Porous Silicon-Based Aptasensors: Toward Cancer Protein Biomarker Detection

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Sofia Arshavsky-Graham
  • Simon J. Ward
  • Naama Massad-Ivanir
  • Thomas Scheper
  • Sharon M. Weiss
  • Ester Segal

Research Organisations

External Research Organisations

  • Technion-Israel Institute of Technology
  • Vanderbilt University
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Details

Original languageEnglish
Pages (from-to)82-94
Number of pages13
JournalACS Measurement Science Au
Volume1
Issue number2
Early online date25 Aug 2021
Publication statusPublished - 20 Oct 2021

Abstract

The anterior gradient homologue-2 (AGR2) protein is an attractive biomarker for various types of cancer. In pancreatic cancer, it is secreted to the pancreatic juice by premalignant lesions, which would be an ideal stage for diagnosis. Thus, designing assays for the sensitive detection of AGR2 would be highly valuable for the potential early diagnosis of pancreatic and other types of cancer. Herein, we present a biosensor for label-free AGR2 detection and investigate approaches for enhancing the aptasensor sensitivity by accelerating the target mass transfer rate and reducing the system noise. The biosensor is based on a nanostructured porous silicon thin film that is decorated with anti-AGR2 aptamers, where real-time monitoring of the reflectance changes enables the detection and quantification of AGR2, as well as the study of the diffusion and target-aptamer binding kinetics. The aptasensor is highly selective for AGR2 and can detect the protein in simulated pancreatic juice, where its concentration is outnumbered by orders of magnitude by numerous proteins. The aptasensor’s analytical performance is characterized with a linear detection range of 0.05-2 mg mL-1, an apparent dissociation constant of 21 ± 1 μM, and a limit of detection of 9.2 μg mL-1 (0.2 μM), which is attributed to mass transfer limitations. To improve the latter, we applied different strategies to increase the diffusion flux to and within the nanostructure, such as the application of isotachophoresis for the preconcentration of AGR2 on the aptasensor, mixing, or integration with microchannels. By combining these approaches with a new signal processing technique that employs Morlet wavelet filtering and phase analysis, we achieve a limit of detection of 15 nM without compromising the biosensor’s selectivity and specificity.

Keywords

    Anterior Gradient Homologue-2, Aptamer, Cancer Biomarker, Isotachophoresis, Label-Free, Microfluidics, Optical Biosensor, Porous Silicon

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Porous Silicon-Based Aptasensors: Toward Cancer Protein Biomarker Detection. / Arshavsky-Graham, Sofia; Ward, Simon J.; Massad-Ivanir, Naama et al.
In: ACS Measurement Science Au, Vol. 1, No. 2, 20.10.2021, p. 82-94.

Research output: Contribution to journalArticleResearchpeer review

Arshavsky-Graham, S, Ward, SJ, Massad-Ivanir, N, Scheper, T, Weiss, SM & Segal, E 2021, 'Porous Silicon-Based Aptasensors: Toward Cancer Protein Biomarker Detection', ACS Measurement Science Au, vol. 1, no. 2, pp. 82-94. https://doi.org/10.1021/acsmeasuresciau.1c00019
Arshavsky-Graham, S., Ward, S. J., Massad-Ivanir, N., Scheper, T., Weiss, S. M., & Segal, E. (2021). Porous Silicon-Based Aptasensors: Toward Cancer Protein Biomarker Detection. ACS Measurement Science Au, 1(2), 82-94. https://doi.org/10.1021/acsmeasuresciau.1c00019
Arshavsky-Graham S, Ward SJ, Massad-Ivanir N, Scheper T, Weiss SM, Segal E. Porous Silicon-Based Aptasensors: Toward Cancer Protein Biomarker Detection. ACS Measurement Science Au. 2021 Oct 20;1(2):82-94. Epub 2021 Aug 25. doi: 10.1021/acsmeasuresciau.1c00019
Arshavsky-Graham, Sofia ; Ward, Simon J. ; Massad-Ivanir, Naama et al. / Porous Silicon-Based Aptasensors : Toward Cancer Protein Biomarker Detection. In: ACS Measurement Science Au. 2021 ; Vol. 1, No. 2. pp. 82-94.
Download
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abstract = "The anterior gradient homologue-2 (AGR2) protein is an attractive biomarker for various types of cancer. In pancreatic cancer, it is secreted to the pancreatic juice by premalignant lesions, which would be an ideal stage for diagnosis. Thus, designing assays for the sensitive detection of AGR2 would be highly valuable for the potential early diagnosis of pancreatic and other types of cancer. Herein, we present a biosensor for label-free AGR2 detection and investigate approaches for enhancing the aptasensor sensitivity by accelerating the target mass transfer rate and reducing the system noise. The biosensor is based on a nanostructured porous silicon thin film that is decorated with anti-AGR2 aptamers, where real-time monitoring of the reflectance changes enables the detection and quantification of AGR2, as well as the study of the diffusion and target-aptamer binding kinetics. The aptasensor is highly selective for AGR2 and can detect the protein in simulated pancreatic juice, where its concentration is outnumbered by orders of magnitude by numerous proteins. The aptasensor{\textquoteright}s analytical performance is characterized with a linear detection range of 0.05-2 mg mL-1, an apparent dissociation constant of 21 ± 1 μM, and a limit of detection of 9.2 μg mL-1 (0.2 μM), which is attributed to mass transfer limitations. To improve the latter, we applied different strategies to increase the diffusion flux to and within the nanostructure, such as the application of isotachophoresis for the preconcentration of AGR2 on the aptasensor, mixing, or integration with microchannels. By combining these approaches with a new signal processing technique that employs Morlet wavelet filtering and phase analysis, we achieve a limit of detection of 15 nM without compromising the biosensor{\textquoteright}s selectivity and specificity.",
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AU - Arshavsky-Graham, Sofia

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AU - Massad-Ivanir, Naama

AU - Scheper, Thomas

AU - Weiss, Sharon M.

AU - Segal, Ester

N1 - Funding Information: This work was partially supported by the Israel Science Foundation (Grant 704/17), the German Research Foundation under Grant SCHE 279/32-1, and the National Institutes of Health (NIH) (Grant R21AI156693). We are grateful to Prof. Moran Bercovici and Dr. Federico Paratore for their help with the ITP experimental design. We also thank Dr. Khaled Gommed for his assistance in the preparation of the microfluidic channels and Reut Horev for her contribution to the biosensing experiments. E.S and S.A.-G acknowledge the the support of the Australian Technion Society as well as the core services and support from the Lorry I. Lokey Center for Life Science and Engineering.

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