<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JMMCE</journal-id><journal-title-group><journal-title>Journal of Minerals and Materials Characterization and Engineering</journal-title></journal-title-group><issn pub-type="epub">2327-4077</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jmmce.2018.61009</article-id><article-id pub-id-type="publisher-id">JMMCE-82176</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Chemistry&amp;Materials Science</subject><subject> Engineering</subject></subj-group></article-categories><title-group><article-title>
 
 
  Carbon Nanotube Filters for Removal of Air Pollutants from Mobile Sources
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>L.</surname><given-names>Romero-Guzmán</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>L.</surname><given-names>R. Reyes-Gutiérrez</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>E.</surname><given-names>T. Romero-Guzmán</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>E.</surname><given-names>Savedra-Labastida</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Universidad Autónoma del Estado de México, Toluca, México</addr-line></aff><aff id="aff3"><addr-line>Instituto Nacional de Investigaciones Nucleares, Ocoyoacác, México</addr-line></aff><aff id="aff2"><addr-line>División de Ciencias Básicas e Ingeniería, Departamento de Recursos de la Tierra, Universidad Autónoma Metropolitana-Lerma (UAM-L), Lerma, México</addr-line></aff><pub-date pub-type="epub"><day>25</day><month>12</month><year>2017</year></pub-date><volume>06</volume><issue>01</issue><fpage>105</fpage><lpage>118</lpage><history><date date-type="received"><day>7,</day>	<month>November</month>	<year>2017</year></date><date date-type="rev-recd"><day>28,</day>	<month>January</month>	<year>2018</year>	</date><date date-type="accepted"><day>31,</day>	<month>January</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The aim of this work was the assessment of the removal of air pollutants from mobile sources by commercial carbon nanotubes (CNTs). For this, the nanomaterial was characterized by different techniques: SEM, EDS, TEM, XRD, BET, and Raman. Subsequently, the CNTs were packed in a stainless steel filters which was designed from different prototypes that were developed during the investigation. Tests were performed in the TO-913 Verificenter Macrover Auto SAQ. Inc. de CV. The results revealed that particle type sand CNTs loading had greater effects on the efficiencies than the membrane type sand pore sizes tested. When collecting NO
  <sub>x</sub>, the efficiencies were observed relatively lower, below 20% for loadings of 0.3 - 1.5 mg/cm
  <sup>2</sup>. The studied CNTs were multi-walled: two layers, show a nonlinear growth and morphology varied since they are of different diameters and longitudes, it was observed that half of the nanotubes were coated with amorphous carbon. The composition is mainly carbon and oxygen, iron is also present. The adsorption capacity of CNTs was significantly influenced by the different aspects, like model, brand, fuel, year and the conditions of each car. The removal efficiencies of CNTs filters were shown to range from 10% to 95% in average for the CNTs loadings of 0.2 - 1.6 mg/cm
  <sup>2</sup>. When collecting CO, CO
  <sub>2</sub>, NO
  <sub>x</sub>, HC, the efficiencies were shown to range from 5% to 60% given similar CNTs loadings used.
 
</p></abstract><kwd-group><kwd>Carbon Nanotubes</kwd><kwd> NOx</kwd><kwd> Air Contamination</kwd><kwd> Removal Efficiency</kwd><kwd> Mobile</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The atmosphere is essential for life so their disorders have a major impact on man and other living beings and, in general, worldwide, the health, environ- mental, and economic impacts of air pollution are significant [<xref ref-type="bibr" rid="scirp.82176-ref1">1</xref>] . Nowadays, emission of greenhouse gases due to incomplete combustion of fossil fuels which causes global warming is one of the most important environmental problems in the world [<xref ref-type="bibr" rid="scirp.82176-ref2">2</xref>] . Air pollutants, such as carbon monoxide (CO), sulphur dioxide (SO<sub>2</sub>), nitrogen oxides (NO<sub>x</sub>), Volatile Organic Compounds (VOCs), ozone (O<sub>3</sub>), heavy metals, and respirable particulate matter (PM<sub>2.5</sub> and PM<sub>10</sub>), differ in their chemical composition, reaction properties, emission, time of disintegration and ability to diffuse in long or short distances [<xref ref-type="bibr" rid="scirp.82176-ref3">3</xref>] .</p><p>Gaseous pollutants contribute to a great extent in composition variations of the atmosphere and are mainly due to incomplete combustion of fossil fuels [<xref ref-type="bibr" rid="scirp.82176-ref4">4</xref>] . A major source of air pollution in urban areas is the incomplete combustion of diesel and gasoline fuels in cars, buses, trucks and other on-road transportation sources (aircrafts) [<xref ref-type="bibr" rid="scirp.82176-ref5">5</xref>] . The main anthropogenic sources are mobile and stationary combustion sources. As a result of fuel incomplete combustion, automobiles emit various compounds into the atmosphere in the form of exhaust. Mobile sources have a significant influence on both NO<sub>x</sub> and VOC pollution. Nitrogen oxides are emitted as NO which rapidly reacts with ozone or radicals in the atmosphere forming NO<sub>2</sub>. Moreover, ozone in the lower atmospheric layers is formed by a series of reactions involving NO<sub>2</sub> and volatile organic compounds, a process initiated by sun light. CO, on the other hand, is a product of incomplete combustion. Its major source is road transport too. A major class of compounds that fuel combustion and especially incomplete combustion processes for energy production and road transport are the major source of emission are the so called volatile organic compounds (VOCs). This is a class of compounds, which includes chemical species of organic nature such as benzene.</p><p>The complexity of spatial and temporal distributions of vehicle emissions/ activities and the mobility of vehicles make it very hard to quantify the proportions of ambient air pollutant concentrations attributable to on-road mobile sources [<xref ref-type="bibr" rid="scirp.82176-ref6">6</xref>] . Ambient concentrations of pollutants are correlated with emissions, but the contribution to ambient air quality of on road mobile sources is not necessarily equal to their contribution to regional emissions. This is true for several reasons such as the distribution of other pollution sources and regional topology, as well as meteorology.</p><p>Long-term epidemiologic studies have reported an increased risk of all causes of mortality, cardiopulmonary mortality, and lung cancer mortality associated with increasing exposures to air pollution. Adverse reproductive effects (risk for low birth weight) have also recently been reported in Eastern Europe and North America. Daily increments in the concentrations of air pollutants are associated, in the short term, an increase in the number of deaths in cities [<xref ref-type="bibr" rid="scirp.82176-ref7">7</xref>] .</p><p>For the developing countries there have been few or no monitoring programs to demonstrate the long term development, but in many cases there is indication of a rapidly deteriorating environment [<xref ref-type="bibr" rid="scirp.82176-ref8">8</xref>] . In Mexico, state or local agencies can have more restrictive standards. The vehicle emissions verification program in Mexico is intended to reduce air pollution emissions from vehicles by ensuring that those vehicles with high emission levels are correctly repaired. In Mexico, to date, only the Mexico City has established extensive standards more restrictive and these only for gasoline powered automobiles. For the gasoline-engine equipped vehicle population, the emissions verification program targets four types of pollution: hydrocarbons (HC), oxides of nitrogen (NO<sub>x</sub>), carbon monoxide (CO) and carbon dioxide (CO<sub>2</sub>). The vehicle emissions verification program requires the measurement of the vehicles tail-pipe emissions together with various visual checks of the vehicles principal emission control components. The cut-points are established for each contaminant based on two main criteria; the technical feasibility of achieving the desired level of emissions from the different vehicle specifications that are found in the population and the reduction that is required to reach and maintain an acceptable air quality within the city.</p><p>For all these reasons it is understood the urgency of seeking alternative technologies to avoid situations arise serious in the life of mankind and the entire biosphere. Sorbent-based processes for gas storage, separation, and purification have been the subjects of many research and studies during the past 50 years. Carbonaceous materials such as active carbon [<xref ref-type="bibr" rid="scirp.82176-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.82176-ref10">10</xref>] and carbon fiber [<xref ref-type="bibr" rid="scirp.82176-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.82176-ref12">12</xref>] have widely used in the gas sorption processes. Nanotechnology is nowadays one of the most important trends in science, perceived as one of the key technologies of the present century, its applications are variously. Nanotechnology includes the production of novel and revolutionary materials of the size of 100 nm or even smaller. Carbon nanotubes (CNTs) are part of these novel materials. In the recent years, one of the innovative proposals for controlling pollutant emissions are CNTs due to their distinctive chemical and physical properties like high BET area which enable them to be used in many applications, such as a new type of sorbent for environmental applications [<xref ref-type="bibr" rid="scirp.82176-ref13">13</xref>] - [<xref ref-type="bibr" rid="scirp.82176-ref20">20</xref>] . Recently, nanotube filter was successfully created and utilized to remove the biological agents from the water with filtration efficiency [<xref ref-type="bibr" rid="scirp.82176-ref21">21</xref>] and removing bioaerosols [<xref ref-type="bibr" rid="scirp.82176-ref22">22</xref>] . However, carbon nanotubes filter has not been evaluated in removing air pollutants of mobile sources despite its relevant advantages. In this study, carbon nanotubes filter were prepared by depositing carbon nanotubes on to membrane support of different materials with pore sizes of 10 mm. The removal efficiencies of the CNTs filters prepared were investigated when collecting air pollutants of car exhausts. To our best knowledge, this study report the use of CNTs filter in removing air pollutants of mobile sources and the information provided here is useful both in air pollutants study and air pollution control measures.</p></sec><sec id="s2"><title>2. Experimental Methods</title><sec id="s2_1"><title>2.1. Material and Method</title><p>Commercially available CNTs were provided by the Dr. Carlos Velasco and Dra. Ana Laura Mart&#237;nez-Hern&#225;ndez from the Applied Physics and Center for Advanced Technology in the UNAM Campus Juriquilla Quer&#233;taro, M&#233;xico. The physical properties of CNTs were obtained using different techniques.</p></sec><sec id="s2_2"><title>2.2. Physicochemical Characterization of CNTs</title><p>The CNTs were characterized after and before that air pollutants sorption process, for techniques such as Scanning Electron Microscopy (SEM), Energy Dispersive Spectrometry (EDS), X-ray Diffraction (XRD) and Brunauer, Emmett and Teller (BET), most common method used to describe specific surface area to compare the physicochemical differences.</p><sec id="s2_2_1"><title>2.2.1. Morphology and Elemental Composition</title><p>Scanning Electron Microscopy (SEM) was used to determine the morphology of the carbon nanotubes through a scanning electron microscope, model JEOL 5900 LV, at 25 kV. The samples were mounted on an aluminium holder. In all cases, the images were obtained with a backscattered electron detector. Energy X-ray Dispersion Spectroscopy (EDS) determined the semi-quantitative elemental chemical compositions of the samples with an EDAX-4 spectrometer.</p><p>Transmission Electron Microscopy (TEM) is the most important and reliable technique for correctly identifying the nature and the form of carbon nanomaterials in academic research and in industry. The information provided by TEM directly reveals both the surface and the intrinsic structure of the nanotube [<xref ref-type="bibr" rid="scirp.82176-ref23">23</xref>] . The observation for this research was carried out with a JEOL JEM-2010 TEM operating at 400 kV.</p></sec><sec id="s2_2_2"><title>2.2.2. Crystalline Components</title><p>Compounds were identified by comparing the diffraction patterns to the Joint Committee on Powder Diffraction Standards (JCPDS) using conventional methods An X-ray diffraction analysis was performed for CNTs. The samples were placed in a holder of Lucite and then on the goniometer of the diffractometer (Siemens D-5000 diffractometer with a copper anode X-ray tube with λ = 1.543 &#197;). Kα radiation was selected with a diffracted beam monochromator at 25 kV and 2θ steps of 0.02˚ for 50 min to acquire X-ray patterns from 4˚ to 70˚, with high enough intensities to achieve the lines to identify in angle 2θ the mineral components of the analysed material. Compounds were identified by comparing the diffraction patterns to the Joint Committee on Powder Diffraction Standards (JCPDS) using conventional methods [<xref ref-type="bibr" rid="scirp.82176-ref24">24</xref>] .</p></sec><sec id="s2_2_3"><title>2.2.3. Thermal Stability</title><p>5 mg of the samples were placed directly into platinum crucible, and the analysis was carried out under N<sub>2</sub> flow at the heating rate of 10˚C min<sup>−1</sup>, with the temperature ranging from room temperature up to 950˚C using a TGA-TDA 51 TA Instruments Thermo gravimetric Analyser.</p></sec><sec id="s2_2_4"><title>2.2.4. Specific Surface</title><p>Specific surface area (SSA, m<sup>2</sup>g<sup>−1</sup>) were determined for both dry and degassed natural carbon nanotubes using a multipoint N<sub>2</sub> adsorption/desorption Brunauer- Emmett-Teller (BET) method at room temperature in a Micrometrics BEL Japan INC surface area analyser.</p></sec><sec id="s2_2_5"><title>2.2.5. Raman Studies</title><p>Raman spectroscopy is one of the most powerful tools for characterization of CNTs. Without sample preparation, a fast and nondestructive analysis is possible. All allotropic forms of carbon are active in Raman spectroscopy [<xref ref-type="bibr" rid="scirp.82176-ref25">25</xref>] , and the position, width, and relative intensity of bands are modified according to the carbon forms [<xref ref-type="bibr" rid="scirp.82176-ref26">26</xref>] . The Raman analysis was carried out using a Horiba JobinYvon spectrometer, HR Lab Ram 800. The laser was used to excite the sample, 532 nm. All the measurements were performed at room temperature.</p></sec></sec><sec id="s2_3"><title>2.3. Preparation of CNTs Filters</title><p>Removed system was built as presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>, the filter was made of stainless steel with standard diameter of 0.05 m, inside it, on each side there was paper whatman No. 44 and 1 g of packed bed of CNTs. One of the most important features of this apparatus is its direct flow measurement and temperature of air pollutants before and after passing through the CNTs filter. The apparatus was put in exit tail pipe to obtain each component of gaseous emissions, the results of sorption experiments were obtained by gas analyser of one verificenter.</p><sec id="s2_3_1"><title>2.3.1. Interaction CNTs―Mobile Emissions</title><p>A study in 2009, realized by the Center for Sustainable Transport in Mexico, found that in the Toluca city, the car brands: Nissan-Tsuru 1997, 1999, 2008, Chevrolet-Chevy 1998, Chevrolet-Corsa 2007, have more presence and 87% of the vehicles are personal and private and four-fifths of them run every day. For this reason in it investigation, the vehicles were randomly selected and were used five cars of these brands. The experiments were carried out in the verificenter</p><p>TO-913 Macrover Auto SAQ. S.A. de C.V., located in Ignacio Comonfort Avenue, Santa Ana Tlapaltitl&#225;n, Toluca, M&#233;xico. The car emissions of hydrocarbons (HC), oxides of nitrogen (NO<sub>x</sub>), carbon monoxide (CO) and carbon dioxide (CO<sub>2</sub>), were verified according to program.</p></sec><sec id="s2_3_2"><title>2.3.2. Removal Efficiencies of CNTs Filter</title><p>In this study, the concentrations of air pollutants after passing through the CNTs filter were calculated using the following equation [<xref ref-type="bibr" rid="scirp.82176-ref22">22</xref>] :</p><p>RemovalefficiencyofCNTfilter = ( 1 − Cwith-CNTs Cwithout-CNTs &#215; 1 00 % )</p><p>where C<sub>with</sub><sub>-CNTs</sub> is the flow of air pollutants after passing through CNT filters, and C<sub>without</sub><sub>-CNTs</sub> is the flow of air pollutants passing through membrane supports without CNTs loading.</p></sec></sec></sec><sec id="s3"><title>3. Results and Discussion</title><sec id="s3_1"><title>3.1. Physicochemical Characterization of CNTs by Several Techniques</title><sec id="s3_1_1"><title>3.1.1. Morphology and Elemental Composition (SEM &amp; TEM)</title><p>1) Scanning Electron Microscopy before sorption process</p><p>The carbon nanotubes analysed in this work were colour black. The SEM image 20,000 magnification for CNTs is shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>(a), in this can be observed that the bulk of the material is mainly constituted by fibbers; the material has a variety in diameter from 25 to 130 nm and 15 to 50 μm in length.</p><p>In conjunction with electron microscopy, elemental chemical composition was determined. The identification of surface feature was performed by qualitative EDS analyses. The EDS results are: for the CNTSs were found: C (91.29%), O (6.23%) and Fe (2.48%). In this cases iron nanoparticles were used as the catalyst, for this the presence or iron in this percentage.</p><p>2) Scanning Electron Microscopy after sorption process</p><p>Below are the micrographs of the CNTS used in sorption of gaseous pollutant of exhaust from mobile sources, where it is observed that the morphology of the CNTS representative is unchanged, <xref ref-type="fig" rid="fig2">Figure 2</xref>(b), also in chemical composition, where in the initial percentage of unchanged: 82.70% C, 15.66% O, 1.24% Fe, however was found the presence of silicon (Si), although at a low concentration of 0.38%.</p><p>3) Transmission Electron Microscopy analysis</p><p>These studies confirm the collected material consists of multi-walled carbon nanotubes (MWCNTs), with the dominant tube diameter in the range 72.5 nm with length 50 μm and the inter-tube spacing is of 0.34 nm, <xref ref-type="fig" rid="fig3">Figure 3</xref>.</p></sec><sec id="s3_1_2"><title>3.1.2. X-Ray Diffraction (XRD)</title><p>According to the Joint Committee on Powder Diffraction Standard (JCPDS, card</p><p>01-075-2078), the main mineral compound present in CNTs is graphite. The intensity of the strongest peak to 26˚ for graphite is considered to represent the crystalline compound, and the intensity between 43˚ and 46˚ represents the background due to amorphous components. This behaviour indicates that the material does not suffer modification of its structure, <xref ref-type="fig" rid="fig4">Figure 4</xref>.</p></sec><sec id="s3_1_3"><title>3.1.3. Thermal Stability</title><p>Thermal analysis methods are useful for identifying relative changes due to processing. It was used to study the degree of CNTs purification [<xref ref-type="bibr" rid="scirp.82176-ref25">25</xref>] . The loss of weight were from 25 to 800˚C of 3.78%, from 800 to 870˚C of 0.46%, from 870 to 900˚C of 2.34% and 900 to 1000˚C of 3.71%. In agreement to the results, it is confirmed that the CNTs do not present a high loss of weight (10.5%), <xref ref-type="fig" rid="fig5">Figure 5</xref>.</p></sec><sec id="s3_1_4"><title>3.1.4. Specific Surface of Carbon Nanotubes</title><p>The total surface area (TSA) determined from classical BET method by physisorption of nitrogen at 78 K is presented. The CNTs showed that specific surface area is of 153 m<sup>2</sup>/g, the total pore volume of 0.9534 cm<sup>3</sup> g<sup>−1</sup> and an average pore diameter of 24.931 nm, classifying to the CNTs as mesoporous material (2 to 50 nm) according to the IUPAC classification. The data were analysed using the Langmuir adsorption model. It was concluded that CNTs had greater adsorption capacity, <xref ref-type="fig" rid="fig6">Figure 6</xref>.</p></sec><sec id="s3_1_5"><title>3.1.5. Raman Spectroscopy Studies of Carbon Nanotubes</title><p>The Raman spectrum of CNTs sample is indicated in <xref ref-type="fig" rid="fig7">Figure 7</xref>. As shown, the band at 1580 cm<sup>−1</sup> (G band) is due to tangential stretching of the carbon atoms in a two dimensional hexagonal lattice as a graphite sheet, this band reveals the presence of multi-walled nanotubes in the sample. The peak centered at around</p><p>1349 cm<sup>−1</sup> (D-band) indicates disturbances on the hybridization of sp<sup>2</sup> carbon atoms and has its overtone at 2681 cm<sup>−1</sup>, is mainly due to the presence of amorphous carbon and defects in the sample [<xref ref-type="bibr" rid="scirp.82176-ref27">27</xref>] . These two positions are close to 1346 cm<sup>−1</sup> and 1578 cm<sup>−1</sup> which have been reported in the literature as features for multi-walled nanotubes concentric hexagonal lattice [<xref ref-type="bibr" rid="scirp.82176-ref28">28</xref>] .</p></sec></sec><sec id="s3_2"><title>3.2. Removal Efficiencies of CNT Filters</title><sec id="s3_2_1"><title>3.2.1. CNTs BET before Sorption Process</title><p><xref ref-type="table" rid="table1">Table 1</xref> and <xref ref-type="table" rid="table2">Table 2</xref> show the vehicle models that were tested, presents the average removal efficiencies obtained, there can be seen that reduction of air pollutants using the sorption device packaged with the CNTS it is different for each vehicle.</p><p>For the tests conducted Corsa 2007, the flow was maintained at 80 mL/min, the temperature varied between 40˚C and 50˚C. For 1998 Chevy, the flow was 110 mL/min and the temperature at 70˚C, to Nissan models 1997 and 1999, the flow varied between 85 and 90 mL/min, the temperature was 85˚C, 2008 model presents a flow of 40 mL/min, and the temperature was 40˚C.</p><p>The maximum permissible emission of pollutants applies to vehicles that are</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Comparison of average emission results</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Vehicle</th><th align="center" valign="middle" >Model Year</th><th align="center" valign="middle"  colspan="2"  >Gases</th><th align="center" valign="middle" >unfiltered</th><th align="center" valign="middle" >with filter</th><th align="center" valign="middle" >% Rem.</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >Corsa</td><td align="center" valign="middle"  rowspan="4"  >2007</td><td align="center" valign="middle" >CO</td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >0.19</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >89</td></tr><tr><td align="center" valign="middle" >HC</td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >62</td></tr><tr><td align="center" valign="middle" >CO<sub>2</sub></td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >15.90</td><td align="center" valign="middle" >15.80</td><td align="center" valign="middle" >0.6</td></tr><tr><td align="center" valign="middle" >NO<sub>x</sub></td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >335</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >89</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Nissan Tsuru</td><td align="center" valign="middle"  rowspan="4"  >1997</td><td align="center" valign="middle" >CO</td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >0.66</td><td align="center" valign="middle" >0.57</td><td align="center" valign="middle" >14</td></tr><tr><td align="center" valign="middle" >HC</td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >370.4</td><td align="center" valign="middle" >128</td><td align="center" valign="middle" >65</td></tr><tr><td align="center" valign="middle" >CO<sub>2</sub></td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >11.52</td><td align="center" valign="middle" >11.06</td><td align="center" valign="middle" >4</td></tr><tr><td align="center" valign="middle" >NO<sub>x</sub></td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >23</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Nissan Tsuru</td><td align="center" valign="middle"  rowspan="4"  >1999</td><td align="center" valign="middle" >CO</td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >270</td><td align="center" valign="middle" >160</td><td align="center" valign="middle" >41</td></tr><tr><td align="center" valign="middle" >HC</td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >134</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >25</td></tr><tr><td align="center" valign="middle" >CO<sub>2</sub></td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >14.19</td><td align="center" valign="middle" >10.06</td><td align="center" valign="middle" >29</td></tr><tr><td align="center" valign="middle" >NO<sub>x</sub></td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >468</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >57</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Nissan Tsuru</td><td align="center" valign="middle"  rowspan="4"  >2008</td><td align="center" valign="middle" >CO</td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >0.52</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >96</td></tr><tr><td align="center" valign="middle" >HC</td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >17</td></tr><tr><td align="center" valign="middle" >CO<sub>2</sub></td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >11.71</td><td align="center" valign="middle" >8.9</td><td align="center" valign="middle" >24</td></tr><tr><td align="center" valign="middle" >NO<sub>x</sub></td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >19.2</td><td align="center" valign="middle" >5.6</td><td align="center" valign="middle" >70.8</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Chevrolet Chevy</td><td align="center" valign="middle"  rowspan="4"  >1998</td><td align="center" valign="middle" >CO</td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >100</td></tr><tr><td align="center" valign="middle" >HC</td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >2.4</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >99</td></tr><tr><td align="center" valign="middle" >CO<sub>2</sub></td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >14.69</td><td align="center" valign="middle" >14.02</td><td align="center" valign="middle" >4.6</td></tr><tr><td align="center" valign="middle" >NO<sub>x</sub></td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >80</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Comparison of average emission results, fast idle</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Vehicle</th><th align="center" valign="middle" >Model Year</th><th align="center" valign="middle"  colspan="2"  >Gases</th><th align="center" valign="middle" >unfiltered</th><th align="center" valign="middle" >With filter</th><th align="center" valign="middle" >% Rem.</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >CORSA</td><td align="center" valign="middle"  rowspan="4"  >2007</td><td align="center" valign="middle" >CO</td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >HC</td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >33</td></tr><tr><td align="center" valign="middle" >CO<sub>2</sub></td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >15.80</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >NO<sub>x</sub></td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >180</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >89</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Nissan Tsuru</td><td align="center" valign="middle"  rowspan="4"  >1997</td><td align="center" valign="middle" >CO</td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >0.69</td><td align="center" valign="middle" >0.69</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >HC</td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >173.2</td><td align="center" valign="middle" >159.8</td><td align="center" valign="middle" >8</td></tr><tr><td align="center" valign="middle" >CO<sub>2</sub></td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >11.96</td><td align="center" valign="middle" >11.89</td><td align="center" valign="middle" >0.6</td></tr><tr><td align="center" valign="middle" >NO<sub>x</sub></td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >99.6</td><td align="center" valign="middle" >30.4</td><td align="center" valign="middle" >70</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Nissan Tsuru</td><td align="center" valign="middle"  rowspan="4"  >1999</td><td align="center" valign="middle" >CO</td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >20</td></tr><tr><td align="center" valign="middle" >HC</td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >6.9</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >CO<sub>2</sub></td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >12.4</td><td align="center" valign="middle" >9.7</td><td align="center" valign="middle" >22</td></tr><tr><td align="center" valign="middle" >NO<sub>x</sub></td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >456</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >76</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Nissan Tsuru</td><td align="center" valign="middle"  rowspan="4"  >2008</td><td align="center" valign="middle" >CO</td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >0.5</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >96</td></tr><tr><td align="center" valign="middle" >HC</td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >6.7</td><td align="center" valign="middle" >16</td></tr><tr><td align="center" valign="middle" >CO<sub>2</sub></td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >11.02</td><td align="center" valign="middle" >31</td></tr><tr><td align="center" valign="middle" >NO<sub>x</sub></td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >17.7</td><td align="center" valign="middle" >7</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Chevrolet Chevy</td><td align="center" valign="middle"  rowspan="4"  >1998</td><td align="center" valign="middle" >CO</td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >0.44</td><td align="center" valign="middle" >37</td></tr><tr><td align="center" valign="middle" >HC</td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >128</td><td align="center" valign="middle" >115</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle" >CO<sub>2</sub></td><td align="center" valign="middle" >% Vol</td><td align="center" valign="middle" >18.5</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >41</td></tr><tr><td align="center" valign="middle" >NO<sub>x</sub></td><td align="center" valign="middle" >ppm</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >93</td></tr></tbody></table></table-wrap><p>evaluated under this test, are given by the Mexican Official Standards NOM- 041-SEMARNAT-1999 [<xref ref-type="bibr" rid="scirp.82176-ref29">29</xref>] and NOM-050-SEMARNAT-1993 [<xref ref-type="bibr" rid="scirp.82176-ref30">30</xref>] that apply to gasoline vehicles.</p><p>As shown in <xref ref-type="table" rid="table1">Table 1</xref>, the summary Comparison of Average Emission Results, was significantly higher variability was observed for the removal efficiency of the MWNT filters when collecting CO and NO<sub>2</sub>. Nonetheless, the average removal efficiency of the CNT filters were observed for all air pollutants, but the removal efficiency was less. For the first test, the emissions were taken when vehicles were accelerated to 4 km/h.</p><p><xref ref-type="table" rid="table2">Table 2</xref> shows summary Comparison of Average Emission Results for the test fast idle (40 km/h) for different vehicles, shows the removal efficiencies of MWNT filters when collecting four air pollutants, CO, HC, CO<sub>2</sub>, NO<sub>x</sub>. However the removal efficiency for the CNT, was found significantly higher for NOx in all vehicles.</p><p>Nissan vehicles presented variability in its results; this is because they are different models. However the 2008 model had higher removal efficiency of the contaminants. The vehicle Corsa 2007 Chevy 1998 showed higher removal efficiency for NO<sub>x</sub>.</p></sec><sec id="s3_2_2"><title>3.2.2. CNTs BET after Sorption Process</title><p>After the removal, the CNTs showed that decrease 16% in BET surface area, it was 128 m<sup>2</sup> g<sup>−1</sup>. The total pore volume of 0.9999 cm<sup>3</sup> g<sup>−1</sup> and an average pore diameter of 31.06 nm, according to the IUPAC classification as mesoporous material (2 to 50 nm). The data were analysed using the Langmuir adsorption model. It was concluded that CNTs do not showed changes in adsorption capacity. Nitrogen adsorption isotherm of the CNTS, after sorption, follows the behavior of type IV and V of the physical adsorption isotherms IUPAC.</p></sec></sec></sec><sec id="s4"><title>4. Conclusions</title><p>The CNTs were identified such as multi-called material and they were composed of carbon, 91.29% and oxygen, 6.23%. The characterization of these showed that the bulk is mainly constituted by fibbers. XRD confirm the presence of graphite. They are formed of two layers according Raman studies.</p><p>They have a specific surface area of 153 m<sup>2</sup>/g classifying them as mesoporous material, but after removal gases, the specific surface area decreases to 128 m<sup>2</sup>/g, showing that gases were sorbed. CNTs can be used to remove gases harmful to the health of mobile sources, but their efficiency depends of different variants.</p></sec><sec id="s5"><title>Acknowledgements</title><p>We are grateful to the personal of RAMAT and ININ for their technical help: SEM, TEM, BET and TGA; and to Dr. C. Velasco-Santos and Dra. Ana Laura Mart&#237;nez-Hern&#225;ndez from the Instituto Tecnol&#243;gico de Quer&#233;taro. Av. Tecno- l&#243;gico S/N esquina Gral. Mariano Escobedo, Colonia Centro Hist&#243;rico. C.P. 76000. M&#233;xico. Centro de F&#237;sica Aplicada y Tecnolog&#237;a Avanzada CFATA- UNAM Campus Juriquilla Quer&#233;taro for the material.</p></sec><sec id="s6"><title>Cite this paper</title><p>Romero-Guzm&#225;n, L., Reyes-Guti&#233;rrez, L.R., Romero-Guzm&#225;n, E.T. and Savedra-Labastida, E. (2018) Car- bon Nanotube Filters for Removal of Air Pollutants from Mobile Sources. Journal of Minerals and Materials Characterization and Engineering, 6, 105-118. https://doi.org/10.4236/jmmce.2018.61009</p></sec></body><back><ref-list><title>References</title><ref id="scirp.82176-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Chabaan, F.B., Nuwayhid, I. and Djoundourian, S. (2001) A Study of Social and Economic Implications of Mobile Sources on Air Quality in Lebanon. 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