Dual amplification DNA reactions for ultrasensitive electrochemical biomolecular detection using impedimetric biosensor.

Detecting biomolecules, particularly disease markers, is an important issue for practical diagnosis and clinical therapies. Herein, we proposed an all-DNA hydrogel-based electrochemical impedance sensing platform for ultrasensitive detection of miRNA-21 by synergistic integration of dual amplification circuits: catalytic hairpin assembly (CHA) and clamped hybridization chain reaction (C-HCR). A hairpin DNA complementary to miRNA-21 was designed to initiate CHA, resulting in the self-assembly of dsDNA products upon target addition.

Enhanced visible-light photocatalytic degradation of antibiotics using aminoguanidine-functionalized iron-based metal-organic frameworks.

The degradation of antibiotics in wastewater has gained significant attention due to the detection of high concentrations of these contaminants in water systems. Moreover, the complex composition of water matrices, which contain various coexisting components, poses significant challenges to their effective removal. To address this, in the present study, we investigated the selective photocatalytic degradation of antibiotics using metal-organic frameworks (MOFs).

Identification of a novel prognostic marker ADGRG6 in pancreatic adenocarcinoma: multi-omics analysis and experimental validation.

Background: Pancreatic adenocarcinoma (PAAD) ranks among the most lethal malignancies worldwide. Current treatment options have limited efficacy, underscoring the need for new therapeutic targets.

Methods: This study employed a multi-omics analytical framework to delve into the expression profiles and prognostic implications of ADGRG6 within the pan-cancer dataset of The Cancer Genome Atlas (TCGA) database, highlighting the prognostic value and potential carcinogenic role of ADGRG6 in PAAD, which was further validated using data from multiple PAAD cohorts in the Gene Expression Omnibus (GEO) database.

Highly sensitive detection of the tetracycline resistance gene tetA in water supply systems with an autocatalytic deoxyribonucleic acid-based cascade circuit.

Antibiotic resistance genes (ARGs)-contamination in water systems is a global concern, accelerating antimicrobial resistance and threatening public health, which demands an effective, low-cost and stable method for their on-site detection. Herein, we developed an innovative approach by combining the hybridization chain reaction (HCR) with deoxyribozymes to design an isothermal enzyme-free cascade initiator regenerating (IR) HCR-based amplification system. Minute quantities of targets can trigger exponentially amplified fluorescence signals through the self-catalytic feedback loop of the HCR mechanism.

Recent Progress on Phase Separation of DNA-Based System.

Precise spatiotemporal regulation of intracellular processes has been shown to occur through phase separation. The resulting droplets and coacervates mediate critical biological functions. Although hundreds of publications on this topic are generated every year, a systematic exposition on DNA phase separation is still lacking.

A Semi-Supervised Domain Adaptation Method for Sim2Real Object Detection in Autonomous Mining Trucks.

In open-pit mining, autonomous trucks are essential for enhancing both safety and productivity. Object detection technology is critical to their smooth and secure operation, but training these models requires large amounts of high-quality annotated data representing various conditions. It is expensive and time-consuming to collect these data during open-pit mining due to the harsh environmental conditions.

Moral Judgment Among Chinese Urban and Rural Students: Exploring the Conflict Between the Personal and Moral Domains.

The U-shaped development pattern in social cognitive domain theory can explain adolescents' "moral retrogression" in a certain period. This study employs quantitative methods to investigate moral judgments made by Chinese urban and rural junior high school students in situations involving conflicts between the personal and moral domains, thereby cross-culturally validating the proposed U-shaped pattern. The results show that this pattern exhibits some degree of cross-cultural applicability.

DNA-Enabled Self-Resetting Electrochemical Sensor for microRNA Detection.

Nucleic acids, such as microRNA and circulating tumor DNA, are widely utilized potential biomarkers for early disease diagnosis. Electrochemical sensors with high sensitivity play a significant role in quantitative bioanalysis, however, target molecules during detection usually bind to probes and limit their reusability. Powered by DNA/RNA fuel and enzyme-based fuel consumption unit, dissipative DNA systems can perform periodic tasks in a self-resettable manner.

On-Origami Molecular Crowding Control of G-Quadruplex DNAzymes.

The proper crowding of biomacromolecules in cytoplasm and on cell surfaces plays a critical role in cell morphology and metabolism regulations. It is also important to optimize the crowding of target molecules at optimal density on artificial interfaces to perform the best activities, which remains a challenge. Here, DNA origami is employed as a precise template to regulate the placing density and crowding of a model DNAzyme, the G-quadruplex (G4)-hemin complex, achieving high catalytic efficiency at moderate crowding.

High-Performance Bi-Based Catalysts for CO₂ Reduction: In Situ Formation of Bi/Bi₂O₂CO₃ and Enhanced Formate Production.

The unavoidable self-reduction of Bismuth (Bi)-based catalysts to zero-valence Bi often results in detrimental adsorption of OCHO, leading to unsatisfactory selectivity of HCOOH in the electroreduction of carbon dioxide (CO). A novel Bi-tannin (Bi-TA) complex is developed, which undergoes in situ reconstruction into a Bi/Bi₂O₂CO₃ phase during CO reduction. This reconstructed catalyst exhibits high activity and selectivity, achieving a Faradaic Efficiency (FE) for formate production exceeding 90%, peaking at 96%.

Scale-Consistent and Temporally Ensembled Unsupervised Domain Adaptation for Object Detection.

Unsupervised Domain Adaptation for Object Detection (UDA-OD) aims to adapt a model trained on a labeled source domain to an unlabeled target domain, addressing challenges posed by domain shifts. However, existing methods often face significant challenges, particularly in detecting small objects and over-relying on classification confidence for pseudo-label selection, which often leads to inaccurate bounding box localization. To address these issues, we propose a novel UDA-OD framework that leverages scale consistency (SC) and Temporal Ensemble Pseudo-Label Selection (TEPLS) to enhance cross-domain robustness and detection performance.

pH-responsive antibacterial emulsion gel based on cinnamaldehyde and carboxymethyl chitosan for fruits preservation applications.

Although the natural antibacterial agent, cinnamaldehyde, has been extensively studied in the field of food packaging, its water solubility and instability limit its further applications. The controllable responsive release can be achieved through encapsulation in responsive emulsion systems based on carboxymethyl chitosan. Herein, a pH-responsive antibacterial emulsion gel was constructed from cinnamaldehyde-loaded oil-in-water emulsion templates.

Experimental and Theoretical Investigation of the Catalytic Activities of Different Zeolites for the Nitration of Toluene.

Zeolites are used in the field of toluene nitrification reactions, but their intrinsic mechanism is not well explained. In this work, three typical zeolites including HZSM-5, HY, and Hβ are selected as catalysts and used for the nitration of toluene and typical monosubstituted benzenes with NO, and it explores the intrinsic influences on the nitrification of toluene on various zeolites through experimental and theoretical methods. The acidic properties and pore structures of three different zeolites were investigated through appropriate characterization techniques.

Coal and Gangue Detection Networks with Compact and High-Performance Design.

The efficient separation of coal and gangue remains a critical challenge in modern coal mining, directly impacting energy efficiency, environmental protection, and sustainable development. Current machine vision-based sorting methods face significant challenges in dense scenes, where label rewriting problems severely affect model performance, particularly when coal and gangue are closely distributed in conveyor belt images. This paper introduces CGDet (Coal and Gangue Detection), a novel compact convolutional neural network that addresses these challenges through two key innovations.

Development and Evaluation of Insulation Materials for Deepwater Cementing.

Marine oil and gas resources are abundant in deepwater regions, where the shallow seabed harbors natural gas hydrate layers due to the cold temperature and high-pressure environment. Hydrates are prone to thermal decomposition, which can compromise the integrity of cement sealing and even lead to accidents like blowouts. While current low-hydrated heat cement systems mitigate hydrate decomposition from cement hydration heat during the waiting period for cementing, they do not address heat transfer from deep strata to shallow hydrate layers through fluid circulation in the tubing during deep oil and gas development.

Subtraction-based DNA Origami Cryptography by using Structural Defects for Information Encryption.

Conventional cryptographic methods rely on increased computational complexity to counteract the threat posed by growing computing power for sustainable protection. DNA cryptography circumvents this threat by leveraging complex DNA recognition to maintain information security. Specifically, DNA origami has been repurposed for cryptography, using programmable folding of the long scaffold strand carrying additional tagged strands for information encryption.

Engineering Thermally Reduced Graphene Oxide for Synchronously Enhancing Photocatalytic Activity and Photothermal Effect.

The structural composition of reduced graphene oxide (rGO) can be modified and controlled by appropriate reduction methods to modulate its electronic structure, rendering it a versatile platform for tailoring optoelectronic and catalytic properties. Nevertheless, it is uncommon to concurrently amplify the photocatalytic and photothermal effects when regulating and utilizing pure rGO. Here, we investigate the impact of structural variations in thermally reduced graphene oxide (TGO) on its photocatalytic and photothermal properties.

Enhanced Circular Dichroism for Achiral Sensing Based on a DNA-Origami-Empowered Anapole Metasurface.

Circular dichroism (CD) spectroscopy has been extensively utilized for detecting and distinguishing the chirality of diverse substances and structures. However, CD spectroscopy is inherently weak and conventionally associated with chiral sensing, thus constraining its range of applications. Here, we report a DNA-origami-empowered metasurface sensing platform through the collaborative effect of metasurfaces and DNA origami, enabling achiral/slightly chiral sensing with high sensitivity via the enhanced ΔCD.

Investigating the applicability of novel hydrate dissociation inhibitors in oilwell cement through molecular simulations.

In the field of hydrate formation cementing, the method of developing the low hydration exothermic cement systems cannot effectively solve the problem of hydrate dissociation caused by the hydration heat release of cement. Therefore, we proposed a new approach to address this issue by employing cement additives that can effectively delay the dissociation of hydrate. In our previous work, we designed a novel hydrate dissociation inhibitor, PVCap/dmapma, however, its applicability with cement slurry remains unverified.

Laws of Hydration Heat of Cement and Hydrate Stabilization in Shallow Formations of Deep Seawater.

When cementing is required in marine deepwater hydrate formations, the heat released from the hydration process of oil well cement can easily lead to hydrate decomposition. It is necessary to clarify the initial phase transition temperature of the hydrate layer under the influence of cement waiting for setting so that it can meet the stability of the hydrate layer during cementing. In this paper, based on the actual conditions of offshore deepwater cementing, the coupled temperature field model of cement sheath hydration heat source-well wall hydrate decomposition is established by considering the hydration heat release during the cement waiting process and the phase change heat absorption of the well wall hydrate.