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用于化学绘图的智能微尘。

Smart Dust for Chemical Mapping.

作者信息

Mondal Indrajit, Haick Hossam

机构信息

Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion - Israel Institute of Technology, Haifa, 3200003, Israel.

Life Science Technology (LiST) Group, Danube Private University, Fakultät Medizin/Zahnmedizin, Steiner Landstraße 124 , Krems-Stein, ÖSTERREICH, 3500, Austria.

出版信息

Adv Mater. 2025 May;37(19):e2419052. doi: 10.1002/adma.202419052. Epub 2025 Mar 25.

DOI:10.1002/adma.202419052
PMID:40130762
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12075923/
Abstract

This review article explores the transformative potential of smart dust systems by examining how existing chemical sensing technologies can be adapted and advanced to realize their full capabilities. Smart dust, characterized by submillimeter-scale autonomous sensing platforms, offers unparalleled opportunities for real-time, spatiotemporal chemical mapping across diverse environments. This article introduces the technological advancements underpinning these systems, critically evaluates current limitations, and outlines new avenues for development. Key challenges, including multi-compound detection, system control, environmental impact, and cost, are discussed alongside potential solutions. By leveraging innovations in miniaturization, wireless communication, AI-driven data analysis, and sustainable materials, this review highlights the promise of smart dust to address critical challenges in environmental monitoring, healthcare, agriculture, and defense sectors. Through this lens, the article provides a strategic roadmap for advancing smart dust from concept to practical application, emphasizing its role in transforming the understanding and management of complex chemical systems.

摘要

这篇综述文章通过研究如何调整和改进现有化学传感技术以充分发挥其潜力，探讨了智能尘埃系统的变革潜力。智能尘埃以亚毫米级自主传感平台为特征，为跨不同环境进行实时、时空化学绘图提供了无与伦比的机会。本文介绍了支撑这些系统的技术进步，批判性地评估了当前的局限性，并概述了新的发展途径。文中讨论了包括多化合物检测、系统控制、环境影响和成本在内的关键挑战以及潜在的解决方案。通过利用微型化、无线通信、人工智能驱动的数据分析和可持续材料方面的创新，本综述突出了智能尘埃在应对环境监测、医疗保健、农业和国防领域关键挑战方面的前景。通过这一视角，本文提供了一个将智能尘埃从概念推进到实际应用的战略路线图，强调了其在转变对复杂化学系统的理解和管理方面的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c898/12075923/4521c7e7d0dc/ADMA-37-2419052-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c898/12075923/fc10d677eb85/ADMA-37-2419052-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c898/12075923/e0007782f828/ADMA-37-2419052-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c898/12075923/a3bc6ccfc1a4/ADMA-37-2419052-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c898/12075923/7c913fca689f/ADMA-37-2419052-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c898/12075923/1df426b336ae/ADMA-37-2419052-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c898/12075923/e59e63b95b30/ADMA-37-2419052-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c898/12075923/4844dd96a9ed/ADMA-37-2419052-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c898/12075923/16f20363cba5/ADMA-37-2419052-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c898/12075923/61194712f175/ADMA-37-2419052-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c898/12075923/7e0eb60507b8/ADMA-37-2419052-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c898/12075923/25cc2d09417a/ADMA-37-2419052-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c898/12075923/4521c7e7d0dc/ADMA-37-2419052-g005.jpg

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ACS Sens. 2025 Jan 24;10(1):159-174. doi: 10.1021/acssensors.4c01595. Epub 2025 Jan 9.
3
Advancements in Passive Wireless Sensing Systems in Monitoring Harsh Environment and Healthcare Applications.
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Nanomicro Lett. 2025 Jan 9;17(1):106. doi: 10.1007/s40820-024-01599-8.
4
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Micromachines (Basel). 2024 Dec 3;15(12):1471. doi: 10.3390/mi15121471.
5
Self-Extracting Dextran-Based Hydrogel Microneedle Arrays with an Interpenetrating Bioelectroenzymatic Sensor for Transdermal Monitoring with Matrix Protection.具有互穿生物电酶传感器的自提取葡聚糖基水凝胶微针阵列用于经皮监测并具有基质保护作用。
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6
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7
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