The 3D Printing of Nanocomposites for Wearable Biosensors: Recent Advances, Challenges, and Prospects

Parupelli, Santosh Kumar; Desai, Salil

doi:10.3390/bioengineering11010032

Cited by 11 publications

(3 citation statements)

References 211 publications

(248 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mechanical, electrochemical, and spectral prop-erties of nanosensors enhance the diagnostic profile for cancer patients, allowing them to have early detection, a treatment plan, and monitoring of the disease. As shown in Figure 2, during the diagnostic stage, nanosensors can detect extremely low concentrations of cancer biomarkers [63,64]. Integration of AI algorithms in the data analysis can allow recognition of combinatory treatments.…”

Section: Nanomanufacturing Processmentioning

confidence: 99%

Bridging Nanomanufacturing and Artificial Intelligence—A Comprehensive Review

Nandipati,

Fatoki,

Desai

2024

Materials

Self Cite

View full text Add to dashboard Cite

Nanomanufacturing and digital manufacturing (DM) are defining the forefront of the fourth industrial revolution—Industry 4.0—as enabling technologies for the processing of materials spanning several length scales. This review delineates the evolution of nanomaterials and nanomanufacturing in the digital age for applications in medicine, robotics, sensory technology, semiconductors, and consumer electronics. The incorporation of artificial intelligence (AI) tools to explore nanomaterial synthesis, optimize nanomanufacturing processes, and aid high-fidelity nanoscale characterization is discussed. This paper elaborates on different machine-learning and deep-learning algorithms for analyzing nanoscale images, designing nanomaterials, and nano quality assurance. The challenges associated with the application of machine- and deep-learning models to achieve robust and accurate predictions are outlined. The prospects of incorporating sophisticated AI algorithms such as reinforced learning, explainable artificial intelligence (XAI), big data analytics for material synthesis, manufacturing process innovation, and nanosystem integration are discussed.

show abstract

Section: Nanomanufacturing Processmentioning

confidence: 99%

Bridging Nanomanufacturing and Artificial Intelligence—A Comprehensive Review

Nandipati,

Fatoki,

Desai

2024

Materials

Self Cite

View full text Add to dashboard Cite

show abstract

“…With reflection on the security of hardware used to create organoids, largely 3D bioprinters, hardware security is starting to be taken more seriously, as can be seen by initial work by Isichei et al (2023), which draws attention to the security needed in these systems [161]. Parupelli and Desai (2023) note the potential for 3D-printed wearables and biosensors to affect healthcare and industries, which can benefit from complex wearables [162]. A combined cyberbiosecurity/biocybersecurity threat may first be seen within an industrial context.…”

Section: A Hypothetical Case: Organoids Through the Lens Of Both Bioc...mentioning

confidence: 99%

Organoids, Biocybersecurity, and Cyberbiosecurity—A Light Exploration

Palmer,

Akafia,

Woodson

et al. 2024

Organoids

View full text Add to dashboard Cite

Organoids present immense promise for studying organ systems and their functionality. Recently, they have become the subject of exploration outside of purely biomedical uses in multiple directions. We will explore the rapidly evolving landscape of organoid research over the 21st century, discussing significant advancements in organoid research and highlighting breakthroughs, methodologies, and their transformative impact on our understanding of physiology and modeling. In addition, we will explore their potential use for biocomputing and harnessing organoid intelligence, investigate how these miniaturized organ-like structures promise to create novel computational models and processing platforms allowing for innovative approaches in drug discovery, personalized medicine, and disease prediction. Lastly, we will address the ethical dilemmas surrounding organoid research by dissecting the intricate ethical considerations related to the creation, use, and potential implications of these in vitro models. Through this work, the goal of this paper is to provide introductory perspectives and bridges that will connect organoids to cybersecurity applications and the imperative ethical discourse accompanying its advancements with commentary on future uses.

show abstract

“…Ongoing interest in CNTs as components of biosensors [ 43 , 44 , 45 ] and medical devices [ 46 , 47 , 48 ] is motivated by the dimensional and chemical compatibility of CNTs with biomolecules, such as DNA and proteins [ 29 , 49 , 50 , 51 , 52 , 53 ]. In addition, the unique mechanical, electrical, thermal and optical properties of CNTs enable fluorescent and photo-acoustic imaging, as well as localized heating using near-infrared radiation [ 54 , 55 , 56 , 57 ].…”

Section: Introductionmentioning

confidence: 99%

Nanoimprint Lithography for Next-Generation Carbon Nanotube-Based Devices

Fialkova,

Yarmolenko,

Krishnaswamy

et al. 2024

Nanomaterials

Self Cite

View full text Add to dashboard Cite

This research reports the development of 3D carbon nanostructures that can provide unique capabilities for manufacturing carbon nanotube (CNT) electronic components, electrochemical probes, biosensors, and tissue scaffolds. The shaped CNT arrays were grown on patterned catalytic substrate by chemical vapor deposition (CVD) method. The new fabrication process for catalyst patterning based on combination of nanoimprint lithography (NIL), magnetron sputtering, and reactive etching techniques was studied. The optimal process parameters for each technique were evaluated. The catalyst was made by deposition of Fe and Co nanoparticles over an alumina support layer on a Si/SiO2 substrate. The metal particles were deposited using direct current (DC) magnetron sputtering technique, with a particle ranging from 6 nm to 12 nm and density from 70 to 1000 particles/micron. The Alumina layer was deposited by radio frequency (RF) and reactive pulsed DC sputtering, and the effect of sputtering parameters on surface roughness was studied. The pattern was developed by thermal NIL using Si master-molds with PMMA and NRX1025 polymers as thermal resists. Catalyst patterns of lines, dots, and holes ranging from 70 nm to 500 nm were produced and characterized by scanning electron microscopy (SEM) and atomic force microscopy (AFM). Vertically aligned CNTs were successfully grown on patterned catalyst and their quality was evaluated by SEM and micro-Raman. The results confirm that the new fabrication process has the ability to control the size and shape of CNT arrays with superior quality.

show abstract

The 3D Printing of Nanocomposites for Wearable Biosensors: Recent Advances, Challenges, and Prospects

Cited by 11 publications

References 211 publications

Bridging Nanomanufacturing and Artificial Intelligence—A Comprehensive Review

Bridging Nanomanufacturing and Artificial Intelligence—A Comprehensive Review

Organoids, Biocybersecurity, and Cyberbiosecurity—A Light Exploration

Nanoimprint Lithography for Next-Generation Carbon Nanotube-Based Devices

Contact Info

Product

Resources

About