<?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">JSBS</journal-id><journal-title-group><journal-title>Journal of Sustainable Bioenergy Systems</journal-title></journal-title-group><issn pub-type="epub">2165-400X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jsbs.2016.62003</article-id><article-id pub-id-type="publisher-id">JSBS-66266</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Engineering</subject></subj-group></article-categories><title-group><article-title>
 
 
  &lt;i&gt;In Situ&lt;/i&gt; Transesterification of Wet Marine and Fresh Water Microalgae for Biodiesel Production and Its Effect on the Algal Residue
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>amoru</surname><given-names>A. Salam</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>Sharon</surname><given-names>B. Velasquez-Orta</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>Adam</surname><given-names>P. Harvey</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>School of Chemical Engineering and Advanced Materials (CEAM), University of Newcastle upon Tyne,
Newcastle upon Tyne, UK</addr-line></aff><aff id="aff1"><addr-line>Department of Chemical Engineering, Faculty of Engineering, University of Abuja, Abuja, Nigeria</addr-line></aff><pub-date pub-type="epub"><day>06</day><month>05</month><year>2016</year></pub-date><volume>06</volume><issue>02</issue><fpage>17</fpage><lpage>30</lpage><history><date date-type="received"><day>25</day>	<month>February</month>	<year>2016</year></date><date date-type="rev-recd"><day>accepted</day>	<month>3</month>	<year>May</year>	</date><date date-type="accepted"><day>6</day>	<month>May</month>	<year>2016</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>
 
 
  This article reports a high yielding technique of synthesizing zirconium dodecyl sulphate (“ZDS”) for 
  in situ transesterification of 
  Nannochloropsis occulata and 
  Chlorella vulgaris for fatty acid methyl ester (FAME) production. ZDS produced a significantly higher FAME yield in N. occulata than in C. vulgaris (p = 0.008). The varying performance of ZDS in the two species could be due to their different cell wall chemistries. Sodium dodecyl sulphate (SDS) in H2SO4 for FAME enhancement from the two species was also studied. Treatment with SDS in H2SO4 increased the FAME production rate in both species. Residual protein content after the in situ transesterification in 
  C. vulgaris and N. occulata reduced respectively by 6.5% and 10%. The carbohydrate content was reduced by 71% in 
  C. vulgaris and 65% in 
  N. occulata. The water tolerance of the process when using H2SO4, with or without SDS, was evaluated by hydrating the two species with 10% - 30% distilled water (w/w dry algae). The FAME concentration began to diminish only at 30% water content in both species. Furthermore, the presence of a small amount of water in the biomass or methanol increased the lipid extraction efficiency, improving the FAME yield, rather than inhibiting the reaction.
 
</p></abstract><kwd-group><kwd>Biodiesel (Fatty Acid Methyl Ester)</kwd><kwd> Cell Wall</kwd><kwd> &lt;i&gt;In Situ&lt;/i&gt; Transesterification</kwd><kwd> Surfactant</kwd><kwd> Surfactant Catalyst</kwd><kwd> Wet Microalgae</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Environmental concerns and energy security contribute to the global increase in biodiesel. Different biodiesel feedstocks have been explored, including food oil crops [<xref ref-type="bibr" rid="scirp.66266-ref1">1</xref>] , non-food oil crop such as Jatropha curcas [<xref ref-type="bibr" rid="scirp.66266-ref2">2</xref>] and microalgae [<xref ref-type="bibr" rid="scirp.66266-ref3">3</xref>] - [<xref ref-type="bibr" rid="scirp.66266-ref5">5</xref>] . Food oil crops are not sustainable, as freshwater and considerable hectares of arable land are required for their cultivation [<xref ref-type="bibr" rid="scirp.66266-ref6">6</xref>] . Non-food oil crops and waste oil can only supply limited quantities of biofuels, so cannot meet world transport fuels requirements.</p><p>Biodiesel can be produced from microalgae through reactive extraction (“in situ transesterification”) or a two- step transesterification. In a two-step transesterification, pre-extracted oil from microalgae can be converted into fatty acid methyl ester (FAME) (“biodiesel”) with alkalised or acidified methanol. Alternatively, algal FAME can be produced via in situ transesterification by contacting the algal biomass directly with an alcohol containing a catalyst [<xref ref-type="bibr" rid="scirp.66266-ref3">3</xref>] - [<xref ref-type="bibr" rid="scirp.66266-ref5">5</xref>] . It is potentially a cost-effective alternative way of producing algal FAME due to its elimination of the solvent extraction step and its higher water tolerance [<xref ref-type="bibr" rid="scirp.66266-ref3">3</xref>] - [<xref ref-type="bibr" rid="scirp.66266-ref5">5</xref>] as the solvent extraction and drying steps account for ~90% of the process energy in a two-step transesterification of algal oil to FAME [<xref ref-type="bibr" rid="scirp.66266-ref7">7</xref>] .</p><p>Despite the advantages of microalgae oil as biodiesel feedstock, algal biodiesel production is still at laboratory scale due to technical challenges required to be solved to make it economical and sustainable [<xref ref-type="bibr" rid="scirp.66266-ref8">8</xref>] . Indeed complete drying of microalgae to the level required by two steps transesterification is energy intensive and contributes to the blockage in commercialisation of algal biodiesel. A water tolerant FAME extraction, perhaps by increasing the water tolerance of the reaction step [<xref ref-type="bibr" rid="scirp.66266-ref9">9</xref>] will contribute to the reduction in drying costs. In addition, efficient utilisation of algal residue for biogas production has been suggested as an approach to improve economy of algal biofuel [<xref ref-type="bibr" rid="scirp.66266-ref8">8</xref>] . Whole algae or spent lipid-extracted algal residue has been shown to be feasible for producing biogas via anaerobic digestion [<xref ref-type="bibr" rid="scirp.66266-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.66266-ref11">11</xref>] but little or no information are available in the literature on the use of algal residue obtain from in situ transesterification for biogas production. In situ transesterification has different process conditions with lipid extraction due to different solvent and inclusion of catalyst in in situ transesterification. Therefore, algal residue obtained from lipid-extracted microalgae and reactive extracted microalgae are expected to be different.</p><p>In situ transesterification are usually catalysed with homogeneous NaOH and H<sub>2</sub>SO<sub>4</sub>. When H<sub>2</sub>SO<sub>4</sub> is used, a high concentration of the catalyst is always required to achieve high FAME yield [<xref ref-type="bibr" rid="scirp.66266-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.66266-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.66266-ref34">34</xref>] . However, the need to neutralise the unreacted acid in the product streams will increase operating costs to some extent. A surfactant catalyst, cerium (III) trisdodecyltrihydrate, has been shown to promote transesterification of triglycerides and esterification of free fatty acids [<xref ref-type="bibr" rid="scirp.66266-ref13">13</xref>] . Inclusion of sodium dodecyl sulphate (SDS) in water has been reported to increase oil extraction from canola seeds [<xref ref-type="bibr" rid="scirp.66266-ref14">14</xref>] . Considering the fact that SDS is a surfactant used for lysing cells to recover intracellular components [<xref ref-type="bibr" rid="scirp.66266-ref15">15</xref>] , its inclusion in acid catalyst could increase in situ transesterification FAME production yield/rate [<xref ref-type="bibr" rid="scirp.66266-ref9">9</xref>] .</p><p>This article compares the effect of SDS in H<sub>2</sub>SO<sub>4</sub> or zirconium dodecyl sulphate (ZDS) to catalyse in situ transesterification for FAME enhancement in N. occulata and C. vulgaris. These two species are selected due to their large scale cultivation history, and their varying cell wall chemistries. ZDS is a “Lewis acid-surfactant- combine” catalyst and its cell wall disruption for FAME enhancement is explored. Furthermore, the effect of including SDS in H<sub>2</sub>SO<sub>4</sub> on the water tolerance of the in situ transesterification of both microalgae was evaluated. This is important, as complete drying of microalgae is energy intensive and render algal biodiesel production uneconomical and unsustainable. Small amounts of water have been reported to significantly decrease conversion during two step transesterification of vegetable oil [<xref ref-type="bibr" rid="scirp.66266-ref16">16</xref>] . The effect of the process conditions of in situ transesterification on the residual protein and carbohydrate is studied to check the potential of utilizing the residual microalgae for biogas production. This has not been investigated in the literature.</p></sec><sec id="s2"><title>2. Material and Methods</title><sec id="s2_1"><title>2.1. Microalgae Culture and Their Major Biochemical Compositions</title><p>Concentrated wet N. occulata was purchased from Varicon Aqua Solutions (London, UK). A frozen sample was freeze dried at −40˚C for ~24 h in a ThermoModulyo D Freeze Dryer. C. vulgaris was purchased in dried form from Chlorella Europe, UK. The two species were further dried at 60˚C in a moisture analyser to preserve its biochemical compositions [<xref ref-type="bibr" rid="scirp.66266-ref17">17</xref>] until a constant mass. The moisture content of the resulting dried microalgae was taken as the reference i.e. 0% moisture (w/w dry algae). The total lipids content were measured by Folch et al. [<xref ref-type="bibr" rid="scirp.66266-ref18">18</xref>] . The carbohydrate contents of both species were measured by acid digestion [<xref ref-type="bibr" rid="scirp.66266-ref19">19</xref>] . Elemental (CHN) analysis was measured with a Carlo Erba 1108 elemental analyser. After that, their protein content were calculated by multiplying the nitrogen content with a factor 4.75, the nitrogen-protein conversion factor for microalgae of Lourenc et al. [<xref ref-type="bibr" rid="scirp.66266-ref20">20</xref>] . The free fatty acid (FFA) and cell wall lipids (phospholipids and glycolipids) of both species were measured using the solid phase extraction method [<xref ref-type="bibr" rid="scirp.66266-ref21">21</xref>] .</p></sec><sec id="s2_2"><title>2.2. Determination of Maximum FAME Content</title><p>The maximum FAME concentration in each sample was quantified using Garces and Mancha’s method [<xref ref-type="bibr" rid="scirp.66266-ref22">22</xref>] . A methylating mixture of methanol, toluene, 2, 2-dimethoxypropane, and sulphuric acid at a volumetric ratio of 39:20:5:2 was prepared. The mixture was then thoroughly mixed using a vortex mixer. A homogeneous mixture containing 3.3 mL of the methylating mixture and 1.7 mL of heptane was added to 0.2 g of each sample of the microalgae and vortexed well. After this, the mixture was trans esterified in an IKA incubator at 60˚C; 450 rpm for 12 h. The sample was then kept in a freezer to quench the reaction. The resulting upper FAME layer was carefully pipetted into a pre-weighed centrifuge tube and weighed. A 0.1 mL of an internal standard solution: methyl heptadecanoate (Sigma Aldrich, UK, 10 mg/(mL methanol) was mixed with the upper FAME layer and stirred thoroughly to form homogeneous mixture. 1 &#181;L of the homogeneous mixture was injected into the GC and data was collected using Data Apex Clarity software, UK as explained in the section 2.6. The maximum FAME content in the sample was calculated by multiplying the FAME concentration obtained by the mass of the upper FAME layer.</p></sec><sec id="s2_3"><title>2.3. Catalyst Synthesis</title><p>Zirconium (IV) dodecyl sulphate (Zr [OSO<sub>3</sub>C<sub>12</sub>H<sub>25</sub>]<sub>4</sub>) was synthesized according to the method used by Salam et al. [<xref ref-type="bibr" rid="scirp.66266-ref9">9</xref>] . FTIR spectra of SDS and ZDS were recorded on a Varian 800 FT IR. FT IR spectrum of sodium dodecyl sulphate was compared with that of zirconium dodecyl sulphate synthesized for structure confirmation [<xref ref-type="bibr" rid="scirp.66266-ref13">13</xref>] .</p></sec><sec id="s2_4"><title>2.4. Quantification of Cell Disruption after in Situ Transesterification</title><p>The amount of chlorophyll extracted from the microalgae has been correlated with cell wall disruption [<xref ref-type="bibr" rid="scirp.66266-ref23">23</xref>] . The total chlorophyll A, B and C obtained after the in situ transesterification by the different catalysts was measured using a modification of Gerde et al.’s method [<xref ref-type="bibr" rid="scirp.66266-ref23">23</xref>] . To study the extent of cell disruption of the C. vulgaris and N. occulata, 0.47 mL of methanol was added to a 100 mg of dried microalgae in a 2.5 mL tube followed by 100% H<sub>2</sub>SO<sub>4</sub> (w/w oil). To another tube containing the same amount of microalgae, methanol and H<sub>2</sub>SO<sub>4</sub>, 9 mg sodium dodecyl sulphate (SDS) was added to study the effect on cell disruption of including SDS in H<sub>2</sub>SO<sub>4</sub>. A third test tube was used with 100% ZDS (w/w lipids), 100 mg of microalgae and 0.47 mL of methanol. The reactions were allowed to progress for 24 h, at 32˚C to avoid degradation of the chlorophyll at a stirring rate of 450 rpm using IKA KS 4000 icontrol incubator shaker (IKA, Germany). At the end of the reaction, the samples were centrifuged at 17,000 g for 10 min using Accu Spin Micro 17 centrifuge (Fisher Scientific, UK). Methanol was used as blank. The absorbance of the supernatant obtained was measured at 664, 647, and 630 nm and the chlorophyll concentrations in &#181;g/(mL) were calculated using the Jeffrey and Humphrey (1975) formulae [<xref ref-type="bibr" rid="scirp.66266-ref24">24</xref>] :</p><disp-formula id="scirp.66266-formula32"><label>(1)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/1-2210161x7.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.66266-formula33"><label>(2)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/1-2210161x8.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.66266-formula34"><label>(3)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/1-2210161x9.png"  xlink:type="simple"/></disp-formula><p>where:</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-2210161x10.png" xlink:type="simple"/></inline-formula>is chlorophyll a,</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-2210161x11.png" xlink:type="simple"/></inline-formula>is chlorophyll b,</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-2210161x12.png" xlink:type="simple"/></inline-formula>is chlorophyll c.</p></sec><sec id="s2_5"><title>2.5. Experimental Designs</title><p>A8.5 mol. H<sub>2</sub>SO<sub>4</sub>/(mol. lipids) which equals to 100% (w/w lipids) was used. Zirconium dodecyl sulphate (“ZDS”) was fixed as 100% ZDS (w/w lipids). These amounts of catalysts used in this study were based on the optimum of 100% H<sub>2</sub>SO<sub>4</sub> (w/w oil) reported by Ehimen et al. [<xref ref-type="bibr" rid="scirp.66266-ref25">25</xref>] . A 9 mg of sodium dodecyl sulphate was added to the H<sub>2</sub>SO<sub>4</sub> to study the effect of combination of a surfactant and homogeneous H<sub>2</sub>SO<sub>4</sub> catalyst on FAME yield. This amount of SDS is significantly greater than 2 mol. SDS/(mol. oil) reported to be enough to solubilise the phospholipid bilayer [<xref ref-type="bibr" rid="scirp.66266-ref26">26</xref>] . The molar ratio of methanol to lipid was 600:1, which equals to 0.0047 mL/(mg algae cells). A temperature of 60˚C was used for all the experiments as most previous reports on in situ transesterification of microalgae were optimised at 60˚C when methanol is used as solvent [<xref ref-type="bibr" rid="scirp.66266-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.66266-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.66266-ref27">27</xref>] . A 880 g/ (mol.) was the average molecular mass of the oil used to calculate the entire molar ratios. Rehydrated samples of N. occulata and C. vulgaris were prepared by adding 10%, 20%, and 30% distilled water (w/w dry algae), then allowing the samples to equilibrate for 1 h. The resulting wet biomass was then transesterified using H<sub>2</sub>SO<sub>4</sub>, with or without SDS, to isolate the water tolerance effect. All in situ transesterification were conducted in 15 mL glass tubes containing 100 mg of microalgae. The tubes were loaded in an IKA KS 4000 icontrol incubator shaker (IKA, Germany) and kept at a constant temperature of 60˚C. A high stirring rate of 450 rpm was used to prevent mass transfer limitations. The acid catalyst in each sample taken at each specified in situ transesterification was neutralised with calcium oxide (CaO) to quench the reaction. The biomass was separated from the liquid by centrifugation. The biodiesel filtrate (a mixture of methanol, FAME and by-products) was stored in pre-weighed tubes and weighed. The FAME concentration in the biodiesel filtrate was measured by gas chromatography, as explained in section 2.6.</p></sec><sec id="s2_6"><title>2.6. Analytical Techniques</title><p>The European standard procedure [<xref ref-type="bibr" rid="scirp.66266-ref28">28</xref>] was used to determine the FAME concentration after the in situ transesterification. The biodiesel filtrate was mixed with 0.1 mL of an internal standard solution: methyl heptadecanoate (Sigma Aldrich, UK, 10 mg/(mL methanol) in 2 mL vials. 1 &#181;L of the homogeneous mixture was injected into the GC and data was collected using Data Apex Clarity software, UK. The gas chromatography, GC was set to the following conditions: carrier gas: helium, 4.8 &#215; 10<sup>4</sup> Pa; air pressure, 2.2 &#215; 10<sup>5</sup> Pa; hydrogen pressure, 1.5 &#215; 10<sup>5</sup> Pa; a capillary column head pressure was adjusted to 3.1 &#215; 10<sup>4</sup> Pa. The oven temperature was maintained at 230˚C for 25 minutes. Heat rate was 15˚C/min; initial temperature was set at 150˚C and held for 2 min; final temperature was set at 210˚C and held for 20 min; injection temperature was 250˚C while detector temperature was 260˚C. The biodiesel rich filtrate was mixed with 0.2 mL of an internal standard solution: methyl heptadecanoate (Sigma Aldrich, UK, 10 mg/(mL methanol) in 2 mL vials. 1 &#181;L of the homogeneous mixture was injected into the GC using 10 &#181;l micro syringe (SGE, Australia) and data was collected using Data Apex Clarity software, UK. The column used was CP WAX 52 CB 30 m &#215; 0.32 mm (0.25 &#181;m) (Agilent, Netherlands).The mass of FAME obtained in the biodiesel-rich phase from the experiments was calculated by multiplying the mass of the final biodiesel mixture obtained and the FAME concentration measured by the GC. The FAME yield was calculated by dividing the mass of FAME obtained by the maximum FAME available in the algae.</p><disp-formula id="scirp.66266-formula35"><label>(4)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/1-2210161x13.png"  xlink:type="simple"/></disp-formula><p>where:</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-2210161x14.png" xlink:type="simple"/></inline-formula>are the total peak areas from C8:0-C20:1.</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-2210161x15.png" xlink:type="simple"/></inline-formula>is the peak area of the methyl heptadecanoate.</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-2210161x16.png" xlink:type="simple"/></inline-formula>is the volume in ml of the methyl heptadecanoate used.</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-2210161x17.png" xlink:type="simple"/></inline-formula>is the concentration in mg/(mL of the methyl heptadecanoate solution), and</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-2210161x18.png" xlink:type="simple"/></inline-formula>is the mass of the sample in mg.</p><p>The mass of the methyl ester in the sample was calculated by multiplying the FAME concentration (C) with the mass of the biodiesel reach filtrate from the in situ transesterification.</p><p>Mass of the methyl ester <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-2210161x19.png" xlink:type="simple"/></inline-formula> (5)</p><p>Where w is the mass of the biodiesel filtrate</p><p>Yield (% w/w) was the determined by comparing the mass of methyl ester obtained with the maximum FAME in the sample.</p><disp-formula id="scirp.66266-formula36"><label>(6)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/1-2210161x20.png"  xlink:type="simple"/></disp-formula></sec><sec id="s2_7"><title>2.7. Statistical Analysis</title><p>An independent sample t-test was conducted to determine whether there is a significant difference i.e. (p &lt; 0.5) between:</p><p>1) Means FAME yields obtained in N. occulata and C. vulgaris when H<sub>2</sub>SO<sub>4</sub>, H<sub>2</sub>SO<sub>4</sub> + SDS and ZDS were used for the in situ transesterification.</p><p>2) Means chlorophyll extracted in N. occulata and C. vulgaris when H<sub>2</sub>SO<sub>4</sub>, H<sub>2</sub>SO<sub>4</sub> + SDS, ZDS and the control i.e. when no catalyst was used.</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><sec id="s3_1"><title>3.1. Catalyst Synthesis and Characterization</title><p>Zirconium (IV) dodecyl sulphate (Zr [OSO<sub>3</sub>C<sub>12</sub>H<sub>25</sub>]<sub>4</sub>) was synthesized by method used by Salam et al. [<xref ref-type="bibr" rid="scirp.66266-ref9">9</xref>] . It involves inclusion of 4% KCl (w/w zirconium dodecyl sulphate solution) which significantly increased the yield of Zirconium (IV) dodecyl sulphate. This approach is a new method we developed and is fundamentally different from what was reported by Zolfigol et al. [<xref ref-type="bibr" rid="scirp.66266-ref29">29</xref>] . The infrared spectrum of zirconium dodecyl sulphate (ZDS) was compared with that of sodium dodecyl sulphate (SDS) because the major difference between them is the zirconium and sodium cation. The spectra of the two compounds are shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p><p>It can be seen that the spectra of the two compounds are very similar, which is expected because of the dodecyl group they have in common. However, the shifting and splitting observed in the zirconium dodecyl sulphate head group region (1213-576 cm<sup>−1</sup>), when compared to sodium dodecyl sulphate, is an indication of the interaction of dodecyl sulphate anions with a more electronegative substituent (Zr<sup>4+</sup>) [<xref ref-type="bibr" rid="scirp.66266-ref30">30</xref>] .</p><p><xref ref-type="table" rid="table1">Table 1</xref> shows the functional groups assigned to stretching and bending vibration modes of the dodecyl sulphate alkyl chain and the head groups. The SDS spectrum obtained is similar to what was reported by Ghesti et al. [<xref ref-type="bibr" rid="scirp.66266-ref13">13</xref>] . All the listed functional groups can be seen in the ZDS and SDS compounds, confirming to some degree that the compound synthesised is ZDS.</p></sec><sec id="s3_2"><title>3.2. In Situ Transesterification Using H<sub>2</sub>SO<sub>4</sub></title><p>The amount of total lipids in N. occulata was determined as 17% &#177; 0.8% (w/w dry algae) while that of C. vulgaris was 15% &#177; 0.9% (w/w dry algae). The free fatty acid (FFA) content in the total lipids of N. occulata and C. vulgaris were determined as 18.3% &#177; 2.4% (w/w total lipids) and 6.1% &#177; 0.3% (w/w total lipids), respectively. These levels of FFA necessitate the use of acid rather than base catalysts. Lotero et al. [<xref ref-type="bibr" rid="scirp.66266-ref33">33</xref>] reported an upper limit of 0.5% FFA content to prevent saponification for conventional alkaline transesterification. The maximum</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> FTIR spectra of sodium dodecyl sulphate (SDS) and zirconium dodecyl sulphate (ZDS)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-2210161x21.png"/></fig><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> FTIR band assigned for ZDS and SDS</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Wavenumber (cm<sup>−1</sup>)</th><th align="center" valign="middle" >Assignments</th><th align="center" valign="middle" >Reference</th></tr></thead><tr><td align="center" valign="middle" >2937</td><td align="center" valign="middle" >asymmetric (CH<sub>3</sub>)</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.66266-ref31">31</xref>]</td></tr><tr><td align="center" valign="middle" >2915</td><td align="center" valign="middle" >asymmetric (CH<sub>2</sub>)</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.66266-ref31">31</xref>]</td></tr><tr><td align="center" valign="middle" >2848</td><td align="center" valign="middle" >symmetric (CH<sub>2</sub>)</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.66266-ref31">31</xref>]</td></tr><tr><td align="center" valign="middle" >830</td><td align="center" valign="middle" >S-OC stretching</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.66266-ref31">31</xref>]</td></tr><tr><td align="center" valign="middle" >968, 977</td><td align="center" valign="middle" >asymmetric S-OC stretching</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.66266-ref32">32</xref>]</td></tr><tr><td align="center" valign="middle" >1068, 1080</td><td align="center" valign="middle" >degenerate <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-2210161x22.png" xlink:type="simple"/></inline-formula> symmetric stretching</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.66266-ref32">32</xref>]</td></tr><tr><td align="center" valign="middle" >1213, 1209</td><td align="center" valign="middle" >degenerate <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-2210161x23.png" xlink:type="simple"/></inline-formula> asymmetric stretching</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.66266-ref32">32</xref>]</td></tr><tr><td align="center" valign="middle" >576, 603</td><td align="center" valign="middle" >degenerate symmetric <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/1-2210161x24.png" xlink:type="simple"/></inline-formula> bending</td><td align="center" valign="middle" >[<xref ref-type="bibr" rid="scirp.66266-ref32">32</xref>]</td></tr></tbody></table></table-wrap><p>FAME yield as shown in <xref ref-type="fig" rid="fig2">Figure 2</xref> was 57.5% &#177; 3.6% for C. vulgaris and 53.8% &#177; 8% for N. occulata, occurring at 24 h.</p><p>Clearly the initial rate of FAME production is significantly higher for C. vulgaris, but there was no significant difference between the final transesterifiable lipid yields of the two species. The FAME time profile seems to have 2 distinct stages, indicating 2 distinct, possibly sequential, processes. In C. vulgaris, ~85% of the final yield is achieved in the initial rapid extraction/reaction stage, whereas in N. occulata only ~50% is produced during this time period. Perhaps this represents two different locations of transesterifiable matter e.g. the internal oil bodies and the cell wall lipids.</p><p>Increasing the acid concentration to 0.15 &#181;L/(mg algae) resulted in a 17% and 62% increase in FAME yield for C. vulgaris and N. occulata respectively in 24 h. A 53% increase in FAME yield during H<sub>2</sub>SO<sub>4</sub>-catalysed in situ transesterification of Spirulina-platensis was observed by increasing acid volume from 0.0016 to 0.19 &#181;L/ (mg algae) [<xref ref-type="bibr" rid="scirp.66266-ref12">12</xref>] . Other researchers also reported increases in the yield of biodiesel with an increase in acid concentration during acid catalysed in situ transesterification of microalgae [<xref ref-type="bibr" rid="scirp.66266-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.66266-ref34">34</xref>] . One probable reason is that acids can be involved in other reactions, such as hydrolysis of carbohydrate during acid-catalysed in situ transesterification. Its involvement in such reaction may require high acid concentration to affect high FAME yield.</p></sec><sec id="s3_3"><title>3.3. In Situ Transesterification Using SDS/H<sub>2</sub>SO<sub>4</sub></title><p>The amount of phospholipids and glycolipids in total lipids of N. occulata were determined as 50% &#177; 0% (w/w total lipids) while that in total lipids of C. vulgaris were 30.3% &#177; 1.3% (w/w total lipids). This was equivalent to 3.2 mol SDS/(mol total lipids) in N. occulata. In C. vulgaris, it was equivalent to 6.1 mol SDS/(mol total lipids). In both N. occulata and C. vulgaris, the amount of SDS in H<sub>2</sub>SO<sub>4</sub> was significantly greater than 2 mol SDS/ (mol phospholipids) required to solubilise the phospholipids bilayers [<xref ref-type="bibr" rid="scirp.66266-ref26">26</xref>] . Sodium dodecyl sulphate (SDS) is a surfactant known for lysing cells to enhance extraction of intracellular components [<xref ref-type="bibr" rid="scirp.66266-ref15">15</xref>] . The effect of inclusion of SDS in H<sub>2</sub>SO<sub>4</sub> on FAME yields for N. occulata and C. vulgaris is shown in <xref ref-type="fig" rid="fig3">Figure 3</xref>.</p><p>At 24 h, a 72.6% &#177; 7.7% maximum FAME yield was obtained in N. occulata. In contrast, a 53.8% &#177; 8% FAME yield was obtained in this species at the same duration with H<sub>2</sub>SO<sub>4</sub> alone. In C. vulgaris, at 24 h, a maximum FAME yield of 75.6% &#177; 8.7% was obtained with SDS plus H<sub>2</sub>SO<sub>4</sub> catalyst, whereas the FAME yield was 57.5% &#177; 3.6% when using H<sub>2</sub>SO<sub>4</sub> alone. These FAME yields represent 35% and 31% increases for N. occulata and C. vulgaris, respectively. This is significantly higher than the 11% increase obtained by inclusion of cetyltrimethylammonium bromide (CTAB) (a surfactant) in NaOH for in situethanolysis of Jatropha curcas L [<xref ref-type="bibr" rid="scirp.66266-ref35">35</xref>] , although it is difficult to ascribe this to the surfactant, given the difference in catalyst.</p></sec><sec id="s3_4"><title>3.4. In Situ Transesterification with Surfactant Catalyst (“ZDS”) vs H<sub>2</sub>SO<sub>4</sub></title><p>The performance of a synthesized “surfactant catalyst” (zirconium dodecyl sulphate, or “ZDS”) for FAME production from N. occulata and C. vulgaris was investigated. The resultant time profiles are shown in <xref ref-type="fig" rid="fig4">Figure 4</xref>.</p><p>As can be seen in the figure in N. occulata, FAME production rate by ZDS was greater than that produced by H<sub>2</sub>SO<sub>4</sub> between 12 - 36 h. This is contrary to a reduction in FAME yield from 14% to 8% with increase in time</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Reactively extracted FAME profile of N. occulata and C. vulgaris with H<sub>2</sub>SO<sub>4</sub> catalyst. Process conditions: 600 mol methanol/(mol oil) = 0.47 mL methanol, agitation rate = 450 rpm, temperature = 60˚C, mass of microalgae = 100 mg, 8.5 mol H<sub>2</sub>SO<sub>4</sub>/(mol oil) = 0.087 &#181;L/(mg biomass)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-2210161x25.png"/></fig><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Reactively extracted FAME profile of N. occulata and C. vulgaris with H<sub>2</sub>SO<sub>4</sub> vs SDS plus H<sub>2</sub>SO<sub>4</sub>. Process conditions: 600 mol methanol/(mol oil) = 0.47 mL methanol/(mg algae), 8.5 mol H<sub>2</sub>SO<sub>4</sub>/(mol oil) = 0.087 &#181;L/(mg algae), agitation rate = 450 rpm, temperature = 60˚C, mass of microalgae = 100 mg</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-2210161x26.png"/></fig><p>1.5 to 8 h observed in C. vulgaris with ZDS catalyst. This results conform with a reduction in FAME content from 15 mg to 11 mg [<xref ref-type="bibr" rid="scirp.66266-ref3">3</xref>] and from 3.4% to 2% [<xref ref-type="bibr" rid="scirp.66266-ref36">36</xref>] . Such FAME reduction has been ascribed to oligomerisation of unsaturated FAME, which can occur at 50˚C [<xref ref-type="bibr" rid="scirp.66266-ref36">36</xref>] . A mineral or Lewis-acid has been reported to catalyse formation of triglycerides oligomers at 75˚C [<xref ref-type="bibr" rid="scirp.66266-ref37">37</xref>] . ZDS is a Lewis acid-surfactant-combined catalyst and reduction in the FAME yield observed in Chlorella vulgaris using this catalyst could be due to FAME consumption via oligomerisation. It is also clear that the FAME production rate in Chlorella vulgaris when using H<sub>2</sub>SO<sub>4</sub> was significantly greater than that of ZDS at each data point. The varying effect of ZDS on the N. occulata and C. vulgaris could be due to cell wall chemistry differences. Therefore, a more measurements should be directed to</p><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> Reactively extracted FAME profile of N. occulata and C. vulgaris with ZDS. Process conditions: 600 mol methanol/(mol oil) = 0.47 mL methanol/(mg algae), 8.5 mol H<sub>2</sub>SO<sub>4</sub>/(mol oil) = 0.087 &#181;L/(mg algae), 18% ZDS/(mass algae), mass of microalgae = 100 mg, agitation rate = 450 rpm, temperature = 60˚C</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-2210161x27.png"/></fig><p>detect the compounds producing FAME yield changes particularly non-hydrolysable macromolecules such as algaenans and sporopollenin.</p><p>The maximum FAME yields obtained in N. occulata and C. vulgaris are shown in <xref ref-type="table" rid="table2">Table 2</xref> and <xref ref-type="table" rid="table3">Table 3</xref>. While <xref ref-type="table" rid="table2">Table 2</xref> shows the maximum FAME yields obtained in both species using different catalysts, <xref ref-type="table" rid="table3">Table 3</xref> shows the effect of the algae species on the FAME yield at a particular experimental condition.</p><p>H<sub>2</sub>SO<sub>4</sub> concentration of 8.5 and 15 mol/(mol oil) was equivalent to 0.326 mmol H<sup>+</sup> and 0.578 mmol H<sup>+</sup>, respectively. As can be seen in the <xref ref-type="table" rid="table2">Table 2</xref>, increase in the acid concentration from 8.5 to 15 mol/(mol oil) increased the FAME production rate in both species. This conform with what was observed in the literatures [<xref ref-type="bibr" rid="scirp.66266-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.66266-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.66266-ref34">34</xref>] but this could increase the operating cost as there will be the need to remove the unreacted acid from the product streams. The inclusion of SDS in 8.5 mol/(mol oil) H<sub>2</sub>SO<sub>4</sub> at 20% moisture (w/w) dry algae produced 92.2% &#177; 0.8% and 98% &#177; 6.7% FAME yield in C. vulgaris and N. occulata respectively. This shows that SDS inclusion in H<sub>2</sub>SO<sub>4</sub> reduces the catalyst concentration by 43% and increase the water tolerance of the process. This approach could improve the process economy. The maximum FAME yield produced at 15 mol/(mol oil) was greater than that produced by ZDS. However, 100% ZDS (w/w algal oil) used was equivalent to 0.0624 mmol H<sup>+</sup> indicating that ZDS is more efficient on a mass for mass basis than H<sub>2</sub>SO<sub>4</sub>, particularly for N. occulata.</p><p>As can be seen in <xref ref-type="table" rid="table3">Table 3</xref> there is no significant different between the maximum FAME yield obtained in C. vulgaris and N. occulata when H<sub>2</sub>SO<sub>4</sub> alone or H<sub>2</sub>SO<sub>4</sub> + SDS were used i.e. (p &gt; 0.05). However when ZDS was used, a maximum FAME yield of 67% &#177; 1.1% was obtained in N. occulata which is significantly greater than 22% &#177; 3% FAME yield obtained in C. vulgaris i.e. (p &lt; 0.05). The substantial differences exhibited by the two species when using ZDS could be due to their varying cell wall chemistry as explained in section 3.4.</p><p>A typical FAME chromatogram obtained from the experiment is shown in <xref ref-type="fig" rid="fig5">Figure 5</xref>. The first peak is the solvent (methanol) peak while the other largest peak is internal standard: methyl heptadecanoate (C: 17) peak. Other peaks are the FAME distribution range from C8:0 to C20:1.</p></sec><sec id="s3_5"><title>3.5. Effect of Inclusion of SDS in H<sub>2</sub>SO<sub>4</sub> on Water Tolerance</title><p>It has been shown that acid-catalysed direct transesterification exhibits higher water tolerance to microalgae- bound water [<xref ref-type="bibr" rid="scirp.66266-ref34">34</xref>] and free water [<xref ref-type="bibr" rid="scirp.66266-ref3">3</xref>] . In order to investigate the level of water tolerance of H<sub>2</sub>SO<sub>4</sub>, with and without SDS, samples with 10%, 20% and 30% distilled water (w/w dry algae) were prepared and allowed to equilibrate for 1 h. Surprisingly, there was an increase in the FAME rate for H<sub>2</sub>SO<sub>4,</sub> with or without SDS, with increase in moisture content in both microalgae, which is contrary to what has been reported for two-step transesterification (<xref ref-type="fig" rid="fig6">Figure 6</xref> and <xref ref-type="fig" rid="fig7">Figure 7</xref>).</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Maximum FAME yields from both species</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Microalgae species</th><th align="center" valign="middle" >Catalyst</th><th align="center" valign="middle" >FAME yield % (w/w)</th><th align="center" valign="middle" >Reaction time (h)</th></tr></thead><tr><td align="center" valign="middle" >C. vulgaris</td><td align="center" valign="middle" ><sup>a</sup>H<sub>2</sub>SO<sub>4</sub></td><td align="center" valign="middle" >57.5 &#177; 3.6</td><td align="center" valign="middle" >24</td></tr><tr><td align="center" valign="middle" >C. vulgaris</td><td align="center" valign="middle" ><sup>b</sup>H<sub>2</sub>SO<sub>4</sub></td><td align="center" valign="middle" >67 &#177; 1</td><td align="center" valign="middle" >24</td></tr><tr><td align="center" valign="middle" >C. vulgaris</td><td align="center" valign="middle" >SDS + <sup>c</sup>H<sub>2</sub>SO<sub>4</sub></td><td align="center" valign="middle" >72.6 &#177; 7.7</td><td align="center" valign="middle" >24</td></tr><tr><td align="center" valign="middle" >C. vulgaris</td><td align="center" valign="middle" >SDS + <sup>d</sup>H<sub>2</sub>SO<sub>4</sub></td><td align="center" valign="middle" >92.2 &#177; 0.8</td><td align="center" valign="middle" >24</td></tr><tr><td align="center" valign="middle" >N. occulata</td><td align="center" valign="middle" ><sup>a</sup>H<sub>2</sub>SO<sub>4</sub></td><td align="center" valign="middle" >53.8 &#177; 8</td><td align="center" valign="middle" >24</td></tr><tr><td align="center" valign="middle" >N. occulata</td><td align="center" valign="middle" ><sup>b</sup>H<sub>2</sub>SO<sub>4</sub></td><td align="center" valign="middle" >87 &#177; 2</td><td align="center" valign="middle" >24</td></tr><tr><td align="center" valign="middle" >N. occulata</td><td align="center" valign="middle" >SDS + <sup>c</sup>H2SO4</td><td align="center" valign="middle" >73 &#177; 7.7</td><td align="center" valign="middle" >24</td></tr><tr><td align="center" valign="middle" >N. occulata</td><td align="center" valign="middle" >SDS + <sup>d</sup>H2SO4</td><td align="center" valign="middle" >98 &#177; 6.7</td><td align="center" valign="middle" >24</td></tr><tr><td align="center" valign="middle" >N. occulata</td><td align="center" valign="middle" >ZDS</td><td align="center" valign="middle" >67 &#177; 1</td><td align="center" valign="middle" >24</td></tr></tbody></table></table-wrap><p><sup>a</sup>H<sub>2</sub>SO<sub>4 </sub>= 8.5 mol/(mol oil); <sup>b</sup>H<sub>2</sub>SO<sub>4 </sub>= 15 mol/(mol oil); <sup>c</sup>H<sub>2</sub>SO<sub>4</sub> + SDS: 8.5 H<sub>2</sub>SO<sub>4</sub>mol/(mol oil), dry algae; <sup>d</sup>H<sub>2</sub>SO<sub>4</sub> + SDS: 8.5 H<sub>2</sub>SO<sub>4</sub> mol/(mol oil), wet algae at 20% moisture (w/w dry algae). Process conditions: 600 mol methanol/(mol oil), agitation rate = 450 rpm, temperature = 60˚C, mass of microalgae = 100 mg, 9 mg SDS, 100% ZDS (w/w algal oil).</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Comparison between maximum FAME yields obtained in both species</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Moisture: % (w/w) dry algae</th><th align="center" valign="middle" >Microalgae</th><th align="center" valign="middle" >Catalyst</th><th align="center" valign="middle" >FAME Yield</th><th align="center" valign="middle" >P value</th></tr></thead><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >C. vulgaris</td><td align="center" valign="middle" >H<sub>2</sub>SO<sub>4</sub></td><td align="center" valign="middle" >57.5 &#177; 3.6</td><td align="center" valign="middle" >0.428</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >N. occulata</td><td align="center" valign="middle" >H<sub>2</sub>SO<sub>4</sub></td><td align="center" valign="middle" >53.8 &#177; 8</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >C. vulgaris</td><td align="center" valign="middle" >ZDS</td><td align="center" valign="middle" >22 &#177; 3</td><td align="center" valign="middle" >0.008</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >N. occulata</td><td align="center" valign="middle" >ZDS</td><td align="center" valign="middle" >67 &#177; 1.1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >0</td><td align="center" valign="middle" >C. vulgaris</td><td align="center" valign="middle" >H<sub>2</sub>SO<sub>4</sub> + SDS</td><td align="center" valign="middle" >72.6 &#177; 7.7</td><td align="center" valign="middle" >0.405</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >N. occulata</td><td align="center" valign="middle" >H<sub>2</sub>SO<sub>4</sub> + SDS</td><td align="center" valign="middle" >73 &#177; 7.7</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >20</td><td align="center" valign="middle" >C. vulgaris</td><td align="center" valign="middle" >H<sub>2</sub>SO<sub>4</sub> + SDS</td><td align="center" valign="middle" >92.2 &#177; 0.8</td><td align="center" valign="middle" >0.164</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >N. occulata</td><td align="center" valign="middle" >H<sub>2</sub>SO<sub>4</sub> + SDS</td><td align="center" valign="middle" >98 &#177; 6.7</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Process conditions: H<sub>2</sub>SO<sub>4</sub> = 8.5 mol/(mol oil); H<sub>2</sub>SO<sub>4</sub> + SDS: 8.5 H<sub>2</sub>SO<sub>4</sub> mol/(mol oil); 600 mol methanol/(mol oil), agitation rate = 450 rpm, temperature = 60˚C, mass of microalgae = 100 mg, 9 mg SDS, 100 % ZDS (w/w algal oil).</p><fig id="fig5"  position="float"><label><xref ref-type="fig" rid="fig5">Figure 5</xref></label><caption><title> A typical FAME chromatogram obtained from the experiment</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-2210161x28.png"/></fig><fig id="fig6"  position="float"><label><xref ref-type="fig" rid="fig6">Figure 6</xref></label><caption><title> Reactively Extracted FAME produced from re-hydrated C. vulgaris with H<sub>2</sub>SO<sub>4</sub> or H<sub>2</sub>SO<sub>4</sub> + SDS. Process conditions: 600 mol methanol/(mol oil) = 0.47 mL methanol, 8.5 mol H<sub>2</sub>SO<sub>4</sub>/(mol oil) = 0.087 &#181;L/(mg biomass), agitation = 450 rpm, temperature = 60˚C, 9 mg SDS, mass of microalgae = 100 mg</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-2210161x29.png"/></fig><fig id="fig7"  position="float"><label><xref ref-type="fig" rid="fig7">Figure 7</xref></label><caption><title> Reactively Extracted FAME produced from re-hydrated N. occulata with H<sub>2</sub>SO<sub>4</sub> or H<sub>2</sub>SO<sub>4</sub> + SDS. Process conditions: 600 mol methanol/(mol oil) = 0.47 mL methanol, 8.5 mol H<sub>2</sub>SO<sub>4</sub>/(mol oil) = 0.087 &#181;L/(mg biomass), agitation = 450 rpm, temperature = 60˚C, 9 mg SDS, mass of microalgae = 100 mg</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-2210161x30.png"/></fig><p>The FAME production rates begin to decrease at 20% moisture content. Cell wall lipids, such as phospholipids and glycolipids may be disrupted by polar organic solvents such as methanol, ethanol or other alcohols [<xref ref-type="bibr" rid="scirp.66266-ref38">38</xref>] . However, the poor permeability of these solvents into the cells of completely dry oil-bearing biomass can significantly reduce their lipid extraction efficiency [<xref ref-type="bibr" rid="scirp.66266-ref38">38</xref>] . This can be counteracted to some extent by addition of a small quantity of water, as it swells the cell wall. The inclusion of water in extracting solvents including methanol or ethanol has been reported to increase extraction of phospholipids [<xref ref-type="bibr" rid="scirp.66266-ref39">39</xref>] . Removal of the cell wall lipids (phospholipids and glycolipids) from the algal cell walls compromises their integrity i.e. it disrupts the cell wall to some degree thereby increasing accessibility of the solvent (methanol) to the internal body lipids (triglycerides). In addition, the interaction of water and methanol with cell wall proteins could compromise their integrity. The observed enhancement could be some combination of these two effects and the swelling effect. Therefore, the observed water tolerance in re-hydrated microalgae was probably due to increased lipid extraction by moist methanol. This could be a key method of increasing the FAME yield in in situ transesterification.</p><p>However, after 20% moisture content, a drop in the FAME yield was observed, which shows that the water tolerance has been exceeded for both catalysts. The amount of water tolerance achieved here is greater than 10% (w/w dry mass) obtained by Velasquez-orta et al. [<xref ref-type="bibr" rid="scirp.66266-ref34">34</xref>] , perhaps because their moisture content was based on bound, rather than the free water used in this current investigation. However, the water tolerance achieved here is lower than the 50% (w/w dry mass) of free water during acid-catalysed in situ esterification of C. gracilius reported by Wahlen et al. [<xref ref-type="bibr" rid="scirp.66266-ref3">3</xref>] . It should be noted that Wahlen et al. [<xref ref-type="bibr" rid="scirp.66266-ref3">3</xref>] , used a higher methanol volume, 0.04 mL/ (mg algae), which was significantly higher than the 0.0047 mL/(mg algae) used in this study. In situ esterification of microalgae using H<sub>2</sub>SO<sub>4 </sub>as catalyst exhibits the same water tolerance, with or without SDS.</p></sec><sec id="s3_6"><title>3.6. Mechanisms of Enhancement of FAME Yield by the Surfactant-Based Catalysts</title><p>The difference in the FAME production by the catalysts is explained in terms of the chlorophyll extracts after the in situ transesterification of the different catalysts, as shown in <xref ref-type="table" rid="table4">Table 4</xref>.</p><p>Chlorophyll concentration has been positively correlated with cell wall disruption [<xref ref-type="bibr" rid="scirp.66266-ref23">23</xref>] . Based on this measurement, H<sub>2</sub>SO<sub>4</sub>, H<sub>2</sub>SO<sub>4</sub> + SDS and ZDS significantly disrupt the cells i.e. (p &lt; 0.05) than the control experiment in N. occulata. Similarly H<sub>2</sub>SO<sub>4</sub>, H<sub>2</sub>SO<sub>4</sub> + SDS significantly disrupt the cells i.e. (p &lt; 0.05) than the control experiment in C. vulgaris but there was no significant difference in cell wall disruption between ZDS and the control experiment in C. vulgaris which explains why ZDS produced low yield in this species. In contrast, the highest chlorophyll extract was produced when using ZDS in N. occulata. Clearly, ZDS disrupts N. occulata’s cell wall more than H<sub>2</sub>SO<sub>4</sub> which explains why it produced greater FAME yield than H<sub>2</sub>SO<sub>4</sub> alone. Again, the difference in the behaviours exhibited by this catalyst towards both microalgae could be explained by the difference in the cell wall chemistry of the two species as explained in section 3.4.</p></sec><sec id="s3_7"><title>3.7. Carbohydrate and Protein Content before and after in Situ Transesterification</title><p>The protein and carbohydrate contents of the residual algal biomass were measured at the maximum FAME yield as shown in <xref ref-type="fig" rid="fig8">Figure 8</xref>.</p><p>It can be seen that protein is retained at all conditions, and carbohydrate significantly reduced. This implies that a substantial portion of the carbohydrate was hydrolysed to simple sugars or other associated products that dissolved in water/methanol mixture. The protein retention is probably desirable, as it means that the residue can be utilised for biogas generation. However, it is anticipated that Carbon/Nitrogen (C/N) will be will be low due to high content of protein and low content of residual carbohydrate. In order to utilise this substrate efficiently as feed for biogas production, it is necessary to co-digest it with high C/N substrate to reach an optimum C/N ratio [<xref ref-type="bibr" rid="scirp.66266-ref40">40</xref>] . This approach could contribute to improvement in the process economy of the in situ transesterification of microalgae oil.</p></sec></sec><sec id="s4"><title>4. Conclusion</title><p>In situ transesterification has been shown to be technically feasible for FAME production from N. occulata and C. vulgaris using H<sub>2</sub>SO<sub>4</sub>, ZDS and H<sub>2</sub>SO<sub>4</sub>/SDS (a surfactant). ZDS produced significantly higher FAME yield N. occulata (67% &#177; 1%) than in C. vulgaris (22% &#177; 3%) i.e. (p &lt; 0.05). Differences in the activity of the ZDS in the two species are probably due to differences in their cell wall chemistry. SDS addition to H<sub>2</sub>SO<sub>4</sub> enhances the</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Chlorophyll content as a measure of cell disruption in both species</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Microalgae</th><th align="center" valign="middle" >Catalyst</th><th align="center" valign="middle" >Total chlorophyll (&#181;g/mL)</th><th align="center" valign="middle" >P value</th></tr></thead><tr><td align="center" valign="middle" >C. vulgaris</td><td align="center" valign="middle" >Control</td><td align="center" valign="middle" >1.05 &#177; 0.06<sup>a</sup></td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >C. vulgaris</td><td align="center" valign="middle" >Acid</td><td align="center" valign="middle" >3.43 &#177; 0.40<sup>a</sup></td><td align="center" valign="middle" >0.040</td></tr><tr><td align="center" valign="middle" >C. vulgaris</td><td align="center" valign="middle" >Acid+SDS</td><td align="center" valign="middle" >3.55 &#177; 0.03<sup>a</sup></td><td align="center" valign="middle" >0.003</td></tr><tr><td align="center" valign="middle" >C. vulgaris</td><td align="center" valign="middle" >ZDS</td><td align="center" valign="middle" >0.61 &#177; 0.09<sup>a</sup></td><td align="center" valign="middle" >0.056</td></tr><tr><td align="center" valign="middle" >N. occulata</td><td align="center" valign="middle" >Control</td><td align="center" valign="middle" >0.59 &#177; 0.02<sup>b</sup></td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >N. occulata</td><td align="center" valign="middle" >Acid</td><td align="center" valign="middle" >2.68 &#177; 0.19<sup>b</sup></td><td align="center" valign="middle" >0.010</td></tr><tr><td align="center" valign="middle" >N. occulata</td><td align="center" valign="middle" >Acid+SDS</td><td align="center" valign="middle" >2.74 &#177; 0.19<sup>b</sup></td><td align="center" valign="middle" >0.030</td></tr><tr><td align="center" valign="middle" >N. occulata</td><td align="center" valign="middle" >ZDS</td><td align="center" valign="middle" >2.90 &#177; 0.29<sup>b</sup></td><td align="center" valign="middle" >0.030</td></tr></tbody></table></table-wrap><p><sup>a</sup>Total chlorophyll A + B; <sup>b</sup>Total chlorophyll A + C. Process conditions: 600 mol methanol/(mol lipids) = 0.47 mL methanol, 8.5 mol H<sub>2</sub>SO<sub>4</sub>/(mol lipids) = 0.087 &#181;L H<sub>2</sub>SO<sub>4</sub>/(mg algae), agitation = 450 rpm, temperature = 32˚C, mass of microalgae = 100 mg, mass of SDS = 9 mg, 100 % ZDS/ (w/w lipids), reaction time = 24 h. The control experiment contained no catalyst but other conditions were the same.</p><fig id="fig8"  position="float"><label><xref ref-type="fig" rid="fig8">Figure 8</xref></label><caption><title> Carbohydrate and protein content of the microalgae before and after in situ transesterification</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-2210161x31.png"/></fig><p>FAME yield from both species and causes some level of water tolerance in both. Addition of SDS in H<sub>2</sub>SO<sub>4</sub> at 20% moisture content produced a maximum FAME yield of 98.3% &#177; 6.7% and 92.2% &#177; 0.8% in N. occulata and C. vulgaris respectively. The residual biomass, regardless of the catalyst and/or surfactant, maintains the initial protein, indicating that the residue could be a valuable feed for anaerobic digester for producing biogas. Carbohydrate in the algal residue decreased significantly in all cases possibly due to its hydrolysis by the catalysts. This may represent the basis of a technique for separating the carbohydrate from the biomass for use in bioethanol production or aqueous phase reforming. Finally, not only is the process more tolerant to water than transesterification-based routes, but the presence of a small quantity of external water increases the FAME yields in in situ transesterification, rather than inhibiting the reaction. This effect was apparent for all conditions up to 20 - 30 wt.% water/(wt. dry algae), and should substantially improve the economics of this process, as the energy required for drying algae to the conditions required for conventional biodiesel production (&lt;0.5 w% water/w oil) is a substantial obstacle to economic operation.</p></sec><sec id="s5"><title>Cite this paper</title><p>Kamoru A. Salam,Sharon B. Velasquez-Orta,Adam P. Harvey, (2016) In Situ Transesterification of Wet Marine and Fresh Water Microalgae for Biodiesel Production and Its Effect on the Algal Residue. Journal of Sustainable Bioenergy Systems,06,17-30. doi: 10.4236/jsbs.2016.62003</p></sec><sec id="s6"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.66266-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Zeng, J., Wang, X., Zhao, B., Sun, J. and Wan, Y. (2008) Rapid in Situ Transesterification of Sunflower Oil. Industrial &amp; Engineering Chemistry Research, 48, 850-856. http://dx.doi.org/10.1021/ie8008956</mixed-citation></ref><ref id="scirp.66266-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Kasim, F.H. and Harvey, A.P. (2011) Influence of Various Parameters on Reactive Extraction of Jatropha curcas L. for Biodiesel Production. Chemical Engineering Journal, 171, 1373-1378. http://dx.doi.org/10.1016/j.cej.2011.05.050</mixed-citation></ref><ref id="scirp.66266-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Wahlen, B.D., Willis, R.M. and Seefeldt, L.C. (2011) Biodiesel Production by Simultaneous Extraction and Conversion of Total Lipids from Microalgae, Cyanobacteria, and Wild Mixed-Cultures. Bioresource Technology, 102, 2724-2730. http://dx.doi.org/10.1016/j.biortech.2010.11.026</mixed-citation></ref><ref id="scirp.66266-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Velasquez-orta, S.B., Lee, J.G.M. and Harvey, A. (2012) Alkaline in Situ Transesterification of Chlorella vulgaris. Fuel, 94, 544-550. http://dx.doi.org/10.1016/j.fuel.2011.11.045</mixed-citation></ref><ref id="scirp.66266-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Salam, K.A., Velasquez-orta, S.B. and Harvey, A.P. (2016) Kinetics of Fast Alkali Reactive Extraction/in Situ Transesterification of Chlorella vulgaris That Identified Process Condition for a Significant Enhanced Rate and Water Tolerance. Fuel Processing Technology, 144, 212-219. http://dx.doi.org/10.1016/j.fuproc.2015.12.031</mixed-citation></ref><ref id="scirp.66266-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Chisti, Y. (2007) Biodiesel from Microalgae. Biotechnology Advances, 25, 294-306. http://dx.doi.org/10.1016/j.biotechadv.2007.02.001</mixed-citation></ref><ref id="scirp.66266-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Lardon, L., Sialve, B., Steyer, J. and Bernard, O. (2009) Life-Cycle Assessment of Biodiesel Production from Microalgae. Environmental Science &amp; Technology, 17, 6475-6481. http://dx.doi.org/10.1021/es900705j</mixed-citation></ref><ref id="scirp.66266-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Chisti, Y. (2013) Constraints to Commercialization of Algal Fuels. Journal of Biotechnology, 167, 201-214. http://dx.doi.org/10.1016/j.jbiotec.2013.07.020</mixed-citation></ref><ref id="scirp.66266-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Salam, K.A., Velasquez-orta, S.B. and Harvey, A.P. (2016) Surfactant Assisted Direct Biodiesel Production from Wet Nannochloropsis occulata by in Situ Transesterification/Reactive Extraction. Biofuel Research Journal, 9, 366-371.http://dx.doi.org/10.18331/BRJ2016.3.1.6</mixed-citation></ref><ref id="scirp.66266-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Zhao, B., Ma, J., Zhao, Q., Laurens, L., Jarvis, E., Chen, S. and Frear, C. (2014), Efficient Anaerobic Digestion of Whole Microalgae and Lipid Extracted Microalgae Residues for Methane Energy Production. Bioresource Technology, 161, 423-430.</mixed-citation></ref><ref id="scirp.66266-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Ehimen, E.A., Connaughton, S., Sun, Z. and Carrington, G.C. (2009) Energy Recovery from Lipid Extracted, Transesterified and Glycerol Codigested Microalgae Biomass. GCB Bioenergy, 1, 371-381. http://dx.doi.org/10.1111/j.1757-1707.2009.01029.x</mixed-citation></ref><ref id="scirp.66266-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">El-Shimi, H.I., Attia, N.K., El-Sheltawy, S.T. and El-Diwani, G.I. (2013) Biodiesel Production from Spirulina-Platensis Microalgae by In-Situ Transesterification Process. Journal of Sustainable Bioenergy Systems, 3, 224-233. http://dx.doi.org/10.4236/jsbs.2013.33031</mixed-citation></ref><ref id="scirp.66266-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Ghesti, G.F., Macedo, J.L., Parente, V.C.I., Dias, J.A. and Dias, S.C.L. (2009) Synthesis, Characterization and Reactivity of Lewis Acid/Surfactant Cerium Trisdodecylsulfate Catalyst for Transesterification and Esterification Reactions. Applied Catalysis A: General, 355, 139-147. http://dx.doi.org/10.1016/j.apcata.2008.12.008</mixed-citation></ref><ref id="scirp.66266-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Tuntiwiwattanapun, N., Tongcumpou, C., Haagenson, D. and Wiesenborn, D. (2013) Development and Scale-Up of Aqueous Surfactant-Assisted Extraction of Canola Oil for Use as Biodiesel Feedstock. Journal of the American Oil Chemists’ Society, 90, 1089-1099. http://dx.doi.org/10.1007/s11746-013-2237-9</mixed-citation></ref><ref id="scirp.66266-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Brown, R.B. and Audet, J. (2008) Current Techniques for Single-Cell Lysis. Journal of the Royal Society Interface, 5, S131-S138. http://dx.doi.org/10.1098/rsif.2008.0009.focus</mixed-citation></ref><ref id="scirp.66266-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Canakci, M. and Gerpen, V.J. (1999) Biodiesel Production via Acid Catalysis. American Society of Agricultural and Biological Engineers, 42, 1203-1210. http://dx.doi.org/10.13031/2013.13285</mixed-citation></ref><ref id="scirp.66266-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Widjaja, A., Chien, C. and Ju, Y. (2009) Study of Increasing Lipid Production from Fresh Water Microalgae Chlorella vulgaris. Journal of the Taiwan Institute of Chemical Engineers, 40, 13-20. http://dx.doi.org/10.1016/j.jtice.2008.07.007</mixed-citation></ref><ref id="scirp.66266-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Folch, J., Lees, M. and Stanley, G.H.S. (1957) A Simple Method for the Isolation and Purification of Total Lipids from Animal Tissue. The Journal of Biological Chemistry, 226, 497-509.</mixed-citation></ref><ref id="scirp.66266-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Gerhardt, P., Murray, R.G.E., Wood, W.A. and Krieg, N.R. (1994) Methods and Molecular Bacteriology. ASM, Washington DC.</mixed-citation></ref><ref id="scirp.66266-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Lourenc, S.O., Barbarino, E., Lavin, P.L., Marquez, U.M.L. and Aidar, E. (2004) Distribution of Intracellular Nitrogen in Marine Microalgae: Calculation of New Nitrogen-to-Protein Conversion Factors. European Journal of Phycology, 39, 17-32. http://dx.doi.org/10.1080/0967026032000157156</mixed-citation></ref><ref id="scirp.66266-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Kaluzny, M.A., Duncan, L.A., Merritt, M.V. and Epps, D.E. (1985) Rapid Separation of Lipid Classes in High Yield and Purity Using Bonded Phase Columns. The Journal of Lipid Research, 26, 135-140.</mixed-citation></ref><ref id="scirp.66266-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Garces, R. and Mancha, M. (1993) One-Step Lipid Extraction and Fatty Acid Methyl Esters Preparation from Fresh Plant Tissues. Analytical Biochemistry, 211, 139-143. http://dx.doi.org/10.1006/abio.1993.1244</mixed-citation></ref><ref id="scirp.66266-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Gerde, J.A., Montalbo-Lomboy, M., Yao, L., Grewell, D. and Wanga, T. (2012) Evaluation of Microalgae Cell Disruption by Ultrasonic Treatment. Bioresource Technology, 125, 175-181. http://dx.doi.org/10.1016/j.biortech.2012.08.110</mixed-citation></ref><ref id="scirp.66266-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Jeffery, S.W. and Humphrey, G.F. (1975) New Spectrophotometric Equations for Determining Chlorophylls a, b, c1, and c2 in Higher Plants, Algae and Natural Phytoplankton. Biochemie und Physiologie der Pflanzen, 167, 191-194.</mixed-citation></ref><ref id="scirp.66266-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Ehimen, E.A., Sun, Z.F. and Carrington, C.G. (2010) Variables Affecting the in Situ Transesterification of Microalgae Lipids. Fuel, 89, 677-684. http://dx.doi.org/10.1016/j.fuel.2009.10.011</mixed-citation></ref><ref id="scirp.66266-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Tan, A., Ziegler, A., Steinbauer, B. and Seelig, J. (2002) Thermodynamics of Sodium Decylsulfate Partitioning into Lipid Membranes. Biophysical Journal, 83, 1547-1556. http://dx.doi.org/10.1016/S0006-3495(02)73924-6</mixed-citation></ref><ref id="scirp.66266-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Haas, M.J. and Wagner, K.A. (2011) Process Model to Estimate Biodiesel Production Costs. European Journal of Lipid Science and Technology, 113, 1219-1229. http://dx.doi.org/10.1002/ejlt.201100106</mixed-citation></ref><ref id="scirp.66266-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">European Standard (2003) Fat and Oil Derivatives-Fatty Acid Methyl Esters (FAME)-Determination of Ester and Linolenic Acid Methyl Ester Contents. EN 14103: 2003.</mixed-citation></ref><ref id="scirp.66266-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Zolfigol, M.A., Salehi, P., Shiri, M. and Tanbakouchian, Z. (2007) A New Catalytic Method for the Preparation of Bis-Indolyl and Tris-Indolylmethanes in Aqueous Media. Catalysis Communications, 8, 173-178. http://dx.doi.org/10.1016/j.catcom.2006.06.012</mixed-citation></ref><ref id="scirp.66266-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Machida, M., Kawamura, K., Kawano, T., Zhang, D. and Ikeue, K.J. (2006) Layered Pr-Dodecyl Sulfate Mesophases as Precursors of Pr2O2SO4 Having a Large Oxygen-Storage Capacity. Journal of Materials Chemistry, 16, 3084-3090. http://dx.doi.org/10.1039/b605518d</mixed-citation></ref><ref id="scirp.66266-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Socrates, G. (1994) Infrared Characteristics Group Frequency: Table and Charts. 2nd Edition, John Wiley and Sons, Chichester.</mixed-citation></ref><ref id="scirp.66266-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Kartha, V.B., Leitch, L.C. and Mantsch, H.H. (1984) Infrared and Raman Spectra of Alkali Palmityl Sulfates. Canadian Journal of Chemistry, 62, 128-132. http://dx.doi.org/10.1139/v84-025</mixed-citation></ref><ref id="scirp.66266-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Lotero, E., Liu, Y., Lopez, D.E., Suwannakarn, K., Bruce, D.A. and Goodwin Jr., J.G. (2005) Synthesis of Biodiesel via Acid Catalysis. Industrial &amp; Engineering Chemistry Research, 44, 5353-5363. http://dx.doi.org/10.1021/ie049157g</mixed-citation></ref><ref id="scirp.66266-ref34"><label>34</label><mixed-citation publication-type="other" xlink:type="simple">Velasquez-orta, S.B., Lee, J.G.M. and Harvey, A. (2013) Evaluation of FAME Production from Wet Marine and Freshwater Microalgae by in Situ Transesterification. Biochemical Engineering Journal, 76, 83-89. http://dx.doi.org/10.1016/j.bej.2013.04.003</mixed-citation></ref><ref id="scirp.66266-ref35"><label>35</label><mixed-citation publication-type="other" xlink:type="simple">Hailegiorgis, S.M., Mahadzir, S. and Subbarao, D. (2011) Enhanced in Situ Ethanolysis of Jatropha curcas L. in the Presence of Cetyltrimethylammonium Bromide as a Phase Transfer Catalyst. Renewable Energy, 36, 2502-2507. http://dx.doi.org/10.1016/j.renene.2011.03.001</mixed-citation></ref><ref id="scirp.66266-ref36"><label>36</label><mixed-citation publication-type="other" xlink:type="simple">Revellame, E., Hernandez, R., French, W., Holmes, W. and Alley, E. (2010) Biodiesel from Activated Sludge through in Situ Transesterification. Journal of Chemical Technology and Biotechnology, 85, 614-620. http://dx.doi.org/10.1002/jctb.2317</mixed-citation></ref><ref id="scirp.66266-ref37"><label>37</label><mixed-citation publication-type="other" xlink:type="simple">Isbell, T.A. and Cermak, S.C. (2002) Synthesis of Triglyceride Estolides from Lesquerella and Castor Oils. Journal of the American Oil Chemists’ Society, 79, 1227-1233. http://dx.doi.org/10.1007/s11746-002-0632-1</mixed-citation></ref><ref id="scirp.66266-ref38"><label>38</label><mixed-citation publication-type="other" xlink:type="simple">Cohen, Z. (1999) Chemicals from Microalgae. Taylor and Francis Limited, London.</mixed-citation></ref><ref id="scirp.66266-ref39"><label>39</label><mixed-citation publication-type="other" xlink:type="simple">Zhukov, A.V. and Vereshchagrin, A.G. (1981) Current Techniques of Extraction, Purification and Preliminary Fractionation of Polar Lipids of Natural Origin. Advances in Lipid Research, 18, 247-282.</mixed-citation></ref><ref id="scirp.66266-ref40"><label>40</label><mixed-citation publication-type="other" xlink:type="simple">Yen, H.-W. and Brune, D.E. (2007) Anaerobic Co-Digestion of Algal Sludge and Waste Paper to Produce Methane. Bioresource Technology, 98, 130-134. http://dx.doi.org/10.1016/j.biortech.2005.11.010</mixed-citation></ref></ref-list></back></article>