4.6 Article

High-throughput surface-enhanced Raman scattering sensors for near-infrared detection of biochemical molecules

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JOURNAL OF MATERIALS CHEMISTRY C
卷 11, 期 13, 页码 4486-4491

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ROYAL SOC CHEMISTRY
DOI: 10.1039/d2tc05542b

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The inappropriate usage of biochemical molecules has resulted in serious environmental problems. To address this, there is a need for low-cost biochemical sensors. Surface-enhanced Raman scattering (SERS) has shown potential, but has limitations of low utilization and high cost. In this study, researchers developed a high-throughput and highly sensitive NIR-SERS biochemical sensor by combining inkjet printing technology with plasmonic metallic nanoparticles. This new sensor showed the ability to detect multiple biochemical molecules with high sensitivity.
The inappropriate usage of biochemical molecules has led to serious environmental problems, and there is an urgent need to seek low-cost biochemical molecular sensors. Surface-enhanced Raman scattering (SERS) has received extensive attention due to their high sensitivity and specificity but is limited by low utilization and high cost. Here, we develop a high-throughput and highly sensitive NIR-SERS biochemical sensor (HNIR-SERS sensor) by combining inkjet printing technology with plasmonic metallic nanoparticles. First, we fabricated gridded substrates using imprinting technology, where the separated areas are in a typical cubic arrangement. Porous Au@AuAg yolk-shell nanorods (NRs), serving as assembly units, were then regularly assembled on the substrates by inkjet printing, forming an HNIR-SERS sensor. This new kind of HNIR-SERS sensor can achieve high sensitivity detection of multi biochemical molecules in one sensor substrate. As an example, this HNIR-SERS sensor enables efficient detection of 4-aminothiophenol (4-ATP) and rhodamine 6G (R6G), with an enhancement factor (EF) of 10(8) for 4-ATP. This work provides an effective method to achieve high-throughput and low-cost NIR-SERS sensors for pushing the practical application in Raman detection chips.

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