Literature DB >> 34826219

Role of Order in the Mechanism of Charge Transport across Single-Stranded and Double-Stranded DNA Monolayers in Tunnel Junctions.

Nipun Kumar Gupta1,2, Edward A Wilkinson3, Senthil Kumar Karuppannan1, Lily Bailey3, Ayelet Vilan4, Ziyu Zhang1, Dong-Chen Qi5, Anton Tadich6, Eimer M Tuite7, Andrew R Pike7, James H R Tucker3, Christian A Nijhuis1,2,8.   

Abstract

Deoxyribonucleic acid (DNA) has been hypothesized to act as a molecular wire due to the presence of an extended π-stack between base pairs, but the factors that are detrimental in the mechanism of charge transport (CT) across tunnel junctions with DNA are still unclear. Here we systematically investigate CT across dense DNA monolayers in large-area biomolecular tunnel junctions to determine when intrachain or interchain CT dominates and under which conditions the mechanism of CT becomes thermally activated. In our junctions, double-stranded DNA (dsDNA) is 30-fold more conductive than single-stranded DNA (ssDNA). The main reason for this large change in conductivity is that dsDNA forms ordered monolayers where intrachain tunneling dominates, resulting in high CT rates. By varying the temperature T and the length of the DNA fragments in the junctions, which determines the tunneling distance, we reveal a complex interplay between T, the length of DNA, and structural order on the mechanism of charge transport. Both the increase in the tunneling distance and the decrease in structural order result in a change in the mechanism of CT from coherent tunneling to incoherent tunneling (hopping). Our results highlight the importance of the interplay between structural order, tunneling distance, and temperature on the CT mechanism across DNA in molecular junctions.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 34826219      PMCID: PMC8662729          DOI: 10.1021/jacs.1c09549

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


Introduction

Deoxyribonucleic acid (DNA) has been hypothesized to act like a molecular wire due to the presence of a π-stack[1,2] and, therefore, can have potential applications in DNA-based computing[3−6] and switches.[7,8] To realize these goals, it is important to establish the mechanisms of charge transport (CT) across DNA in solid-state devices, but such studies are challenging and have in the past resulted in controversial results.[1] A key reason for the controversy is that many of the studies have assumed that the DNA molecules exist in a stretched conformation inside tunnel junctions, but, in reality, DNA is highly flexible in nature and, therefore, likely forms disordered structures. In addition, most studies have been based on rather invasive single-molecule techniques which suffer from poor reproducibility, where it is challenging to ascertain the conformation of the DNA or how the DNA molecules interact or connect with the electrodes. This paper describes the mechanism of charge transport across disordered monolayers of single-stranded DNA (ssDNA) and ordered monolayers of double-stranded DNA (dsDNA) supported by ultraflat Au electrodes in contact with large-area noninvasive EGaIn electrodes (see Figure , EGaIn is an eutectic alloy of Ga and In) as a function of the number of base pairs (n = 15, 20, 25, and 30) and temperature (T = 150–330 K). The advantage of this approach is that the DNA molecules are preorganized in monolayers whose structure can be verified using independent techniques prior to the fabrication of the well-known, noninvasive EGaIn top contact.[9,10] The tunneling rates across junctions with dsDNA are 30 times higher than those junctions with ssDNA. This difference in conductivity is mainly due to the formation of highly ordered dsDNA self-assembled monolayers (SAMs) along which charges can efficiently tunnel coherently. This is in stark contrast to disordered ssDNA SAMs where charges have to tunnel incoherently between and along DNA chains. Our results help to improve our understanding of CT rates across DNA fragments and especially how (dis)order affects the observed tunneling efficiencies.
Figure 1

(A) Schematic representation of the Au-linker-ssDNA15-Fc//GaO/EGaIn junction where incoherent tunneling dominates CT: intra (red) and inter (black) hopping is indicated by the curved arrows. (B) Schematic representation of the Au-linker-dsDNA15-Fc//GaOx/EGaIn junction, where the mechanism of CT is coherent tunneling represented by a green arrow. Here, “//” represents a van der Waals contact, “/” represents the contact between the GaO and EGaIn, and “-” represents a chemical contact.

(A) Schematic representation of the Au-linker-ssDNA15-Fc//GaO/EGaIn junction where incoherent tunneling dominates CT: intra (red) and inter (black) hopping is indicated by the curved arrows. (B) Schematic representation of the Au-linker-dsDNA15-Fc//GaOx/EGaIn junction, where the mechanism of CT is coherent tunneling represented by a green arrow. Here, “//” represents a van der Waals contact, “/” represents the contact between the GaO and EGaIn, and “-” represents a chemical contact. The various mechanisms of CT across DNA can be broadly divided into coherent tunneling (which is essentially independent of temperature) and incoherent tunneling (which is thermally activated and is also called hopping). The measured current density (J, in A/cm2) in the coherent tunneling regime for tunneling through a barrier of width d (in nm) is described by the general tunneling equation (eq )where J0 is the pre-exponential factor and β is the tunneling decay coefficient (in nm–1). CT in the hopping regime for overbarrier transport with activation energy (Ea, in eV) is described by the Arrhenius equation (eq )where kB is the Boltzmann constant, A is the pre-exponential factor, and T is the absolute temperature (in K). The measured current is likely the summation of several contributions involving both activationless and thermally activated components depending on d and T, where the observed J (Jobs)[11,12] is given by eq At sufficiently high T and large d, the second term likely dominates, but at low T and small values of d the first term is likely to dominate. In this work, we show that structural order is also important to consider where the first term dominates CT for ordered structures but the second term dominates CT for tunneling across disordered structures at a given T and d. CT has been studied across various secondary structures of DNA, including the canonical B-form and G-quadruplex,[13] as well as its analogues, such as peptide nucleic acid (PNA)[13] in solution and in solid-state tunnel junctions. Most solution-state studies suggest that short DNA and PNA strands (both ss and ds) undergo charge transfer with a high β, suggesting a superexchange mechanism (β = 0.6–1.0 Å–1) that dominates charge transfer.[14−16] In contrast, long dsDNA strands undergo charge transfer with a low β (β ∼ 0.1 Å–1), which suggests that charge transfer is dominated by hopping.[14,15,17−19] Recent CT studies have shown that CT across SAMs of G-quadruplex DNA proceeds by hopping for d = 20–70 nm.[20] Interestingly, Xiang et al.[21] reported that resistance increases linearly with the length as expected for incoherent tunneling, but they also observed oscillations in the resistance for a dsDNA stack with alternating segments of G and C. This implies that CT proceeds at least partially coherently across the base pairs along the length of the DNA strand in single-molecule break junctions with stacked G-C base pairs. A periodic oscillation caused by the number of G units superimposed on the linear length dependence was observed, which was attributed to a combination of coherent and incoherent tunneling across the dsDNA junctions. Venkatramani et al.[18] also observed a combination of coherent and incoherent tunneling in dsPNA in solution with electrochemical junctions. The charge transfer rates measured in their experiments cannot be explained by a coherent superexchange (a form of long-range coherent tunneling) or hopping mechanism alone, with simulations suggesting a combination of coherent superexchange and hopping models in the near-resonant limit. These studies, however, lack temperature-dependent CT characterization, which is needed to discriminate between coherent (eq ) and incoherent tunneling (eq ). The redox potentials of the individual nucleotides usually fall outside the electrochemical window. Therefore, often solution-state charge transfer across DNA is studied by tethering a redox unit, such as ferrocene (Fc),[22−24] methylene blue,[25,26] Nile Blue,[27] or daunomycin,[28] to the termini of DNA strands to facilitate charge injection. These studies have demonstrated that charge transfer occurs through the π-stack and not the sugar–phosphate backbone,[28,29] highlighted the deleterious effect of a base-pair mismatch in charge transfer rates across DNA due to perturbation of the π-stack,[27,29] and explored charge transfer in lengths of up to 34 nm in DNA wires.[27] In addition, the characterization of DNA monolayers is facilitated by the presence of a redox-active tagas, for instance, it can be detected electrochemically from which the surface coverage (Γ, in mol/cm2) can be quantified. Studies of CT across DNA in tunnel junctions have attempted to resolve the question of whether dsDNA or ssDNA has a larger electrical conductivity. In principle, the π-stack of dsDNA can provide a conduction channel that is absent in ssDNA and hence dsDNA should be more conductive than ssDNA.[1] This assumption has been confirmed in several studies,[21,30−34] but an exception exists where the opposite conclusion was reached based on findings obtained from only one junction.[35] In support of dsDNA being more conducting, perturbation of the π-stack has a deleterious effect on the CT rates in dsDNA tunnel junctions.[35,36] However, systematic studies as a function of the number of base pairs (or d) or temperature are lacking, and the role of structure order has not been identified. For example, most studies involving charge transfer rates (determined electrochemically) use surface coverages of DNA SAMs in the range of 10–12 −10–11 mol/cm2,[18,22,24,26,28,37] which is well below the theoretical maximum surface coverage of ∼3.4 × 10–10 mol/cm2.[38] Many of these monolayers are likely composed of disordered regions with the molecules in the lying-down phase.[39,40] The conformation of DNA in single-molecule tunnel junctions, and how it interacts with the electrodes is usually unknown. This lack of control along with a lack of systematic studies as a function of the number of base pairs and temperature, complicate the interpretation of results obtained from molecular tunnel junctions with DNA.[21,30,41] An exception to the limitations of these investigations are the studies by Porath and co-workers who were able to image single DNA strands followed by J(V) and J(V,T) measurements using a conductive probe technique (but these studies rely on a low number of junctions due to the complexity of their experiments).[20,42] Herein, we found that dsDNA is at least 30-fold more conductive than ssDNA in tunnel junctions based on SAMs of DNA supported by Au electrodes and in contact with EGaIn top electrodes. The DNA strands were functionalized with Fc at one terminus to facilitate charge injection and with a thiol group at the other to facilitate SAM formation on Au electrodes. The SAMs of dsDNA are well-packed and show a transition from activationless coherent tunneling to thermally activated incoherent tunneling as a function of d (by changing the number of base-pairs) due to efficient CT involving tunneling along the π-stack. In stark contrast, ssDNA forms disordered SAMs and CT along ssDNA proceeds by thermally activated tunneling for all investigated d, indicating that interchain hopping limits the observed CT rates. Our study illustrates the importance of structural order in (bio)molecular wires and helps to resolve, at least partially, the discrepancies in earlier studies.

Results and Discussion

Description of the Junctions

Figure shows a schematic representation of the Au-linker-DNA-Fc//GaO/EGaIn junctions, where the DNA is attached at its 3́́́́' end to the Au surface via a metal thiolate bond (the −S–(CH2)3–O–(CH2)2–PO4–− linker) and at its 5' end to the Fc tag via a −(CH2)3–PO4–− linker. The EGaIn represents the top electrode (EGaIn = eutectic alloy of Ga and In, 3:1 ratio by weight), and the bottom electrode is an ultraflat template stripped Au surface (the experimental methods are described in the Supporting Information). We synthesized the ferrocene-modified ssDNA and their complementary strands as per reported procedures using phosphoramidite chemistry (see sections S1 and S2).[43,44] To study CT across the DNA monolayers as a function of d, we prepared DNA with four different sequence lengths as indicated by the total base number, n = 15, 20, 25, and 30, where the 30-mer DNA is two repeats of the 15-mer. Although we considered that there would be no issue in investigating any DNA sequence using this technique, in choosing these particular DNA base sequences (presented in Table S2), we ensured that (i) there would be limited scope for intramolecular folding via base pairing (which might otherwise be an issue for junctions with ssDNA), (ii) the smallest 15-mer sequence (which is then extended in steps of 5 bases up to a complete repeat in the 30-mer) would contain roughly equal amounts of purines and pyrimidines, and (iii) no one base would be the same beyond a run of two bases in any of the strands investigated. Figure shows schematically that the junctions with ssDNA (henceforward the subscript n indicates the number of bases) suffer from disorder while those junctions with dsDNA are well-ordered; this difference in order has a substantial influence on the mechanism of CT as discussed in detail below.

DNA Monolayer Characterization with Cyclic Voltammetry (CV)

Solutions of ssDNA and their complementary strands were prepared by dissolving the purified DNA in aqueous buffers (see section S3 for details). We used template-stripped Au substrates to form the SAMs as template-stripping produces smooth bottom electrodes with minimal defects; these surfaces result in tunnel junctions with low leakage currents (induced by defects) and higher reproducibility as compared to as-deposited metal electrodes (see section S3.3 for details).[45,46] SAMs of ssDNA on Au surfaces by incubation of Au substrates in aqueous buffered ssDNA solutions for 2 h under ambient conditions. Each ssDNA SAM on Au was immersed in an aqueous buffered solution with its complementary strand at 70 °C for 10 min to obtain the corresponding dsDNA SAM on Au (see section S3.4 for details). We characterized the SAMs with CV as the Fc tags are redox-active, thus allowing us to quantify the surface coverage of the Fc units (Γ in mol/cm2; see section S3.5 for experimental details). In addition, the CV data can resolve whether the Fc units are primarily located at top of the SAMs (as expected for ordered SAMs) or are buried within the SAM (as expected for disordered SAMs) since the latter may result in a prepeak.[47−50]Figure shows representative cyclic voltammograms for monolayers of ssDNA and dsDNA on Au with n = 15, 20, 25, and 30, and Table S3 summarizes the electrochemical parameters over three separate experiments. Figure A shows that the CV of ssDNA15 SAMs consists of two peaks with the first peak oxidation potential at Epa,I = 125 mV. This peak indicates regions in the monolayers where the Fc units are bent back into the SAM (back bending) and may be in close contact with the Au electrode, or it indicates disordered regions with the molecules in the flat-lying phase.[47,50] Given the large Γ of both types of SAMs (see below), we believe that the prepeak is caused by back bending. The second peak dominates the CV at Epa,II = 425 mV which is close to the oxidation potential typically encountered for Fc.[47,50] In contrast, for SAMs of dsDNA15, we observe a single oxidation peak at Epa = 417 mV. These observations suggest that a considerable amount of a disordered phase is present in the ssDNA15 SAM, and, thus, that the hybridization reduces the disorder considerably in the dsDNA. We obtained Γ by integration of the peak area which reveals that dsDNA15 (2.23 ± 0.32 × 10–10 mol/cm2) has a 40% lower Γ than that of the ssDNA15 SAM (3.71 ± 0.17 × 10–10 mol/cm2). The observed lower Γ of dsDNA is consistent with our expectations as dsDNA has a larger surface volume as compared to ssDNA.[22,51−53] The Γ values for ssDNA SAMs are comparable to those of Fc alkanethiolates,[54] and the estimated maximum Γ for ssDNA is similar to the theoretically calculated maximum Γ of ∼3.4 × 10–10 mol/cm2.[38] The DNA SAMs with n = 20, 25, and 30, behave similarly. Therefore, we conclude that we formed one of the densest SAMs of DNA reported in the literature.
Figure 2

Representative cyclic voltammograms for SAMs of Fc terminated ssDNA (green) and dsDNA (blue) (n = (A) 15, (B) 20, (C) 25, and (D) 30) on Au, recorded against a Ag/AgCl reference electrode with aqueous 1.0 M NaClO4 and 10 mM NaH2PO4 at pH 8.0 as the electrolyte at a scan rate of 1.0 V/s. The peak oxidation and reduction potentials are denoted in the respective colors.

Representative cyclic voltammograms for SAMs of Fc terminated ssDNA (green) and dsDNA (blue) (n = (A) 15, (B) 20, (C) 25, and (D) 30) on Au, recorded against a Ag/AgCl reference electrode with aqueous 1.0 M NaClO4 and 10 mM NaH2PO4 at pH 8.0 as the electrolyte at a scan rate of 1.0 V/s. The peak oxidation and reduction potentials are denoted in the respective colors.

DNA Monolayer Characterization with Photoelectron Spectroscopy

We further characterized the ssDNA and dsDNA SAMs with angle-resolved X-ray photoelectron spectroscopy (AR-XPS) to establish the quality of the SAMs from the S 2p spectra (the experimental details are given in section S3.6). For the sake of completion, Figures S13–S17 show the Au 4f, C 1s, O 1s, N 1s, P 2p and S 2p spectra, at normal emission (NE) and grazing emission (GE), and the peak assignments were taken from Vilar et al.[55] In general, in S 2p spectra recorded from thiolate SAMs, often two peaks can be observed with peak S1 corresponding to the chemisorbed S–Au bond at ∼162.0 eV and peak S2 corresponding to physisorbed S at ∼163.2 eV.[45]Figure S18A shows the S 2p spectra recorded at NE and GE for ssDNA15 which are dominated by the S1 peak along with a small contribution from S2. Peak S2 is more intense at GE than at NE, which suggests that most of the physisorbed sulfur is present on the SAM. Similar observations were made for all the other ssDNA and dsDNA SAMs. We note that no S 2p signal was detected for dsDNA30 at GE which we attribute to strong signal attenuation by the thick layer of dsDNA. These XPS results confirm that the DNA monolayer is anchored to the Au surface via Au–S bonds.

DNA SAM Thickness Determination

We estimated the thickness of the ssDNA and dsDNA SAMs with ellipsometry (see section S3.7 for experimental details). Figure shows the measured thickness for ssDNA and dsDNA SAMs as a function of n. We observe that, for ssDNA, the thickness does not vary as a function of n, suggesting that the ssDNA SAMs suffer from significant disorder, in agreement with the CV results described earlier and in literature reports.[37,56] In contrast, for dsDNA SAMs, we observe a monotonous increase in the thickness as a function of n. Interestingly, the thickness of the dsDNA15 SAM is smaller than that of the ssDNA15 SAM. This observation can be explained since the formation of the dsDNA helix upon hybridization reduces the length of the DNA fragments relative to the random coil structure adopted by ssDNA.[57] We conclude that ssDNA SAMs on Au are disordered[16,17,37,39,40] and hybridization induces order due to the formation of the π-stack, in agreement with findings reported by others.[17]
Figure 3

Thickness of the ssDNA and dsDNA SAMs on Au as a function of n determined with ellipsometry; error bars represent the standard deviation obtained from 3–5 independent measurements on different samples. The dashed lines are visual guides.

Thickness of the ssDNA and dsDNA SAMs on Au as a function of n determined with ellipsometry; error bars represent the standard deviation obtained from 3–5 independent measurements on different samples. The dashed lines are visual guides.

J(V) Characterization for ssDNA and dsDNA SAMs

We performed length-dependent J(V) measurements for the Au-linker-DNA-Fc//GaO/EGaIn junctions with cone-shaped EGaIn tips as a top-contact as a function of the number of base pairs indicated by the subscript n. The fabrication of the cone–tip junctions, statistical data collection, and data analysis were performed following previously reported procedures (see section S3.8 for details).[58]Figures S14 and S15 show the histograms of log|J| at ±1.0 V for all junctions along with a Gaussian fit to these histograms to determine the Gaussian average of log|J| (⟨log|J|⟩G), the Gaussian log-standard deviation (σlog,G), and the 95% confidence levels. Figure A and B shows the corresponding ⟨log|J|⟩G vs V curves which were measured at ambient conditions (T = 298 K). Figure C shows that the value of ⟨log|J|⟩G at −1.0 V as a function of n for junctions with ssDNA does not follow a clear trend. In contrast, Figure D shows the same results but for junctions with dsDNA where ⟨log|J|⟩G follows a clear exponential decay with n. Fitting the data to eq yields β = 0.43 ± 0.02 nm–1. The small observed asymmetry in the J(V) curves is attributed to the GaO layer or other asymmetries present in the junctions.[59] This rather different behavior can be explained by the results described above indicating that ssDNA forms disordered monolayers that fold back on themselves while the dsDNA monolayers are ordered. Therefore, the values of ⟨log|J|⟩G determined with ssDNA junctions lack a clear length dependency.
Figure 4

Plots of ⟨log|J|⟩G vs V for (A) Au-linker-ssDNA-Fc//GaO/EGaIn and (B) Au-linker-dsDNA-Fc//GaO/EGaIn. Error bars represent 95% confidence bands. (C) Plot of ⟨log|J|⟩G at −1.0 V vs the number of ssDNA base pairs and (D) plot of ⟨log|J|⟩G at −1.0 V vs ellipsometry thickness of Au-linker-dsDNA-Fc SAM. The solid line represents a fit to eq , y-axis error bars represent the 95% confidence intervals. x-Axis error bars represent the standard deviation for 3–5 independent measurements. All measurements are recorded at ambient temperature (T = 298 K).

Plots of ⟨log|J|⟩G vs V for (A) Au-linker-ssDNA-Fc//GaO/EGaIn and (B) Au-linker-dsDNA-Fc//GaO/EGaIn. Error bars represent 95% confidence bands. (C) Plot of ⟨log|J|⟩G at −1.0 V vs the number of ssDNA base pairs and (D) plot of ⟨log|J|⟩G at −1.0 V vs ellipsometry thickness of Au-linker-dsDNA-Fc SAM. The solid line represents a fit to eq , y-axis error bars represent the 95% confidence intervals. x-Axis error bars represent the standard deviation for 3–5 independent measurements. All measurements are recorded at ambient temperature (T = 298 K). By comparing the J(V) characteristics of ssDNA and dsDNA for identical values of n, we find that dsDNA is more conductive than ssDNA. For instance, values of J for dsDNA at V = −1.0 V are 31–74 times larger than those values of J for ssDNA. This finding is in agreement with previous reports where a 25–40 times higher conductance of dsDNA than ssDNA has been reported across single-molecule tunnel junctions.[34]

Temperature-Dependent J(V,T) Measurements

To investigate the mechanism of CT across the DNA junctions, we formed junctions with EGaIn stabilized in polymer-based microchannels perpendicularly aligned over Au strips supporting SAMs of the DNA that are described in detail in the Supporting Information (see section S3.9). As explained above, coherent (eq ) and incoherent tunneling (eq ) are characterized by distinctly different temperature, length, and voltage dependencies. To elucidate the dominant CT mechanism for each junction type, we performed J(V,T) measurements for the two extreme lengths (n = 15 and 30) for both ssDNA- and dsDNA-based junctions across T = 150–340 K, though the T ranges vary for dsDNA due to the calculated melting of dsDNA15 at 312 K and of dsDNA30 at 335 K, above which temperatures the junction conductance changed significantly (see the Supporting Information for details of melting point calculations). Figures and 6A show a summary of this analysis and the full data set is given in section S3.9). Figure A–D shows the J normalized with the J measured at the lowest T at which CT was measured. The effect of T on J is significantly larger across junctions of ssDNA (Figure A,B, 2–3-fold) than for dsDNA (Figure C,D, <2-fold). The effect of T on J also depends on n: junctions with n = 30 are more sensitive to T than those junctions with n = 15. For instance, junctions with ssDNA30 (Figure B) were the most temperature-sensitive junctions while CT rates across dsDNA15 (Figure C) are practically T-independent (except for minute temperature-enhancement at positive voltage). It is evident that the temperature effect is active only at high T, while CT rates are practically constant at low T, as was previously observed in protein junctions.[12,60] This behavior can be qualitatively assigned to a transition from activationless tunneling (eq ) at low T to temperature-activated hopping (eq ) at elevated T.
Figure 5

Variation of current with temperature on a linear scale (A–D) and as an Arrhenius plot (E–H), for shortest and longest Au-linker-DNA-Fc//GaO/EGaIn tunnel junctions, consisting of ssDNA15 (A, E), ssDNA30 (B, F), dsDNA15 (C, G), and dsDNA30 (D, H). Each trace shows the current at a fixed voltage over a temperature range of (340 to 160 K); for clarity, only four voltage values are shown (see legend in panel B). The entire data set is given in section S3.9. To emphasize temperature variations (cf. much larger voltage effect), the linear plots (A–D) show the current divided by its low T value (I(T)/I), and therefore, all traces start at 1. Similarly, ln(J) traces (E–H) are arbitrarily vertically shifted and factorized to give slope units in meV (ΔY/ΔX corresponds to 1 meV slope). The ±1 V traces were twice-fitted to eq for high and low temperatures, separately (dotted lines, E–H); the crossing of the two lines is the transition temperature, TC, stated in each panel. The extracted slope value (∼Ea, in meV) of the high T range is also given in the plots. The same raw data is used for the top and bottom panels; each current value is the average of 4 values measured during two consecutive 0 V → + 1 V → −1 V → 0 V loop-scans at a fixed temperature.

Figure 6

J length attenuation for ssDNA (A,B) and dsDNA (C,D), showing the J15/J30 ratio between the current over 15-long relative to 30-long bases (base-pairs): (A,C) as a function of temperature (X-axis) at four selected voltage values and (B, D) as a function of voltage (X-axis) at three selected temperature values.

Variation of current with temperature on a linear scale (A–D) and as an Arrhenius plot (E–H), for shortest and longest Au-linker-DNA-Fc//GaO/EGaIn tunnel junctions, consisting of ssDNA15 (A, E), ssDNA30 (B, F), dsDNA15 (C, G), and dsDNA30 (D, H). Each trace shows the current at a fixed voltage over a temperature range of (340 to 160 K); for clarity, only four voltage values are shown (see legend in panel B). The entire data set is given in section S3.9. To emphasize temperature variations (cf. much larger voltage effect), the linear plots (A–D) show the current divided by its low T value (I(T)/I), and therefore, all traces start at 1. Similarly, ln(J) traces (E–H) are arbitrarily vertically shifted and factorized to give slope units in meV (ΔY/ΔX corresponds to 1 meV slope). The ±1 V traces were twice-fitted to eq for high and low temperatures, separately (dotted lines, E–H); the crossing of the two lines is the transition temperature, TC, stated in each panel. The extracted slope value (∼Ea, in meV) of the high T range is also given in the plots. The same raw data is used for the top and bottom panels; each current value is the average of 4 values measured during two consecutive 0 V → + 1 V → −1 V → 0 V loop-scans at a fixed temperature. J length attenuation for ssDNA (A,B) and dsDNA (C,D), showing the J15/J30 ratio between the current over 15-long relative to 30-long bases (base-pairs): (A,C) as a function of temperature (X-axis) at four selected voltage values and (B, D) as a function of voltage (X-axis) at three selected temperature values. Another prominent observation from Figure is that the T effect changes as a function of the applied V. This effect is most prominent for ssDNA30 (Figure B), where the T-effect is even inverted for opposite bias polarity: CT rates increase with T for negative V but decrease at positive V and have a minimal effect at moderate V. For dsDNA30 (Figure D), the CT rates increase with increasing T at any V, yet the net change decreases with positive V (the +1 V (red) trace in Figure D is the lowest). Thus, these two junctions follow a similar qualitative trend. In contrast, junctions with ssDNA15 (Figure A) show the most complicated behavior where the CT rates generally increase with T at a rate proportional to V, except for the highest V (+1 V, red trace, Figure A), where this trend abruptly inverts at ∼300 K. To elucidate in more detail how both V and T affect the CT rates, we analyzed the Arrhenius plots of the same data (Figure E–H) where the ln J traces are vertically shifted to align with their minimal values to focus on the T effect (cf. V). To identify the transition temperature, TC, between activationless to activated CT, we fitted the data to eq over high and low T values and assigned the crossing of the two linear fits to TC.[12] The extracted TC values (see in-plot labels) are between 230 and 280 K and are slightly higher than what was observed in junctions of azurin (∼200 K).[12,60] Considering the total J as a summation of tunneling and hopping channels (eq ), a higher TC implies that coherent tunneling persists up to higher T: for ssDNA TC ≅ 235 K compared to ∼260 K for dsDNA. Incoherent tunneling is also less likely under negative bias polarity as TC(−1 V) ≈ TC(+1 V) + 10 K. The interplay between T and V effects on the CT rates implies that an applied V modulates the Ea of eq . There are two principal scenarios for the V effect: it can (a) shift the energy alignment between the molecule and the electrodes or (b) reduce the energy gap between neighbor hopping sites along the molecular skeleton; hopping over the contact (a) is expected to be asymmetric and preserve the V polarity, while the V effect on hopping along the molecular skeleton (b) is facilitated by the absolute electric field, regardless of voltage polarity. The net effectiveEa can be extracted from the slope of the Arrhenius plot:where the effective Ea,eff is the summation of an intrinsic value, Ea, and V dependency, δV, either preserving polarity (top equation of 4, contact-hopping) or an absolute effect (bottom equation of 4, multiple-sites hopping). The δ factor reflects the partial V drop on each hopping site: for multiple hopping over N-consecutive sites, , |V|, while for a single electrode to the molecule hopping δ is the fractional voltage drop on the hopping-interface. The Ea,eff values extracted from fit slopes (high T only) are shown as labels in Figure E–H. They show that Ea,eff decreases as the V becomes more positive in all cases except ssDNA15 (Figure E). A full Ea,eff analysis is given in section S3.9. The reduction in Ea,eff was most prominent for ssDNA30 (Figure F and section S3.9), where Ea,eff becomes negative (observed positive slope), providing a strong indication that the hopping (or T-activated step) relates to the injection of carriers from the electrode into the DNA and not to CT along with the ∼5 nm thick DNA film. The shortest ssDNA (ssDNA15, Figure E and section S3.9) is the only DNA strand where Ea,eff increased with |V| for both bias polarities, i.e., against the trivial expectation that an external field reduces the Ea,eff. However, the net Ea,eff values for this DNA were not high (15–40 meV), and the behavior becomes even more complicated at +1 V (red trace) with a second transition into an inverted dependency. The extracted Ea,eff values confirm the qualitative observation that CT across ssDNA30 is the most “hopping-dominated” of DNA junctions investigated, with an Ea,eff reaching 100 meV. The junctions of ssDNA15 and dsDNA30 exist in the intermediate regime with Ea,eff up to ∼40 meV, and the dsDNA15 (Figure G) does show high slopes but they are limited to a very small T-range and, therefore, could reflect noise. Inserting Ea,eff values (see the Supporting Information for complete set) in eq , we can estimate the equilibrium Ea ≃ 30–60 meV and δ ≃ 0.02–0.07. Figure and eq show that the value of Ea increases with V as a function of the polarity. We have reported a similar behavior in three-terminal single-molecule devices containing redox-active molecules with ferrocene moieties in the Coulomb blockade regime.[61] For these reasons, we suggest that the DNA junctions transition from a regime that resembles a resonant tunneling regime to a regime that most likely resembles Coulomb blockade (where charges reside on the molecule, or hopping regime), where the current increases exponentially with the T. Alternatively, this kind of anomalous behavior has also been observed in junctions transiting into the inverted Marcus regime.[62] The temperature-independent CT in junctions with double-stranded DNA agrees with former findings by van Zalinge et al.,[41] albeit over a smaller T range of 295–333 K and fixed 0.2 V voltage.

Length Dependence of J(V,T) Measurements

As explained in the Introduction, the length (d, in nm) is another aspect that helps us to distinctly differentiate between incoherent and coherent tunneling CT. Coherent tunneling has a strong exponential dependence on d. Figure shows the d dependence of DNA tunnel junctions by taking the ratio between J across junctions with short DNA and J across junctions with long DNA: J(ssDNA15)/J(ssDNA30) in Figure A,B and J (dsDNA15)/J(dsDNA30) in Figure C,D. The comparison is performed as a function of T at a few selected V values (Figure A,C) and as a function of V at a few selected isotherms (Figure B,D). The dominance of tunneling for dsDNA is clear by up to 30-fold length attenuation (Figure C), and the length attenuation (or tunneling behavior) is stronger at low voltage (V < ± 0.4 V) than at high voltages (V = ± 1 V with only a 5–7-fold attenuation). This is in perfect agreement with the T effect (Figure ). We observe that, at low V (or low T), the J is small and CT is dominated by tunneling processes. As the V increases (or at high T), the tunneling alone cannot transport the high J and other mechanisms, like hopping, become dominant. We have not attempted to translate the current ratio into the tunneling decay coefficient, β, because of only two data points, though in principle we expect β = ln(J15/J30)/Δd. The voltage dependence of the current ratio of dsDNA (Figure D) shows the classical expected decay of β (J ratio) with voltage.[63−67] The clear voltage dependence (Figure D) is in stark contrast to the lack of temperature dependence (Figure C) which is exactly expected from a tunneling process. The d dependency for ssDNA (Figure A,B) was much weaker, up to 4-fold at maximum. This observation strengthens our conclusion that CT across ssDNA is hopping-dominated. However, there are still many unresolved questions in our studies, for example, the T dependence (Figure ) suggests that, at low T, both ssDNA and dsDNA undergo CT by an activationless tunneling mechanism. In contrast, Figure A shows hardly any d attenuation at these low T points. In section S3.9, we show all the measured J(V,T) data, which also reveals this complex behavior. This suggests that the prevailing identity between temperature-inactivated and “tunneling” is probably an oversimplification, and more studies are needed to reveal more details regarding the CT mechanism.[12,67]

Conclusions

We have confirmed that dsDNA is at least 30-fold more conductive than ssDNA in large-area tunnel junctions based on EGaIn. On the basis of CV and ellipsometry, we demonstrate that ssDNA forms disordered monolayers that undergo back-bending on Au electrodes. On the basis of our J(V,T) studies, we conclude that thermally activated hopping is the mechanism of CT in the junctions with disordered ssDNA for T = 240–330 K. At low T (T < 240 K), the contribution from the thermally activated hopping can be neglected and (activationless) coherent tunneling dominates CT. Interchain hopping limits charge conduction in ssDNA due to which CT rates are comparatively low as the charge has to “hop” from one chain to another. On the other hand, CT rates across dsDNA are high because dsDNA forms ordered monolayers that possess a π-stack and displays CT behavior in which charge can readily coherently tunnel along the chain (but a small thermally active component appears for large enough values of d as also has been observed for other types of molecular wires[68−72]). Therefore, we conclude that intrachain coherent tunneling is a more efficient charge conduction channel than interchain hopping in DNA tunnel junctions, with our studies revealing the vital importance of structural order in developing efficient (bio)molecular electronics devices.
  53 in total

1.  DNA electrochemistry through the base pairs not the sugar-phosphate backbone.

Authors:  Tao Liu; Jacqueline K Barton
Journal:  J Am Chem Soc       Date:  2005-07-27       Impact factor: 15.419

2.  Direct measurement of electrical transport through single DNA molecules of complex sequence.

Authors:  Hezy Cohen; Claude Nogues; Ron Naaman; Danny Porath
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-08       Impact factor: 11.205

3.  Controlling leakage currents: the role of the binding group and purity of the precursors for self-assembled monolayers in the performance of molecular diodes.

Authors:  Li Jiang; Li Yuan; Liang Cao; Christian A Nijhuis
Journal:  J Am Chem Soc       Date:  2014-01-22       Impact factor: 15.419

4.  The role of van der Waals forces in the performance of molecular diodes.

Authors:  Nisachol Nerngchamnong; Li Yuan; Dong-Chen Qi; Jiang Li; Damien Thompson; Christian A Nijhuis
Journal:  Nat Nanotechnol       Date:  2013-01-06       Impact factor: 39.213

5.  Comparative electrostatic force microscopy of tetra- and intra-molecular G4-DNA.

Authors:  Gideon I Livshits; Jamal Ghabboun; Natalia Borovok; Alexander B Kotlyar; Danny Porath
Journal:  Adv Mater       Date:  2014-06-04       Impact factor: 30.849

6.  On the remarkable role of surface topography of the bottom electrodes in blocking leakage currents in molecular diodes.

Authors:  Li Yuan; Li Jiang; Damien Thompson; Christian A Nijhuis
Journal:  J Am Chem Soc       Date:  2014-04-22       Impact factor: 15.419

7.  Direct observation of hole transfer through DNA by hopping between adenine bases and by tunnelling.

Authors:  B Giese; J Amaudrut; A K Köhler; M Spormann; S Wessely
Journal:  Nature       Date:  2001-07-19       Impact factor: 49.962

8.  Ferrocenylalkylthiolates as a probe of heterogeneity in binary self-assembled monolayers on gold.

Authors:  Lawrence Yoon Suk Lee; Todd C Sutherland; Simona Rucareanu; R Bruce Lennox
Journal:  Langmuir       Date:  2006-04-25       Impact factor: 3.882

9.  Comparing the properties of electrochemical-based DNA sensors employing different redox tags.

Authors:  Di Kang; Xiaolei Zuo; Renqiang Yang; Fan Xia; Kevin W Plaxco; Ryan J White
Journal:  Anal Chem       Date:  2009-11-01       Impact factor: 6.986

View more
  1 in total

Review 1.  XNAs: A Troubleshooter for Nucleic Acid Sensing.

Authors:  Tanushree Mana; Budhaditya Bhattacharya; Hiya Lahiri; Rupa Mukhopadhyay
Journal:  ACS Omega       Date:  2022-04-28
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.