|Year : 2019 | Volume
| Issue : 3 | Page : 158-164
Gas sensor array system properties for detecting bacterial biofilms
Suryani Dyah Astuti1, Yanuar Mukhammad2, Sirlus Andreanto Jasman Duli2, Alfian Pramudita Putra3, Ernie Maduratna Setiawatie4, Kuwat Triyana5
1 Biomedical Engineering, Postgraduate School; Department of Physics, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia
2 Biomedical Engineering, Postgraduate School, Universitas Airlangga, Surabaya, Indonesia
3 Department of Physics, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia
4 Department of Periodontics, Faculty of Dentistry, Universitas Airlangga, Surabaya, Indonesia
5 Department of Physics, Faculty of Mathematics and Natural Science, Gadjah Mada University, Yogyakarta, Indonesia
|Date of Submission||06-Dec-2018|
|Date of Acceptance||10-Feb-2019|
|Date of Web Publication||29-Aug-2019|
Dr. Suryani Dyah Astuti
Department of Physics, Faculty of Science and Technology, Universitas Airlangga, Surabaya
Source of Support: None, Conflict of Interest: None
Background: Gas sensor array system is a device that mimics the work of how the nose smells using the gas sensors that could give response toward specific odors. It is used for characterizing the different blended gas that is suited with the biological working nose principle. Thus, it could be used to detect the dental and oral diseases. Periodontitis is one of the diseases caused by the damage on the teeth due to the chronic infection on the gingival structure marked with bacterial plaque and calculus. This study aims to develop an electric nose for odor detection application on the periodontal bacterial biofilm as early detection device for dental and oral disease. Methods: This device is designed as a portable device to ease the data acquisition. The measured data were stored at a database system connected to a real-time computer. A gas array sensor system with six gas sensors (TGS 826, TGS 2602, TGS 2600, TGS 2611, TGS 2612, and TGS 2620) has been assembled for the early detection application for dental and oral disease excreted by the bacterial biofilm that caused dental and oral disease, including Aggregatibacter actinomycetemcomitans, Porphyromonas gingivalis, Streptococcus mutans, and Enterococcus faecalis. Results: TGS 826 and TGS 2602 sensor had the best response showed by the high ADC delta value. Conclusion: GS 826 and TGS 2602 sensor could be used as a candidate for early detection device for dental and oral disease.
Keywords: Bacterial biofilm, gas array sensor system, gas sensor, TGS 826 and TGS 2602 sensor
|How to cite this article:|
Astuti SD, Mukhammad Y, Duli SA, Putra AP, Setiawatie EM, Triyana K. Gas sensor array system properties for detecting bacterial biofilms. J Med Signals Sens 2019;9:158-64
|How to cite this URL:|
Astuti SD, Mukhammad Y, Duli SA, Putra AP, Setiawatie EM, Triyana K. Gas sensor array system properties for detecting bacterial biofilms. J Med Signals Sens [serial online] 2019 [cited 2022 Sep 25];9:158-64. Available from: https://www.jmssjournal.net/text.asp?2019/9/3/158/265769
| Introduction|| |
Gas sensor array system is a device that detects pollutant gases with microcontroller as data processor. The voltage output of every sensor during pollutant gas detection was processed by this microcontroller. The gas sensor used in the gas sensor array system comprises conductive polymer gas sensor, quartz-microbalance, surface acoustic wave, and oxide metal. The sample preparation of this gas sensor array system was using a static headspace sensor system. The use of this system aims to decrease the risk of contamination. The static headspace sensor system has two purposes: sensing and purging process. The sensing process is performed after baseline data acquired for 10 min. The sensor voltage output data is acquired when the sensor is exposed to a specific gas with a sensing time of 30 min. The purging process is performed after the sensing process by releasing the bacteria flask from the sensor. This process aims to obtain a normal environment voltage (air) as a baseline condition. The gas array sensor system could detect a specific gas according to the gas sensor used.
Gas sensor array system has been already applied in several fields, such as food, beverage, chemical industry, defense, and medical field. In medical field, it was already developed for invasive diagnosis of ventilator-associated pneumonia. The problem in dental and oral health is usually not prioritized by most people. Commonly, they know that teeth and mouth are the gate for viruses or bacteria that could affect their health, especially in periodontal tissue. The dental and oral diseases are initiated by the presence of progressive bacterial infection. The bacteria on the dental plaque forms a colony in gingival tissue that cause inflammation response of the supportive tissue in the teeth.
Periodontitis is one of the diseases caused by the damage on the teeth due to chronic infection on the gingival structure and marked by the bacterial plaque and calculus formation. Several anaerobe species in the mouth cavity that has been cultured are Porphyromonas gingivalis (Pg), Bacteroides gracilis, Bacteroides oralis, Bacteroides buccae, Eikenella corrodens, Fusobacterium nucleatum, Prevotella intermedia, Fusobacterium necrophorum, Aggregatibacter actinomycetemcomitans (Aa), Peptostreptococcus, Enterococcus faecalis (Ef), Clostridium, and Actinomyces. The diagnosis of periodontal disease consists of history analysis and clinical symptoms comprising several evaluations, such as dental shakiness evaluation, radiography, blood test, and biopsy for problem identification of the patient. Based on the information mentioned before, it is needed to have an early noninvasive detection for dental and oral diseases. Gas array sensor system is expected to be a candidate for a noninvasive detection of dental and oral disease with good performance.
The microorganisms that stay in the mouth cavity produce unpleasant oral odor substances, such as volatile sulfur that represents 90% of oral cavity atmosphere (methyl mercaptan [CH3 SH], hydrogen sulfide [H2S], and dimethyl sulfide [CH3 SCH3]), short chain fatty acid (butyrate acid, valerate acid, and propionic acid), and polyamine (putrescine and cadaverine).
Hydrogen sulfide (H2S) is commonly known as a toxic gas with rotten egg odor, which is resulted from bacterial decomposition of subgingival pocket., This disease could be seen from the inflammation condition marked by the damage in connective tissue, attachment lose, and alveolar bone resorption.
This study aimed to develop a gas sensor array system for odor detection application on the bacterial biofilm of periodontal disease as a candidate of an early detection device for dental and oral disease. A gas sensor array system with gas sensors TGS 826, TGS 2602, TGS 2600, TGS 2611, TGS 2612, and TGS 2620 was designed as a portable device, so that it is easy for data acquisition. The data were measured and stored in a database system connected to a computer in a real-time condition.
| Materials and Methods|| |
Gas sensor array system design
Gas sensor array system is a device that is developed to detect odor and characterize the combination of gases forming the odor. The instrumentation design of gas sensor array system is shown in [Figure 1].
TGS gas sensor consists of three parts, such as sensing element, sensor base, and sensor cap. The material of sensing element of TGS gas sensor is metal oxide, such as SnO2. [Figure 2] shows the TGS sensor design. There is a heater inside the sensor that has function as a heating sensing material that could work optimally in temperature between 300°C and 550°C. At low temperature, the reaction rate on the oxide metal surface is so slow. Thus, the metal oxide should be heated to catch more oxygen and become more negative. The electron from the metal oxide was delivered to the adsorbed oxygen and left positive charge on the surface layer. This layer could form a positive charge cover called voltage barrier to inhibit electron flow or current.
The response produced by gas sensor array system was DC voltage from each sensor. The gas sensor array system device was designed from several electronic components, consisting of gas sensor (Figaro Engineering, Osaka, Japan) TGS 826, TGS 2602, TGS 2600, TGS 2611, TGS 2612, and TGS 2620; variable resistors; microcontroller; ATmega8; and Bluetooth AC-05. The gas sensor array system instrumentation diagram is shown in [Figure 3].
The gas sensor array system device had two PCBs originating from white fiber material with a thickness of 2 mm. The first PCB had a diameter of 20 cm to put the gas sensor TGS 826, TGS 2602, TGS 2600, TGS 2611, TGS 2612, and TGS 2620 and several other components. This device had a variable resistor with a resistance of 10 kΩ that was used to control the initial voltage of the sensor (the baseline). The second PCB had a ATmega8 microcontroller with 10-bit ADC that has function as control system for sensor data processing. It also had RS323 serial port that was used to deliver the sensor data to a computer. There was also a USB ASP downloader for microcontroller programming. The sensor voltage characterization aimed to observe the sensor voltage output before the sensing process toward the bacteria. This process was performed for 3 min at room temperature with any gases. The measurement of sensor voltage output on the normal air without any gases was performed for each sensor.
Bacterial biofilm culture
The bacteria causing dental and oral diseases were used, such as Aa, Pg, Streptococcus mutans (Sm), and Ef. All the bacteria were supplied from the Faculty of Dentistry, Universitas Airlangga. The making of McFarland standard diagram was used for conversion of the number of bacterial cells with its density to optical density (OD) value. The bacterial culture was conducted using sterile agar media or Tryptic Soy Agar (TSA, a Soybean–Casein Digest Agar; Difco, Sparks, MD, USA) and incubated for 24 h at temperature of 37°C. After incubation, the sample was put on the microplate wells about 100 μl using a micropipette. The analysis was performed after 30 min for each bacterium. The initial number of colony-forming units per milliliter (CFU/mL) was estimated by measuring the suspension turbidity with a spectrophotometer and verified using CFU/mL counts on TSA after growth at 37°C for up to 24 h.
After obtaining the McFarland standard diagram, the biofilm of bacteria was cultured using the sterile Tryptic Soy Broth (TSB, a soybean–casein digest medium; Acumedia, Lansing, MI) prepared according to the manufacturer's instructions and autoclaved at 121°C for 15 min before use. The bacteria solution was vortexed until homogeneous. The bacteria solution was then incubated for 2 h at temperature of 37°C. After incubation, the OD of the solution was measured. The culture solution was added by 2 ml of 2% sucrose and was vortexed again. 100 μl of the bacterial biofilm solution was put on the microplate and was shaken for 4 h. The bacterial biofilm solution was then incubated at temperature of 37°C varying from 1 to 5 days. At the 1st day, the bacterial biofilm was taken and rinsed using 50 μl phosphate-buffered saline solutions for three times to filter the bacterial biofilm and TSB solution. The staining procedure was using 200 μl of 2% violet crystal for 30 min. The bacterial biofilm was then rinsed using deionized water and put at room temperature for drying process for 3 h. The bacterial biofilm was added 100 μl of 33% glacial acetic acid and its OD was measured using ELISA reader (Bio-Rad EIA reader 2550, Richmond, CA, USA) to identify the OD or the microorganism density at wavenumber of 595 nm.
The application of gas array sensor system on bacterial biofilm
The sensor stability was conducted by taking sensor sample in a room condition for 3 min with temperature of 25°C without the presence of the other gases related to the ones produced by biofilm. The sensor response measurement was done on the bacterial biofilm with 10 min baseline model, 30-min sensing, and 10-min purging, as follows.
Baseline value is a sensor output datum without using testing sample (free air). The baseline value was measured for 10 min.
Sensing value is a sensor output datum on the bacterial biofilm sample. It was measured for 30 min.
Purging value is a sensor output datum in the condition after the sensing value measurement that was used to return the sensor condition on its stability value. It was measured for 10 min.
The result of this measurement was stored in a user interface application on the database. From that data, the response value of the sensor was recorded in the database application and calculated using Eq. 1.
Delta ADC = Sensing Max Value − Baseline Value (1)
Delta ADC is a sensor response obtained from the measured biofilm odor. The testing of the biofilm sample was performed for 5 days.
| Results and Discussion|| |
The result of ADC value of sensor response characterization is shown in [Figure 4]. The result of stability test had different baseline value and they were suitable with the TGS gas sensor type that has been used in this study. The difference of that value depended on the control of variable resistor placed on the output of each sensor. The measurement of sensor stability was performed for 3 min at room temperature (25°C). The result after 3 min showed that the sensor could reach the stable point.
The data acquisition of biofilm odor with 30-min sensing and 10-min purging was performed. The sensor response produced by gas sensors TGS 826, TGS 2602, TGS 2600, TGS 2611, TGS 2612, and TGS 2620 was the voltage (mV) over time sampling. The gas concentration was obtained from several types of gases because the TGS gas sensor is a nonselective gas sensor.
The TGS 2600 gas sensor could detect hydrogen and carbon monoxide gases. The TGS 2611 gas sensor is a sensor that could detect hydrogen and methane gases. The TGS 2612 gas sensor is a sensor that could detect methane, propane, and butane gases. The TGS 2620 gas sensor is a sensor that could detect methane, carbon monoxide, hydrogen, and methanol gases. The TGS 2602 gas sensor is a sensor that could detect ammoniac, hydrogen sulfide, ethanol, and toluene gases. The TGS 826 gas sensor is a sensor that could detect ammoniac and ethanol gases. The measurement of this sensor response toward several types of bacteria each day has increased. That result was illustrated by the change of delta ADC value in [Figure 5], [Figure 6], [Figure 7], [Figure 8], [Figure 9], [Figure 10] for TGS 2600, TGS 2611, TGS 2612, TGS 2620, TGS 2602, and TGS 826, respectively. [Figure 5], [Figure 6], [Figure 7], [Figure 8], [Figure 9], [Figure 10] show that Pg was dominant in giving odor and detected by the gas sensors and then followed by Aa, Sm, and Ef, respectively. The OD value of bacterial biofilm of Aa, Ef, Sm, and Pg for 5 days shown in [Figure 11].
The dental and oral disease such as periodontitis was initiated with the colonies of aerobe Gram-positive bacteria, such as streptococci, lactobacilli, and antinomycetes on the acquired pellicle formed at the surface of the teeth., After 2–4 days, several colony of Gram-negative bacteria, such as Pg, Actinobacillus prevotella, and the other Gram-negative bacteria would grow on that particular area. On the next step, the dominant pathogenic bacteria on the subgingival plaque, such as Pg, Treponema denticola, Tanerella forsythensis, Aa, F nucleatum, and Eikenella corodens, would grow on that plaque., This periodontal disease is an inflammation reaction as a body blockade of bacterial invasion.
[Figure 9] and [Figure 10] show that TGS 826 and TGS 2602 gas sensors had a good response toward the gas produced by the bacterial biofilm that causes dental and oral disease. The measured voltage (volt) of the sensor was proportional to the concentration (ppm) of the absorbed gas based on the calibration of the sensor using the ammonia shown in [Figure 12]. Based on the previous study for tempeh odor identification along the fermentation process, six of eight sensors used showed a good response, which were TGS 813, TGS 822, TGS 2600, TGS 826, TGS 2620, and TGS 2602 gas sensors. These sensors could detect gases related to the ones produced by the bacterial biofilm, so that they could become a candidate for an early detection of dental and oral disease. For future study, the concentration of the gas should be considered because it shows the level of the amount of bacterial and is proportional to the severity of the disease. The voltage output of the sensor was between 0 V and 5 V with current below 500 mA. These data were converted to digital data using ADC from microcontroller with a resolution of 10 bit. The lowest value of ADC was 0 and its highest point was 1023. The delta ADC was obtained from the measurement of the minimum and maximum value of the ADC. The TGS sensor output voltage ranged from 0 to 800 or 0–3.9 V. The data storing was performed every minute for 50 min with data transfer rate of 9600 bps.
|Figure 12: The proportional correlation between output voltage and ammonia concentration of TGS 2602 and TGS 826|
Click here to view
Biofilm is bacterial cell community that was attached to each other. It could produce polymeric matrices and attach to biological surfaces or another substance. One of the examples of biofilm which attaches to the dental surface is dental plaque. The dental plaque is a form of biofilm, which leads to dental damage. The formation of plaque started with the colonization of Sm on the dental surface. This bacterium has a virulence factor that makes it to colonize, form biofilm, and produce acid to damage the teeth (hydroxyapatite calcium). It could also grow and do metabolism in the acid environment. Fifty percent of Streptococcus species was found on the human mouth cavity. [Figure 11] shows that the number of bacterial colony in the biofilm was correlated to the time of biofilm formation. The longer the time of biofilm formation, the more bacterial colony formed. It was shown by the bacterial density. The result in [Figure 11] showed that the bacterial biofilm increased each day.
The increase on bacterial density in the biofilm raised the odor excreted from the biofilm. This odor represented the mouth odor (halitosis) when the teeth were damaged. The main cause of halitosis is volatile sulfur compounds, such as hydrogen sulfide (H2S), methyl mercaptan (CH3 SH), and dimethyl sulfide (CH3 SCH3). It is originated from anaerobe Gram-negative bacterial activity in the supragingiva region. The bacterial colony could increase due to bad oral hygiene, dental plaque, caries, gingivitis, stomatitis, periodontitis, tongue coating, xerostomia, oral carcinoma, and hormone.,
The aromatic compounds are produced naturally by the plants. On the other hand, several bacteria also produce volatile aromatic compounds with strong odor. They are assumed obtained from aromatic amino acid degradation, such as L-phenylalanine or L-tyrosine. These compounds are produced by shikimate track.
The presence of acid production by the bacterial plaque caused mineral erosion on the dental caries. The plaque cariogenicity was related to the population level of acid-tolerant organisms, such as Sm. However, the biofilm properties on the dental plaque may cause the life of several microorganisms, including less acid-tolerant organism. Some of them could produce ammonia originating from arginine or urea to counteract the acidity. This ammonia is the main cause of halitosis or unpleasant odor of oral cavity.,
| Conclusion|| |
Gas array sensor system with six gas sensors, which were TGS 826, TGS 2602, TGS 2600, TGS 2611, TGS 2612, and TGS 2620, has been designed for an early detection of dental and oral disease based on the odor produced by the bacterial biofilm casing dental and oral disease, such as Aa, Pg, Sm, and Ef. TGS 826 and TGS 2602 gas sensors had the best response shown by the delta ADC value. Thus, TGS 826 and TGS 2602 gas sensors could be used as a candidate for that purpose.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| Biographies|| |
Suryani Dyah Astuti is a lecturer in Department of Physics, Faculty of Science and Technology, Universitas Airlangga, Indonesia. She got her bachelor, master, and doctoral degree from Universitas Gadjah Mada majoring Physics, Bandung Institute of Technology majoring in Physics, and Universitas Airlangga in Mathematics and Natural Science. All of them are in Indonesia. Her research field are antimicrobial Photodynamic Therapy (aPDT) and medical physics.
Email: [email protected]
Yanuar Mukhammad is a master student in department of biomedical engineering, postgraduate school, Universitas Airlangga, Indonesia. His research field is biomedical sensors.
Email: [email protected]
Sirlus Andreanto Jasman Duli is a master student in department of biomedical engineering, postgraduate school, Universitas Airlangga, Indonesia. His research field is biomedical sensors.
Email: [email protected]
Alfian Pramudita Putra is a lecturer in Bachelor of Biomedical Engineering, Department of Physics, Faculty of Science and Technology, Universitas Airlangga, Indonesia. He got his bachelor, and master degree from Universitas Airlangga, Indonesia and University of Groningen, Netherlands, respectively. His research field is biomedical product development.
Email: [email protected]
Ernie Maduratna Setiawatie is a lecturer in Faculty of Dentistry, Universitas Airlangga, Indonesia. She got her bachelor, master, and doctoral degree from Universitas Airlangga in in Dentistry. All of them are in Indonesia. Her research field are Periodontics.
Email: [email protected]
Kuwat Triyana is a lecturer from Universitas Gadjah Mada. He got his bachelor, master, and doctoral degree from Universitas Gadjah Mada, Bandung Institute of Technology, Indonesia and Kyushu University, Japan, respectively. His research field is material science.
Email: [email protected]
| References|| |
Jati HA, Lelono D. Deteksi dan monitoring polusi udara berbasis array sensor gas. Indones J Electron Instrum Syst 2013;3:147-56.
Konduru T, Rains GC, Li C. Detecting sour skin infected onions using a customized gas sensor array. J Food Eng 2015;160:19-27.
Triyana K, Taukhid SM, Aji P, Hidayat SN, Rohman A. Development of electronic nose with low-cost dynamic headspace for classifying vegetable oils and animal fats. Appl Mechanics Mater 2015;771:50-4.
Imbronito AV, Okuda OS, de Freitas NM, Lotufo RF, Nunes FD. Detection of herpes viruses and periodontal pathogens in subgingival plaque of patients with chronic periodontitis, generalized aggressive periodontitis, or gingivitis. J Periodontol 2008;79:2313-21.
Schnabel RM, Boumans ML, Smolinska A, Stobberingh EE, Kaufmann R, Roekaerts PM, et al
. Electronic nose analysis of exhaled breath to diagnose ventilator-associated pneumonia. Respir Med 2015;109:1454-9.
Hajishengallis G. Periodontitis: From microbial immune subversion to systemic inflammation. Nat Rev Immunol 2015;15:30-44.
Longo DL, Fauci AS, Kasper DL, Hauser SL, Jameson JL, Loscalzo J. Harrison's Principles of Internal Medicine. Alabama: McGraw Hill Professional; 2012. p. 2.
Carranza F, Newman M, Takei H. Carranza's Clinical Periodontology. 10th
ed. Philadelphia: W.B. Saunders Company; 2006. p. 26-7.
Nani BD, Lima PO, Marcondes FK, Groppo FC, Rolim GS, Moraes AB, et al.
Changes in salivary microbiota increase volatile sulfur compounds production in healthy male subjects with academic-related chronic stress. PLoS One 2017;12:e0173686.
Ju Y, Zhang W, Pei Y, Yang G. H(2)S signaling in redox regulation of cellular functions. Can J Physiol Pharmacol 2013;91:8-14.
Persson S, Edlund MB, Claesson R, Carlsson J. The formation of hydrogen sulfide and methyl mercaptan by oral bacteria. Oral Microbiol Immunol 1990;5:195-201.
Persson S. Hydrogen sulfide and methyl mercaptan in periodontal pockets. Oral Microbiol Immunol 1992;7:378-9.
Biju T, Shabeer MM, Amitha R, Rajendra BP, Suchetha K. Comparative evaluation of serum superoxide dismutase and glutathione levels in periodontally diseased patients: An interventional study. Indian J Dent Res 2014;25:613-6.
] [Full text]
Peng Q, Tian R, Chen F, Li B, Gao H. Discrimination of producing area of Chinese Tongshan kaoliang spirit using gas array sensor system sensing characteristics combined with the chemometrics methods. Food Chem 2015;178:301-5.
Wilson AD. Advances in electronic-nose technologies for the detection of volatile biomarker metabolites in the human breath. Metabolites 2015;5:140-63.
Paulino TP, Magalhães PP, Thedei G Jr., Tedesco AC, Ciancaglini P. Use of visible light-based photodynamic therapy to bacterial photoinactivation. Biochem Mol Biol Educ 2005;33:46-9.
Paulino TP, Ribeiro KF, Thedei G Jr., Tedesco AC, Ciancaglini P. Use of hand held photopolymerizer to photoinactivate Streptococcus mutans
. Arch Oral Biol 2005;50:353-9.
Bansal S, Rastogi S, Bajpai M. Mechanical, chemical and herbal aspects of periodontitis: A review. Int J Pharm Sci Res 2012;3:1260-1.
Mysak J, Podzimek S, Sommerova P, Lyuya-Mi Y, Bartova J, Janatova T, et al. Porphyromonas gingivalis
: Major periodontopathic pathogen overview. J Immunol Res 2014;2014:476068.
Hidayat SH, Nuringtyas TR, Triyana K. Electronic Nose Coupled with Chemometrics for Monitoring of Tempeh Fermentation Process. 2018 4th
International Conference on Science and Technology (ICST); 2018.
Aparna BD Pt., Yadav S. Biofilms: Microbes and disease. Braz J Infect Dis 2008;12:526-30.
Lemos JA, Quivey RG Jr., Koo H, Abranches J. Streptococcus mutans
: A new gram-positive paradigm? Microbiology 2013;159:436-45.
Avilés-Reyes A, Miller JH, Simpson-Haidaris PJ, Lemos JA, Abranches J. Cnm is a major virulence factor of invasive Streptococcus mutans
and part of a conserved three-gene locus. Mol Oral Microbiol 2014;29:11-23.
Kawamoto A, Sugano N, Motohashi M, Matsumoto S, Ito K. Relationship between oral malodor and the menstrual cycle. J Periodontal Res 2010;45:681-7.
Almas K, Al-Hawish A, Al-Khamis W. Oral hygiene practices, smoking habit, and self-perceived oral malodor among dental students. J Contemp Dent Pract 2003;4:77-90.
Schulz S, Dickschat JS. Bacterial volatiles: The smell of small organisms. Nat Prod Rep 2007;24:814-42.
Marquis RE. Oxygen metabolism, oxidative stress and acid-base physiology of dental plaque biofilms. J Ind Microbiol 1995;15:198-207.
[Figure 1], [Figure 2], [Figure 3], [Figure 4], [Figure 5], [Figure 6], [Figure 7], [Figure 8], [Figure 9], [Figure 10], [Figure 11], [Figure 12]
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