<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">AJMB</journal-id>
<journal-title>Avicenna Journal of Medical Biotechnology</journal-title>
<issn pub-type="ppub">2008-2835</issn>
<issn pub-type="epub">2008-4625</issn>
<publisher>
<publisher-name>Avicenna Research Institute</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">AJMB-6-47</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Fourier Transform Infrared Spectroscopy: A Potential Technique for Noninvasive Detection of Spermatogenesis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Gilany</surname>
<given-names>Kambiz</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pouracil</surname>
<given-names>Roudabeh Sadat Moazeni</given-names>
</name>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sadeghi</surname>
<given-names>Mohammad Reza</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
</contrib-group>
<aff id="AF0001">
<label>1</label>Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran</aff>
<aff id="AF0002">
<label>2</label>Department of Chemistry, Sharif University of Technology, Tehran, Iran</aff>
<author-notes>
<corresp id="cor1">
<label>&#x002A;</label>
<bold>Corresponding author:</bold> Kambiz Gilany, Ph.D., Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR, Tehran, Iran. <bold>Tel:</bold> +98 21 22432020. <bold>Fax:</bold> +98 21 22432021. <bold>E-mail:</bold> <email xlink:href="k.gilany@avicenna.ac.ir">k.gilany@avicenna.ac.ir</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<season>Jan-Mar</season>
<year>2014</year>
</pub-date>
<volume>6</volume>
<issue>1</issue>
<fpage>47</fpage>
<lpage>52</lpage>
<history>
<date date-type="received">
<day>18</day>
<month>06</month>
<year>2013</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>08</month>
<year>2013</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2014 Avicenna Research Institute</copyright-statement>
<copyright-year>2014</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">
<p>This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.</p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Background</title>
<p>The seminal plasma is an excellent source for noninvasive detection of spermatogenesis. The seminal plasma of normospermic and azoospermic men has been analyzed for detection of spermatogenesis.</p>
</sec>
<sec id="st2">
<title>Methods</title>
<p>Optical spectroscopy (Attenuated Total Reflectance-Infrared spectroscopy (ATR-IR) and Fourier Transform infrared spectroscopy (FT-IR) has been used to analyze the seminal plasma and the metabolome of seminal plasma for detection of spermatogenesis.</p>
</sec>
<sec id="st3">
<title>Results</title>
<p>The seminal plasma of normospermic and azoospermic men has been analyzed by ATR-IR. The results show that there is a pattern variation in the azoospermic men compared to normospermic men. However, the seminal plasma is too complex to show significant pattern variation. Therefore, the metabolome which is a subcomponent of the seminal plasma was analyzed. The seminal plasma metabolome of normospermic and azoospermic men has been analyzed by FT-IR. A significant pattern change was observed. The data combined with chemometrics analysis showed that significant changes are observed at metabolome level.</p>
</sec>
<sec id="st4">
<title>Conclusion</title>
<p>We suggest that FT-IR has the potential as a diagnostic tool instead of testicular biopsy.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Azoospermia</kwd>
<kwd>Fourier transform infrared spectroscopy</kwd>
<kwd>Seminal plasma</kwd>
<kwd>Metabolome</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="S0001" sec-type="intro">
<title>Introduction</title>
<p>Human semen is an organic fluid that consists of spermatozoa (in some instances leucocytes and epithelial cells) and seminal plasma <sup>(<xref ref-type="bibr" rid="CIT0001">1</xref>, <xref ref-type="bibr" rid="CIT0002">2</xref>)</sup>. Human semen is routinely analyzed by light microscopy and Computer Assisted Semen Analysis (CASA) in regard to conventional spermatozoa characteristics such as morphology, motility, forward progression, and concentration <sup>(<xref ref-type="bibr" rid="CIT0003">3</xref>)</sup>. Other studies use ultrastructural analysis of spermatozoa by Transmission Electron Microscopy (TEM), functional assays to distinguish between fertile and infertile men, and flow cytometry studies for semen samples, <italic>etc</italic> <sup>(<xref ref-type="bibr" rid="CIT0003">3</xref>&#x2013;<xref ref-type="bibr" rid="CIT0005">5</xref>)</sup>.</p>
<p>Azoospermia affects 10-15% of infertile men attending infertility clinics. Currently, testicular biopsy is the gold standard procedure for evaluating spermatogenesis status in men with azoospermia. Significant efforts were made to look for a non-invasive method for detection of spermatogenesis <sup>(<xref ref-type="bibr" rid="CIT0006">6</xref>)</sup>. Therefore, it is revealed that human seminal plasma is an excellent source for diagnosis of azoospermic men.</p>
<p>Metabolomics is defined as the metabolome expressed by the organism <sup>(<xref ref-type="bibr" rid="CIT0007">7</xref>)</sup>. The metabolome consists of small molecules (metabolites) less than 2 <italic>kDa</italic> including peptides, oligonucleotides, sugars, nucelosides, organic acids, ketones, aldehydes, amines, amino acids, lipids, steroids, alkaloids, vitamins, and minerals. The metabolome is the closest correlate to phenotype <sup>(<xref ref-type="bibr" rid="CIT0008">8</xref>)</sup>. Therefore, it is logical to search for a biomarker and a diagnostic test at the metabolome level.</p>
<p>There is a gap of data regarding molecular aspects of male infertility which can be employed as a diagnostic test <sup>(<xref ref-type="bibr" rid="CIT0009">9</xref>)</sup>. We believe that FT-IR spectroscopy might be the method of choice, as it has become an accepted tool for the characterization of the complex building blocks of biological systems such as proteins, nucleic acids, lipids, carbohydrates, and metabolites. FT-IR spectroscopy has proven to have a diagnostic potential. Several research groups reported its use for identification, differentiation, and classification of microorganisms <sup>(<xref ref-type="bibr" rid="CIT0010">10</xref>, <xref ref-type="bibr" rid="CIT0011">11</xref>)</sup>. Among its numerous applications, differentiation of normal from cancerous cervical tissue, normal and cancerous colon tissue, normal and malignant lymph cells and tissue, and investigation of brain cancer were reported <sup>(<xref ref-type="bibr" rid="CIT0012">12</xref>&#x2013;<xref ref-type="bibr" rid="CIT0016">16</xref>)</sup>. To improve FT-IR results, several studies have combined FT-IR results with chemometrics <sup>(<xref ref-type="bibr" rid="CIT0017">17</xref>&#x2013;<xref ref-type="bibr" rid="CIT0021">21</xref>)</sup>. To our best of knowledge no previous study has been published about the use of optical spectroscopy, ATR-IR and FT-IR to analyze human seminal plasma for the purpose of identifying molecular aspects of male infertility.</p>
<p>In this study, we have first compared the results of ATR-IR obtained from human seminal plasma of normospermic versus azoo-spermic men. In addition, we have improved the results by FT-IR spectroscopy of the metabolome of human seminal plasma in normospermic versus azoospermic men. To our best of knowledge, this is the first study in which significant changes were observed between the metabolome of human seminal plasma in normospermic versus azoospermic men using FT-IR spectroscopy.</p>
</sec>
<sec id="S0002" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S20003">
<title>Preparation of the human seminal plasma</title>
<p>Human seminal plasma of ten volunteers was collected at Avicenna Infertility Clinic (AIC) affiliated to Avicenna Research Institute (ARI) in Tehran, Iran. Semen samples were collected by masturbation in a sterile wide-mouthed cup. Semen analysis was immediately performed according to WHO guidelines. Semen samples were centrifuged for 5 <italic>min</italic> at 3,000 <italic>rpm</italic>. The supernatant seminal plasma was quickly and carefully recovered and put to freeze at -20<italic>&#x00B0;C</italic> for upcoming measurements. The specimens were categorized into two groups according to the results of spermiograms: normospermic and azoospermic men. For ATR-IR cases, 6 samples of 1 <italic>&#x00B5;L</italic> of human seminal plasma were analyzed by ATR-IR (Bruker, Tensor 27). The ATR-IR spectra were collected for 30 <italic>s</italic> and in the wave number range of 400-4000 <italic>cm</italic>
<sup>&#x2212;1</sup>.</p>
</sec>
<sec id="S20004">
<title>Extraction of human seminal plasma metabolome</title>
<p>The metabolome was extracted from human seminal plasma according to human serum metabolome extraction<xref ref-type="bibr" rid="CIT0022">22</xref>
<sup>.</sup> Briefly, the metabolites of 4 samples of human seminal plasma were extracted by cold Methanol: H<sub>2</sub>O (9:1). The suspension was centrifuged at 6000 <italic>rpm</italic> for 8 <italic>min</italic>. The supernatants were transferred to new microtubes. The extracted metabolites were dried down by Speed Vacuum. The dried metabolomes of the human seminal plasma were dissolved in 100 <italic>&#x00B5;L</italic> of chloroform before it was dropped on the KBr crystal tablet and IR-spectra were collected by FT-IR (Bruker, Tensor 27). FT-IR spectra were collected in 30 <italic>s</italic> and in the wave number region of 400-4000 cm<sup>&#x2212;1.</sup> The raw intensity of FT-IR data was used for PCA analysis.</p>
</sec>
<sec id="S20005">
<title>PCA analysis</title>
<p>For principle component analysis, MatLab software version 2012b (8.0.0.783) was used.</p>
</sec>
</sec>
<sec id="S0006" sec-type="results">
<title>Results</title>
<sec id="S20007">
<title>Pattern recognition by ATR-IR</title>
<p>
<xref ref-type="fig" rid="F0001">Figure 1</xref> shows the pattern obtained from the human seminal plasma of normospermic and azoospermic men. In these samples, we assumed that there are both proteome and metabolome. Additionally, it is possible to have free DNA in the sample as well. Since functional groups detected by ATR-IR also could include from free DNA. As it is shown in <xref ref-type="fig" rid="F0001">figure 1</xref>, the sample contains too many components. However, there is too much water in the human seminal plasma. This seems to interfere with obtaining optimal pattern among normospermic and azoospermic men. The low resolution of pattern could also be caused by complexity of human seminal plasma. In order to increase the resolution of pattern, we decided to look at subcomponents of human seminal plasma, metabolome by ATRIR.</p>
<fig id="F0001">
<label>Figure 1</label>
<caption>
<p>ATR-IR measurement of 1 <italic>&#x00B5;L</italic> liquid of whole human seminal plasma, including proteome and metabolome. N) Normozoospermic and A) Azoospermic men</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-6-47-g001.tif" alt-version="no"/>
</fig>
<p>The extracted metabolome was analyzed by ATR-IR. However, the spectra looked like <xref ref-type="fig" rid="F0001">figure 1</xref>. Therefore, we concluded that the broad band observed in the O-H region of spectra causes suppression of other variable region. Therefore, we decided to drop the analysis in the liquid form by ATR-IR.</p>
</sec>
<sec id="S20008">
<title>Metabolome fingerprinting of azoospermia using FT-IR</title>
<p>In order to improve the resolution of components, we decided to focus on metabolites of human seminal plasma <sup>(<xref ref-type="bibr" rid="CIT0023">23</xref>)</sup>. We dried down the extracted metabolome and dissolved it in the chloroform and analyzed it by FT-IR. <xref ref-type="fig" rid="F0002">Figure 2</xref> shows fingerprint region of FT-IR from human seminal plasma metabolome of normospermic and azoospermic men. It is clear the variation observed in FT-IR in the fingerprint region is significant. However, there was not such a huge difference in the upper region of spectra (&#x003E;1000 wave number <italic>cm</italic>
<sup>&#x2212;1</sup>) (data not shown).In functional groups in the fingerprint region, significant patterns of changes were C-Cl, C-O, C-N and C-C <sup>(<xref ref-type="bibr" rid="CIT0024">24</xref>)</sup>. The exact place of these functional groups in the spectra is unclear. Probably, C-C or C-N functional groups are in the region of 750-800 <italic>cm</italic>
<sup>&#x2212;.</sup>
</p>
<fig id="F0002">
<label>Figure 2</label>
<caption>
<p>FT-IR spectra from extracted dried metabolome of human seminal plasma of normozoospermic and azoospermic men</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-6-47-g002.tif" alt-version="no"/>
</fig>
<p>To get a better and more accurate measurement of FT-IR analysis, we decided to use chemometrics to the obtained FT-IR results <sup>(<xref ref-type="bibr" rid="CIT0025">25</xref>)</sup>. Principle Component Analysis (PCA) was performed on the data acquired from FT-IR of metabolome of human seminal plasma. The first two scores were plotted against together as a score plot. <xref ref-type="fig" rid="F0003">Figure 3</xref> shows scores plots of PC2 versus PC1 in the whole pattern obtained by FT-IR.</p>
<fig id="F0003">
<label>Figure 3</label>
<caption>
<p>PCA analysis of data obtained from <xref ref-type="fig" rid="F0002">Figure 2</xref>. N) Normozoospermic; A) Azoospermic</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-6-47-g003.tif" alt-version="no"/>
</fig>
<p>As it is shown in <xref ref-type="fig" rid="F0003">figure 3</xref>, the score plot has adequately separated the normospermic and azoospermic men in each side of diagram. This means that FT-IR could be used for the metabolome changes in azoospermia and the screening of spermatogenesis in azoospermic men.</p>
</sec>
</sec>
<sec id="S0009" sec-type="discussion">
<title>Discussion</title>
<p>Optical spectrospcopy is an excellent technique for diagnosis. Pattern recognition by FT-IR is an easy and a cheap diagnostic test. In the IR different functional groups of peptides, proteins and metabolites can be detected. We applied ATR-IR and FT-IR on whole and extracted metabolites of human seminal plasma.</p>
<p>In the ATR-IR, the sample can be measured in liquid form. Analysis of human seminal plasma in the liquid form showed that there are many components in human seminal plasma in which significant variation can be observed (<xref ref-type="fig" rid="F0001">Figure 1</xref>). We decided to focus on the subcomponents. We extracted the metabolome from human seminal plasma and analyzed it by ATR-IR. However, the O-H group had strong signal and suppressed the signal of lower part of spectra which is shown in <xref ref-type="fig" rid="F0001">figure 1</xref>. We decided to analyze the extracted dried metabolome by FT-IR. The advantage of dried sample is that methanol and water will evaporate and only dried metabolome will be left (<xref ref-type="fig" rid="F0004">Figure 4</xref>).</p>
<fig id="F0004">
<label>Figure 4</label>
<caption>
<p>The extracted dried metabolome from human seminal plasma</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-6-47-g004.tif" alt-version="no"/>
</fig>
<p>The dried metabolome was then dissolved in the chloroform. The chloroform signal will not interfere with metabolites signal (600-4000 <italic>cm</italic>
<sup>&#x2212;1</sup> wave number). As we expected, the fingerprint region of FT-IR spectra showed significant changes. Additionally, it was quite reproducible. We believe that FT-IR could be used for quantification of the extracted metabolome in function groups, if we had access to white diamond liquid sample cell for FT-IR. In order to improve our results, the chemo-metrics method, PCA, was applied on the obtained data. As it is shown in <xref ref-type="fig" rid="F0003">figure 3</xref>, the normospermic and azoospermic men are separated quite differently.</p>
<p>One of the problems, which limited sample collection (inability to collect more than 4 samples each time), was that KBr crystal tablet lost its reproducibility. We believe the reason was that metabolites bind to KBr crystal and we were not able to wash it even with several trials. Therefore, we suggested using white diamond liquid holder for FT-IR measurement. We believe using white diamond liquid holder will improve the obtained results and make FT-IR spectra useful for quantification of metabolome. Another instrument which could be used for pattern recognition is Raman spectroscopy <sup>(<xref ref-type="bibr" rid="CIT0026">26</xref>)</sup>. In this method, liquid can be used and measured quite easily since water does not interfere with the spectra. It is an ideal instrument for human body fluid measurement. However, it should be emphasized that the currently obtained result is preliminary and larger sample size analysis is needed for validation of the method.</p>
</sec>
<sec id="S0010" sec-type="conclusion">
<title>Conclusion</title>
<p>We have shown that chemometrics combined with FT-IR can be used as a simple, fast and cheap screening method for separating human seminal plasma of normospermic versus azoospermic men. Although, this method is a non-invasive way for fast diagnosis of azoospermia, it cannot reveal the details of the problem and biopsy might be needed for having more information on azoospermia.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgement</title>
<p>We would like to thank the entire participants in this small project. We will additionally thank Avicenna Research Institute for the Grant.</p>
</ack>
<ref-list>
<title>References</title>
<ref id="CIT0001">
<label>1</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Owen</surname>
<given-names>DH</given-names>
</name>
<name>
<surname>Katz</surname>
<given-names>DF</given-names>
</name>
</person-group>
<article-title>A review of the physical and chemical properties of human semen and the formulation of a semen simulant</article-title>
<source>J Androl</source>
<year>2005</year>
<volume>26</volume>
<issue>4</issue>
<fpage>459</fpage>
<lpage>469</lpage>
</nlm-citation>
</ref>
<ref id="CIT0002">
<label>2</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bharvaga</surname>
<given-names>PM</given-names>
</name>
<name>
<surname>Bishop</surname>
<given-names>MW</given-names>
</name>
<name>
<surname>Work</surname>
<given-names>TS</given-names>
</name>
</person-group>
<article-title>The chemical composition of bull semen with special reference to nucleic acids, free nucleotides and free amino acids</article-title>
<source>Biochem J</source>
<year>1959</year>
<volume>73</volume>
<fpage>242</fpage>
<lpage>247</lpage>
</nlm-citation>
</ref>
<ref id="CIT0003">
<label>3</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Coetzee</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Kruge</surname>
<given-names>TF</given-names>
</name>
<name>
<surname>Lombard</surname>
<given-names>CJ</given-names>
</name>
</person-group>
<article-title>Predictive value of normal sperm morphology: a structured literature review</article-title>
<source>Hum Reprod Update</source>
<year>1998</year>
<volume>4</volume>
<issue>1</issue>
<fpage>73</fpage>
<lpage>82</lpage>
</nlm-citation>
</ref>
<ref id="CIT0004">
<label>4</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Francavilla</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Pelliccione</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Cordeschi</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Necozione</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Santucci</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Bocchio</surname>
<given-names>M</given-names>
</name>
<etal/>
</person-group>
<article-title>Utrastructural analysis of asthenozoospermic ejaculates in the era of assisted procreation</article-title>
<source>Fertil Steril</source>
<year>2006</year>
<volume>85</volume>
<issue>4</issue>
<fpage>940</fpage>
<lpage>946</lpage>
</nlm-citation>
</ref>
<ref id="CIT0005">
<label>5</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ferrara</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Daverio</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Mazzini</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Bonini</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Banfi</surname>
<given-names>G</given-names>
</name>
</person-group>
<article-title>Automation of human sperm cell analysis by flow cytometry</article-title>
<source>Clin Chem</source>
<year>1997</year>
<volume>43</volume>
<issue>5</issue>
<fpage>801</fpage>
<lpage>807</lpage>
</nlm-citation>
</ref>
<ref id="CIT0006">
<label>6</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sabetian</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Ardekani</surname>
<given-names>AM</given-names>
</name>
<name>
<surname>Hodjat</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Akhondi</surname>
<given-names>MM</given-names>
</name>
<name>
<surname>Soltanghoraee</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Amirjannati</surname>
<given-names>Naser</given-names>
</name>
<etal/>
</person-group>
<article-title>Comparing seminal plasma biomarkers between normospermic and azoospermic Men</article-title>
<source>J Reprod Infertil</source>
<year>2010</year>
<volume>11</volume>
<issue>1</issue>
<fpage>39</fpage>
<lpage>46</lpage>
</nlm-citation>
</ref>
<ref id="CIT0007">
<label>7</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Goodacre</surname>
<given-names>R</given-names>
</name>
</person-group>
<article-title>Metabolomics of a superorganism</article-title>
<source>J Nutr</source>
<year>2007</year>
<volume>137</volume>
<supplement>1 Suppl</supplement>
<fpage>259S</fpage>
<lpage>66</lpage>
</nlm-citation>
</ref>
<ref id="CIT0008">
<label>8</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Weiss</surname>
<given-names>RH</given-names>
</name>
<name>
<surname>Kim</surname>
<given-names>K</given-names>
</name>
</person-group>
<article-title>Metabolomics in the study of kidney diseases</article-title>
<source>Nat Rev Nephrol</source>
<year>2011</year>
<volume>8</volume>
<issue>1</issue>
<fpage>22</fpage>
<lpage>33</lpage>
</nlm-citation>
</ref>
<ref id="CIT0009">
<label>9</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Meseguer</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Garrido</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Martinez-Conejero</surname>
<given-names>JA</given-names>
</name>
<name>
<surname>Simon</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Pellicer</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Remohi</surname>
<given-names>J</given-names>
</name>
</person-group>
<article-title>Relationship between standard semen parameters, calcium, cholesterol contents, and mitochondrial activity in ejaculated spermatozoa from fertile and infertile males</article-title>
<source>J Assist Reprod Genet</source>
<year>2004</year>
<volume>21</volume>
<issue>12</issue>
<fpage>445</fpage>
<lpage>451</lpage>
</nlm-citation>
</ref>
<ref id="CIT0010">
<label>10</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Maquelin</surname>
<given-names>K</given-names>
</name>
<name>
<surname>Kirschner</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Choo-Smith</surname>
<given-names>LP</given-names>
</name>
<name>
<surname>van den Braak</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Endtz</surname>
<given-names>HP</given-names>
</name>
<name>
<surname>Naumann</surname>
<given-names>D</given-names>
</name>
<etal/>
</person-group>
<article-title>Identification of medically relevant microorganisms by vibrational spectroscopy</article-title>
<source>J Microbiol Methods</source>
<year>2002</year>
<volume>51</volume>
<issue>3</issue>
<fpage>255</fpage>
<lpage>271</lpage>
</nlm-citation>
</ref>
<ref id="CIT0011">
<label>11</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sandt</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Madoulet</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Kohler</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Allouch</surname>
<given-names>P</given-names>
</name>
<name>
<surname>De Champs</surname>
<given-names>C</given-names>
</name>
<name>
<surname>Manfait</surname>
<given-names>M</given-names>
</name>
<etal/>
</person-group>
<article-title>FT-IR microspectroscopy for early identification of some clinically relevant pathogens</article-title>
<source>J Appl Microbiol</source>
<year>2006</year>
<volume>101</volume>
<issue>4</issue>
<fpage>785</fpage>
<lpage>797</lpage>
</nlm-citation>
</ref>
<ref id="CIT0012">
<label>12</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chiriboga</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Xie</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Yee</surname>
<given-names>H</given-names>
</name>
<name>
<surname>Zarou</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Zakim</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Diem</surname>
<given-names>M</given-names>
</name>
</person-group>
<article-title>Infrared spectroscopy of human tissue. IV. Detection of dysplastic and neoplastic changes of human cervical tissue via infrared microscopy</article-title>
<source>Cell Mol Biol (Noisy-le-grand)</source>
<year>1998</year>
<volume>44</volume>
<issue>1</issue>
<fpage>219</fpage>
<lpage>229</lpage>
</nlm-citation>
</ref>
<ref id="CIT0013">
<label>13</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wong</surname>
<given-names>PT</given-names>
</name>
<name>
<surname>Wong</surname>
<given-names>RK</given-names>
</name>
<name>
<surname>Caputo</surname>
<given-names>TA</given-names>
</name>
<name>
<surname>Godwin</surname>
<given-names>TA</given-names>
</name>
<name>
<surname>Rigas</surname>
<given-names>B</given-names>
</name>
</person-group>
<article-title>Infrared spectroscopy of exfoliated human cervical cells: evidence of extensive structural changes during carcinogenesis</article-title>
<source>Proc Natl Acad Sci USA</source>
<year>1991</year>
<volume>88</volume>
<issue>24</issue>
<fpage>10988</fpage>
<lpage>10992</lpage>
</nlm-citation>
</ref>
<ref id="CIT0014">
<label>14</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rigas</surname>
<given-names>B</given-names>
</name>
<name>
<surname>Morgello</surname>
<given-names>S</given-names>
</name>
<name>
<surname>Goldman</surname>
<given-names>IS</given-names>
</name>
<name>
<surname>Wong</surname>
<given-names>PT</given-names>
</name>
</person-group>
<article-title>Human colorectal cancers display abnormal Fourier transform infrared spectra</article-title>
<source>Proc Natl Acad Sci USA</source>
<year>1990</year>
<volume>87</volume>
<issue>20</issue>
<fpage>8140</fpage>
<lpage>8144</lpage>
</nlm-citation>
</ref>
<ref id="CIT0015">
<label>15</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gaigneaux</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Ruysschaert</surname>
<given-names>JM</given-names>
</name>
<name>
<surname>Goormaghtigh</surname>
<given-names>E</given-names>
</name>
</person-group>
<article-title>Infrared spectroscopy as a tool for discrimination between sensitive and multiresistant K562 cells</article-title>
<source>Eur J Biochem</source>
<year>2002</year>
<volume>269</volume>
<issue>7</issue>
<fpage>1968</fpage>
<lpage>1973</lpage>
</nlm-citation>
</ref>
<ref id="CIT0016">
<label>16</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Steiner</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Shaw</surname>
<given-names>A</given-names>
</name>
<name>
<surname>Choo-Smith</surname>
<given-names>LP</given-names>
</name>
<name>
<surname>Abuid</surname>
<given-names>MH</given-names>
</name>
<name>
<surname>Schackert</surname>
<given-names>G</given-names>
</name>
<name>
<surname>Sobottka</surname>
<given-names>S</given-names>
</name>
<etal/>
</person-group>
<article-title>Distinguishing and grading human gliomas by IR spectroscopy</article-title>
<source>Biopolymers</source>
<year>2003</year>
<volume>72</volume>
<issue>6</issue>
<fpage>464</fpage>
<lpage>471</lpage>
</nlm-citation>
</ref>
<ref id="CIT0017">
<label>17</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Davis</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Irudayaraj</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Reuhs</surname>
<given-names>BL</given-names>
</name>
<name>
<surname>Mauer</surname>
<given-names>LJ</given-names>
</name>
</person-group>
<article-title>Detection of E. coli O157:H7 from ground beef using Fourier transform infrared (FT-IR) spectroscopy and chemometrics</article-title>
<source>J Food Sci</source>
<year>2010</year>
<volume>75</volume>
<issue>6</issue>
<fpage>M340</fpage>
<lpage>346</lpage>
</nlm-citation>
</ref>
<ref id="CIT0018">
<label>18</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Muller</surname>
<given-names>JJ</given-names>
</name>
<name>
<surname>Neumann</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Scholl</surname>
<given-names>P</given-names>
</name>
<name>
<surname>Hilterhaus</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Eckstein</surname>
<given-names>M</given-names>
</name>
<name>
<surname>Thum</surname>
<given-names>O</given-names>
</name>
<etal/>
</person-group>
<article-title>Online monitoring of biotransformations in high viscous multiphase systems by means of FT-IR and chemometrics</article-title>
<source>Anal Chem</source>
<year>2010</year>
<volume>82</volume>
<issue>14</issue>
<fpage>6008</fpage>
<lpage>6014</lpage>
</nlm-citation>
</ref>
<ref id="CIT0019">
<label>19</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ioannou-Papayianni</surname>
<given-names>E</given-names>
</name>
<name>
<surname>Kokkinofta</surname>
<given-names>RI</given-names>
</name>
<name>
<surname>Theocharis</surname>
<given-names>CR</given-names>
</name>
</person-group>
<article-title>Authenticity of cypriot sweet wine commandaria using FT-IR and chemometrics</article-title>
<source>J Food Sci</source>
<year>2011</year>
<volume>76</volume>
<issue>3</issue>
<fpage>C420</fpage>
<lpage>427</lpage>
</nlm-citation>
</ref>
<ref id="CIT0020">
<label>20</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname>
<given-names>X</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>QB</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>GJ</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>YZ</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>XJ</given-names>
</name>
<name>
<surname>Shi</surname>
<given-names>JS</given-names>
</name>
<etal/>
</person-group>
<article-title>Identification of colitis and cancer in colon biopsies by Fourier Transform Infrared spectroscopy and chemometrics</article-title>
<source>ScientificWorldJournal</source>
<year>2012</year>
<volume>2012</volume>
<fpage>936149</fpage>
<comment>Epub 2012/05/31</comment>
</nlm-citation>
</ref>
<ref id="CIT0021">
<label>21</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schmidtke</surname>
<given-names>LM</given-names>
</name>
<name>
<surname>Smith</surname>
<given-names>JP</given-names>
</name>
<name>
<surname>Muller</surname>
<given-names>MC</given-names>
</name>
<name>
<surname>Holzapfel</surname>
<given-names>BP</given-names>
</name>
</person-group>
<article-title>Rapid monitoring of grapevine reserves using ATR-FT-IR and chemometrics</article-title>
<source>Anal Chim Acta</source>
<year>2012</year>
<volume>732</volume>
<fpage>16</fpage>
<lpage>25</lpage>
</nlm-citation>
</ref>
<ref id="CIT0022">
<label>22</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Psychogios</surname>
<given-names>N</given-names>
</name>
<name>
<surname>Hau</surname>
<given-names>DD</given-names>
</name>
<name>
<surname>Peng</surname>
<given-names>J</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>AC</given-names>
</name>
<name>
<surname>Mandal</surname>
<given-names>R</given-names>
</name>
<name>
<surname>Bouatra</surname>
<given-names>S</given-names>
</name>
<etal/>
</person-group>
<article-title>The human serum metabolome</article-title>
<source>PLoS One</source>
<year>2011</year>
<volume>6</volume>
<issue>2</issue>
<fpage>e16957</fpage>
</nlm-citation>
</ref>
<ref id="CIT0023">
<label>23</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Deepinder</surname>
<given-names>F</given-names>
</name>
<name>
<surname>Chowdary</surname>
<given-names>HT</given-names>
</name>
<name>
<surname>Agarwal</surname>
<given-names>A</given-names>
</name>
</person-group>
<article-title>Role of metabolomic analysis of biomarkers in the management of male infertility</article-title>
<source>Expert Rev Mol Diagn</source>
<year>2007</year>
<volume>7</volume>
<issue>4</issue>
<fpage>351</fpage>
<lpage>358</lpage>
</nlm-citation>
</ref>
<ref id="CIT0024">
<label>24</label>
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Donald</surname>
<given-names>LP</given-names>
</name>
<name>
<surname>Gary</surname>
<given-names>ML</given-names>
</name>
<name>
<surname>George</surname>
<given-names>SK</given-names>
</name>
<name>
<surname>James</surname>
<given-names>RV</given-names>
</name>
</person-group>
<source>Introduction to spectroscopy</source>
<year>2009</year>
<publisher-loc>USA</publisher-loc>
<publisher-name>Brooks/Cole CENGAGE Learning</publisher-name>
</nlm-citation>
</ref>
<ref id="CIT0025">
<label>25</label>
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Brereton</surname>
<given-names>RG</given-names>
</name>
</person-group>
<source>Chemometrics: Data analysis for the laboratory and chemical plant</source>
<year>2003</year>
<publisher-loc>Chichester, UK</publisher-loc>
<publisher-name>John Wiley &#x0026; Sons Ltd</publisher-name>
</nlm-citation>
</ref>
<ref id="CIT0026">
<label>26</label>
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Botros</surname>
<given-names>L</given-names>
</name>
<name>
<surname>Sakkas</surname>
<given-names>D</given-names>
</name>
<name>
<surname>Seli</surname>
<given-names>E</given-names>
</name>
</person-group>
<article-title>Metabolomics and its application for non-invasive embryo assessment in IVF</article-title>
<source>Mol Hum Reprod</source>
<year>2008</year>
<volume>14</volume>
<issue>12</issue>
<fpage>679</fpage>
<lpage>690</lpage>
</nlm-citation>
</ref>
</ref-list>
</back>
</article>
