient cells showed reduced cGAMP-induced STING translocation to the Golgi, induction of type I IFN and proinflammatory cytokines, and activation of the ER stress kinase PERK and stress granule formation. Together, these findings demonstrate G3BP1-STING as a node linking DNA sensing, innate immunity, and stress signaling with broad implications for antiviral defense and diseases characterized by aberrant DNA sensing and stress responses, including neurodegeneration, fibrosis, and autoimmunity. Full article

Grapevine black-foot disease is a destructive trunk disease with a complex pathogen composition that often involves mixed and latent infections, making timely field diagnosis challenging. To improve rapid field detection, we developed a rapid, sensitive, and low instrument-dependent nucleic acid assay. The assay integrates recombinase polymerase amplification (RPA) and clustered regularly interspaced short palindromic repeats (CRISPR)–Cas12a for the detection of Ilyonectria and Dactylonectria, two genera associated with grapevine black-foot disease. Conserved regions of the histone H3 and β-tubulin genes were selected for the design of specific RPA primers and corresponding CRISPR RNAs (crRNAs) for Ilyonectria and Dactylonectria, respectively. A workflow integrating RPA, Cas12a-mediated recognition, and lateral flow assay (LFA)-based visualization was established. The reaction conditions were optimized to enhance amplification efficiency and Cas12a recognition stability. Specificity was evaluated using DNA from target and non-target fungi, and sensitivity was determined using serially diluted templates. Under optimized conditions, the assay detected Ilyonectria DNA at concentrations as low as 3.6 ng/μL within 1 h at 39 °C. For Dactylonectria, the detection limit reached 80 fg/μL within 50 min at 41 °C. No cross-reactivity was observed. The LFA strips exhibited positive and negative bands within minutes, enabling rapid visual interpretation. This RPA-CRISPR/Cas12a-LFA system provides a rapid, visually interpretable approach for detecting selected grapevine black-foot disease-associated species in China. The workflow reduces the requirement for specialized thermocycling and fluorescence detection equipment during amplification and readout, following DNA extraction. Full article

Nanobiosensors, with their unique physicochemical properties, are transformative tools for diagnosing and monitoring neurodegenerative diseases and mental disorders. This article systematically reviews the latest progress of nanomaterial systems and integrated sensing modalities in neurological disease diagnosis. First, we clarify the multiple functional roles of nanomaterials in biosensors, including signal amplification, interface optimization, and spatial positioning, and compare the applicable scenarios of various sensing principles based on different nanomaterials. Second, we evaluate the design and integration strategies of molecular recognition elements (antibodies, nucleic acid aptamers, molecularly imprinted polymers, and CRISPR-Cas systems) and discuss their synergistic integration mechanisms for improving detection performance. In terms of detection targets, we focus on three applications: high-sensitivity quantification of established protein biomarkers, real-time monitoring of dynamic neurochemicals (dopamine, serotonin, glutamate), and emerging liquid biopsy targets such as exosomal cargo and circulating microRNAs. Finally, to address the core challenges of biofouling, sensitivity–selectivity trade-offs, and multiplex detection in complex matrices, we propose three breakthrough directions for next-generation diagnostics: deep integration of multimodal and multiplexing platforms, closed-loop chemical brain–computer interfaces (cBCIs), and AI-driven predictive diagnostic models, collectively enabling a transition from passive detection to active sensing and intervention for precise, rapid, and non-invasive neurological disease management. Full article

Non-canonical nucleic acid structures such as G-quadruplexes (G4s), i-motifs, triplexes, junctions, and structured RNA domains offer coordination environments that differ fundamentally from those of canonical duplex DNA. This review is deliberately G4-centred, because DNA G4s currently provide the most mature mechanistic and biological evidence for noble-metal recognition, while i-motifs, quadruplex–duplex hybrids, junctional structures, R-loops, Z-DNA/Z-RNA, and structured RNA remain emerging or less extensively validated target classes. The discussion addresses how platinum, gold, palladium, and silver complexes recognize these architectures through combinations of coordination chemistry, pi-stacking, electrostatics, scaffold-dependent shape complementarity, and metal-mediated base pairing. A further distinction is made between direct structural recognition, cellular target engagement, and downstream phenotypic responses, emphasizing where causality has been experimentally demonstrated and where it remains inferential. Particular emphasis is placed on G-quadruplexes in telomeric, promoter, and mitochondrial contexts, while i-motifs, junctional DNA, hybrid DNA/RNA structures, and structured RNA are treated as expanding but less mature areas of investigation. The review also critically addresses selectivity, resistance, delivery, and translational challenges, highlighting how the concept of functional architectures can help unify structural chemistry with pathway-level biology in the design of next-generation metallodrugs. Full article

Vaccination remains one of the most effective strategies for preventing infectious diseases. Yet, the success of modern vaccines increasingly depends on the rational design of adjuvants that enhance and shape immune responses. In this review, we examine current and emerging adjuvant strategies for viral vaccines across the human lifespan. Traditional adjuvants, particularly aluminum salts, have long served as the foundation of vaccine formulations. Still, their limitations have driven the exploration of novel platforms, including emulsions, nucleic acid-based adjuvants, and advanced particulate delivery platforms with intrinsic immunostimulatory properties. These newer approaches act through diverse mechanisms, such as activating innate immune pathways via pattern recognition receptors (PRRs) and stimulating antigen-presenting cells (APCs), thereby improving both humoral and cellular immunity. Recent advances in molecular biology, nanotechnology, and systems vaccinology have deepened mechanistic understanding and enabled more precise modulation of immune responses. However, significant challenges remain, including incomplete knowledge of adjuvant mechanisms, limited diversity among licensed adjuvants, safety concerns, and inconsistent efficacy across age groups. In particular, immune immaturity in infants and immunosenescence in older adults highlight the need for age-specific adjuvant strategies. The review identifies critical gaps in comparative studies, long-term safety data, and the development of adjuvants capable of inducing broad and durable immunity. Further, this article integrates licensed and emerging viral vaccine adjuvants through a lifespan framework. Addressing these limitations through interdisciplinary research and precision-based approaches will be essential for advancing next-generation vaccines and improving global preparedness for emerging infectious diseases. Full article

Foodborne pathogens pose a major challenge for public health, food safety regulation, and industrial quality control. Effective surveillance, outbreak tracing, and early warning for foodborne microbial contamination require rapid, reliable detection methods. Conventional culture-based methods are still essential for regulatory confirmation since they recover viable isolates and support downstream verification. However, their long turnaround time, labor-intensive procedures, and limited throughput restrict their use in rapid screening and on-site testing. In recent years, immunological assays, nucleic acid amplification and recognition methods, biosensors, microfluidic systems, CRISPR-Cas platforms, mass spectrometry, sequencing technologies, and artificial intelligence-assisted analysis have expanded the detection toolbox. These methods improve speed, sensitivity, portability, and multiplexing capacity, but their performance still depends on food-matrix properties, sample pretreatment, and application conditions. This review compares representative methods in terms of analytical principle, sample pretreatment, sensitivity, specificity, assay time, viable-cell discrimination, field applicability, and standardization potential. In our opinion, culture-based methods are central for confirmation, while emerging technologies are better suited for rapid screening, integrated analysis, and point-of-need testing. Nevertheless, matrix interference, limited validation in naturally contaminated samples, insufficient viable/dead-cell discrimination, and weak cross-platform consistency remain key barriers to routine use. Full article

Nanomaterial-based biosensors have advanced analytical methodologies by enhancing signal transduction, interfacial reactivity, and molecular recognition across diverse sensing platforms. In parallel, the diversity of nanomaterial compositions, architectures, and interfacial designs has expanded the range of available sensing strategies and performance outcomes. This review addresses limitations through a structure–property–function framework that links nanomaterial characteristics to sensing behavior, performance determinants, and application-specific requirements. Within this framework, nanomaterials are classified according to their dominant functional roles in biosensing, including plasmonic, electroactive, fluorescent and quantum-confined, porous, and hybrid architectures. The influence of morphology, surface chemistry, conductivity, and interfacial design on electrochemical, optical, and hybrid transduction mechanisms is critically examined, and key performance parameters, including sensitivity, selectivity, limit of detection, response time, stability, and reproducibility, are discussed in relation to material properties and sensing configuration. Recent advances in clinical biomarker detection, pathogen and nucleic acid analysis, and environmental and food safety monitoring are also evaluated to illustrate how nanomaterial design is tailored to different analytical contexts. Current limitations related to reproducibility, interface engineering, long-term stability, and scalable device integration are highlighted, together with future directions for the rational development of robust and application-oriented biosensor platforms. Full article