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ZIF-8 metal-organic frameworks and their hybrid materials: emerging photocatalysts for energy and environmental applications.
Dalton Trans
January 2025
Centre for Nanoscience and Nanotechnology, Siksha 'O' Anusnadhan (Deemed to be University), Bhubaneswar, Odisha, 751030, India.
In the face of escalating environmental challenges such as fossil fuel dependence and water pollution, innovative solutions are essential for sustainable development. In this regard, zeolitic imidazolate frameworks (ZIFs), specifically ZIF-8, act as promising photocatalysts for environmental remediation and renewable energy applications. ZIF-8, a subclass of metal-organic frameworks (MOFs), is renowned for its large specific surface area, high porosity, rapid electron transfer ability, abundant functionalities, ease of designing, controllable properties, and remarkable chemical and thermal stability.
View Article and Find Full Text PDFActivation of three targets by a TAL effector confers susceptibility to bacterial blight of cotton.
Nat Commun
January 2025
Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI, 48109, USA.
Bacterial transcription activator-like effectors (TALEs) promote pathogenicity by activating host susceptibility (S) genes. To understand the pathogenicity and host adaptation of Xanthomonas citri pv. malvacearum (Xcm), we assemble the genome and the TALE repertoire of three recent Xcm Texas isolates.
View Article and Find Full Text PDFThe Current Role of Circulating Tumor DNA in the Management of Pancreatic Cancer.
J Gastrointest Cancer
January 2025
Division of Surgical Oncology, Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Pancreatic ductal adenocarcinoma (PDAC) is projected to be the second leading cause of cancer-related death by 2030. Early identification is rare, with a 5-year overall survival (OS) of less than 10%. Advances in the understanding of PDAC tumor biology are needed to improve these outcomes.
View Article and Find Full Text PDFVirDetect-AI: a residual and convolutional neural network-based metagenomic tool for eukaryotic viral protein identification.
Brief Bioinform
November 2024
Departamento de Genética del Desarrollo y Fisiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos 62210, México.
This study addresses the challenging task of identifying viruses within metagenomic data, which encompasses a broad array of biological samples, including animal reservoirs, environmental sources, and the human body. Traditional methods for virus identification often face limitations due to the diversity and rapid evolution of viral genomes. In response, recent efforts have focused on leveraging artificial intelligence (AI) techniques to enhance accuracy and efficiency in virus detection.
View Article and Find Full Text PDFEmerging trends in nano-sensors: A new frontier in food safety and quality assurance.
Heliyon
January 2025
Department of Food Sensory and Cognitive Science, Research Institute of Food Science and Technology (RIFST), Mashhad, Iran.
The rapid evolution of nanotechnology has catalyzed significant advancements in the design and application of nano-sensors, particularly within the food industry, where ensuring safety and quality is of paramount concern. This review explores the multifaceted role of nano-sensors constructed from diverse nanomaterials in detecting foodborne pathogens and toxins, offering a comprehensive analysis of their operational principles, sensitivity, and specificity. Nano-sensors leverage unique physical and chemical properties at the nanoscale to enhance the detection of microbial contamination, actively contributing to food safety protocols.
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