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Silver Nanoparticles-Decorated Porous Silicon Microcavity as a High-Performance SERS Substrate for Ultrasensitive Detection of Trace-Level Molecules.

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Title: Silver Nanoparticles-Decorated Porous Silicon Microcavity as a High-Performance SERS Substrate for Ultrasensitive Detection of Trace-Level Molecules.
Authors: Hoang, Manh Trung1,2 (AUTHOR), Bui, Huy1,2 (AUTHOR), Hoang, Thi Hong Cam3 (AUTHOR), Pham, Van Hai4 (AUTHOR), Loan, Nguyen Thu1,5 (AUTHOR), Le, Long Van1,6 (AUTHOR), Pham, Thanh Binh1 (AUTHOR), Duc, Chinh Vu1,2 (AUTHOR), Do, Thuy Chi3,5 (AUTHOR), Kim, Tae Jung4,6 (AUTHOR) chidt@tnue.edu.vn, Pham, Van Hoi1,2,5 (AUTHOR), Nguyen, Thuy Van1,2,6 (AUTHOR)
Source: Nanomaterials (2079-4991). Jul2025, Vol. 15 Issue 13, p1007. 15p.
Subjects: Silver nanoparticles, Porous silicon, Molecules, Single molecule detection, SERS spectroscopy, Surface plasmon resonance
Abstract: In this study, we present a novel surface-enhanced Raman scattering (SERS) substrate based on porous silicon microcavities (PSiMCs) decorated with silver nanoparticles (AgNPs) for ultra-sensitive molecule detection. This substrate utilizes a dual enhancement mechanism: the localized surface plasmon resonance (LSPR) of AgNPs and the optical resonance of the PSiMC structure, which together create intense electromagnetic hot spots and prolong photon–molecule interactions. The porous architecture provides a large surface area for uniform nanoparticle distribution and efficient analyte adsorption. The AgNP/PSiMC substrate demonstrates an impressive detection limit of 1.0 × 10−13 M for rhodamine101 and 1.0 × 10−10 M for methyl parathion, outperforming many previously reported SERS platforms. Furthermore, the substrate exhibits excellent signal uniformity (RSD ≈ 6.14%) and long-term stability, retaining over 50% signal intensity after 28 days. These results underscore the potential of AgNP/PSiMCs as highly efficient, reproducible, and scalable SERS platforms for trace-level chemical and environmental sensing applications. [ABSTRACT FROM AUTHOR]
Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Silver Nanoparticles-Decorated Porous Silicon Microcavity as a High-Performance SERS Substrate for Ultrasensitive Detection of Trace-Level Molecules.
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  Data: <searchLink fieldCode="AR" term="%22Hoang%2C+Manh+Trung%22">Hoang, Manh Trung</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bui%2C+Huy%22">Bui, Huy</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hoang%2C+Thi+Hong+Cam%22">Hoang, Thi Hong Cam</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pham%2C+Van+Hai%22">Pham, Van Hai</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Loan%2C+Nguyen+Thu%22">Loan, Nguyen Thu</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Le%2C+Long+Van%22">Le, Long Van</searchLink><relatesTo>1,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pham%2C+Thanh+Binh%22">Pham, Thanh Binh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Duc%2C+Chinh+Vu%22">Duc, Chinh Vu</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Do%2C+Thuy+Chi%22">Do, Thuy Chi</searchLink><relatesTo>3,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Tae+Jung%22">Kim, Tae Jung</searchLink><relatesTo>4,6</relatesTo> (AUTHOR)<i> chidt@tnue.edu.vn</i><br /><searchLink fieldCode="AR" term="%22Pham%2C+Van+Hoi%22">Pham, Van Hoi</searchLink><relatesTo>1,2,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nguyen%2C+Thuy+Van%22">Nguyen, Thuy Van</searchLink><relatesTo>1,2,6</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="DE" term="%22Silver+nanoparticles%22">Silver nanoparticles</searchLink><br /><searchLink fieldCode="DE" term="%22Porous+silicon%22">Porous silicon</searchLink><br /><searchLink fieldCode="DE" term="%22Molecules%22">Molecules</searchLink><br /><searchLink fieldCode="DE" term="%22Single+molecule+detection%22">Single molecule detection</searchLink><br /><searchLink fieldCode="DE" term="%22SERS+spectroscopy%22">SERS spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Surface+plasmon+resonance%22">Surface plasmon resonance</searchLink>
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  Label: Abstract
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  Data: In this study, we present a novel surface-enhanced Raman scattering (SERS) substrate based on porous silicon microcavities (PSiMCs) decorated with silver nanoparticles (AgNPs) for ultra-sensitive molecule detection. This substrate utilizes a dual enhancement mechanism: the localized surface plasmon resonance (LSPR) of AgNPs and the optical resonance of the PSiMC structure, which together create intense electromagnetic hot spots and prolong photon–molecule interactions. The porous architecture provides a large surface area for uniform nanoparticle distribution and efficient analyte adsorption. The AgNP/PSiMC substrate demonstrates an impressive detection limit of 1.0 × 10−13 M for rhodamine101 and 1.0 × 10−10 M for methyl parathion, outperforming many previously reported SERS platforms. Furthermore, the substrate exhibits excellent signal uniformity (RSD ≈ 6.14%) and long-term stability, retaining over 50% signal intensity after 28 days. These results underscore the potential of AgNP/PSiMCs as highly efficient, reproducible, and scalable SERS platforms for trace-level chemical and environmental sensing applications. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Nanomaterials (2079-4991) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/nano15131007
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1007
    Subjects:
      – SubjectFull: Silver nanoparticles
        Type: general
      – SubjectFull: Porous silicon
        Type: general
      – SubjectFull: Molecules
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      – SubjectFull: Single molecule detection
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      – SubjectFull: SERS spectroscopy
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      – SubjectFull: Surface plasmon resonance
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              Text: Jul2025
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