用于半导体应用的智能纳米材料:能量存储和生物传感技术的最新进展

G.K. Prashanth , Srilatha Rao , H.S. Lalithamba , N.P. Bhagya , M. Mahadeva Swamy , S.R. Yashodha , H.S. Yogananda
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引用次数: 0

摘要

纳米材料的发展已经彻底改变了功能器件的设计,特别是在半导体应用中。这篇综述批判性地探讨了智能纳米材料在两个变革领域的最新进展:能源存储和生物传感。与早期的描述性评论不同,它集成了不同纳米结构(如金属氧化物、量子点(QDs)、碳杂化和2D材料)的性能比较、机理见解和合成-结构-功能关系。关键器件配置-包括超级电容器和场效应晶体管(FET)为基础的生物传感器-被检查,以强调纳米材料的形态和组成调谐如何影响电化学和生物识别性能。比较分析得到了近期高影响力研究数据的支持,同时解决了诸如可扩展性、可重复性、毒性和实际集成等尚未解决的挑战。本综述的新颖之处在于其双焦点框架,并置能源和生物医学领域的材料和机制,从而为下一代多功能半导体系统提供统一的见解。这种方法解决了文献中的一个关键空白,即大多数评论只关注能源或生物传感平台,而没有考虑它们的重叠协同作用。最后一部分提出了标准化、生物相容性和人工智能辅助设备集成的前瞻性观点,强调了从实验室研究到现实世界部署的路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart nanomaterials for semiconductor applications: Recent advances in energy storage and biosensing technologies
The evolution of nanomaterials has revolutionized the design of functional devices, particularly in semiconductor-based applications. This review critically explores recent advancements in smart nanomaterials for two transformative domains: energy storage and biosensing. Unlike earlier descriptive reviews, it integrates performance comparisons, mechanistic insights, and synthesis–structure–function relationships across diverse nanostructures such as metal oxides, quantum dots (QDs), carbon hybrids, and 2D materials. Key device configurations—including supercapacitors and field-effect transistor (FET)-based biosensors—are examined to highlight how morphological and compositional tuning of nanomaterials affects electrochemical and biorecognition performance. Comparative analysis is supported by data from recent high-impact studies, while unresolved challenges such as scalability, reproducibility, toxicity, and real-world integration are addressed. The novelty of this review lies in its dual-focus framework, juxtaposing materials and mechanisms from both energy and biomedical domains, thus providing unified insights for next-generation multifunctional semiconductor systems. This approach addresses a critical gap in the literature, where most reviews focus exclusively on either energy or biosensing platforms, without considering their overlapping synergies. The final section presents a forward-looking perspective on standardization, biocompatibility, and AI-assisted device integration, emphasizing the roadmap from laboratory research to real-world deployment.
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