NbCT/MoSe composites for a highly sensitive NH gas sensor at room temperature.

The detection of ammonia (NH)gas holds significant importance in both daily life and industrial production. In this study, the NbCT/MoSe sensor was synthesized using a one-step hydrothermal method and applied for NH detection. The morphology and elemental composition of the composites were analyzed through a series of characterization techniques including XRD, TEM, SEM, and XPS, confirming the successful synthesis of NbCT/MoSe composite with the optimal mass ratio.

Whole slide image based prognosis prediction in rectal cancer using unsupervised artificial intelligence.

Background: Rectal cancer is a common cancer worldwide and lacks effective prognostic markers. The development of prognostic markers by computational pathology methods has attracted increasing attention. This paper aims to construct a prognostic signature from whole slide images for predicting progression-free survival (PFS) of rectal cancer through an unsupervised artificial intelligence algorithm.

A two-color fluorescence sensing strategy based on functionalized tetrahedral DNAzyme nanotweezers for ochratoxin A detection.

A two-color fluorescent sensing strategy based on a functionalized tetrahedral DNAzyme nanotweezer (FTDN) was developed to detect ochratoxin A (OTA) utilizing the multifunctional properties of DNA nanotechnology. The FTDN enables rapid OTA detection directly through a Cy5 fluorescent group, modified to respond to the target signal. Additionally, FTDN exhibits DNAzyme cutting activity in the presence of Mg ions, enabling it to traverse DNA nanoflower-functionalized magnetic beads.

Development of a colorimetric/fluorescence dual-mode immunoassay for aflatoxin B1 based on streptavidin-induced gold nanoparticle aggregation.

A dual-mode immunoassay method was developed for colorimetric and fluorescence detection of aflatoxin B1 (AFB1) based on streptavidin-induced gold nanoparticle aggregation (AuNP@SA). AuNP-modified streptavidin-biotin labeling AFB1 complete antigen aggregations (AuNP@SA@Bio-BSA-AFB1) were synthesized as the competitive binding and dual-mode probe. AuNP@SA@Bio-BSA-AFB1 aggregations possessed high colorimetric and fluorescence quenching intensities.

High-performance ammonia sensor at room temperature based on 2D conductive MOF Cu(HITP).

Sensitive detection of ammonia in the environment is crucial due to its potential danger to human ecology and health. In gas detection technology, resistive sensors utilizing golden cross finger electrodes combined with gas-sensitive materials are commonly employed. In this study, we demonstrated a room-temperature sensor for ambient ammonia detection.

Ultra-sensitive detection of norovirus using a three-in-one CRISPR platform based on a DNA hydrogel and composite functional nanomaterials.

The ultrasensitive sensor with three optical response mechanisms was proposed for the determination of trace amounts of norovirus using a 3-in-1 GCSNAs (a gap-containing spherical nucleic acid nanoparticles) probe. A simple and highly sensitive three-mode biosensor with Raman, colorimetric, and fluorescence functions was proposed and implemented using the GCSNAs probe and a DNA hydrogel for norovirus detection. When the virus exists, the trans-cleavage activity of CRISPR-Cas12a was activated by double-stranded dsDNA (dsDNA) generated by reverse transcription and recombinase polymerase isothermal amplification (RT-RPA) to degrade the DNA hydrogel/GCSNA composition and release the three-in-one (3-in-1) probe-GCSNA, realising the triple ultrasensitive detection of norovirus.

The normalization trend of ventricular morphology after lateral ventricular tumor resection without additional diversion.

Intraventricular tumors frequently provoke alterations in ventricular morphology. This study aims to quantificational assess perioperative dynamic fluctuations in the cerebrospinal fluid (CSF) volume within the lateral ventricles of patients harboring lateral ventricular tumors. A retrospective review encompassing 90 patients who underwent surgical intervention for lateral ventricular tumors at our institution was undertaken.

CRISPR-Cas14a and allosteric transcription factors empowered cell-free electrochemical biosensor for highly sensitive and stable detection of progesterone in multiple scenarios.

In this study, a cell-free electrochemical assay based on allosteric transcription factors (aTFs) and CRISPR-Cas14a was developed for the detection of progesterone in trace samples. This electrochemical biosensor helps to overcome the drawbacks of the traditional fluorescence assay based on the CRISPR-Cas system and aTFs combined for non-nucleic acid targets that is poorly effective for the detection of colored samples. By comparing and optimizing the concentration and length of the probes in the straight chain and hairpin structure, the sensor performance was improved.

Propylparaben Induces Reproductive Toxicity in Human Extravillous Trophoblast Cells via Apoptosis and Cell Cycle Pathways.

Parabens (PBs), especially propylparaben, commonly used in consumer products, pose environmental and health concerns. This study explored propylparaben's cytotoxicity on HTR-8/SVneo human trophoblast cells, revealing significant dose-dependent cytotoxic effects, particularly post 48-h exposure. Elevated propylparaben levels triggered apoptosis, evidenced by increased Bax and activated Caspase-3, and induced the G0/G1 cell cycle arrest.

Graphene-Based Virus Enrichment Protocol Increases the Detection Sensitivity of Human Norovirus in Strawberry and Oyster Samples.

Human noroviruses (HuNoVs), the most prevalent viral contaminant in food, account for a substantial proportion of nonbacterial gastroenteritis cases. Extensive work has been focused on the diagnosis of HuNoVs in clinical samples, whereas the availability of sensitive detection methods for their detection in food is lacking. Here, we developed a virus enrichment approach utilizing graphene-based nanocomposites (CTAB-rGO-FeO) that does not rely on large instruments and is suitable for on-site food pretreatment.

Common and differential EEG microstate of major depressive disorder patients with and without response to rTMS treatment.

Objective: Repetitive transcranial magnetic stimulation (rTMS) has recently emerged as a novel treatment option for patients with major depressive disorder (MDD), but clinical observations reveal variability in patient's responses to rTMS. Therefore, it is clinically significant to investigate the baseline neuroimaging differences between patients with (Responder) and without (NonResponder) response to rTMS treatment and predict rTMS treatment outcomes based on baseline neuroimaging data.

Method: Baseline resting-state EEG data and Beck Depression Inventory (BDI) were collected from 74 rTMS Responder, 43 NonResponder, and 47 matched healthy controls (HC).

Investigating cortical complexity and connectivity in rats with schizophrenia.

Background: The above studies indicate that the SCZ animal model has abnormal gamma oscillations and abnormal functional coupling ability of brain regions at the cortical level. However, few researchers have focused on the correlation between brain complexity and connectivity at the cortical level. In order to provide a more accurate representation of brain activity, we studied the complexity of electrocorticogram (ECoG) signals and the information interaction between brain regions in schizophrenic rats, and explored the correlation between brain complexity and connectivity.

CRISPR/Cas13a analysis based on NASBA amplification for norovirus detection.

Human norovirus (HuNoV) is a leading cause of foodborne diseases worldwide, making rapid and accurate detection crucial for prevention and control. In recent years, the CRISPR/Cas13a system, known for its single-base resolution in RNA recognition and unique collateral cleavage activity, is particularly suitable for sensitive and rapid RNA detection. However, isothermal amplification-based CRISPR/Cas13 assays often require an external transcription step, complicating the detection process.

Insights into preeclampsia: a bioinformatics approach to deciphering genetic and immune contributions.

Background: Preeclampsia (PE) is a global pregnancy concern, characterized by hypertension with an unclear etiology. This study employs Mendelian randomization (MR) and single-cell RNA sequencing (scRNA-seq) to clarify its genetic and molecular roots, offering insights into diagnosis and treatment avenues.

Methods: We integrated PE-specific genome-wide association study (GWAS) data, expression and protein quantitative trait loci (eQTL and pQTL) data, and single-cell data from peripheral blood mononuclear cells (PBMCs).

Visual Feedback Gain Modulates the Activation of Task-Related Networks and the Suppression of Non-Task Networks During Precise Grasping.

Visual feedback gain is a crucial factor influencing the performance of precision grasping tasks, involving multiple brain regions of the visual motor system during task execution. However, the dynamic changes in brain network during this process remain unclear. The aim of this study is to investigate the impact of changes in visual feedback gain during precision grasping on brain network dynamics.

CLICK-FLISA Based on Metal-Organic Frameworks for Simultaneous Detection of Fumonisin B1 (FB1) and Zearalenone (ZEN) in Maize.

Mycotoxins are secondary products produced primarily by fungi and are pathogens of animals and cereals, not only affecting agriculture and the food industry but also causing great economic losses. The development of rapid and sensitive methods for the detection of mycotoxins in food is of great significance for livelihood issues. This study employed an amino-functionalized zirconium luminescent metal-organic framework (LOF) (i.

A colorimetric/electrochemical microfluidic biosensor using target-triggered DNA hydrogels for organophosphorus detection.

Organophosphorus compounds are widely distributed and highly toxic to the environment and living organisms. The current detection of organophosphorus compounds is based on a single-mode method, which makes it challenging to achieve good portability, accuracy, and sensitivity simultaneously. This study designed a multifunctional microfluidic chip to develop a dual-mode biosensor employing a DNA hydrogel as a carrier and aptamers as recognition probes for the colorimetric/electrochemical detection of malathion, an organophosphorus compound.

Transient paper-based electrochemical biosensor Fabricated by superadditive Cu-TCPP(Fe)/Mxene for Multipathway non-invasive, highly sensitive detection of Bodily metabolites.

Current advances in non-invasive fluid diagnostics highlight unique benefits for monitoring metabolic diseases. However, the low concentrations and complex compositions of biomarkers in fluids such as sweat, urine, and saliva impose stringent demands on the sensitivity and stability of detection technologies. Here, we developed a high-sensitivity, low-cost instantaneous electrochemical sensor based on the superadditive effect mechanism of Cu-TCPP(Fe)/Mxene (MMs Paper-ECL Sensor), which has been successfully applied for the simultaneous real-time detection of glucose and uric acid.

Micro-/nanostructures for surface-enhanced Raman spectroscopy: Recent advances and perspectives.

Surface-enhanced Raman spectroscopy (SERS) has great potential for the analysis of molecules adsorbed on metals with rough surfaces or substrates with micro-/nanostructures. Plasmonic coupling between metal nanoparticles and the morphology of the rough metal surface can produce "hot spots" that enhance Raman scattering by adsorbed molecules, typically at micro- to nanomolar concentrations, although high enhancement factors can also facilitate single-molecule detection. This phenomenon is widely applicable for chemical analysis and sensing in various fields.

Synthetic biology for the food industry: advances and challenges.

As global environmental pollution increases, climate change worsens, and population growth continues, the challenges of securing a safe, nutritious, and sustainable food supply have become enormous. This has led to new requirements for future food supply methods and functions. The use of synthetic biology technology to create cell factories suitable for food industry production and renewable raw material conversion into: important food components, functional food additives, and nutritional chemicals, represents an important method of solving the problems faced by the food industry.