Next Article in Journal
A Crop Classification Method Integrating GF-3 PolSAR and Sentinel-2A Optical Data in the Dongting Lake Basin
Previous Article in Journal
Structured Background Modeling for Hyperspectral Anomaly Detection
Previous Article in Special Issue
Discrimination of Milks with a Multisensor System Based on Layer-by-Layer Films
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

An Advanced, Silicon-Based Substrate for Sensitive Nucleic Acids Detection

1
STMicroelectronics Stradale Primosole, 50, 95121 Catania, Italy
2
Biomedical and Biotechnological Sciences, University of Catania, Via Santa Sofia 97, 95123 Catania, Italy
*
Authors to whom correspondence should be addressed.
Sensors 2018, 18(9), 3138; https://doi.org/10.3390/s18093138
Submission received: 14 August 2018 / Revised: 10 September 2018 / Accepted: 13 September 2018 / Published: 17 September 2018
(This article belongs to the Special Issue Supramolecular Chemistry for Sensors Application)

Abstract

:
Surface substrate and chemical functionalization are crucial aspects for the fabrication of the sensitive biosensor based on microarray technology. In this paper, an advanced, silicon-based substrate (A-MA) allowing enhancement of optical signal for microarray application is described. The substrate consists in a multilayer of Si/Al/SiO2 layers. The optical signal enhancement is reached by a combination of the mirror effect of Al film and the SiO2 thickness around 830 nm, which is able to reach the maximum of interference for the emission wavelength of the Cy5 fluorescent label. Moreover, SiO2 layer is suitable for the immobilization of single-strand DNA through standard silane chemistry, and probe densities of about 2000 F/µm2 are reached. The microarray is investigated in the detection of HBV (Hepatitis B Virus) pathogen with analytical samples, resulting in a dynamic linear range of 0.05–0.5 nM, a sensitivity of about 18000 a.u. nM−1, and a Limit of Detection in the range of 0.031–0.043 Nm as a function of the capture probe sequence.

1. Introduction

Microarrays (MAs) are one of the most powerful and widely used biotechnologies for nucleic acids detection and are particularly relevant in the field of genomics [1]. Currently, MAs are attracting great interest among biologists, biochemists, and biomedical researchers, mainly for gene expression evaluation and mutation detection [2,3]. Besides detecting nucleic acids, MAs are also widely used to analyze proteins [4,5], carbohydrates [6], and cells [7]. The strengths of this technology are high throughput, miniaturization, and multiplexing analysis [8,9]. The integration of microarray technology with microfluidics, microelectronics, MEMS, and optical technologies has led to the development of modern and advanced miniaturized Lab-on-chip (LoC) devices [10,11,12]. In this context, silicon material offers several advantages for creating technological advancements in smart LoC devices. Actually, it combines significant physical properties (such us good electrical, thermal, and photoconductivity) with important technological aspects including consolidated production technologies, industrialization processes, and the integration of “intelligence on board” through microelectronic circuitry [13,14,15].
MA consists of a large amount of arrayed capture probes anchored by a proper chemistry to the surface of a solid substrate. In case of DNA detection, the capture probes are single-strand oligonucleotides, which are generally 25 mer in length (ssDNA microarray). The fabrication processes can be summarised in two steps: (a) in situ synthesis of the capture probe and (b) the microspotting of pre-synthesized capture probes by contact or noncontact printing technologies [16]. In this context, the probe immobilization strategy plays a key role, strongly influencing probe density and, then, hybridization processes [17,18,19]. Many chemistry strategies suitable for covalent capture probe attachment are reported in the literature, such as epoxy-amine, aldehyde-amine, metal-sulphur, biotin-streptavidin, and amine-N-hydroxy succinimide chemistries [20,21]. Similarly, unmodified oligonucleotides can bind to positively charged amine-functionalized substrates, such as chitosan, poly-lysine, or others, to obtain an electrostatically surface attachment [20]. Once prepared, ssDNA microarrays will be hybridized through a reaction in which the capture probes molecularly recognize the complementary sequence of an amplified DNA target (polymerase chain reaction, PCR product) or, recently, of a whole genome without PCR amplification [22].
The hybridization response can be transduced by various methods such as magnetic [23], optical [24], mechanical [25], or electrochemical signals [26]. Due to the relative high sensitivity, the most common transduction method currently in use is the fluorescence quantification of molecular dyes, such as Cy5, Cy3, VIC, and FAM, which label the DNA target upon the hybridization process. An interesting approach to increase the optical signal for the detection of biomolecules was proposed by Zhao [27]. The method is mainly based on porous silicon microcavity that is able to change the effective refractive index upon the molecular recognition event and to increase the surface area for the molecular capture.
Although the analytical performances of ssDNA microarrays such us Limit of Detection (LoD), dynamin range, and sensitivity are correlated with (i) the specific capture probe (sequence and length), (ii) probe density (strategy of immobilization), and (iii) the experimental hybridization protocols, they are also strongly affected by the level of fluorescence emission upon the probe-to-target recognition process.
In this work, an ssDNA MA based on an advanced silicon-based substrate A-MA that is able to enhance the hybridization fluorescent signal for the detection of Hepatitis B Virus (HBV) specific sequence is reported. The substrate consists of a multilayer of Si/Al/SiO2 layers. The Al film acts as an optical mirror, while the SiO2 layer is properly modulated in its thickness to achieve fluorescence enhancement by constructive interference of Cy5 emission. The evaluation of signal enhancement, together with the system analytical perfomances in terms of dynamic linear range, sensitivity, LoD, and LoB (Limit of Background), are presented and discussed.

2. Materials and Methods

2.1. Chemicals

All the reagents used for the chemical process, microarray fabrication, and testing experiments were purchased by Sigma-Aldrich and used as received. Bovine serum albumin (BSA) fraction V was purchased from Euroclone.
The oligonucleotide 5′amino-derivatised ssDNA probes P1 (5′H2N-C6-GGT GAG TGA TTG GAG GTT), P2 probe: (5′H2N-C6-CAC ATC AGG ATT CCT AGG), P1-Cy5 labelled probe: (5′H2N-C6-GGT GAG TGA TTG GAG GTT-3′Cy5) and negative control (Pneg) probe (5′H2N-C6-AAA AAA AAA AAA AAA AAA) were purchased from MWG (Germany). The complementary hybridization Cy5 labeled target P1* (Cy5 5′-AAC CTC CAA TCA CTC ACC) and hybridization Cy5 labeled target P2* (Cy5 5′-CCT AGG AAT CCT GAT GTG) were purchased by MWG Biotech.

2.2. Microarray Fabrication

The A-MA microarray substrate (7.5 × 2.5 cm) was manufactured by standard VLSI technology and consists of a silicon substrate (about 600 μm of thickness) featured by a multilayer of Al film placed by CVD method (900 nm) and a SiO2 layer placed by TEOS precursor with PE-CVD technique, with thickness ranging from 780 nm to 925 nm.
(a)
Chemical process. The A-MA substrates were chemically processed with the following steps: (a) cleaning (to remove organic contamination) and activation process (to increase the Hydroxyl group (-OH) density at SiO2 surface) by plasma O2 treatment was performed by Sentech plasma generator (300 s, 100 W); (b) vapor phase silanization with GOPS (glycidoxysilane) was carried out in under vacuum Oven with the follow conditions: 4 h, 0.1 Atm, and 125 °C; (c) spotting of capture probes by a Perkin Elmer piezo spotter dispensing drops of 300 pL of solution of oligonucleotides (10 µM) in Na2HPO4 buffer (150 mM, pH = 9); (d) probe anchoring step by incubating the spotted substrate for 4 h at 30 °C and 90% humidity relative in a climatic cell; (e) passivation step by deposition of BSA protein layer, dipping the substrates in BSA 1%aqueous solution, SSC 2X, SDS 0.1%, for 15 h at 55 °C. The substrates were then rinsed in deionized water and dried by a nitrogen flow. Each process step was characterized by XPS analysis (see below Section 3.2.1).
(b)
Microarray for optical characterization. 6 × 14 microarray layout (spot size 100 µm, pitch 250 µm) was prepared by a Non-Contact PiezoArray (PERKIN ELMER) in a clean room. The spotting plate for this study was composed of two main DNA oligo solutions made by a mixture of Cy5-labeled oligo P1 and not-labeled oligo P1 at different concentration ratios to maintain the total concentration of DNA oligo ([Cy5-labeled oligo P1] + [not-labeled oligo P1] ) equal to 10 µM in 150 mM of phosphate printing buffer. Figure 1a reports the scheme of the layout used for this study.
(c)
Microarray for probe density characterization. Microarray layout of size 6 × 21 (spot size 100 µm, pitch 250 µm) was prepared by a Non-Contact PiezoArray (PERKIN ELMER) in clean room. The spotting solutions were composed of two main DNA oligo solutions made by a mixture of Cy5-labeled oligo P1 and not-labeled oligo P1 at different concentrations to maintain the total concentration of DNA oligo ([Cy5-labeled oligo P1] + [not-labeled oligo P1] ) equal to 10 µM in 150 mM of phosphate printing buffer. The final concentrations of P1 Cy5-labeled probes were in the range of 5000–10 F/µm2. Figure 1b reports the scheme of the layout used for this study.
(d)
Microarray for analytical performances characterization. Microarray layouts of size 6 × 18 spots (spot size 100 µm, pitch 250 µm) were printed by a Non-Contact PiezoArray (PERKIN ELMER) in clean room according to previously described procedures [28].

2.3. Hybridization Protocol

The hybridization reaction was carried out by a 250 μL solution containing P1* Cy5 and P2* Cy5 labelled perfect match targets at various concentrations of 0.0005 nM, 0.005 nM, 0.05 nM, 0.10 nM, 0.50 nM, 5.00 nM, 15.00 nM, and 50.00 nM in 20 mM of sodium phosphate buffer, 1 M NaCl, 5.2 mM fo KCl, 0.1% of Tween20, 2 × of Denardt’s solution, and 20 μg/μL of ssDNA. After hybridization, a washing step consisting of 5′ at 40 °C in 2X SSC, followed by a second wash of 5′ at 40 °C in 0.2X SSC, was carried out.

2.4. SiO2 Thickness and Optical Measurements

The measurements of SiO2 thickness and the reflectance spectra were performed by Ellipsometer SENTCH850.
The microarray fluorescent images were acquired by Optical Reader SN 038 [3], set in multisot 5 acquisition mode. Images were analyzed by a customized software InCheck Platform H-MAT version 2.5.1 (developed by STMicroelectronics) with the following analysis protocol. For each spotted slide, the average and standard deviation of signal intensity (σ) of the 42 replicas of each Cy5-labled oligo DNA concentration of layout in Figure 1 was calculated. These values were correlated with the specific SiO2 thickness.

3. Results and Discussion

3.1. Substrate Optical Characterization

The A-MA substrate structures were composed of a multilayer structure comprising Silicon substrate, on top of which was placed a layer of Al and SiO2 film with thickness of about 830 nm (Figure 2). This structure has been designed to allow enhancement of light occurring at the substrate surface, since SiO2 film thickness was modulated as function of Cy5-emitted light, and Al acts as mirror.

3.1.1. Reflectance Measurements

In order to evaluate the mirror effect of the Al layer in the multilayer structure of the A-MA substrate, reflectance measurements were carried out on substrates featured by SiO2 layers with thicknesses ranging between 780 nm and 925 nm. The obtained reflectance spectra were expressed by percentage of reflectance variation (R%) compared to the signal of the reference sample (i.e., pure Al layer) (Figure 2a). The R% values at the first interference maximum and minimum are plotted in Figure 3b.
The R% variation over the explored wavelength range in the case of both 1st max (from 0.6 to 0.55) and 1st min (from 0.44 to 0.41) returns in the range of variability of the signal of Al reference sample within the explored wavelength range.
This finding indicates that the variation of the Al metal reflectivity is negligible over the explored SiO2 thickness range with a consequent negligible variation of the fluorescence signal.

3.1.2. Fluorescence Signal Characterization

In order to characterize the level of light enhancement on Cy5 fluorescence signals, three concentrations (60 replica each conctentration) of P1-Cy5 labeled probes 0.1 µM (20 fluorophores µm−2), 0.01 µM (200 fluorophores µm−2), and 0.001 µM (2000 fluorophores µm−2 ) were spotted onto A-MA surfaces of substrates with SiO2 thicknesses ranging between 780 nm and 925 nm. Figure 4 illustrates the obtained microarray fluorescence image, highlighting also the relative capture probes layout.
The values of fluorescence signal intensities versus the SiO2 thickness for all the three concentrations of P1 Cy5-probe investigated (0.1 µM, 0.01 µM, and 0.001 µM) are reported in Figure 5. The curve shows a maximum of interference of about 835 nm with a width of 90 nm at half maximum. Data of concentration 0.1 µM were fitted by the mathematical model based on the Sinesqr Equation (1):
Y = A sin2(π (x − xc)/w)
in which A is the difference of signal between max and min, xc (725 ± 6 nm) is the x position of min, w is the full width at half maximum (210 ± 10 nm), Y is the signal recorded (52650 ± 1700 a.u.) and x is the SiO2 thickness (830 ± 8 nm). The fitting shows a maximun of fluorescence peak at 830 ± 8 nm and a bandwidth value of 105 ± 20 nm. These data confirm the experimental finding above reported showing a maximum of interference for the Cy5 emission wavelength at a SiO2 thickness value of about 830 nm with a width of 90 nm at half maximum.
The linear correlation between the Cy5-probe densities (20, 200, and 2000 fluorophores/µm2 calculated assuming spot size of about 110 µm2) versus the fluorescence signal intensities measured at the maximum of interference of 835 nm is reported in Figure 4b. Data show a significant linear fit (Y = −140.7 + 30.35X; R2 = 0.994). The limit of detection (LoD) has been calculated using as Y value a current value corresponding to four-times the background signal (116 a.u.). A LoD of about of about 20 fluorophores/µm2 was found.

3.2. Surface Grafting Characterization

3.2.1. Chemical Process and Grafting Characterization

Figure 6 reports the scheme of the chemical steps used in the present study for the grafting of the ssDNA probes that comprises (a) plasma-O2 cleaning and activation, (b) epoxy-silanization, (c) capture probe spotting and anchoring, and (d) BSA passivation. In order to follow the effectiveness of the chemical process, each step was characterized by XPS analysis. After plasma-O2 process (step (a)), the XPS spectra shows the diagnostic peaks for Si2p (30%) and O1s (56.5%), proving the goodness of the cleaning. Upon silanization (step (b)), the XPS spectrum in the range of 0–1000 eV exhibits the specific peaks for Si2p (27%), O2p (51.6%), and C1s (10%). A Gaussian-Lorentz deconvolution for the C1s peak reports two main components: a first centered at about 285.2 eV attributed to C-C and C-H carbon species and a second centered at about 286.7 eV attribute to C-O species. The ratio C1s/Si2p value for silanized surface is 0.37. This is diagnostic of the presence of organic layer covering the substrate surface in line with epoxy-silane derivatization. Finally, after passivation with BSA protein (step (d)), the XPS spectra show the following peaks: C1s at 285 eV (17.31%), O1s (53.70), N1s at 400 eV (2.46%), and Si2p (24.77%). Both the peak for nitrogen (N1s) and the ratio C1s/Si2p ratio of about 0.7 (versus C1s/Si2p ratio of 0.37 for the silanized surface) confirm the presence of a protein layer.

3.2.2. Capture Probe Density Evaluation

In order to evaluate the A-MA surface grating ability, intra-spot probe densities average values were assessed by means of a calibration curve. This curve was obtained by spotting onto A-MA substrate 10 different concentrations (5000–10 F/µm2) of P1 Cy5-labeled probes and by recording fluorescence images (Figure 7a). Signal fluorescence intensities extracted by the images were plotted versus Cy5-labeled oligoprobes concentration (F/µm2) to obtain the calibration curve illustrated in Figure 7b. A good liner correlation was found (Y = 755.12 + 17.55X; R2 = 0.9884). The curve was then used to evaluate the probe density values as described below.
To evaluate the probe density values, A-MAs were prepared by spotting Cy5-labeled P1 and P2 probes according to the chemical process described in the previous section and the layout reported in Figure 1b. The obtained fluorescence images were analysed, and the related signals used to read the corresponding probe density values (F/µm2) using the calibration curve above described. Table 1 reports the obtained results for both probes Cy5-labeled P1 and P2. Values around 2000 fluorophores per µm2 were found. This finding confirms previously published studies on probe grafting on silicon oxide surfaces [17,19].

3.3. Analytical Performances Characterization

The A-MA analitycal performance in terms of linearity, sensitivity LoD, and LoB was assessed performing hybridation with P1* and P1* Cy5 labelled perfect match targets at various concentrations of 0.00 nM, 0.0005 nM, 0.005 nM, 0.05 nM, 0.10 nM, 0.50 nM, 5.00 nM, 15.00 nM, and 50.00 nM, respectively. The Foreground Median (FMed) as the median of pixel intensity of fluorescence signal and the Background Mean (BM) as the mean of pixel intensity of local background were measured from each hybridized spots.
Figure 8 illustates the average FMed values obtained for both P1 and P2 perfect match over the explored concentration range. Good linearity can be observed for the range between 0.05 nM and 0.5 nM for both specific targets.
In order to calculate both the LoD and the LoB for each probes, a methodology based on linear regression has been applied. More in details, the LoB value for each probe has been found by appliying Equation (2), in which NB is number of background replica and estimating the 95% percentile p = (100 − α) = 95.
LoB = [NB(p/100) + 0.5]
From this procedure was obtained for P1 and P2 probes LoB values of about 204 and 257, respectively.
The LoD was estimated set to 4 times the LoB signal intensity value (Cut-off) in the regression linear equation above reported. The finding LoD are 0.031 nM and 0.043 nM for specifc P1 and P2, respectively. Regarding the sensitivity, it was defined as the slope of the regression linear equation, and a value was found of 17702.2 a.u. nM−1 for the specific P1 probe and 17882.7 a.u. nM−1 for P2, respectively.

4. Conclusions

In this work, an advanced, silicon-based substrate (A-MA) able to sensitively enhance fluorescent signals for microarray applications has been presented. The substrate contains a multilayer structure consisting of an Si substrate with Al film acting as a light mirror, and an SiO2 layer properly modulates the thickness (835 nm) to achieve the fluorescence enhancement by light constructive interference for the emission wavelength of the Cy5 fluorescent label. The immobilization of the ssDNA probe was achieved by means of standard silane chemistry, and probe densities of about 2000 F/µm2 were found. The A-MA investigated in the detection of HBV (Hepatitis B Virus) pathogen showed a dynamic linear range of 0.05–0.5 nM, a sensitivity of about 18000 a.u. nM−1, and a Limit of Detection in the range of 0.031–0.043 nM as a function of the capture probe sequence.
In conclusion, the main strength of the A-MA substrate can be summarized as it follows: (i) the total reflection of fluorescence-signal; (ii) the good optical transmission of SiO2 layer; (iii) the ability to modulate the SiO2 thickness to gain the maximum interference in correlation to the fluorescence-label emission wavelength; and (iv) the high chemically versatility of SiO2 surface, being easily modified by silane-strategy to obtain covalent capture probes anchoring. All these features make this substrate very promising in the development of new microarray platforms for the next generation of molecular diagnostic devices.

Author Contributions

S.C. conceived the study and wrote the manuscript; S.P. helped conceive the study, prepared the microarray, and contributed to writing the manuscript; S.C. and N.V. performed the hybridization test and analyzed the data; R.P. discussed the results and contributed to the final manuscript. All authors have read and approved the final version of this manuscript and agreed to be accountable for all aspects of the work.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Brown, P.O.; Botstein, D. Exploring the new world of the genome with DNA microarrays. Nat. Genet. 1997, 21, 33–37. [Google Scholar] [CrossRef] [PubMed]
  2. Schulze, A.; Downward, J. Navigating gene expression using microarrays—A technology review. Nat. Cell Biol. 2001, 3, E190–E195. [Google Scholar] [CrossRef] [PubMed]
  3. Foglieni, B.; Brisci, A.; San Biagio, F.; Di Pietro, P.; Petralia, S.; Conoci, S.; Ferrari, M.; Cremonesi, L. Integrated PCR amplification and detection processes on a Lab-on-Chip platform: a new advanced solution for molecular diagnostics. Clin. Chem. Lab. Med. 2010, 48, 329–336. [Google Scholar] [CrossRef] [PubMed]
  4. Lee, J.R.; Magee, D.M.; Gaster, R.S.; LaBaer, J.; Wang, S.X. Emerging protein array technologies for proteomics. Expert Rev. Proteom. 2013, 10, 65–75. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Petralia, S.; Ventimiglia, G.; Ceschia, S.; Gasparin, M.; Verardo, R. A Novel Silver Coating for Antigen-Microarray Preparation Suitable for Application on Antibody Recognition. BioNanoScience 2017, 7, 449–455. [Google Scholar] [CrossRef]
  6. Chevelot, Y. Carbohydrate Microarray; Humana Press: New York, NY, USA, 2012. [Google Scholar]
  7. Yamamura, S.; Kishi, H.; Tokimitsu, Y.; Kondo, S.; Honda, R.; Rao, S.R.; Omori, M.; Tamiya, E.; Muraguchi, A. Single-Cell Microarray for Analyzing Cellular Response. Anal. Chem. 2005, 77, 8050–8056. [Google Scholar]
  8. Heller, M.J. DNA Microarray Technology: Devices, Systems, and Applications. Annu. Rev. Biomed. Eng. 2002, 4, 129–153. [Google Scholar] [CrossRef] [PubMed]
  9. Petralia, S.; Ventimiglia, G. Recent Advances in DNA Microarray Technology: An Overview on Production Strategies and Detection Methods. BioNanoScience 2013, 3, 428–450. [Google Scholar]
  10. Erickson, D.; O’ Dell, D.; Jiang, L.; Oncescu, V.; Gumus, A.; Lee, S.; Mancuso, M.; Mehta, S. Smartphone technology can be transformative to the deployment of lab-on-chip diagnostics. Lab Chip 2014, 14, 3159–3164. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Petralia, S.; Conoci, S. PCR Technologies for Point of Care Testing: Progress and Perspectives. ACS Sens. 2017, 2, 876–891. [Google Scholar] [CrossRef] [PubMed]
  12. Van Reenen, A.; de Jong, A.M.; den Toonder, J.M.J.; Prins, M.W.J. Integrated lab-on-chip biosensing systems based on magnetic particle actuation—A comprehensive review. Lab Chip 2014, 14, 1966–1986. [Google Scholar] [CrossRef] [PubMed]
  13. Petralia, S.; Verardo, R.; Klaric, E.; Cavallaro, S.; Alessia, E.; Schneider, C. In-check system: A highly integrated silicon lab-on-chip for sample preparation, PCR amplification and microarray detection of nucleic acids directly from biological samples. Sens. Actuators B Chem. 2013, 187, 99–105. [Google Scholar] [CrossRef]
  14. Petralia, S.; Sciuto, E.L.; Conoci, S. A Novel Miniaturized Biofilter based on Silicon Micropillars for Nucleic Acid Extraction. Analyst 2017, 142, 140–146. [Google Scholar] [CrossRef] [PubMed]
  15. García-Meca, C.; Lechago, S.; Brimont, A.; Griol, A.; Mas, S.; Sánchez, L.; Bellieres, L.; Losilla, N.S.; Martí, J. On-chip wireless silicon photonics: from reconfigurable interconnects to lab-on-chip devices. Light Sci. Appl. 2017, 6, e17053. [Google Scholar] [CrossRef] [PubMed]
  16. Schema, M. DNA Microarray: A Pratical Approach; Oxford University Press: Oxford, UK, 2002. [Google Scholar]
  17. Yang, G.; Gao, Y.; Lauren, K.W.; Georgiadis, R.M. Secondary structure effects on DNA hybridization kinetics: a solution versus surface comparison. Nucleic Acids Res. 2006, 34, 3370–3377. [Google Scholar]
  18. Giamblanco, N.; Conoci, S.; Russo, D.; Marletta, G. Single-Step Label-Free Hepatitis B Virus Detection by Piezoelectric Biosensor. RSC Adv. 2015, 5, 38152–38158. [Google Scholar] [CrossRef]
  19. Peterson, A.W.; Heaton, R.J.; Georgiadis, R.M. The effect of surface probe density on DNA hybridization. Nucleic Acids Res. 2001, 24, 5163–5168. [Google Scholar] [CrossRef]
  20. Grigorenko, E.V. DNA Arrays: Technologies and Experimental Strategies; CRC Press: Boca Raton, FL, USA, 2001. [Google Scholar]
  21. Callari, F.L.; Petralia, S.; Conoci, S.; Sortino, S. Light-triggered DNA release by dynamic monolayer film. New J. Chem. 2008, 32, 1899–1903. [Google Scholar] [CrossRef]
  22. Petralia, S.; Sciuto, E.L.; Di Pietro, M.L.; Zimbone, M.; Grimaldi, M.G.; Conoci, S. Innovative Chemical Strategy for PCR-free Genetic Detection of Pathogens by an Integrated Electrochemical Biosensor. Analyst 2017, 142, 2090–2093. [Google Scholar] [CrossRef] [PubMed]
  23. Hien, L.T.; Quynh, L.K.; Huyen, V.T.; Tu, B.D.; Hien, N.T.; Phuong, D.M.; Nhung, P.H.; Giang, D.T.H.; Duc, N.H. DNA-magnetic bead detection using disposable cards and the anisotropic magnetoresistive sensor. Adv. Nat. Sci. Nanosci. Nanotechnol. 2016, 7. [Google Scholar] [CrossRef]
  24. Sortino, S.; Petralia, S.; Condorelli, G.G.; Conoci, S.; Condorelli, G. Novel photoactive self-assembled monolayer for immobilization and cleavage of DNA. Langmuir 2003, 19, 536–539. [Google Scholar] [CrossRef]
  25. Guo, W.; Cui, Y.; Zhao, W.; Gu, C. Ultrasensitive Label-Free DNA Detection Using Cantilever of Atomic Force Microscope Amplified by Gold Nanoparticles. Sens. Lett. 2016, 14, 54–58. [Google Scholar]
  26. Conoci, S.; Mascali, A.; Pappalardo, F. Synthesis, DNA binding properties and electrochemistry to an electrode-bound DNA of an novel anthracene-viologen conjugate. RSC Adv. 2014, 4, 2845–2850. [Google Scholar] [CrossRef]
  27. Zhao, Y.L.; Gaur, G.; Retterer, S.T.; Laibinis, P.E.; Weiss, S.M. Flow-through porous silicon membranes for real-time label-free biosensing. Anal. Chem. 2016, 88, 10940–10948. [Google Scholar] [CrossRef] [PubMed]
  28. Libertino, S.; Conoci, S.; Scandurra, A.; Spinella, C. Biosensor integration on Si-based devices: feasibility studies and examples. Sens. Actuators B 2013, 179, 240–251. [Google Scholar] [CrossRef]
Figure 1. (a) ssDNA microarray layout for optical characterization containing different concentrations of Cy5-labelled oligo P1 A = 0.1 µM; B = 0.01 µM; and C = 0.001 µM; (b) ssDNA microarray layout for probe density characterization containing different concentration of Cy5-labelled oligo P1 A = 5000 F/µm2, B = 2000 F/µm2, C = 1000 F/µm2, D = 800 F/µm2, E = 500 F/µm2, F = 300 F/µm2, G = 100 F/µm2, H = 50 F/µm2, I = 25 F/µm2, and L = 10 F/µm2; (c) ssDNA microarray layout for analytical performances: P1 = P1 probe; P2 = P2 probe; E = empty position.
Figure 1. (a) ssDNA microarray layout for optical characterization containing different concentrations of Cy5-labelled oligo P1 A = 0.1 µM; B = 0.01 µM; and C = 0.001 µM; (b) ssDNA microarray layout for probe density characterization containing different concentration of Cy5-labelled oligo P1 A = 5000 F/µm2, B = 2000 F/µm2, C = 1000 F/µm2, D = 800 F/µm2, E = 500 F/µm2, F = 300 F/µm2, G = 100 F/µm2, H = 50 F/µm2, I = 25 F/µm2, and L = 10 F/µm2; (c) ssDNA microarray layout for analytical performances: P1 = P1 probe; P2 = P2 probe; E = empty position.
Sensors 18 03138 g001
Figure 2. A-MA Substrate Multilayer structure for fluorescence enhancment.
Figure 2. A-MA Substrate Multilayer structure for fluorescence enhancment.
Sensors 18 03138 g002
Figure 3. (a) Reflectance Spectra substrates with SiO2 thicknesses ranging between 770 nm and 925 nm; (b) R% values at the first interference maximum and minimum.
Figure 3. (a) Reflectance Spectra substrates with SiO2 thicknesses ranging between 770 nm and 925 nm; (b) R% values at the first interference maximum and minimum.
Sensors 18 03138 g003
Figure 4. Microarray layout containing different concentration of P1-Cy5 labeled probes: 0.1 µM; 0.01 µM and 0.001 µM.
Figure 4. Microarray layout containing different concentration of P1-Cy5 labeled probes: 0.1 µM; 0.01 µM and 0.001 µM.
Sensors 18 03138 g004
Figure 5. (a) P1 Cy5-probe fluorescence intensities versus SiO2 thickness and (b) linear correlation between the Cy5-probe density (fluorophores/µm2) versus the fluorescence signal intensity (Y = −140.7 + 30.35X; R2 = 0.994).
Figure 5. (a) P1 Cy5-probe fluorescence intensities versus SiO2 thickness and (b) linear correlation between the Cy5-probe density (fluorophores/µm2) versus the fluorescence signal intensity (Y = −140.7 + 30.35X; R2 = 0.994).
Sensors 18 03138 g005
Figure 6. Scheme of chemical process: (a) plasma-O2 cleaning and activation, (b) epoxy-silanization, (c) capture probe spotting and anchoring, and (d) BSA passivation process.
Figure 6. Scheme of chemical process: (a) plasma-O2 cleaning and activation, (b) epoxy-silanization, (c) capture probe spotting and anchoring, and (d) BSA passivation process.
Sensors 18 03138 g006
Figure 7. (a) Fluorescence image of a panel containing 10 concentrations (5000–10 F/µm2) of P1 Cy5 DNA-probe (image acquired by Optical Reader (2000 ms)) and (b) calibration curve of signal fluorescence intensities versus Cy5-labeled oligoprobes concentration (F/µm2).
Figure 7. (a) Fluorescence image of a panel containing 10 concentrations (5000–10 F/µm2) of P1 Cy5 DNA-probe (image acquired by Optical Reader (2000 ms)) and (b) calibration curve of signal fluorescence intensities versus Cy5-labeled oligoprobes concentration (F/µm2).
Sensors 18 03138 g007
Figure 8. (a) Foreground Median Hybridization signal for P1 at various Cy5-target concentration. Inset: the linearity range (Y = 267 + 17702.2X; R2 = 0.9985) and (b) Foreground Median Hybridization signal for P2 at various Cy5-target concentration. Inset: the linearity range (Y = 270 + 17882.7X; R2 = 0.9981).
Figure 8. (a) Foreground Median Hybridization signal for P1 at various Cy5-target concentration. Inset: the linearity range (Y = 267 + 17702.2X; R2 = 0.9985) and (b) Foreground Median Hybridization signal for P2 at various Cy5-target concentration. Inset: the linearity range (Y = 270 + 17882.7X; R2 = 0.9981).
Sensors 18 03138 g008
Table 1. Probe Density Values (F/µm2) for Cy5-labeled P1 and P2 probes.
Table 1. Probe Density Values (F/µm2) for Cy5-labeled P1 and P2 probes.
Probe.Fluorescence (a.u.)Probe Densities (F/µm2)
Cy5-P132300 ± 15001815 ± 120
Cy5-P134620 ± 21002020 ± 150

Share and Cite

MDPI and ACS Style

Petralia, S.; Vicario, N.; Calabrese, G.; Parenti, R.; Conoci, S. An Advanced, Silicon-Based Substrate for Sensitive Nucleic Acids Detection. Sensors 2018, 18, 3138. https://doi.org/10.3390/s18093138

AMA Style

Petralia S, Vicario N, Calabrese G, Parenti R, Conoci S. An Advanced, Silicon-Based Substrate for Sensitive Nucleic Acids Detection. Sensors. 2018; 18(9):3138. https://doi.org/10.3390/s18093138

Chicago/Turabian Style

Petralia, Salvatore, Nunzio Vicario, Giovanna Calabrese, Rosalba Parenti, and Sabrina Conoci. 2018. "An Advanced, Silicon-Based Substrate for Sensitive Nucleic Acids Detection" Sensors 18, no. 9: 3138. https://doi.org/10.3390/s18093138

APA Style

Petralia, S., Vicario, N., Calabrese, G., Parenti, R., & Conoci, S. (2018). An Advanced, Silicon-Based Substrate for Sensitive Nucleic Acids Detection. Sensors, 18(9), 3138. https://doi.org/10.3390/s18093138

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop