先进光学生物传感器中纳米材料与人工智能的协同作用,用于抗菌药耐药性的精确诊断。

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2024-06-06 DOI:10.1021/acssynbio.4c00070
Bakr Ahmed Taha*, Naser M. Ahmed, Rishi Kumar Talreja, Adawiya J. Haider, Yousif Al Mashhadany, Qussay Al-Jubouri, Aqilah Baseri Huddin, Mohd Hadri Hafiz Mokhtar, Sarvesh Rustagi, Ajeet Kaushik, Vishal Chaudhary* and Norhana Arsad*, 
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引用次数: 0

摘要

抗菌素耐药性(AMR)是全球 "一体健康 "领域的一个重大问题,它源于对抗生素的无意和持续接触,以及准确传染诊断方面的挑战。解决 AMR 问题需要采取一种战略方法,强调通过在临床、环境、农业和畜牧业环境中进行筛查来确定非易感性抗菌剂和相关基因,从而进行早期预防。传统的 AMR 诊断方法(如抗生素药敏试验)具有成本高、过程耗时、需要大量人力等缺点,因此需要智能、快速和现场诊断技术。由纳米人工智能(AI)支持的智能光学生物传感器提供了一种潜在的解决方案,它具有实时、灵敏和便携的特点,可促进快速的护理点 AMR 检测。本综述全面探讨了用于 AMR 诊断的各种类型的光学纳米生物传感器,如表面等离子体共振传感器、耳语-画廊模式传感器、光学相干断层扫描、干涉反射成像传感器、表面增强拉曼光谱、荧光光谱、微孔共振传感器和光镊生物传感器。利用这些纳米智能生物传感器的独特优势,可以实现 AMR 诊断模式的革命性转变,其特点是结果快速、灵敏度高、便携,并可与物联网(IoT)技术集成。此外,纳米光学生物传感器还能进行个性化监测和现场检测,大大缩短了周转时间,并省去了样本保存和运输所需的人力资源。它们在整体环境监测方面的潜力进一步增强了在不同环境中的监测能力,从而改善了现代医疗保健实践,并更有效地管理抗菌治疗。采用这些先进的诊断工具有望增强全球医疗保健能力,以对抗 AMR 并保障 "全民健康"。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Synergizing Nanomaterials and Artificial Intelligence in Advanced Optical Biosensors for Precision Antimicrobial Resistance Diagnosis

Antimicrobial resistance (AMR) poses a critical global One Health concern, ensuing from unintentional and continuous exposure to antibiotics, as well as challenges in accurate contagion diagnostics. Addressing AMR requires a strategic approach that emphasizes early stage prevention through screening in clinical, environmental, farming, and livestock settings to identify nonvulnerable antimicrobial agents and the associated genes. Conventional AMR diagnostics, like antibiotic susceptibility testing, possess drawbacks, including high costs, time-consuming processes, and significant manpower requirements, underscoring the need for intelligent, prompt, and on-site diagnostic techniques. Nanoenabled artificial intelligence (AI)-supported smart optical biosensors present a potential solution by facilitating rapid point-of-care AMR detection with real-time, sensitive, and portable capabilities. This Review comprehensively explores various types of optical nanobiosensors, such as surface plasmon resonance sensors, whispering-gallery mode sensors, optical coherence tomography, interference reflection imaging sensors, surface-enhanced Raman spectroscopy, fluorescence spectroscopy, microring resonance sensors, and optical tweezer biosensors, for AMR diagnostics. By harnessing the unique advantages of these nanoenabled smart biosensors, a revolutionary paradigm shift in AMR diagnostics can be achieved, characterized by rapid results, high sensitivity, portability, and integration with Internet-of-Things (IoT) technologies. Moreover, nanoenabled optical biosensors enable personalized monitoring and on-site detection, significantly reducing turnaround time and eliminating the human resources needed for sample preservation and transportation. Their potential for holistic environmental surveillance further enhances monitoring capabilities in diverse settings, leading to improved modern-age healthcare practices and more effective management of antimicrobial treatments. Embracing these advanced diagnostic tools promises to bolster global healthcare capacity to combat AMR and safeguard One Health.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
期刊最新文献
Bioinformatic Prediction and High Throughput In Vivo Screening to Identify Cis-Regulatory Elements for the Development of Algal Synthetic Promoters. Cell-Free Translation Quantification via a Fluorescent Minihelix. Directed Evolution of Acoustic Reporter Genes Using High-Throughput Acoustic Screening. Metabolic Profile of the Genome-Reduced Bacillus subtilis Strain IIG-Bs-27-39: An Attractive Chassis for Recombinant Protein Production. AutoBioTech─A Versatile Biofoundry for Automated Strain Engineering.
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