Promising Mass-Productive 4-Inch Commercial SERS Sensor with Particle in Micro-Nano Porous Ag/Si/Ag Structure Using in Auxiliary Diagnosis of Early Lung Cancer

IF 13 2区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Small Pub Date : 2023-03-18 DOI:10.1002/smll.202207324
Yuanmei Gao, Hongyu Zhu, Xiaoxiong Wang, Rong Shen, Xiaoming Zhou, Xiaofei Zhao, Zhen Li, Chao Zhang, Fengcai Lei, Jing Yu
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引用次数: 6

Abstract

The construction of commercial surface enhanced Raman scattering (SERS) sensors suitable for clinical applications is a pending problem, which is heavily limited by the low production of high-performance SERS bases, because they usually require fine or complicated micro/nano structures. To solve this issue, herein, a promising mass-productive 4-inch ultrasensitive SERS substrate available for early lung cancer diagnosis is proposed, which is designed with a special architecture of particle in micro-nano porous structure. Benefitting from the effective cascaded electric field coupling inside the particle-in-cavity structure and efficient Knudsen diffusion of molecules within the nanohole, the substrate exhibits remarkable SERS performance for gaseous malignancy biomarker, with the limit of detection is 0.1 ppb and the average relative standard deviation value at different scales (from cm2 to µm2) is ≈16.5%. In practical application, this large-sized sensor can be further divided into small ones (1 × 1 cm2), and more than 65 chips will be obtained from just one 4-inch wafer, greatly increasing the output of commercial SERS sensor. Further, a medical breath bag composed of this small chip is designed and studied in detail here, which suggested high-specificity recognition for lung cancer biomarker in mixed mimetic exhalation tests.

Abstract Image

具有微纳多孔银/硅/银结构颗粒的4英寸商用SERS传感器在早期肺癌辅助诊断中的应用前景
构建适合临床应用的商用表面增强拉曼散射(SERS)传感器是一个悬而未决的问题,高性能SERS基底的产量低严重限制了这一问题,因为它们通常需要精细或复杂的微纳结构。为了解决这一问题,本文提出了一种具有量产前景的可用于肺癌早期诊断的4英寸超灵敏SERS底物,该底物采用微纳多孔结构的特殊颗粒结构设计。得益于腔内粒子结构的有效级联电场耦合和纳米孔内分子的高效Knudsen扩散,该底物对气体恶性肿瘤生物标志物的SERS性能显著,检出限为0.1 ppb,不同尺度(从cm2到µm2)的平均相对标准偏差值为≈16.5%。在实际应用中,这种大尺寸传感器可以进一步细分为小尺寸(1 × 1 cm2),仅一个4英寸晶圆就可以获得65个以上的芯片,大大提高了商用SERS传感器的输出。此外,本文还设计并详细研究了由该小芯片组成的医用呼吸袋,在混合模拟呼气测试中对肺癌生物标志物具有高特异性识别。
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来源期刊
Small
Small 工程技术-材料科学:综合
CiteScore
17.70
自引率
3.80%
发文量
1830
审稿时长
2.1 months
期刊介绍: Small serves as an exceptional platform for both experimental and theoretical studies in fundamental and applied interdisciplinary research at the nano- and microscale. The journal offers a compelling mix of peer-reviewed Research Articles, Reviews, Perspectives, and Comments. With a remarkable 2022 Journal Impact Factor of 13.3 (Journal Citation Reports from Clarivate Analytics, 2023), Small remains among the top multidisciplinary journals, covering a wide range of topics at the interface of materials science, chemistry, physics, engineering, medicine, and biology. Small's readership includes biochemists, biologists, biomedical scientists, chemists, engineers, information technologists, materials scientists, physicists, and theoreticians alike.
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