Large-scale fabrication of precisely defined nanostructures with tunable functions is critical to the exploitation of nanoscience and nanotechnology for production of electronic devices, energy generators, biosensors, and bionanomedicines. Although self-assembly processes have been developed to exploit biological molecules for functional materials, the resulting nanostructures and functions are still very limited, and scalable synthesis is far from being realized. Recently, we have established a bacteriophage-based biomimetic process, called 'self-templating assembly'. We used bacteriophage as a nanofiber model system to exploit its liquid crystalline structure for the creation of diverse hierarchically organized structures. We have also demonstrated that genetic modification of functional peptides of bacteriophage results in structures that can be used as soft and hard tissue-regenerating materials, biosensors, and energy-generating materials. Here, we describe a comprehensive protocol to perform genetic engineering of phage, liter-scale amplification, purification, and self-templating assembly, and suggest approaches for characterizing hierarchical phage nanostructures using optical microscopy, atomic-force microscopy (AFM), and scanning electron microscopy (SEM). We also discuss sources of contamination, common mistakes during the fabrication process, and quality-control measures to ensure reproducible material production. The protocol takes ∼8-10 d to complete.
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http://dx.doi.org/10.1038/nprot.2017.085 | DOI Listing |
Mater Adv
January 2025
Department of Materials Science and Metallurgy, University of Cambridge CB3 0FS UK
The ability to convert light to higher energies through triplet-triplet annihilation upconversion (TTA-UC) is attractive for a range of applications including solar energy harvesting, bioimaging and anti-counterfeiting. Practical applications require integration of the TTA-UC chromophores within a suitable host, which leads to a compromise between the high upconversion efficiencies achievable in liquids and the durability of solids. Herein, we present a series of methacrylate copolymers as TTA-UC hosts, in which the glass transition temperature ( ), and hence upconversion efficiency can be tuned by varying the co-monomer ratios (-hexyl methacrylate (HMA) and 2,2,2-trifluoroethyl methacrylate (TFEMA)).
View Article and Find Full Text PDFSmall
January 2025
Institute of Optical Materials and Chemical Biology, Guangxi Key Laboratory of Electrochemical Energy Materials, School of Chemistry and Chemical Engineering, Guangxi University, Nanning, Guangxi, 530004, P. R. China.
Although classical fluorescent dyes feature advantages of high quantum yield, tunable "OFF-ON" fluorescence, and modifiable chemical structures, etc., their bio-applications in deep tissue remains challenging due to their excessively short emission wavelength (that may lead to superficial tissue penetration depth). Therefore, there is a pressing need for pushing the wavelength of classical dyes from visible region to NIR-II window.
View Article and Find Full Text PDFAnal Chim Acta
February 2025
School of Pharmacy, Sungkyunkwan University, Suwon, Gyeonggi-do, 16419, Republic of Korea. Electronic address:
Background: Sample preparation can be a critical stage of analytical procedures that profoundly influences their performance, environmental impact, and overall efficiency. While nanomaterials have revolutionized sample preparation owing to their high surface area-to-volume ratios, tunable surface chemistry, and enhanced adsorption capacities, limitations persist. Researchers have ushered in a new era of efficient sample preparation methodologies that could overcome the limitations of nanomaterials by introducing deep eutectic solvents (DESs), which have unique advantages such as low volatility and toxicity, biodegradability, and tunability.
View Article and Find Full Text PDFISA Trans
January 2025
Department of Electronics and Telecommunication, C. V. Raman Global University, Bhubaneswar 752054, Odisha, India. Electronic address:
Early and highly accurate detection of rapidly damaging deadly disease like Acute Lymphoblastic Leukemia (ALL) is essential for providing appropriate treatment to save valuable lives. Recent development in deep learning, particularly transfer learning, is gaining a preferred trend of research in medical image processing because of their admirable performance, even with small datasets. It inspires us to develop a novel deep learning-based leukemia detection system in which an efficient and lightweight MobileNetV2 is used in conjunction with ShuffleNet to boost discrimination ability and enhance the receptive field via convolution layer succession.
View Article and Find Full Text PDFInt J Pharm
January 2025
Soft Matter Chemistry, Department of Chemistry, and Helsinki Institute of Sustainability Science, Faculty of Science, University of Helsinki, PB55 00014 Helsinki, Finland. Electronic address:
Drug loaded microfiber scaffolds have potential for sublingual drug delivery due to their fast dissolution time and tunable porosity. Such microfiber scaffolds can be prepared by melt electrowriting (MEW), wherein a polymer melt is electrostatically drawn out of a syringe onto a computer controlled moving collector. The fabrication of such scaffolds via MEW has previously been shown for a polymer with a glass transition temperature (T) just above room temperature, making handling challenging.
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