Journal of Sensors
Volume 2018 (2018), Article ID 2316712, 7 pages
https://doi.org/10.1155/2018/2316712

Research Article

Adsorption Mechanism of Typical Gases Exhaled by Lung Cancer Patients on the Anatase TiO₂ (101) Surface

Qianqian Wan,¹ Yancheng Xu,¹ and Xiaoxing Zhang2,3

¹Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
²School of Electrical Engineering, Wuhan University, Wuhan, Hubei, China
³State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China

Correspondence should be addressed to Yancheng Xu; xjl100901@whu.edu.cn

Received 12 August 2017; Revised 27 October 2017; Accepted 28 November 2017; Published 9 January 2018

Academic Editor: Giorgio Pennazza

Copyright © 2018 Qianqian Wan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Considerable researches have proved that, to a great extent, high death rate of lung cancer is on account of its crypticity in the early stage, and detection of typical exhaled gases of possible patients has emerged as an effective and workable method to realize the prognosis of lung cancer. In this paper, the adsorption of the three typical exhaled components, namely, C₆H₆, C₈H₈, and C₅H₈, of lung cancer patients on the anatase TiO₂ (101) surface was simulated based on the density functional theory method in order to recommend TiO₂ nanotube arrays as sensing materials to fulfill this aim. Analysis based on adsorbing parameters, frontier molecular orbital theory, and density of states congruously implies that the anatase TiO₂ (101) surface possesses certain sensitivity to these three gases, especially to C₈H₈ which possesses the best activity to be adsorbed on the proposed surface. Our experimental study showed great consensus with the theoretical calculations. Therefore, TiO₂ nanotube arrays can be applied as proper gas-sensing material for the preparation of lung cancer prognosis sensors as a family device to realize the simple and convenient detection of lung cancer in our daily life.

1. Introduction

Lung cancer is one of the most threatening malignances to human health and lives with the largest increasing rate of incidence and death. On the other hand, some drawbacks of current clinical examination devices for lung cancer such as high price, complicated operation steps, and long detective duration make them really impossible to be conducted for a patient in a poor family or some businessmen without that time [1–4]. What is worse is that usually, clinical examinations can only be carried out when patients feel out of sorts, and frequently these groups miss the best time for cure of lung cancer in the early period. Therefore, it is of great significance to exploit and prepare some novel detecting devices with convenient preparation technics, quick response, long lifetime, and low price, in order to realize the detection and prognosis of lung cancer.

There are numerous typical markers of lung cancer for its detection. Clinically, characteristic markers of blood serum are commonly used for the detection of lung cancer. Simply, the exhaled air can provide many information about people’s health in terms of lung cancer, providing possible approaches for the preparation of portable detecting devices. The idea that exhaled gas could be applied for diagnosis of lung cancer was proposed at the earliest by Gordon in 1985. Gordon’s group selected 22 kinds of volatile organic compounds (VOCs) in total, which are considered the characteristic contents in exhaled air of lung cancer patients, mainly the derivatives of alkane and benzene [5]. Phillips’s group has been devoted to the detection of typical VOCs in exhaled air of lung cancer patients all the time since 1999 and came up with 22 types of characteristic VOCs of lung cancer, including benzene (C₆H₆), styrene (C₈H₈), and isoprene (C₅H₈) [6].

As a new kind of sensing material in the gas-sensing field, TiO₂ nanotube arrays (TNTAs) possess good physicochemical properties like adjustable size, large specific surface area, simple preparation method, and strong adsorption and desorption ability to gas molecules. Gas sensors made of TNTAs have benefits like quick response, high sensitivity, and high stability. The gas-sensing performances of such sensors can be enhanced by metal and nonmetal doping and, at the same time, realize the selective detection towards the components and contents of mixed gases [7–11]. In recent years, researches of TNTA gas sensors focus on the detection of some common gases such as CO, H₂, O₂, NH₃, NO₂, acetone, and ethanol [12–17], while, to the best of our knowledge, there are few reports about the application of TNTAs for the prognosis of lung cancer through the detection of some VOCs.

In this paper, based on the density function (DFT) theory, the adsorption of benzene (C₆H₆), styrene (C₈H₈), and isoprene (C₅H₈) on the anatase TiO₂ (101) surface was carried out by simulation software of Materials Studio [18] in order to understand the adsorption mechanism of these three gases on the TiO₂ surface, giving rise to the basic knowledge for the future application of such sensing materials upon lung cancer prognosis. Adsorption behaviors of these three molecules and the effect of molecule adsorption on the characteristics of the TiO₂ (101) surface were analyzed. The related experiment was carried as well to confirm our theoretical results. Our calculations and experiment are meaningful because they can provide theoretical foundation for future preparation and applications of TNTA gas biosensors as a family device for practical application in the field of lung cancer prognosis.

2. Simulation Model and Calculation Method

The structural model of the anatase TiO₂ (101) surface was constructed using periodic boundary, with the size of 10.88 × 11.32 × 24.35 Å [3]. A vacuum layer of 16 Å high above the surface was also built to avoid the interactions between crystal surfaces caused by periodic boundary. Figure 1 shows the views of the anatase TiO₂ (101) surface model from different angles. During structural optimization, bottom half atoms in the structure were fixed without optimization (shown by a linear model) while the top half atoms in the structure were optimized (shown by a ball-and-stick model). Figure 2 shows the structural models of the three kinds of molecules including benzene (C₆H₆), styrene (C₈H₈), and isoprene (C₅H₈). Both the gas molecules and the TiO₂ models were geometrically optimized for proceeding the adsorption processes. Referring to establishing the adsorption configurations, the three kinds of gas molecules are approaching to the anatase TiO₂ (101) surface from different positions and angles, followed by constant optimization. As a result, relatively stable structures of the three kinds of molecules adsorbed on the anatase TiO₂ (101) surface were obtained, as shown in Figure 3.

(a)

(b)

(c)

Figure 1: Structure of the anatase TiO₂ (101) surface. (a) Top view, (b) front view, and (c) side view.

(a)

(b)

(c)

Figure 2: Structure of typical gas molecules of lung cancer. (a) Benzene, (b) styrene, and (c) isoprene.

Figure 3: Adsorption configurations of benzene, styrene, and isoprene on the anatase TiO₂ (101) surface.

Details of the calculation method should be noted as follows: generalized gradient approximation (GGA) associated with Perdew-Burke-Ernzerhof (PBE) was employed to deal with the exchange-correlation function among electrons. The double numerical basis set plus polarization (DNP) functions were also adopted [16]. Energy convergence was set as 1.0 × 10⁻⁵ Ha, with energy gradient and atom displacement as 0.002 Ha/Å and 0.005 Å, respectively. In order to improve the convergence rate and reduce the calculation time, the convergence threshold of the electronic self-consistent field was set as 1.0 × 10⁻⁶ Ha. Besides, the calculation was carried out using DIIS with smearing set as 5.0 × 10⁻⁴ Ha. k-mesh of the calculation model was 2 × 2 × 1 [19]. All calculations were implemented in the DMol [3] package.

3. Results and Discussion

In order to reflect the spontaneity of interactions between the anatase TiO₂ (101) surface and gas molecules, the adsorption energy was defined as follows:

where is the energy of the individual gas molecule, is the energy of the insolated anatase TiO₂ (101) surface, and is the total energy of the anatase TiO₂ (101) surface model after gas molecule adsorption.

If , the adsorption is exothermic and spontaneous and the larger the absolute value, the more drastic the adsorption function. Otherwise, if is smaller than 0, it indicates that the interaction cannot occur.

Moreover, to illustrate the change of charge distribution before and after the adsorption of gas molecules on the anatase TiO₂ (101) surface, Mulliken population analysis was conducted, which is important because it can quantitatively present the charge transfer number and qualitatively determine the charge transferring path between the gas molecule and TiO₂ (101) surface. Charge transfer (q) represents the carried charge value of gas molecules in the adsorbed systems. The calculation result that indicates electron transfers from the gas molecule to anatase TiO₂ (101) surface, while the negative value of represents the converse electron transferring path. Adsorption distance (D) is the nearest distance between the anatase TiO₂ (101) surface and any atom of the gas molecule in the adsorption system. Table 1 lists the adsorption energy, charge transfer, and adsorption distance of three stable adsorption structures in terms of the anatase TiO₂ (101) surface and benzene (C₆H₆), styrene (C₈H₈), and isoprene.

Table 1: Adsorbing parameters of the three adsorbed systems.

Systems
Adsorption energy (Ead) (eV)
Charge transfer (q) (e)
Adsorption distance (D) (Å)

C₆H₆
−0.5641
0.054
2.686

C₈H₈
−0.6949
0.142
2.418

C₅H₈
−0.6056
0.114
2.573

According to the negative values of shown in Table 1, it can be inferred that the adsorption processes of the three gas molecules on the anatase TiO₂ (101) surface are exothermic and spontaneous, which indicates the feasibility of interactions between the novel surface and these gases. However, all the small values agree that the adsorption processes of the three gases are closer to physical adsorption rather than to chemical adsorption. Comparison of among the three systems indicates that the adsorption energy of C₈H₈ is the largest and thereby the interaction between C₈H₈ and the anatase TiO₂ (101) surface is relatively stronger with more stable adsorption structure than that of the other two adsorption processes. This result signifies that the TiO₂ surface may possess the most sensitivity to C₈H₈ compared with the other two typical components. Apart from that, it can be found that the largest value of and the shortest value of among the three systems are numerically in agreement with the order, namely, demonstrating the superior sensitivity of the TiO₂ surface to the C₈H₈ molecule. All the positive values of imply that the charge transfers from the gas molecules to the TiO₂ surface, suggesting that the gas molecules perform as the electron donor while the TiO₂ surface as the electron acceptor. As clearly seen in Table 1, the values in terms of the three systems are in order as C₈H₈ > C₅H₈ > C₆H₆, which are in good consensus with the orders of and . It can be further concluded that charge transfer from C₈H₈ to the anatase TiO₂ (101) surface is slightly larger than that of C₅H₈ and the last system; charge transfer value is almost twice as many as that of C₆H₆. Therefore, C₈H₈ that provides more electrons for the anatase TiO₂ (101) surface can lead to better sensitivity in its sensing interaction.

In order to determine the effect of gas adsorption on the conductivity of the proposed TiO₂ material after adsorbing typical gases of lung cancer patients on its surface, the frontier molecular orbital theory was conducted. Through analyzing the change of energy gap () of the adsorbed system compared with the pure TiO₂ system, related conclusion can be drawn, because is a quite significant parameter for bulk materials to measure their conductivity according to previous reports [9, 20]. Based on the frontier molecular orbital theory, energy levels of the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO) of the pure anatase TiO₂ (101) surface and three individual molecules were calculated, respectively. Through comparing the energy level of HOMO and LUMO of the anatase TiO₂ (101) surface with that of the gas molecules, the difficult level of charge transfer between the three gases and anatase TiO₂ (101) surface can be judged, where and are defined as the following:

The smaller is, the easier it is for electrons to transfer from the anatase TiO₂ (101) surface to gas molecules; the smaller is, the easier it is for electrons to transfer from the gas molecules to anatase TiO₂ (101) surface. , , , and of the three gas molecules and anatase TiO₂ (101) surface are shown in Table 2.

Table 2: Energy of the anatase TiO₂ (101) surface and three gas molecules.

Calculation system
EHOMO (eV)
ELUMO (eV)
E₁ (eV)
E₂ (eV)

TiO₂
−0.2749
−0.2033
—
—

C₆H₆
−0.2204
−0.0287
0.2462
0.0171

C₈H₈
−0.1973
−0.0601
0.2148
0.0041

C₅H₈
−0.1980
−0.0515
0.2234
0.0053

As can be concluded from Table 2, and of C₈H₈ are the smallest among the three gas molecules, which states that the adsorption function and charge transfer between C₈H₈ and the anatase TiO₂ (101) surface are easiest to happen. That is to say, the anatase TiO₂ (101) surface has the highest sensitivity to C₈H₈ and C₅H₈ takes the second place. These results are in agreement with those of our previous analysis in terms of , , and .

The energy gap () of the adsorbing systems before and after adsorption can also be obtained based on energies of HOMO and LUMO, which is defined as follows with the calculated , , and for the insolated TiO₂ surface in parallel with the adsorbed systems shown in Table 3.

Table 3: Energy gap of TiO₂ and the three adsorption structures.

Calculation system
EHOMO (eV)
ELUMO (eV)
Eg (eV)

TiO₂
−7.480
−5.532
1.948

TiO₂-C₆H₆
−6.599
−5.488
1.110

TiO₂-C₈H₈
−6.207
−5.432
0.775

TiO₂-C₅H₈
−6.215
−5.393
0.824

Energy gap determines the difficult degree for electrons to transfer from HOMO to LUMO, and it also reflects the ability for electrons to jump from the valence band to conduction band. As can be found from Table 3, the energy gap of the anatase TiO₂ (101) surface dropped from 1.948 eV to 1.110 eV after C₆H₆ adsorption, to 0.775 eV after C₈H₈ adsorption, and to 0.824 eV after C₅H₈ adsorption, which illustrates that the adsorption of the three gas molecules reduced the energy gap of the anatase TiO₂ (101) surface and improved the charge transfer ability of the anatase TiO₂ (101) surface, causing the electron redistribution in the three systems. Furthermore, given the entire narrowed for the three systems, one can conclude that the conductivity of TiO₂ would increase after adsorption of these gases, and moreover, the adsorption of C₈H₈ and C₅H₈ can bring larger conductive enhancement of the anatase TiO₂ (101) surface in comparison with that of the C₆H₆ system.

In addition, by comparing the energy gap between HOMO and LUMO of the gas molecules defined as , the active intensity of the gas molecules can be determined as shown in Table 4, which can provide more information from the aspect of the gas molecule itself. We can find that the decreasing order of is presented as C₈H₈ > C₅H₈ > C₆H₆, which also represents the activity order of the gas molecules. That is, the C₈H₈ has the best activity among the three gases, while C₅H₈ was the second and C₆H₆ was the last. In the meanwhile, it has been proved that gases with high active intensity are more likely to be adsorbed in a certain surface, without exception of the anatase TiO₂ (101) surface. Thus, from this aspect, we found that the C₈H₈ would be the most active gas among the three ones to interact with the proposed surface, leading to the large , high , and short . These conclusions inferred from the frontier molecular orbital theory are in accordance with those of the adsorbing parameter analyses.

Table 4: Energy gap differences of HOMO and LUMO.

Gas molecule
C₆H₆
C₈H₈
C₅H₈

ΔE (eV)
5.216
3.733
3.986

To further confirm the above conclusions, the density of state (DOS) analysis that can effectively illustrate the electronic behavior and conductivity change of the TiO₂ (101) surface before and after adsorption was conducted. Figure 4 shows the total density of state (TDOS) distributions of the insolated TiO₂ surface and three adsorbed systems. It can be seen that there exist a wide forbidden band between the valence band and conduction band referring to the insolated anatase TiO₂ (101) surface. On the other hand, in the three adsorbed systems, we can find through comparing the TDOS distribution that energy gaps entirely become narrowed due to the new peak emerging between the value band and conduction band. This can be attributed to the adsorption of the gas molecules that leads to the formation of a novel state near the Fermi level [21], and as a consequence, the conductivity of our introduced anatase TiO₂ would be enhanced, which is in agreement with the conclusion induced by the frontier molecular orbital theory.

Figure 4: TDOS distributions of the intrinsic TiO₂ (101) surface and three adsorbed systems. The dash lines are the Fermi level.

Another common point occurred in DOS of the three adsorbed systems is that all the TDOS curves tend to transform left into a lower region. This is because of the electron-accepting performance of the TiO₂ (101) surface [22], and therefore, the anatase TiO₂ behaves as an n-type semiconductor. In the gas-adsorbing process, electrons transfer from the gas molecules to the conduction band of the TiO₂ surface, improving the carrier density of the proposed semiconductor and thereby boosting the related conductivity.

Overall, according to the previous analyses, we can confirm that the TiO₂ surface is able to be a gas adsorbent to interact with the three typical gases of lung cancer patients, namely, C₆H₆, C₈H₈, and C₅H₈ given their good adsorption performance, and to be promising gas sensors for the prognosis of lung cancer given the conductivity drops of anatase TiO₂ when interacted with typical components. On the basis of our calculation results, the anatase TiO₂ would be a workable material for preparing based sensors as a family device in terms of lung cancer detection and the corresponding working mechanism would depend on the obvious and even sharp decrease in electrical resistance in TiO₂-based sensors with respect to the results obtained from the healthy. Such devices would be quite simple and convenient because they only need the sample of exhaled gas of possible patients, which can be carried out in our daily life rather than in the hospital.

In order to comprehensively understand the sensing mechanism of our proposed materials, the sensing experiment was conducted to confirm our theoretical study. Anatase TiO₂ nanotubes were prepared by an anodic oxidation method; during this process, the TiO₂ nanotubes could be uniformly electroplated onto the thin Ti slice to produce our film sensors. Gas-sensing properties of intrinsic anatase TiO₂ nanotubes to analytes were implemented by electrochemical workstation. The whole experiment was performed under ambient temperature, with the sensing results shown in Figure 5 in which the vertical axis represents the responses (R%) that were calculated as the changing percentage of the resistance due to the exposure to the environment containing the target gas against the resistance measured without the presence of typical gases , while the horizontal axis represents the sensing time. After the sensing process to typical gases, the N₂ was poured into the tank to refresh the environment; then, the related typical gas was poured again for repeated studies. We believed that in air with really large amount of N₂, the recovery would be easily realized if the recovery could be fulfilled in our experiment. Based on Figure 5, we can found that TiO₂ has the best sensitivity to C₈H₈ with the shortest sensing time and the strongest response, followed by C₅H₈ (the second) and C₆H₆ (the last). The sensing order of TiO₂ towards the three kinds of typical gases was demonstrated by the theoretical study, suggesting their good accordance between experimental and theoretical methods. Specifically, the response time of C₈H₈ is the shortest about 1.5 minutes in the sensing stage, while it is about 2.5 minutes in the recovery stage. The C₅H₈ system has 2 minutes in the sensing stage and about 4 minutes in the recovery stage. The C₆H₆ shows the worst sensing performance with about 2 minutes of response time and 5 minutes of recovery time. One common thing is that all the three systems display a negative sensitivity, suggesting the reduced resistance after adsorption of typical gases compared with pure TiO₂. This, as well, is in agreement with the previous theoretical study that adsorption of typical gases would lead to the increase in conductivity of TiO₂ material.

(a)

(b)

(c)

Figure 5: Sensing characteristic of TiO₂ towards the three typical gases.

Based on the above analysis, it is well found to conclude that TiO₂, as it has good adsorption performance and sensing ability towards typical gases of lung cancer, could be a potential biomaterial for the application of making biosensors for the diagnosis of lung cancer as family-based devices. We strongly suggest the TiO₂-based material for the future preparation of such device. Our study would be meaningful for further studies on the clinical test of such biosensor. Given the all reduced effects of adsorbing typical gases of lung cancer on the resistance of TiO₂, the working principle of the biosensors would be based on the reduced resistance after the detection of exhaled air of possible lung cancer patients regardless of which kind of typical gas it is.

4. Conclusions

In this paper, on the basis of the density functional theory, the adsorption of the three typical exhaled gases of lung cancer patients, that is, benzene, styrene, and isoprene, on the anatase TiO₂ (101) surface was simulated. The calculated results and analysis can provide theoretical foundation for the preparation of TiO₂ nanotube array gas sensors because the TiO₂ surface shows potential application as gas-sensing material to detect these three typical exhaled gases of lung cancer patients given the superior adsorbing performance. The related experiment was carried out to confirm the theoretical study as well, which has good consensus as expected. The conclusions are listed as follows:

(1)The anatase TiO₂ (101) surface possesses certain sensitivity to benzene, styrene, and isoprene, and the sensitivity to styrene is the largest among the three gases.(2)Frontier molecular orbital analyses illustrate that styrene possesses the highest active intensity among the three gases; that is to say, it is easier for styrene to transfer electrons and be adsorbed on the anatase TiO₂ (101) surface in the adsorption process.(3)Through comparing the energy gaps and DOS distributions of the insolated TiO₂ (101) surface and three adsorbed systems, it can be found that the adsorption of these three gas molecules can reduce the energy gap of the anatase TiO₂ (101) surface and therefore improve its conductive ability, leading to the enhanced conductivity of TiO₂ after adsorbing any gas of the three typical gases.(4)Performing as an n-type semiconductor, TiO₂ nanotube arrays can be applied as gas-sensing material for the preparation of gas sensors to realize the prognosis of lung cancer in our daily life according to the obvious reduced electrical resistance with respect to the results obtained from the healthy.(5)Given the great consensus between experimental and theoretical studies, the TiO₂ could be a potential biosensor for the prognosis of lung cancer.

Conflicts of Interest

The authors declare that there is no conflict of interest regarding the publication of this paper.

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