Simultaneous Detection Research Articles

Etiological stratification and prognostic assessment of haemophagocytic lymphohistiocytosis by machine learning on onco-mNGS data and clinical data.

Hemophagocytic lymphohistiocytosis (HLH) is a rare, complicated and life threatening hyperinflammatory syndrome that maybe triggered by various infectious agents, malignancies and rheumatologic disorders. Early diagnosis and identification of the cause is essential to initiate appropriate treatment and improve the quality of life and survival of patients. The recently developed Onco-mNGS technology can be successfully used for simultaneous detection of infections and tumors. In the present study, 92 patients with clinically confirmed HLH were etiologically subtyped for infection, tumor and autoimmunity based on CNV and microbial data generated by Onco-mNGS technology, and a predictive model was developed and validated for the differential diagnosis of the underlying disease leading to secondary HLH. Furthermore, the treatment outcomes of patients with HLH triggered by EBV infection and non-EBV infection were evaluated, respectively. The current study demonstrated that the novel Onco-mNGS can identify the infection and malignancy- related triggers among patients with secondary HLH. A random forest classification model based on CNV profile, infectious pathogen spectrum and blood microbial community was developed to better identify the different HLH subtypes and determine the underlying triggers. The prognosis for treatment of HLH patients is not only associated with CNV, but also with the presence of pathogens and non- pathogens in peripheral blood. Higher CNV burden along with frequent deletions on chromosome 19, higher pathogen burden and lower non-pathogenic microbes were prognosis factors that significantly related with unfavorable treatment outcomes. Our study provided comprehensive knowledge in the triggers and prognostic predictors of patients with secondary HLH, which may help early diagnosis and appropriate targeted therapy, thus improving the survival and prognosis of the patients.

Chromogenic Chemosensor for Simultaneous Detection of PO43¯ and CO32¯ Anions in Organo-Aqueous Solutions: Application in Arduino Based Electronic Color Sensor Device and Logic Gate.

Three new chromogenic receptors have been synthesized with the primary objective of facilitating the selective recognition of PO43¯and CO32¯ ions in an organo-aqueous medium. R1 and R2 exhibit an extraordinary detection limit aligning with both EPA and WHO guidelines. R1 shows LOD of 0.135 ppm for PO43¯ and 0.175 ppm for CO32¯, while R2 sets forth a LOD of 0.427 ppm for PO43¯ and 0.729 ppm for CO32¯. The binding mechanism involves intramolecular charge transfer (ICT) band are substantiated by comprehensive studies that include UV-Vis titration, 1H-NMR titration, DFT studies and electrochemical studies. Chemosensors were employed in the formulation of logic gate, the fabrication of a paper strip test kit and its application in RGB color sensor device.

High-Sensitivity and In Situ Multi-Component Detection of Gases Based on Multiple-Reflection-Cavity-Enhanced Raman Spectroscopy.

Raman spectroscopy with the advantages of the in situ and simultaneous detection of multi-components has been widely used in the identification and quantitative detection of gas. As a type of scattering spectroscopy, the detection sensitivity of Raman spectroscopy is relatively lower, mainly due to the low signal collection efficiency. This paper presents the design and assembly of a multi-channel cavity-enhanced Raman spectroscopy system, optimizing the structure of the sample pool to reduce the loss of the laser and increase the excitation intensity of the Raman signals. Moreover, three channels are used to collect Raman signals to increase the signal collection efficiency for improving the detection sensitivity. The results showed that the limits of detection for the CH4, H2, CO2, O2, and N2 gases were calculated to be 3.1, 34.9, 17.9, 27, and 35.2 ppm, respectively. The established calibration curves showed that the correlation coefficients were all greater than 0.999, indicating an excellent linear correlation and high level of reliability. Meanwhile, under long-time integration detection, the Raman signals of CH4, H2, and CO2 could be clearly distinguished at the concentrations of 10, 10, and 50 ppm, respectively. The results indicated that the designed Raman system possesses broad application prospects in complex field environments.

Intercalation of novel Ocimum Sanctum leaves derived carbon dots between g-C3N4/CoFe2O4 Z-scheme heterojunction system for boosting the radicals’ generation in photo-Fenton degradation and synchronized electrochemical sensing of sulfamethoxazole antibiotic

Deeming about incessant consumption and disposal of pharmaceutical antibiotics in natural water bodies, this study demonstrates the synthesis of a novel Tulsi leaves (Ocimum Sanctum) derived carbon dots modified Z-scheme g-C3N4/CoFe2O4 heterojunction system. Characterization techniques namely XRD, FT-IR, XPS, FE-SEM, HR-TEM and EDX supported composite formation. Fabricated catalysts presented excellent photocatalytic performance towards removal of sulfamethoxazole (SMX). UV–vis DRS, PL and EIS findings suggested the augmented visible light absorption capability, suppression of electron-hole pairs recombination and effective separation of charge carriers which were accountable for degradation process. Probable mechanistic pathway for SMX removal was photo-Fenton assisted with Z-scheme separated electron-hole pairs via activation of H2O2, where hydroxyl radicals (•OH) were main reactive species. Additionally, the prepared material was employed as electrochemical sensor for individual as well as simultaneous detection of SMX and trimethoprim with quite impressive detection limits of 0.042 µM and 0.047 µM, respectively.

Research on Wind Turbine Fault Detection Based on CNN-LSTM

With the wide application of wind energy as a clean energy source, to cope with the challenge of increasing maintenance difficulty brought about by the development of large-scale wind power equipment, it is crucial to monitor the operating status of wind turbines in real time and accurately identify the specific location of faults. In this study, a CNN-LSTM-based wind motor fault detection model is constructed for four types of typical faults, namely gearbox faults, electrical faults, yaw faults, and pitch faults of wind motors, combining CNN’s advantages of excelling in feature extraction and LSTM’s advantages of dealing with long-time sequence data, to achieve the simultaneous detection of multiple fault types. The accuracy of the CNN-LSTM-based wind turbine fault detection model reaches 90.06%, and optimal results are achieved for the effective discovery of yaw system faults, pitch system faults, and gearbox faults, obtaining 94.09%, 96.46%, and 97.39%, respectively. The CNN-LSTM wind turbine fault detection model proposed in this study improves the fault detection effect, avoids the further deterioration of faults, provides direction for preventive maintenance, reduces downtime loss due to restorative maintenance, and is essential for the sustainable use of wind turbines and maintenance of wind turbine service life, which helps to improve the operation and maintenance level of wind farms.

A highly effective curcumin-based fluorescent probe with single-wavelength excitation for simultaneous detection and bioimaging of Cys, Hcy and GSH

Cysteine (Cys), homocysteine (Hcy) and glutathione (GSH) act as significant roles in many physiological processes, and their abnormal proliferation will cause multiple diseases including Alzheimer’s disease, Parkinson’s disease, Cardiovascular disease, atherosclerosis, and soft tissue damage. However, It is challenging work to develop a efficient method for differentiating and detecting GSH, Cys and Hcy because of their significant similarity in structures and functions. In this work, a smart fluorescent probe FBCN based on curcumin was rationally devised and developed by etherifying the phenol hydroxyl group on FBC with NBD-Cl, which emitted strong green at 516 nm. FBCN distinguished Hcy from Cys/GSH with naked eyes based on the color variation of probe solution in sunlight. Meanwhile, GSH induced the powerful fluorescence quenching of probe solution, but the fluorescence color of FBCN solution transformed from green to luminous yellow accompanied with emission wavelength redshifted from 516 nm to 540 nm or 553 nm in the existence of Hcy and Cys, respectively. Probe FBCN had outstanding sensitivity and anti-interference, low detection limit (56.5 nM, 77.7 nM, and 288 nM corresponded to Cys, Hcy, and GSH, respectively), short response time (the response time of FBCN to Cys, Hcy and GSH was 1 min, 2 min and 5 min, respectively). The DFT calculation and HRMS had verified the sensing mechanism of FBCN to biothiols. In addition, the probe was successfully utilized to detect three biothiols levels in living cell and zebrafish.

Establishment and Application of a Triplex Real-Time Reverse-Transcription Polymerase Chain Reaction Assay for Differentiation of PEDV, TGEV and PKV.

The pathogens responsible for porcine viral diarrhea are diverse, causing significant economic losses to the pig industry. PEDV and TGEV are well-known pathogens causing diarrheal diseases in pigs, leading to significant economic losses in the breeding industry. In contrast, the newly identified diarrhea virus, PKV, has not garnered as much attention. However, co-infection of PKV with PEDV results in more severe symptoms in piglets, such as acute gastroenteritis, and promotes increased replication of PEDV. Rapid and accurate diagnosis of viral diarrhea is essential for farms to identify pathogens early and mitigate economic losses. This study describes the development of a triplex real-time fluorescent quantitative RT-qPCR technique that can simultaneously detect three RNA viruses associated with porcine viral diarrhea: PEDV, TGEV, and PKV. To establish the triplex RT-qPCR method for the simultaneous detection and identification of the above three diarrhea viruses, conserved regions of the M gene of TGEV, the N gene of PEDV, and the 3D gene of PKV were selected to design specific primers and probes. After optimizing the reaction conditions, the method's specificity, sensitivity, and reproducibility were evaluated. The triplex RT-qPCR method did not show a significant difference in PCR efficiency compared to the single RT-qPCR method. The method is specific to TGEV, PKV, and PEDV, exhibits no cross-reactivity with other pathogens, and demonstrates satisfactory sensitivity and reproducibility; the limit of detection (LOD) of PEDV, TGEV, and PKV is 11.42 copies/μL. Furthermore, the performance of the triplex RT-qPCR assay was compared with the Chinese standard single-assay method for detecting TGEV, PKV, and PEDV, showing complete consistency between the two methods (100% compliant). Subsequently, 1502 clinical diarrhea samples were collected from the Guangxi Zhuang Autonomous Region to investigate the local prevalence of TGEV, PKV, and PEDV and the positive rates were 16.38% (246/1502), 1.46% (22/1502), and 45.14% (678/1502), respectively. Co-infection of PEDV and PKV were most common, with a rate of 12.12% (182/1502). This study presents a valuable method for the rapid and simultaneous identification of PEDV, TGEV, and PKV in clinical animal farming practices, and provides a reassessment of the epidemiology of these diarrhea-causing viral pathogens in the Guangxi Zhuang Autonomous Region.

Simulated High Throughput Sequencing Datasets: A Crucial Tool for Validating Bioinformatic Pathogen Detection Pipelines.

The validation of diagnostic assays in plant pathogen detection is a critical area of research. It requires the use of both negative and positive controls containing a known quantity of the target pathogen, which are crucial elements when calculating analytical sensitivity and specificity, among other diagnostic performance metrics. High Throughput Sequencing (HTS) is a method that allows the simultaneous detection of a theoretically unlimited number of plant pathogens. However, accurately identifying the pathogen from HTS data is directly related to the bioinformatic pipeline utilized and its effectiveness at correctly assigning reads to their associated taxa. To this day, there is no consensus about the pipeline that should be used to detect the pathogens in HTS data, and results often undergo review and scientific evaluation. It is, therefore, imperative to establish HTS resources tailored for evaluating the performance of bioinformatic pipelines utilized in plant pathogen detection. Standardized artificial HTS datasets can be used as a benchmark by allowing users to test their pipelines for various pathogen infection scenarios, some of the most prevalent being multiple infections, low titer pathogens, mutations, and new strains, among others. Having these artificial HTS datasets in the hands of HTS diagnostic assay validators can help resolve challenges encountered when implementing bioinformatics pipelines for routine pathogen detection. Offering these purely artificial HTS datasets as benchmarking tools will significantly advance research on plant pathogen detection using HTS and enable a more robust and standardized evaluation of the bioinformatic methods, thereby enhancing the field of plant pathogen detection.

Multimodal optical detection, identification and reduction of Cr(VI) with carbon dots and its PVA/polyNIPAM spheres based 2D luminescent photonic structures

Multiple emissive carbon dots (CDs) were synthesized through a one-step solvothermal acid-assisted method using citric acid and urea. Three main emission bands were observed at ∼431 nm, ∼501 nm, and ∼622 nm, corresponding to excitation wavelengths of 360 nm, 430 nm, and 550 nm, respectively. Simultaneous detection through salient discernible features of three metal ions has been achieved. Emission of CDs with Fe(III) shows reduction in intensity at 360 nm and 550 nm wavelengths and an enhancement of photoluminescence (PL) intensity at an excitation wavelength of 430 nm. Al(III) revealed turn-on PL signals, along with a redshift when excited at 360 and 430 nm, and turn-off intensity at excitation of 550 nm. Under all the excitation wavelengths, Cr(VI) exhibits PL quenching accompanied with an additional red shift. This sensor enhances the accuracy and reliability of the probe through multiple distinctive and characteristic responses for all the three ions for which the probes were selective. Apart from the optical detection at a certain wavelength, the Cr(VI) reduction to the less toxic Cr(III) through as-prepared CDs could be monitored at three different excitation wavelengths. The Fe(III) and Cr(VI) detection in solid state has also been demonstrated through 2D luminescent photonic structures formed with CDs-PVA (poly-vinyl alcohol)-polyNIPAM (poly (N-isopropylacrylamide)) composites that can possibly be used for anticounterfeiting applications.

Enhancing Colorimetric Detection of Nucleic Acids on Nitrocellulose Membranes: Cutting-Edge Applications in Diagnostics and Forensics.

This study re-introduces a protein-free rapid test method for nucleic acids on paper based lateral flow assays utilizing special multichannel nitrocellulose membranes and DNA-Gold conjugates, achieving significantly enhanced sensitivity, easier protocols, reduced time of detection, reduced costs of production and advanced multiplexing possibilities. A protein-free nucleic acid-based lateral flow assay (NALFA) with a limit of detection of 1 pmol of DNA is shown for the first time. The total production duration of such an assay was successfully reduced from the currently known several days to just a few hours. The simplification and acceleration of the protocol make the method more accessible and practical for various applications. The developed method supports multiplexing, enabling the simultaneous detection of up to six DNA targets. This multiplexing capability is a significant improvement over traditional line tests and offers more comprehensive diagnostic potential in a single assay. The approach significantly reduces the run time compared to traditional line tests, which enhances the efficiency of diagnostic procedures. The protein-free aspect of this assay minimizes the prevalent complications of cross-reactivity in immunoassays especially in cases of multiplexing. It is also demonstrated that the NALFA developed in this study is amplification-free and hence does not rely on specialized technicians, nor does it involve labour-intensive steps like DNA extraction and PCR processes. Overall, this study presents a robust, efficient, and highly sensitive platform for DNA or RNA detection, addressing several limitations of current methods documented in the literature. The advancements in sensitivity, cost reduction, production time, and multiplexing capabilities mark a substantial improvement, holding great potential for various applications in diagnostics, forensics, and molecular biology.

A Simple and Sensitive Wearable SERS Sensor Utilizing Plasmonic-Active Gold Nanostars.

Wearable sweat sensors hold great potential for offering detailed health insights by monitoring various biomarkers present in sweat, such as glucose, lactate, uric acid, and urea, in real time. However, most previously reported sensors, primarily based on electrochemical technology, are limited to monitoring only a single analyte at a given time. This study introduces a simple, sensitive, wearable patch based on surface-enhanced Raman spectroscopy (SERS), integrated with highly plasmonically active sharp-branched gold nanostars (GNS) for the simultaneous detection of three sweat biomarkers: lactate, urea, and glucose. We have fabricated the GNS on commercially available adhesive tape, resulting in achieving a low-cost, flexible, and adhesive wearable SERS patch. The limits of detection for lactate, urea, and glucose were achieved at 0.7, 0.6, and 0.7 μM, respectively, which are significantly lower than the clinically relevant concentrations of these biomarkers in sweat. We further evaluated the performance of our wearable SERS patch during outdoor activities, including sitting, walking, and running. To evaluate its overall effectiveness, we simultaneously measured the concentrations of lactate, urea, and glucose during these activities. Overall, our simple, sensitive wearable SERS sensor represents a significant breakthrough by enabling the simultaneous detection of lactate, urea, and glucose present in sweat, marking a major step toward future applications in autonomous and noninvasive personalized healthcare monitoring at home.

A coumarin-hemicyanine fluorescent probe for simultaneous detection and discrimination of biothiols, HSO3− and S2-

Biomercaptan, bisulfite (HSO3−) and hydrogen sulfide (H2S) are involved in many physiological and pathological processes in the human body. Therefore, it is of great significance to develop a fluorescent probe that can simultaneously detect and distinguish biological mercaptans from HSO3− and S2−. The probe CDI-1 was synthesized by combining coumarin with hemicyanine. The maximum absorption wavelength of the probe is at 609 nm. After adding Cys/Hcy and GSH, the probe shows varying degrees of blue shift, which can be used to distinguish Cys/Hcy and GSH. After it reacts with Cys/Hcy, the fluorescence intensity of the solution increases about twice, while it increases three times after it reacts with GSH. This phenomenon can also be used to distinguish Cys/Hcy from GSH. The probe CDI-1 can react with Cys completely within 30 min, with Hcy or GSH completely within 80 min, and with HSO3− and S2− quickly within 20 min. The study on the effect of pH on the fluorescence performance of CDI-1 shows that the probe is suitable for detecting biological mercaptan or HSO3−, S2− in weak acid to weak alkali environments. The selectivity study showed that the probe CDI-1 had high specificity for biological mercaptan, HSO3− and S2−. This provides a new and simple method for simultaneous detection of biological mercaptan, HSO3− and S2− ions.

Mineral classification with X-ray absorption spectroscopy: A deep learning-based approach

The current suite of algorithms used in intelligent mineral sorting equipment is largely generic, lacking the necessary adaptability and the capability for simultaneous non-destructive structural detection and quantitative analysis. To address this, we have developed two specialized algorithms based on X-ray absorption spectroscopy: the Trans-LSTM algorithm based on Transformer and Long Short-Term Memory(LSTM), utilizing knowledge distillation for rough mineral sorting, and the RNN-overhead-xgboost algorithm based on Recurrent Neural Network(RNN) for fine mineral sorting. We collected 3000 X-ray absorption spectra from 15 types of minerals with similar appearances or compositions. We compared the performance of these proposed algorithms with three other general-purpose algorithms for mineral spectral classification. Our study specifically examined the impact of Trans-LSTM on rough mineral sorting and the effect of RNN-overhead-xgboost on fine mineral sorting. In the rough sorting stage, the Trans-LSTM model demonstrated a prediction time of just 0.0171 s per sample, maintaining a classification accuracy of 93.49%, thereby ensuring high precision with high efficiency. During the fine sorting stage, the RNN-overhead-xgboost algorithm significantly improved sorting accuracy to 99.21%, highlighting its effectiveness in achieving precise sorting. These findings underscore the potential of the Trans-LSTM and RNN-overhead-xgboost algorithms to enhance the adaptability and accuracy of intelligent mineral sorting systems, meeting the specific demands of different stages in mineral production.

Simultaneous electro-chemical detection of Pb and Fe by copper-modified carbon paste electrode in the portion of soil

A carbon graphite and copper powder paste electrode (CPE-Cu) was successfully designed as a working electrode for electrochemical analysis. The structural characteristics of this electrode were revealed by X-ray diffraction. Voltammetric techniques and electrochemical impedance spectroscopy were used to assess the electroactivity of the proposed working electrode. X-ray diffraction showed that the composite material has a slightly different crystalline structure to pure graphite, since the copper modification influenced the angles of reflection so that they fluctuated towards slightly larger values. The study of the electrochemical behaviour of the CPE-Cu electrode using cyclic voltammetry showed that the redox phenomena at the electrode surface are almost reversible. Analysis of the soil portion using cyclic voltammetry showed that lead (II) and iron (II) showed current peaks at potentials −0.36 V and +0.12 V respectively. These potentials were confirmed by square-wave voltametry. Cyclic voltammetry and square wave voltammetry showed linearity between the portion of soil in the soil and the electrochemical response. In addition, the study of the effect of the scanning speed showed that the reactions at the working electrode are controlled by a diffusion phenomenon at the surface of the working electrode. Electrochemical impedance spectroscopy showed that the electrode material had a low resistance to charge transfer, with a complete analysis of around 80 ohm.cm2. The heavy metals Cd2+, Pb2+ and Fe2+ were detected simultaneously at trace levels. Calculations of the detection limits for Pb2+ and Fe2+ gave 0.709 ppm and 0.821 ppm respectively. At the end of this work, it can be said that the proposed sensor can be used as an instrument for monitoring the metals studied, as the detection limits were relatively low despite the complexity of the detection medium (portion of soil).

Cascaded dual-parameter SPR fiber sensor for RI and pH simultaneous detection based on Ag film and an Ag/self-assembled nanofilm structure

To achieve more accurate analysis and detection of changes in liquid parameters, we propose a dual-parameter surface plasmon resonance (SPR) sensor that can measure refractive index (RI) and pH simultaneously. In this paper, we compare and analyze the transmission spectrum when the SPR effect is excited by the cladding mode of a photonic crystal fiber (PCF) and the core mode of the no-core fiber. The results show that the SPR effect excited using the cladding mode is stronger and the sensor has better loss peaks, which is more conducive to realizing the detection of the external environment. Therefore, the sensor uses PCF as the substrate and utilizes a cascade composite film structure, and the area where a silver film is deposited on the surface of the PCF is selected as the RI sensing area. Another part of the PCF, after the silver film is deposited, uses a high-sensitivity polyacrylic acid/chitosan self-assembled nanofilm as the pH-sensitive film. Experimental results show that the maximum sensitivity is 4122.44 nm/RIU and -57.82 nm/pH when the RI range is between 1.333 and 1.385 and the pH range is between 3.11 and 8.63, respectively. In addition, we experimentally verified that the sensor had good stability and repeatability. The design of the sensor provides new possibilities for real-time monitoring and precise control, helping to advance scientific research and the development of industry.

Simultaneous Detection of Collagen I Alpha II and Cytokeratin 19 mRNA by Multiplex qPCR in Liquid Biopsy in Diagnosis of Patients with Resectable Solid Tumors.

The early detection of tumors is one of the key factors in increasing overall survival in cancer patients. A wide range of cancers still do not have a system of early diagnosis; therefore, the development of new non-invasive tools in this line is essential. Accordingly, the objective of our work was to develop a non-invasive screening method for the early detection of various carcinomas in plasma using a panel that combines two markers using RT-qPCR. A retrospective case-control study was conducted to develop a cancer screening test based on the detection of stromal and epithelial biomarkers (COL1A2 and KRT19) in plasma. The expression of biomarkers was evaluated using multiplex quantitative PCR applied to 47 cases with non-metastatic tumors and 13 control participants. For both biomarkers, a cut-off value was stablished using Youden's J index through ROC curve analysis and areas under the curve (AUC) were calculated. The plasma mRNA expression level of both biomarkers was significantly higher in diseased versus healthy patients. Moreover, ROC curve analysis showed an AUC value of 0.897 for the combined model. This model also resulted in a cutoff value of 0.664, as well as a sensitivity of 83% and a specificity of 84.6%. These results suggest that the plasma expression levels of COL1A2 and KRT19 could a have potential role in detecting various types of cancer at the early stages. The combined analysis of both stromal and epithelial biomarkers would provide a non-invasive screening method that would allow us to differentiate patients with an active neoplastic process.

Chinese Medical Association guideline for clinical diagnosis and treatment of lung cancer (2024 edition)

To further standardize lung cancer prevention and treatment measures in China, enhance the quality of diagnosis and treatment, improve patient prognosis, and provide evidence-based medical guidance for clinicians at all levels, the Chinese Medical Association convened experts from respiratory medicine, oncology, thoracic surgery, radiotherapy, imaging, and pathology to develop the Chinese Medical Association guideline for clinical diagnosis and treatment of lung cancer (2024 edition). This consensus resulted in several updates from the 2023 edition. The 2024 guidelines highlight that the risk of lung cancer in smokers remains higher than that of non-smokers even 15 years after quitting. Additionally, a new lung cancer incidence risk model is expected to become a critical tool for screening high-risk groups. In pathology, the guidelines now include pathological evaluation of surgically resected lung cancer specimens following neoadjuvant therapy and suggest that immunohistochemical staining of certain transcription factors may aid in the classification of small cell lung cancer (SCLC). In molecular detection, the guidelines propose simultaneous detection of driver gene variations based on both RNA and DNA from specimens. The new edition also provides detailed descriptions of patient selection and surgical requirements for thoracic sub-lobectomy, aligned with the 9th TNM staging. Moreover, the guidelines expand treatment options, approving more therapies for immunoadjuvant and EGFR-TKI resistant lung cancer patients, as well as additional drug options for advanced non-small cell lung cancer (NSCLC) patients with EGFR mutations, EGFR 20 insertions, ALK fusions, and MET exon 14 skipping. These recommendations are based on state-approved drug applications, international guidelines, and current clinical practices in China, integrating the latest evidence-based medical research in screening, diagnosis, pathology, genetic testing, immune molecular marker detection, treatment methods, and follow-up care. The goal is to provide comprehensive and reasonable recommendations for clinicians, imaging specialists, laboratory technicians, rehabilitation professionals, and other medical staff at all levels.

Redox-active sp2-c connected metal covalent organic frameworks for selective detection and reductive separation of uranium

It is economically desirable to develop a material that can simultaneously detect and recover uranium. Herein, a CC-bridged two-dimensional metal-covalent organic framework (Cu-BTAN-AO MCOF) was constructed by condensation of metal single crystals with a rigid structure (Cu3(PyCA)3) and cyano monomers (BTAN) via Knoevenagel reaction for simultaneous detection and adsorption of uranium. The amidoxime group within the pore and the presence of unsaturated Cu(I) in the framework facilitate the adsorption of uranyl ions onto the amidoxime group, leading to fluorescence quenching via the photoinduced electron transfer (PET) mechanism, achieving a detection limit of as low as 167 nM uranyl ions. Furthermore, Cu-BTAN-AO demonstrates exceptional efficiency in capturing uranium from wastewater characterized by rapid kinetics and superior selectivity. It is noteworthy that Cu-BTAN-AO is the first example of simultaneous detection, adsorption and chemical reduction of uranium using metal centers and functional groups in MCOF, indicating that Cu-BTAN-AO has great potential for the detection and recovery of uranium-containing wastewater. This design strategy may also be applicable to advancing sensing and energy materials for other important metal ions.

Cascaded Dual-Tapered Optical Microfiber Sensors for Simultaneous Detection of Refractive Indices in Multiple Solutions

ABSTRACT A cascaded single-mode tapered fiber (SMTF) has been investigated for simultaneous detection of two refractive indices (RI). Two SMTFs with distinct-free spectral range (FSR) of 3.88 nm and 23.23 nm were concatenated to realize the cascaded SMTF. The interaction between evanescent waves generated by the cascaded SMTF and variations in the surrounding environment results in measurable wavelength shifts. When tested with different concentrations of sodium chloride to simulate RI variations, wavelength shifts were yielded with FSR corresponding to the stimulated SMTF. This work validates the feasibility of using cascaded SMTFs for simultaneous dual RI detection in real-world applications.

3D Film-Like Nanozyme with a Synergistic Amplification Effect for the Ultrasensitive Immunochromatographic Detection of Respiratory Viruses.

Greatly improving the sensitivity and detection range of lateral flow immunoassays (LFAs) by at least 100 times without using additional instruments remains challenging. Herein, we develop a three-dimensional (3D) film-like nanozyme (GO-Pt30-AuPt5) by ordered assembly of one layer of 30 nm Pt nanoparticles (NPs) and one layer of small Au@Pt satellites (5 nm) onto a two-dimensional (2D) graphene oxide (GO) nanofilm, in which GO greatly increased the interface area and stability of the nanozyme whereas Pt and Au@Pt NPs synergistically enhanced colorimetric/catalytic activities. The grafting of outer Au@Pt satellites converted the 2D nanofilm into a 3D flexible nanozyme with numerous catalytic sites for enzymatic deposition signal amplification and binding sites for target capture. The introduction of GO-Pt30-AuPt5 into multiplex LFA achieved the ultrasensitive and simultaneous detection of two important respiratory viruses with sensitivity of 1 pg/mL level, which was about 100 times higher than that without signal enrichment and at least 20 and 1900 times higher than those of traditional enzyme-linked immunosorbent assay and AuNP-based LFA, respectively. The clinical utility of the proposed assay was validated through the diagnosis of 49 real clinical respiratory tract specimens. Our proposed LFA shows great potential for the ultrasensitive screening of pathogens in the field.