Pub Date : 2024-01-25DOI: 10.2174/0115734137288288240108073034
Dilpreet Singh, Balak Das Kurmi, Amrinder Singh
In recent years, the convergence of two distinct nanomaterials, graphene quantum dots (GQDs) and peptides, has ushered in a new era of innovation in cancer therapeutics and biomedical research. GQDs, quasi-zero-dimensional graphene structures, have garnered significant attention due to their remarkable physicochemical properties, including excellent photoluminescence, high surface area, and biocompatibility [1]. Meanwhile, peptides, short amino acid sequences, have proven themselves as versatile molecular entities with a crucial role in cellular targeting, signaling, and communication. The convergence of these two domains, GQDs and peptides, has opened up exciting opportunities for developing novel nanocarriers and therapeutic platforms for the effective treatment of cancer [2]. The ligation of GQDs and peptides capitalizes on the unique properties of both components. GQDs exhibit exceptional optical properties, making them suitable for imaging and sensing applications [3]. Their high surface area allows for efficient drug loading, while their biocompatibility ensures minimal cytotoxicity. On the other hand, peptides offer molecular specificity, allowing for precise targeting of cancer cells and tissues. By combining these properties, GQD-peptide nanostructures can deliver therapeutic payloads to cancer sites with remarkable accuracy [4].
{"title":"The Convergence of Graphene Quantum Dots and Peptides: Novel Strategy for Cellular Targeting in Cancer","authors":"Dilpreet Singh, Balak Das Kurmi, Amrinder Singh","doi":"10.2174/0115734137288288240108073034","DOIUrl":"https://doi.org/10.2174/0115734137288288240108073034","url":null,"abstract":"In recent years, the convergence of two distinct nanomaterials, graphene quantum dots (GQDs) and peptides, has ushered in a new era of innovation in cancer therapeutics and biomedical research. GQDs, quasi-zero-dimensional graphene structures, have garnered significant attention due to their remarkable physicochemical properties, including excellent photoluminescence, high surface area, and biocompatibility [1]. Meanwhile, peptides, short amino acid sequences, have proven themselves as versatile molecular entities with a crucial role in cellular targeting, signaling, and communication. The convergence of these two domains, GQDs and peptides, has opened up exciting opportunities for developing novel nanocarriers and therapeutic platforms for the effective treatment of cancer [2]. The ligation of GQDs and peptides capitalizes on the unique properties of both components. GQDs exhibit exceptional optical properties, making them suitable for imaging and sensing applications [3]. Their high surface area allows for efficient drug loading, while their biocompatibility ensures minimal cytotoxicity. On the other hand, peptides offer molecular specificity, allowing for precise targeting of cancer cells and tissues. By combining these properties, GQD-peptide nanostructures can deliver therapeutic payloads to cancer sites with remarkable accuracy [4].","PeriodicalId":10827,"journal":{"name":"Current Nanoscience","volume":"16 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139587861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-21DOI: 10.2174/0115734137275111231206072049
Sumel Ashique, Amisha Raikar, Sabahat Jamil, Lavanya Lakhminarayana, Shilpa Amit Gajbhiye, Sneha De, Shubneesh Kumar
: Addressing the challenges posed by climate change, surging population, rival demands on land for renewable fuel manufacturing, and adverse soil conditions is crucial for ensuring global food security. Achieving sustainable solutions necessitates the integration of multidisciplinary knowledge, such as materials technology and informatics. The convergence of precision agriculture with nanotechnology and artificial intelligence (AI) offers promising prospects for sustainable food production. Through real-time responsiveness to crop growth using advanced technologies, such as nanotechnology and AI, farmers can optimize resource allocation and make informed decisions. Newer opportunities for sustainable food production arise through the integration of precision agriculture, nanotechnology, and artificial intelligence. This convergence enables farmers to dynamically respond to crop growth variations using advanced techniques. By combining nanotechnology and informatics methods with existing models for nutrient cycling and crop productivity, it becomes possible to enhance critical aspects, such as precision targeting, efficient absorption, effective distribution, optimized nutrient assimilation, and long-term effects on soil microbial communities. This integration offers significant potential for improving agriculture and addressing sustainability challenges in food production. Ultimately, this synergy allows for the development of nanoscale agrochemicals that offer a balance between safety and functionality, ensuring optimal performance in agricultural systems.
{"title":"Artificial Intelligence Integration with Nanotechnology: A New Frontier for Sustainable and Precision Agriculture","authors":"Sumel Ashique, Amisha Raikar, Sabahat Jamil, Lavanya Lakhminarayana, Shilpa Amit Gajbhiye, Sneha De, Shubneesh Kumar","doi":"10.2174/0115734137275111231206072049","DOIUrl":"https://doi.org/10.2174/0115734137275111231206072049","url":null,"abstract":": Addressing the challenges posed by climate change, surging population, rival demands on land for renewable fuel manufacturing, and adverse soil conditions is crucial for ensuring global food security. Achieving sustainable solutions necessitates the integration of multidisciplinary knowledge, such as materials technology and informatics. The convergence of precision agriculture with nanotechnology and artificial intelligence (AI) offers promising prospects for sustainable food production. Through real-time responsiveness to crop growth using advanced technologies, such as nanotechnology and AI, farmers can optimize resource allocation and make informed decisions. Newer opportunities for sustainable food production arise through the integration of precision agriculture, nanotechnology, and artificial intelligence. This convergence enables farmers to dynamically respond to crop growth variations using advanced techniques. By combining nanotechnology and informatics methods with existing models for nutrient cycling and crop productivity, it becomes possible to enhance critical aspects, such as precision targeting, efficient absorption, effective distribution, optimized nutrient assimilation, and long-term effects on soil microbial communities. This integration offers significant potential for improving agriculture and addressing sustainability challenges in food production. Ultimately, this synergy allows for the development of nanoscale agrochemicals that offer a balance between safety and functionality, ensuring optimal performance in agricultural systems.","PeriodicalId":10827,"journal":{"name":"Current Nanoscience","volume":"35 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139517891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-05DOI: 10.2174/0115734137281774231214054405
Qingwei Zhou, Li Fu, Jiangwei Zhu
Background: Heavy metal contamination of food and the environment is a major concern worldwide. Conventional detection techniques like atomic absorption spectroscopy (AAS), inductively coupled plasma-optical emission spectrometry (ICP-OES) and inductively coupled plasma-mass spectrometry (ICP-MS) have limitations including high costs and insufficient sensitivity. Electrochemical sensors based on carbon nanomaterials have emerged as an attractive alternative for rapid, affordable, and ultrasensitive heavy metal analysis. Methods: This review summarizes recent advances in using carbon nanomaterials like ordered mesoporous carbon, carbon nanotubes, graphene and carbon dots for electrochemical sensing of toxic heavy metals. Synthesis methods, characterization techniques, functionalization strategies and detection mechanisms are discussed. Results: High surface area, electrical conductivity and electrocatalytic activity of carbon nanomaterials enable preconcentration of metal ions and signal amplification at electrode interfaces. This results in remarkably low detection limits down to parts per trillion levels. Functionalization with metal nanoparticles, molecularly imprinted polymers and other nanocomposites further improves sensor selectivity and sensitivity. These sensors have been applied for the quantitative detection of arsenic, mercury, lead, cadmium, chromium, and other toxic metals in lab samples Conclusion: Electrochemical sensors based on carbon nanotubes, graphene, mesoporous carbon, and carbon dots are rapidly emerging as an ultrasensitive, cost-effective alternative to conventional techniques for on-site screening of heavy metal contamination in food and environment. Further validation using real-world samples and integration into portable field testing kits can enable widespread deployment.
{"title":"Electrochemical Sensors Go Nano: Carbon Nanomaterials for Ultrasensitive Heavy Metal Analysis","authors":"Qingwei Zhou, Li Fu, Jiangwei Zhu","doi":"10.2174/0115734137281774231214054405","DOIUrl":"https://doi.org/10.2174/0115734137281774231214054405","url":null,"abstract":"Background: Heavy metal contamination of food and the environment is a major concern worldwide. Conventional detection techniques like atomic absorption spectroscopy (AAS), inductively coupled plasma-optical emission spectrometry (ICP-OES) and inductively coupled plasma-mass spectrometry (ICP-MS) have limitations including high costs and insufficient sensitivity. Electrochemical sensors based on carbon nanomaterials have emerged as an attractive alternative for rapid, affordable, and ultrasensitive heavy metal analysis. Methods: This review summarizes recent advances in using carbon nanomaterials like ordered mesoporous carbon, carbon nanotubes, graphene and carbon dots for electrochemical sensing of toxic heavy metals. Synthesis methods, characterization techniques, functionalization strategies and detection mechanisms are discussed. Results: High surface area, electrical conductivity and electrocatalytic activity of carbon nanomaterials enable preconcentration of metal ions and signal amplification at electrode interfaces. This results in remarkably low detection limits down to parts per trillion levels. Functionalization with metal nanoparticles, molecularly imprinted polymers and other nanocomposites further improves sensor selectivity and sensitivity. These sensors have been applied for the quantitative detection of arsenic, mercury, lead, cadmium, chromium, and other toxic metals in lab samples Conclusion: Electrochemical sensors based on carbon nanotubes, graphene, mesoporous carbon, and carbon dots are rapidly emerging as an ultrasensitive, cost-effective alternative to conventional techniques for on-site screening of heavy metal contamination in food and environment. Further validation using real-world samples and integration into portable field testing kits can enable widespread deployment.","PeriodicalId":10827,"journal":{"name":"Current Nanoscience","volume":"22 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139375669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-30DOI: 10.2174/0115734137276989231205102152
Zafer S. Alshehri, Faez F. Alshehri, Sherien F. Belasy, Eman A. El-Hefny, Magdy S. Aly, Ahmed A. El-Sayed, Nasser A. Hassan
: The coding method of spatial light modulator is the core key of spatial light field modulation technology, and the needs of the modulation algorithm are different under the specified mode and application requirements. This paper first reviews the progress made in recent years in light field control algorithms for digital micromirror devices (DMDs) and liquid crystal spatial light modulators (LC-SLM). Based on existing algorithms, the impact of optimization methods is analyzed. Then, the application areas of the different algorithms are summarized, and the characteristics of the control algorithms are analyzed. In addition, this review highlights innovative breakthroughs achieved by using various coding schemes and spatial light modulators (SLM) to manipulate the light field. Finally, critical future challenges facing emerging control algorithm technologies are outlined, while prospects for developing SLM control algorithms are proposed.
{"title":"Biochemical and Preclinical Evaluation with Synthesis and Docking Study of Pyridopyrimidines and Selenium Nanoparticle Drugs for Cancer Targeting","authors":"Zafer S. Alshehri, Faez F. Alshehri, Sherien F. Belasy, Eman A. El-Hefny, Magdy S. Aly, Ahmed A. El-Sayed, Nasser A. Hassan","doi":"10.2174/0115734137276989231205102152","DOIUrl":"https://doi.org/10.2174/0115734137276989231205102152","url":null,"abstract":": The coding method of spatial light modulator is the core key of spatial light field modulation technology, and the needs of the modulation algorithm are different under the specified mode and application requirements. This paper first reviews the progress made in recent years in light field control algorithms for digital micromirror devices (DMDs) and liquid crystal spatial light modulators (LC-SLM). Based on existing algorithms, the impact of optimization methods is analyzed. Then, the application areas of the different algorithms are summarized, and the characteristics of the control algorithms are analyzed. In addition, this review highlights innovative breakthroughs achieved by using various coding schemes and spatial light modulators (SLM) to manipulate the light field. Finally, critical future challenges facing emerging control algorithm technologies are outlined, while prospects for developing SLM control algorithms are proposed.","PeriodicalId":10827,"journal":{"name":"Current Nanoscience","volume":"13 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139063960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-30DOI: 10.2174/0115734137274085231214100609
Fernando Gomes, Kaushik Pal, Fabíola Maranhão, Carlos Zanoni, Daniele Brandão, Michelle Colão, Gabriel Silva, Jeffrey Ampah, Karine Velasco
Background: This study presents a comprehensive analysis of hybrid nanocatalysts, which amalgamate attributes of both heterogeneous and homogeneous catalysts. Aim: To achieve a holistic understanding of the topic, we embarked on a meticulous exploration across multiple databases. Method: The Web of Science repository yielded 239 pertinent documents, while the Scopus database offered a more exhaustive collection of 1,887 documents. Although Google Scholar suggested a staggering 25,000 articles, its unclear selection criteria raised questions about the precision and dependability of its data. Hence, our study primarily relied on the Scopus database to ensure an extensive sample and analytical rigor. Using the Python-boosted visualization of Similarities methodology, we illuminated interconnections among various terminologies, identifying burgeoning areas within hybrid nanocatalyst research. Result: Our findings emphasized the ascending trajectory toward innovating materials with superior properties in hybrid nanocatalysis. This trajectory accentuated the pivotal role of interdisciplinary collaboration and sustainable methodologies. Advanced analytical techniques, notably X-ray diffraction, emerged as quintessential in delineating the nuanced relationship between hybrid nanocatalysts' structural and functional attributes. We also spotlighted Energy-Dispersive X-ray Spectroscopy's capability in fine-tuning hybrid nanocatalysts' properties, enhancing their catalytic efficacy and selectivity. An intriguing trend our study unearthed was the surge in interest toward integrating natural enzymes as potential catalysts within hybrid nanocatalysts, positioning them as beacons for sustainable and cost-efficient catalyst development. Conclusion: By synthesizing these insights, this research underlines the significance of diverse characterization techniques and the ethos of interdisciplinary collaboration. The derived knowledge offers a repository for fellow researchers, guiding further inquiries, especially regarding integrating natural enzymes in hybrid nanocatalyst innovation.
背景：本研究对混合纳米催化剂进行了全面分析，混合纳米催化剂兼具异相催化剂和均相催化剂的特性。目的：为了全面了解这一主题，我们在多个数据库中进行了细致的探索。研究方法：科学网 "资料库提供了 239 篇相关文献，而 "Scopus "数据库则提供了 1,887 篇更为详尽的文献。尽管谷歌学术（Google Scholar）提供了惊人的 25000 篇文章，但其不明确的选择标准让人怀疑其数据的准确性和可靠性。因此，我们的研究主要依赖 Scopus 数据库，以确保样本的广泛性和分析的严谨性。利用 Python- 增强的相似性可视化方法，我们揭示了各种术语之间的相互联系，确定了混合纳米催化剂研究的新兴领域。结果：我们的研究结果强调了在混合纳米催化中具有卓越性能的创新材料的上升轨迹。这一轨迹凸显了跨学科合作和可持续方法的关键作用。先进的分析技术，尤其是 X 射线衍射技术，在界定杂化纳米催化剂的结构和功能属性之间的微妙关系方面发挥了至关重要的作用。我们还强调了能量色散 X 射线光谱法在微调混合纳米催化剂特性、提高其催化效率和选择性方面的能力。我们的研究发现了一个有趣的趋势，即人们对将天然酶作为潜在催化剂整合到杂化纳米催化剂中的兴趣激增，并将其定位为可持续和具有成本效益的催化剂开发的灯塔。结论通过综合这些见解，本研究强调了多种表征技术和跨学科合作精神的重要性。所获得的知识为同行研究人员提供了一个资料库，指导了进一步的研究，特别是在将天然酶融入混合纳米催化剂创新方面。
{"title":"Advancing Hybrid Nanocatalyst Research: A Python-based Visualization of Similarity Analysis for Interdisciplinary and Sustainable Development","authors":"Fernando Gomes, Kaushik Pal, Fabíola Maranhão, Carlos Zanoni, Daniele Brandão, Michelle Colão, Gabriel Silva, Jeffrey Ampah, Karine Velasco","doi":"10.2174/0115734137274085231214100609","DOIUrl":"https://doi.org/10.2174/0115734137274085231214100609","url":null,"abstract":"Background: This study presents a comprehensive analysis of hybrid nanocatalysts, which amalgamate attributes of both heterogeneous and homogeneous catalysts. Aim: To achieve a holistic understanding of the topic, we embarked on a meticulous exploration across multiple databases. Method: The Web of Science repository yielded 239 pertinent documents, while the Scopus database offered a more exhaustive collection of 1,887 documents. Although Google Scholar suggested a staggering 25,000 articles, its unclear selection criteria raised questions about the precision and dependability of its data. Hence, our study primarily relied on the Scopus database to ensure an extensive sample and analytical rigor. Using the Python-boosted visualization of Similarities methodology, we illuminated interconnections among various terminologies, identifying burgeoning areas within hybrid nanocatalyst research. Result: Our findings emphasized the ascending trajectory toward innovating materials with superior properties in hybrid nanocatalysis. This trajectory accentuated the pivotal role of interdisciplinary collaboration and sustainable methodologies. Advanced analytical techniques, notably X-ray diffraction, emerged as quintessential in delineating the nuanced relationship between hybrid nanocatalysts' structural and functional attributes. We also spotlighted Energy-Dispersive X-ray Spectroscopy's capability in fine-tuning hybrid nanocatalysts' properties, enhancing their catalytic efficacy and selectivity. An intriguing trend our study unearthed was the surge in interest toward integrating natural enzymes as potential catalysts within hybrid nanocatalysts, positioning them as beacons for sustainable and cost-efficient catalyst development. Conclusion: By synthesizing these insights, this research underlines the significance of diverse characterization techniques and the ethos of interdisciplinary collaboration. The derived knowledge offers a repository for fellow researchers, guiding further inquiries, especially regarding integrating natural enzymes in hybrid nanocatalyst innovation.","PeriodicalId":10827,"journal":{"name":"Current Nanoscience","volume":"16 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139063951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-30DOI: 10.2174/0115734137277198231218060425
Vilas A. Chavan, Devidas S. Bhagat, Ajit K. Gangawane, K. Vijaya Babu, Dattatraya Pansare, Bapu R. Thorat, Ravikumar M. Borade, Viney Chawla, Pooja A. Chawla
: Due to the recent rise in explosive-based terrorism and ecological issues, the invention of good capacity detectors for the identification of explosives has emerged as one of the major thirsts in the scientific community. Due to their unique optical and electrical properties, nanocomposites can meet all of the prerequisites for developing preferential, responsive, easy, and cost-effective sensor nodes for the sensing of various explosives. This study primarily throws light on current developments in explosives detection using nanomaterial-based sensors. In particular, it describes how quantum dots, carbon nanomaterials, monometallic nanomaterials, and bimetallic nanomaterials have been used to detect explosives optically and electrochemically. The accurate and consistent features of the nanomaterials, including their synthesis, the explosive detection technique, and the analytical facets, are all thoroughly examined.
{"title":"Detection of Explosive Residues Using Nanomaterial-based Sensors: A Review","authors":"Vilas A. Chavan, Devidas S. Bhagat, Ajit K. Gangawane, K. Vijaya Babu, Dattatraya Pansare, Bapu R. Thorat, Ravikumar M. Borade, Viney Chawla, Pooja A. Chawla","doi":"10.2174/0115734137277198231218060425","DOIUrl":"https://doi.org/10.2174/0115734137277198231218060425","url":null,"abstract":": Due to the recent rise in explosive-based terrorism and ecological issues, the invention of good capacity detectors for the identification of explosives has emerged as one of the major thirsts in the scientific community. Due to their unique optical and electrical properties, nanocomposites can meet all of the prerequisites for developing preferential, responsive, easy, and cost-effective sensor nodes for the sensing of various explosives. This study primarily throws light on current developments in explosives detection using nanomaterial-based sensors. In particular, it describes how quantum dots, carbon nanomaterials, monometallic nanomaterials, and bimetallic nanomaterials have been used to detect explosives optically and electrochemically. The accurate and consistent features of the nanomaterials, including their synthesis, the explosive detection technique, and the analytical facets, are all thoroughly examined.","PeriodicalId":10827,"journal":{"name":"Current Nanoscience","volume":"16 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139064016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-30DOI: 10.2174/0115734137280856231219102128
Yassmen Hamzat, Alaa A. A. Aljabali, Mohamed El-Tanani, Murtaza M. Tambuwala
: Layered assemblies are essential in materials nanoarchitectonics, which organize nanomaterials into well-defined structures. This overview highlights the significance, advancements, challenges, and future directions of layered assembly. The layer-by-layer (LBL) process relies on electrostatic interactions and self-assembly, which are influenced by factors such as charge, pH, and environmental conditions. Solution-based, vapor-phase, and templateguided methods offer distinct advantages and limitations for tailoring the layered structures. Polymeric, inorganic, and hybrid nanomaterials have diverse functionalities for specific applications. Surface modification, functionalization techniques, templating, and patterning methods play key roles in the customization of layered structures. Integration of stimuli-responsive assemblies enables dynamic control and advanced functionality. Characterization techniques, including spectroscopy and microscopy, provide insights into the structure, morphology, and properties of the layered assemblies. The evaluation of the mechanical and electrical properties enhances the understanding of their behavior and suitability for applications. Layered assemblies find applications in biomaterials, optoelectronics, energy storage, and conversion, promising advances in tissue engineering, optoelectronic devices, and battery technology. Challenges in scalability, stability, and material selection necessitate interdisciplinary collaboration, process standardization, innovation, optimization, and sustainability. Advanced characterization techniques and artificial intelligence (AI) integration hold promise for future advancements in layered assemblies. Layered assemblies have great potential in materials science and technology, offering precise control over the structure and functionality of breakthroughs in various applications. Continued research and collaboration will drive progress in this field and pave the way for innovative materials and technologies. Scientists are encouraged to explore the possibilities of layered assemblies, unlock novel solutions to global challenges, and shape the future of nanomaterial engineering.
{"title":"From Nanomaterials to Well-Defined Structures: Exploring Layer-bylayer Assembly Techniques","authors":"Yassmen Hamzat, Alaa A. A. Aljabali, Mohamed El-Tanani, Murtaza M. Tambuwala","doi":"10.2174/0115734137280856231219102128","DOIUrl":"https://doi.org/10.2174/0115734137280856231219102128","url":null,"abstract":": Layered assemblies are essential in materials nanoarchitectonics, which organize nanomaterials into well-defined structures. This overview highlights the significance, advancements, challenges, and future directions of layered assembly. The layer-by-layer (LBL) process relies on electrostatic interactions and self-assembly, which are influenced by factors such as charge, pH, and environmental conditions. Solution-based, vapor-phase, and templateguided methods offer distinct advantages and limitations for tailoring the layered structures. Polymeric, inorganic, and hybrid nanomaterials have diverse functionalities for specific applications. Surface modification, functionalization techniques, templating, and patterning methods play key roles in the customization of layered structures. Integration of stimuli-responsive assemblies enables dynamic control and advanced functionality. Characterization techniques, including spectroscopy and microscopy, provide insights into the structure, morphology, and properties of the layered assemblies. The evaluation of the mechanical and electrical properties enhances the understanding of their behavior and suitability for applications. Layered assemblies find applications in biomaterials, optoelectronics, energy storage, and conversion, promising advances in tissue engineering, optoelectronic devices, and battery technology. Challenges in scalability, stability, and material selection necessitate interdisciplinary collaboration, process standardization, innovation, optimization, and sustainability. Advanced characterization techniques and artificial intelligence (AI) integration hold promise for future advancements in layered assemblies. Layered assemblies have great potential in materials science and technology, offering precise control over the structure and functionality of breakthroughs in various applications. Continued research and collaboration will drive progress in this field and pave the way for innovative materials and technologies. Scientists are encouraged to explore the possibilities of layered assemblies, unlock novel solutions to global challenges, and shape the future of nanomaterial engineering.","PeriodicalId":10827,"journal":{"name":"Current Nanoscience","volume":"24 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139063958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-27DOI: 10.2174/0115734137276125231201113602
Ke Xu, Xianru Li
: The coding method of spatial light modulator is the core key of spatial light field modulation technology, and the needs of the modulation algorithm are different under the specified mode and application requirements. This paper first reviews the progress made in recent years in light field control algorithms for digital micromirror devices (DMDs) and liquid crystal spatial light modulators (LC-SLM). Based on existing algorithms, the impact of optimization methods is analyzed. Then, the application areas of the different algorithms are summarized, and the characteristics of the control algorithms are analyzed. In addition, this review highlights innovative breakthroughs achieved by using various coding schemes and spatial light modulators (SLM) to manipulate the light field. Finally, critical future challenges facing emerging control algorithm technologies are outlined, while prospects for developing SLM control algorithms are proposed.
{"title":"Light Field Modulation Algorithms for Spatial Light Modulators: A Review","authors":"Ke Xu, Xianru Li","doi":"10.2174/0115734137276125231201113602","DOIUrl":"https://doi.org/10.2174/0115734137276125231201113602","url":null,"abstract":": The coding method of spatial light modulator is the core key of spatial light field modulation technology, and the needs of the modulation algorithm are different under the specified mode and application requirements. This paper first reviews the progress made in recent years in light field control algorithms for digital micromirror devices (DMDs) and liquid crystal spatial light modulators (LC-SLM). Based on existing algorithms, the impact of optimization methods is analyzed. Then, the application areas of the different algorithms are summarized, and the characteristics of the control algorithms are analyzed. In addition, this review highlights innovative breakthroughs achieved by using various coding schemes and spatial light modulators (SLM) to manipulate the light field. Finally, critical future challenges facing emerging control algorithm technologies are outlined, while prospects for developing SLM control algorithms are proposed.","PeriodicalId":10827,"journal":{"name":"Current Nanoscience","volume":"3 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139051949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
: Iron is an essential inorganic element for an organism, with several metabolic activities. The glycoproteins ferritin and transferrin, which assist in carrying iron to various body parts, are used to store iron. In terms of iron uptake, storage, and excretion, equilibrium should be preserved. Ferroptosis is an iron-dependent form of cell death with traits like lipid peroxidation buildup and ROS generation. It is distinct from other forms of cell death visually and biochemically. Many cancer cells block ferroptosis by controlling different cell survival pathways. Compared to healthy, normal cells, cancer cells are more dependent on iron. A subgroup of tumor cells known as cancer stem cells has stem-like characteristics. These are in charge of metastasis and recurrence. The liver plays a significant part in the body's detoxifying process and is the primary iron storage organ. Numerous liver disorders are frequently accompanied by excessive iron accumulation. Due to excessive iron deposits, the liver is more vulnerable to oxidative damage, which can occasionally result in liver failure. Chemotherapy, which involves administering several medications to treat cancer, may be hazardous to the body's other cells. The ferroptosis condition and high iron accumulation can potentially impair liver function. A tailored drug delivery method may ameliorate the impact of excessive iron accumulation and favorably correlate with liver damage, consequently enhancing liver function.
{"title":"Nano-drug-based Targeted Therapy Alleviates Ferroptosis-induced Liver Toxicity","authors":"Santhi Latha Pandrangi, Hamad Sharif Shaik, Sungey Naynee Sánchez Llaguno, Juan Alejandro Neira Mosquera, Gooty Jaffer Mohiddin, Prasanthi Chittineedi","doi":"10.2174/0115734137243766230919062151","DOIUrl":"https://doi.org/10.2174/0115734137243766230919062151","url":null,"abstract":": Iron is an essential inorganic element for an organism, with several metabolic activities. The glycoproteins ferritin and transferrin, which assist in carrying iron to various body parts, are used to store iron. In terms of iron uptake, storage, and excretion, equilibrium should be preserved. Ferroptosis is an iron-dependent form of cell death with traits like lipid peroxidation buildup and ROS generation. It is distinct from other forms of cell death visually and biochemically. Many cancer cells block ferroptosis by controlling different cell survival pathways. Compared to healthy, normal cells, cancer cells are more dependent on iron. A subgroup of tumor cells known as cancer stem cells has stem-like characteristics. These are in charge of metastasis and recurrence. The liver plays a significant part in the body's detoxifying process and is the primary iron storage organ. Numerous liver disorders are frequently accompanied by excessive iron accumulation. Due to excessive iron deposits, the liver is more vulnerable to oxidative damage, which can occasionally result in liver failure. Chemotherapy, which involves administering several medications to treat cancer, may be hazardous to the body's other cells. The ferroptosis condition and high iron accumulation can potentially impair liver function. A tailored drug delivery method may ameliorate the impact of excessive iron accumulation and favorably correlate with liver damage, consequently enhancing liver function.","PeriodicalId":10827,"journal":{"name":"Current Nanoscience","volume":"78 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138683472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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