Search Results (2,374)

Noninvasive liquid biopsy for monitoring circulating tumor cells offers valuable insights for predicting therapeutic responses. We developed TelomeScan^® (OBP-401), based on the detection of telomerase activity as a universal cancer cell marker and an indicator of the presence of viable circulating tumor cells (CTCs) for patients with advanced non-small cell lung cancer (NSCLC). This system evaluated CTC subtypes characterized by programmed death ligand 1 (PD-L1), an immune checkpoint molecule, and vimentin, an epithelial–mesenchymal transition (EMT) marker, using a multi-fluorescent color microscope reader. The prognostic value and therapeutic responses were predicted by dynamically monitoring CTC counts in 79 patients with advanced NSCLC. The sensitivity and specificity values of TelomeScan^® for PD-L1⁽⁺⁾ cells (≥1 cell) were 75% and 100%, respectively, indicating high diagnostic accuracy. PD-L1⁽⁺⁾ and EMT⁽⁺⁾ in CTCs were detected in 75% and 12% of patients, respectively. Detection of PD-L1⁽⁺⁾CTCs and PD-L1⁽⁺⁾EMT⁽⁺⁾ CTCs before treatment was associated with poor prognosis (p < 0.05). Monitoring of reducing and increasing PD-L1⁽⁺⁾ CTC counts in two sequential samples (baseline, cycle 2 treatment) correlated significantly with partial response (p = 0.032) and progressive disease (p = 0.023), respectively. Monitoring PD-L1⁽⁺⁾CTCs by TelomeScan^® will aid in anticipating responses or resistance to frontline treatments, optimizing precision medicine choices in patients with NSCLC. Full article

Harmful algal blooms (HABs) caused by toxic species such as Pseudo-nitzschia hasleana pose significant risks to marine ecosystems and human health. This study investigates the effects of heating rate on the fluorescence temperature curves (FTCs) of P. hasleana and compares them with non-toxic species (Phaeodactylum tricornutum and Picochlorum maculatum) to design a reliable detection method. An increasing heating rate leads to a change in the temperature spectrum of the fluorescence of the studied algae and to increasing differences between them. During the study, the FTCs were measured in the temperature range of 20–80 °C and at heating rates of 1, 2, 3, and 6°/min. The results showed that P. hasleana exhibited a distinct local fluorescence maximum at 45–55 °C when heated at a rate of 3 °C/min or more, which was absent in non-toxic species. Additionally, rapid heating (6 °C/min) preserved fluorescent pigment–protein complexes, yielding four-fold higher fluorescence intensity at 70–80 °C compared to slower rates. There were no such changes for the microalgae P. maculatum and P. tricornutum. The results of this study make it possible to increase the efficiency of detecting hazardous microalgae using non-invasive optical monitoring methods. These findings demonstrate that controlled heating protocols can enhance the species-specific identification of toxic microalgae, offering a practical tool for early HAB detection. Full article

For accurate and reliable monitoring, compliance monitoring devices (CMDs) in Port State Control must meet strict and uniform quality standards. This study evaluates how effectively CMDs, using variable fluorescence (VF) and fluorescein diacetate (FDA) technologies, detect live organisms in the 10–50 μm size range. Employing a detailed analytical framework, we analyzed key performance indicators, including accuracy, precision, sensitivity, specificity, trueness, detection limits, and reliability by comparing CMD outputs to those of traditional microscopic methods. Reliability assessments revealed that VF-type CMD and FDA-type CMD performed robustly, with a stability rate of 99% for both, surpassing the 90% verification threshold. Precision analysis indicated an average CV exceeding 0.25; however, some samples, especially those below the D-2 standard, achieved a CV of less than 0.25. Concordance evaluations revealed that VF-CMDs and FDA-CMDs achieved rates of 63% and 55%, respectively, falling short of the 80% verification standard and underscoring the need for further calibration or optimization. Structural equation modeling shows that organism density significantly influences CMD performance. These findings underscore the challenges of accurately detecting low organism concentrations, further complicated by biological diversity and environmental variability. Despite their limitations in assessing ballast water compliance, CMDs are effective initial screening tools. Full article

Lactate is a key metabolite with applications ranging from monitoring training efficiency to early sepsis detection and monitoring the metabolic state of cell cultures. In this study, a paper-based lactate sensor utilizing a fluorescent readout was developed. Unlike common lactate dehydrogenase (LDH)-based methods, these sensors use a green fluorescent protein (GFP) or mApple-coupled lactate binding domain, which provides a fluorescent readout upon lactate binding. We demonstrate that immobilizing these proteins on paper does not affect their ability to bind lactate and produce a fluorescent readout, by monitoring lactate levels in the cell culture supernatant applying different cell culture conditions. Full article

Wound infection significantly hinders the healing process. Clinical signs and symptoms (CSS) of infection are used to assess the presence of infection and guide whether to intervene. However, CSS may not be dependable, lacking sensitivity and specificity, and may not accurately reflect bacterial load. The interpretation of CSS can be subjective and can vary between clinicians since they depend on patient characteristics, type of wound, and stage of infection. In addition, conditions such as peripheral vascular disease or diabetes can mask the signs and symptoms of infection. Inaccurate or late diagnosis of infected wounds can be costly to the patient and to healthcare systems. Fluorescence imaging (FLI) provides a safe, objective, highly sensitive approach to detect clinically significant bacterial levels in wounds. This information allows individualized treatment plans and a way to monitor bacterial burden and wound healing longitudinally. This publication reviews the evidence for point-of-care FLI as a means of improving wound identification with a high bacterial burden and the clinical and healthcare economic benefits of earlier and more accurate detection of bacteria. Full article

Thin liquid film corrosion is a critical failure mechanism for the atmospheric environment and industrial infrastructure. This review systematically examines relevant methods and recent advances in characterizing and simulating this phenomenon. Various measurement methods for liquid film thickness, composition, and conductivity are investigated, with particular focus on the advantages of non-contact optical technology and X-ray fluorescence (XRF) in in situ monitoring and analysis. For corrosion simulation, the finite element method (FEM), cellular automaton (CA), and molecular dynamics (MD) are widely used. Their combination has synergistic potential in revealing essential corrosion mechanisms and establishing prediction models across scales. Full article

Autophagy is a central pathway involved in maintaining cellular homeostasis during development, metabolism, and regeneration. The selective autophagy receptor p62/SQSTM1 is a multifunctional protein that plays a critical role in regulating autophagic activity by interacting with LC3/Atg8 proteins and ubiquitinated substrates. Aedes albopictus has rapidly spread worldwide and poses a serious threat to human health by transmitting dengue and other arboviral diseases. In the present study, we identified a putative p62/SQSTM1 homolog protein (AaSQSTM1) in Ae. albopictus, which contains conserved structural regions, including the Atg8 family interaction motif (AIM) and ubiquitin-associated (UBA) domain. The expression levels of AaSQSTM1 and AaAtg8 varied from the egg stage to the adult stage in Ae. albopictus. Quantitative analyses revealed that blood-feeding upregulated the expression levels of AaSQSTM1 and AaAtg8 in the ovaries of female adults. AaSQSTM1 was applied to monitor autophagic activity alone or with AaAtg8 by assaying endogenous protein levels and overexpressing fluorescent reporters in C6/36 cells. Our study revealed that AaSQSTM1 regulates the autophagic activity with AaAtg8, providing a basis for studying the autophagy process in mosquitoes. Full article

Effective environmental monitoring is critical for preventing microbial and allergenic cross-contamination. However, manual swabbing methods, commonly used to verify hygienic conditions, are prone to inconsistent results because of variability in pressure, coverage, and techniques. Two novel solutions will be explored to address these challenges: a robotic swabbing system with tactile sensing control, and a fluorescence/absorbance spectrometer for non-contact, protein-based residue detection. The robotic system was evaluated against trained and untrained humans, measuring water pickup, surface coverage, and pressure consistency. Concurrently, the fluorescence system analyzed model poultry protein soil to correlate spectral patterns with contamination levels. The robotic system demonstrated statistically superior performance, achieving consistent force application and near-complete surface coverage, overcoming key limitations of manual sampling. The fluorescence system distinguished contamination with high sensitivity, validating its use as a rapid, non-contact assessment tool. Together, the robotic sample acquisition and the spectrometer’s sensitive analysis provide a dual-modality framework for enhancing hygiene monitoring in manufacturing facilities. Full article

Food contamination poses a significant global public health challenge, necessitating the accurate detection of hazardous substances within complex food matrices. Magnetic core–shell nanomaterials have emerged as critical materials for trace contaminant analysis due to their efficient magnetic separation capabilities, excellent adsorption performance, and tunable surface functionalities. By encapsulating magnetic cores with functional shells, these nanomaterials combine rapid magnetic responsiveness with advantageous shell properties, including target-specific recognition, enhanced dispersibility, colloidal stability, and high surface area. This enables a comprehensive detection approach encompassing target adsorption, rapid separation, and signal amplification. Magnetic core–shell nanomaterials have been effectively integrated with techniques including magnetic solid-phase extraction (MSPE), fluorescence (FL) assays, and lateral flow immunoassays (LFIAs), demonstrating broad applicability in food safety monitoring and detection. This review outlines synthesis strategies for magnetic core–shell nanomaterials, highlights their applications for food contaminant detection, and discusses future challenges and prospects in the field of food safety analysis. Full article

This study presents a multidisciplinary forensic experiment evaluating the destructive effects of household chemical agents on animal bone and soft tissue analogues, with a particular focus on traumatic lesion persistence and trace evidence detection. A total of 59 domestic pig rib fragments, subjected to standardized lesions inflicted with either an axe or a ceramic knife, were immersed in acidic, basic, and oxidizing solutions for over two months. Samples were monitored through macroscopic scoring, serological species identification, and X-ray fluorescence (XRF) analysis. Results showed marked differences in tissue degradation depending on the chemical, with lesion persistence ranging from rapid obliteration to prolonged detectability. Axe-induced wounds generally remained visible longer than ceramic knife injuries, which tended to be erased earlier. XRF analysis revealed differential residue detection, with metallic traces persisting only under certain conditions, while serological testing demonstrated varying levels of protein preservation despite advanced tissue degradation. These findings underscore the forensic relevance of recognizing lesion persistence and chemical-specific degradation patterns, contributing to the assessment of chemical body disposal attempts and to the development of experimental training models for forensic practice. Full article

Rapid and accurate bacteria identification, particularly Escherichia coli (E. coli), is essential in the monitoring of health, environment, and food safety. E. coli, a prevalent pathogenic bacterium, serves as a key indicator of food and water contamination. Carbon quantum dots (CQDs) have appeared as promising fluorescent probes because of their small size, ease of synthesis, low toxicity, and tunable fluorescence using different carbon-rich precursors. Advances in both bottom-up and top-down synthesis procedures have enabled precise control over CQD properties and surface functionalities, enhancing their capabilities in biosensing. Among the critical factors influencing CQD performance is the strategic selection of precursors, which determines the surface chemistry and recognition potential of the resulting nanodots. The integration with other nanomaterials and the surface modification of CQDs with specific functional groups or recognition elements further improves their sensitivity and selectivity toward E. coli. This review summarizes recent progress in the modification of CQDs for the fluorescent detection of E. coli, highlighting relevant sensing mechanisms and the influence of different precursors, such as antibiotics and sugars, as well as various functionalization and surface modification strategies. The aim is to provide insight into the rational design of efficient, selective, and cost-effective CQD-based biosensors for bacterial detection. Full article

Heavy metal contamination in soil poses significant ecological risks, particularly within agricultural and forest ecosystems. This study evaluates the bioaccumulation of heavy metals (Cr, Co, Ni, Cu, Zn, As, Mo, Pb) by the ground beetle Carabus coriaceus Linnaeus, 1758, across contrasting Croatian ecosystems, with a focus on the role of soil pH in shaping metal dynamics. Concentrations in soils (0–30 and 30–60 cm) and beetle tissues were measured using portable X-ray fluorescence (pXRF), which provides total concentrations; inferences on bioavailability were based on soil properties such as pH and organic matter. Orchard soils showed higher Cu (49.9 mg/kg), Mo (10.3 mg/kg), and Ni (32.5 mg/kg), whereas forest soils contained elevated Zn (105.6 mg/kg), Pb (84.5 mg/kg), As (29.7 mg/kg), and Co (16.3 mg/kg). Beetles accumulated up to 481.0 mg/kg Zn at the orchard and 90.0 mg/kg Cu at the forest site. Bioaccumulation factors exceeded 1.0 for Co, Cu, and Zn, with particularly high values for Zn (2.20–5.75) suggesting both site-specific availability and possible physiological regulation. Soil and beetle analyses were complementary rather than equivalent: soils indicated total load, while beetles reflected biologically relevant fractions. C. coriaceus, therefore, represents a sensitive bioindicator, suitable for biodiversity-based soil contamination monitoring. Full article

Insights into the state of individual cells within a living organism are essential for identifying diseases and abnormalities. The internal state of a cell is reflected in its morphological features and changes in the localization of intracellular molecules. Using this information, it is possible to infer the state of the cells with high precision. In recent years, technological advancements and improvements in instrument specifications have made large-scale analyses, such as single-cell analysis, more widely accessible. Among these technologies, imaging flow cytometry (IFC) is a high-throughput imaging platform that can simultaneously acquire information from flow cytometry (FCM) and cellular images. While conventional FCM can only obtain fluorescence intensity information corresponding to each detector, IFC can acquire multidimensional information, including cellular morphology and the spatial arrangement of proteins, nucleic acids, and organelles for each imaging channel. This enables the discrimination of cell types and states based on the localization of proteins and organelles, which is difficult to assess accurately using conventional FCM. Because IFC can acquire a large number of single-cell morphological images in a short time, it is well suited for automated classification using machine learning. Furthermore, commercial instruments that combine integrated imaging and cell sorting capabilities have recently become available, enabling the sorting of cells based on their image information. In this review, we specifically highlight practical applications of IFC in four representative areas: cell cycle analysis, protein localization analysis, immunological synapse formation, and the detection of leukemic cells. In addition, particular emphasis is placed on applications that directly contribute to elucidating molecular mechanisms, thereby distinguishing this review from previous general overviews of IFC. IFC enables the estimation of cell cycle phases from large numbers of acquired cellular images using machine learning, thereby allowing more precise cell cycle analysis. Moreover, IFC has been applied to investigate intracellular survival and differentiation signals triggered by external stimuli, to monitor DNA damage responses such as γH2AX foci formation, and more recently, to detect immune synapse formation among interacting cells within large populations and to analyze these interactions at the molecular level. In hematological malignancies, IFC combined with fluorescence in situ hybridization (FISH) enables high-throughput detection of chromosomal abnormalities, such as BCR-ABL1 translocations. These advances demonstrate that IFC provides not only morphological and functional insights but also clinically relevant genomic information at the single-cell level. By summarizing these unique applications, this review aims to complement existing publications and provide researchers with practical insights into how IFC can be implemented in both basic and translational research. Full article

Background/Objectives: Hospital environmental contamination represents a significant source of healthcare-associated infections, yet standardized monitoring approaches are still inconsistent globally. This scoping review aimed to find and assess various tools and strategies used to monitor hospital environmental cleaning and disinfection practices, mapping current evidence and finding research gaps to inform evidence-based recommendations for healthcare facilities. Methods: Following PRISMA Scoping Review guidelines, we conducted comprehensive searches on PubMed and Scopus databases from 2010–2025 using terms related to environmental monitoring, surface sampling, air sampling, and infection control in hospital settings. Eighteen studies met inclusion criteria; data were extracted using standardized forms and synthesized narratively, organizing findings by monitoring approach categories. Results: These studies revealed diverse monitoring approaches including fluorescent markers (22.2%), ATP bioluminescence assays (33.3%), microbiological methods (44.4%), and direct observation techniques (27.8%). MRSA was the most frequently targeted pathogen (55.6%), with limited attention to Gram-negative multidrug-resistant organisms and fungi. Studies showed significant variability in pass/fail thresholds (ATP: 50–500 RLU) and lack of standardized benchmarks. Recent research (50% post-2021) increasingly incorporates molecular techniques and digital technologies, though implementation remains resource intensive. Conclusions: A multimodal approach combining visual inspection, ATP assays, and microbiological methods appears most effective for comprehensive environmental monitoring. Critical gaps include lack of standardized thresholds, limited pathogen diversity focus, and insufficient integration of emerging digital technologies. Future research should focus on setting universal standards, expanding pathogen coverage, and assessing cost-effective monitoring strategies, all while ensuring legal compliance with hygiene regulations to enhance patient safety. Full article

Cocultivation of microalgae and aerobic methanotrophs represents an emerging biotechnology platform to produce high-protein biomass, yet quantifying individual species in mixed cultures remains challenging. Here, we present a rapid, low-cost method—differential sedimentation, optical density, and fluorescence (DSOF)—to determine the abundance of coculture members. DSOF exploits differences in cell size and pigment autofluorescence between the thermoacidophilic microalga and methanotrophic species Galdieria sp. RTK37.1 and Methylacidiphilum sp. RTK17.1, respectively, to selectively sediment algal cells and estimate population contributions via OD₆₀₀ and phycocyanin fluorescence. Evaluation with model suspensions across a wide cell density range (0 ≤ [Galdieria]: ≤ 3.23 A.U., and 0 ≤ [Methylacidiphilum] ≤ 1.54 A.U.) showed strong agreement with known values, with most absolute errors < 0.1 A.U. and relative errors < 10% at moderate biomass levels. Application to live batch cocultures under microalga or methanotroph growth-suppressed conditions, and during simultaneous growth, demonstrated accurate tracking of population dynamics and revealed enhanced methanotroph growth in the presence of oxygenic microalgae. While DSOF accuracy decreases at very concentrated biomass (>2.0 A.U. for Galdieria) or under nitrogen-limiting conditions, the model provides a practical, scalable alternative to more complex, invasive or expensive techniques, enabling near real-time monitoring of microalgae–methanotroph cocultures. Full article