Fate of Sniff-the-Diseases through Nanomaterials-supported Optical Biochip Sensors

Bakr Ahmed Taha, Vishal Chaudhary, Sarvesh Rustagi, S. Sonu, Pardeep Singh
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Abstract

Early diagnosis through noninvasive tools is a cornerstone in the realm of personalized and medical healthcare, averting direct/indirect infection transmission and directly influencing treatment outcomes and patient survival rates. In this context, optical biochip breathomic sensors integrated with nanomaterials, microfluidics, and artificial intelligence exhibit the potential to design next-generation intelligent diagnostics. This cutting-edge tool offers a variety of advantages, including being economical, compact, smart, point of care, highly sensitive, and noninvasive. This makes it an ideal avenue for screening, diagnosing, and prognosing various high-risk diseases/disorders by detecting the associated breath biomarkers. The underlying detection mechanism relies on the interaction of breath biomarkers with sensors, which causes modulations in fundamental optical attributes, such as surface plasmon resonance, fluorescence, reflectance, absorption, emission, phosphorescence, and refractive index. Despite these remarkable attributes, the commercial development of optical biochip breathomic sensors faces challenges, such as insufficient support from clinical trials, concerns about cross-sensitivity, challenges related to production scalability, validation issues, regulatory compliance, and contrasts with conventional diagnostics. This perspective article sheds light on the cutting-edge state of optical breathomic biochip sensors for disease diagnosis, addresses associated challenges, proposes alternative solutions, and explores future avenues to revolutionize personalized and medical healthcare diagnostics.
通过纳米材料支持的光学生物芯片传感器了解嗅辨疾病的命运
通过无创工具进行早期诊断是个性化医疗保健领域的基石,可避免直接/间接感染传播,并直接影响治疗效果和患者存活率。在此背景下,集成了纳米材料、微流体技术和人工智能的光学生物芯片呼吸原子传感器展现了设计下一代智能诊断的潜力。这种尖端工具具有多种优势,包括经济、小巧、智能、护理点、高灵敏度和无创。这使它成为通过检测相关呼气生物标记物来筛查、诊断和预后各种高危疾病/失调的理想途径。其基本检测机制依赖于呼气生物标记物与传感器的相互作用,这种相互作用会导致基本光学属性的改变,如表面等离子体共振、荧光、反射、吸收、发射、磷光和折射率。尽管光学生物芯片呼吸原子传感器具有这些显著特性,但其商业开发仍面临挑战,如临床试验支持不足、交叉敏感性问题、与生产可扩展性相关的挑战、验证问题、监管合规性以及与传统诊断方法的对比等。这篇透视文章揭示了用于疾病诊断的光学生物芯片呼吸传感器的前沿状态,探讨了相关挑战,提出了替代解决方案,并探索了彻底改变个性化医疗保健诊断的未来途径。
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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