Journal of Advanced Materials in Engineering

Journal of Advanced Materials in Engineering

CRP and TNF-α Detection using Porous Silicon Substrate Based on Reflectometric Interference Fourier Transform Spectroscopy

Document Type : Original Article

Authors
Sh. Mohammadi 1
F. Rahimi 1
A.H. Rezayan 1
A. Abouei Mehrizi 2
M. Sedighi 3
1 Nanobiotechnology Division, Department of Life Sciences Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran
2 Biomedical Engineering Division, Department of Life Science Engineering, Faculty of New Sciences and Technology, University of Tehran, Tehran, Iran
3 3 Cellular and Molecular Research Center, Birjand University of Medical Sciences, Birjand, Iran 4 Department of Nanomedicine, Faculty of Medicine, Birjand University of Medical Sciences, Birjand, Iran
10.47176/jame.41.3.24551
Abstract
Sepsis is one of the leading causes of death in intensive care units (ICU) and is becoming more prevalent globally. As a result, an accurate and timely diagnosis of sepsis is critical for selecting the best treatment to prevent disease progression and mortality. In this study, CRP and TNF-α as common biomarkers of sepsis were detected using a label-free optical biosensor based on interferometric Fourier transform spectroscopy from a porous silicon substrate. The porous silicon layer was chemically modified with APTES and glutaraldehyde to immobilize the aptamer covalently in order to capture the analyte. The refractive index of the porous layer was determined by analyzing the reflection spectrum from the porous layer, which was associated with different biomarker concentrations. The results demonstrated linear responses in concentrations ranging from 10-10000 ng/ml for CRP and 100-10000 ng/ml for TNF-α and the biosensor's high discrimination. Thus, it has a high potential for advancement in clinical sepsis diagnosis.
Keywords
Sepsis
Reflectometric interference Fourier transform spectroscopy (RIFTS)
Porous Silicon
CRP
TNF-α
  1. Liu L, Han Z, An F, Gong X, Zhao C, Zheng W, Mei L, Zhou Q. Aptamer-based biosensors for the diagnosis of sepsis. Journal of Nanobiotechnology 2021;19:1-22.
  2. Schulte W, Bernhagen J, Bucala R. Cytokines in sepsis: potent immunoregulatorsa and potential therapeutic targets—an updated view. Mediators of Inflammation 2013;
  3. Kumar S, Tripathy S, Jyoti A, Singh SG. Recent advances in biosensors for diagnosis and detection of sepsis: a comprehensive review. Biosensors and Bioelectronics 2019;124:205-215.
  4. Vincent J-L., Rello J, Marshall J, Silva E, Anzueto A, Martin CD, Moreno R, Lipman J, Gomersall C, Sakr Y, Reinhart K. International study of the prevalence and outcomes of infection in intensive care units. Jama 2009;302:2323-2329.
  5. Faix JD. Biomarkers of sepsis. Critical Reviews in Clinical Laboratory Sciences 2013;50:23-36.
  6. Buchegger P, Sauer U, Toth-Székély H, Preininger C. Miniaturized protein microarray with internal calibration as point-of-care device for diagnosis of neonatal sepsis. Sensors 2012;12:1494-1508.
  7. Kumar A, Ellis P, Arabi Y, Roberts D, Light B, Parrillo JE, Dodek P, Wood G, Kumar A, Simon D, Peters C, Ahsan M, Chateau D. Initiation of inappropriate antimicrobial therapy results in a fivefold reduction of survival in human septic shock. Chest 2009;136:1237-1248.
  8. Hotchkiss RS, Moldawer LL, Opal SM, Reinhart K, Turnbull IR, Vincent J-L. Sepsis and septic shock. Nature Reviews Disease Primers 2016;2:1-21.
  9. Park KS. Nucleic acid aptamer-based methods for diagnosis of infections. Biosensors and Bioelectronics 2018;102:179-188.
  10. Pechorsky A, Nitzan Y, Lazarovitch T. Identification of pathogenic bacteria in blood cultures: comparison between conventional and PCR methods. Journal of Microbiological Methods 2009;78:325-330.
  11. Urmann K, Walter J-G, Scheper T, Segal E. Label-free optical biosensors based on aptamer-functionalized porous silicon scaffolds. Analytical Chemistry 2015;87:1999-2006.
  12. Sailor M.J. Porous silicon in practice: preparation, characterization and applications. John Wiley & Sons; 2012.
  13. Segal E, Perelman LA, Cunin F, Di Renzo F, Devoisselle JM, Li YY, Sailor MJ. Confinement of thermoresponsive hydrogels in nanostructured porous silicon dioxide templates. Advanced Functional Materials 2007;17:1153-1162.
  14. Rahimi F. Biosensors based on reflectometric interference fourier transform spectroscopy from porous silicon substrate-theoretical principles and experimental results. Iranian Physics Research Journal 2021;21:251-262. (In persian)
  15. Ghiasi Tarzi M, Rahimi F, Abouei Mehrizi A, Jalili Shahmansouri M, Ebrahimi Hoseinzadeh B. Real-time biosensing of growth hormone on porous silicon by reflectometric interference fourier transform spectroscopy. Applied Physics A 2022;128:1-8.
  16. Mariani S, Pino L, Strambini LM, Tedeschi L, Barillaro G. 10 000-fold improvement in protein detection using nanostructured porous silicon interferometric aptasensors. ACS Sensors 2016;1:1471-1479.
  17. Yaghoubi M, Rahimi F, Negahdari B, Rezayan AH, Shafiekhani A. A lectin-coupled porous silicon-based biosensor: label-free optical detection of bacteria in a real-time mode. Scientific Reports 2020;10:1-12.
  18. Vilensky R, Bercovici M, Segal E. Oxidized porous silicon nanostructures enabling electrokinetic transport for enhanced DNA detection. Advanced Functional Materials 2015;25:6725-6732.
  19. Makiyan F, Rahimi F, Hajati M, Shafiekhani A,Rezayan AH, Ansari-Pour N. Label-free discrimination of single nucleotide changes in DNA by reflectometric interference fourier transform spectroscopy. Colloids and Surfaces B: Biointerfaces 2019;181:714-720.
  20. Rahimi F, Fardindoost S, Ansari-Pour N, Sepehri F, Makiyan F, Shafiekhani A, Rezayan Optimization of porous silicon conditions for DNA-based biosensing via reflectometric interference spectroscopy. Cell Journal (Yakhteh) 2019;20:584.
  21. Arshavsky-Graham S, Urmann K, Salama R, Massad-Ivanir N, Walter J-G., Scheper T, Segal E. Aptamers vs. antibodies as capture probes in optical porous silicon biosensors. Analyst 2020;145:4991-5003.
  22. Mello MLS, Vidal B. Changes in the infrared microspectroscopic characteristics of DNA caused by cationic elements, different base richness and single-stranded form. Plos One 2012;7:1-12.
  23. Povoa P, Coelho L, Almeida E, Fernandes A, Mealha R, Moreira P, Sabino H. C-reactive protein as a marker of infection in critically ill patients. Clinical Microbiology and Infection 2005;11:101-108.
  24. Wang W, Mai Z, Chen Y, Wang J, Li L, Su Q, Li X, Hong A label-free fiber optic SPR biosensor for specific detection of C-reactive protein. Scientific Reports 2017;7:1-8.
  25. Zubiate P, Zamarreño C, Sánchez P, Matias I, Arregui F. High sensitive and selective C-reactive protein detection by means of lossy mode resonance based optical fiber devices. Biosensors and Bioelectronics 2017;93:176-181.
  26. Aray A, Chiavaioli F, Arjmand M, Trono C, Tombelli S, Giannetti A, Cennamo N, Soltanolkotabi M, Zeni L, Baldini F. SPR‐based plastic optical fibre biosensor for the detection of C‐reactive protein in Journal of Biophotonics 2016;9:1077-1084.
  27. Rho D, Kim S. Demonstration of a label-free and low-cost optical cavity-based biosensor using streptavidin and C-reactive protein. Biosensors 2020;11:4.
  28. Say R, Diltemiz SE, Çelik S, Ersöz A. Nanolabel for TNF-Α determination. Applied Surface Science 2013;275:233-238.
  29. Bahk Y-K, Kim H-H, Park D-S, Chang S-C, Go J-S. A new concept for efficient sensitivity amplification of a QCM based immunosensor for TNF-Α by using modified magnetic particles under applied magnetic field. Bulletin of the Korean Chemical Society 2011;32:4215-4220.

 

 

Journal of Advanced Materials in Engineering
Volume 41, Issue 3
Autumn 2022
Pages 1-12

تحت نظارت وف ایرانی