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<titleInfo><title>Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer</title></titleInfo>


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<name type="personal">
  <namePart type="given">Imke</namePart>
  <namePart type="family">Weishaupt</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">58425</identifier></name>
<name type="personal">
  <namePart type="given">Manuel</namePart>
  <namePart type="family">Zimmer</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">71613</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0002-9974-2543</description></name>
<name type="personal">
  <namePart type="given">Peter</namePart>
  <namePart type="family">Neubauer</namePart>
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<name type="personal">
  <namePart type="given">Jan</namePart>
  <namePart type="family">Schneider</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">13209</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0001-6401-8873</description></name>







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<abstract lang="eng">Near infrared spectroscopy in combination with a transflection probe was investigated as inline measurement in a continuous flash pasteurizer system with a sugar-water model solution. Robustness and reproducibility of fluctuations of recorded spectra as well as trueness of the chemometric analysis were compared under different process parameter settings. Variable parameters were the flow rate (from laminar flow at 30 L/h to turbulent flow at 90 L/h), temperature (20 to 100 degrees C) and the path length of the transflection probe (2 and 4 mm) while the pressure was kept constant at 2.5 bar. Temperature and path length were identified as the most affecting parameters, in case of homogenous test medium. In case of particle containing systems, the flow rate could have an impact as well. However, the application of a PLS model, which includes a broad temperature range, and the correction of prediction results by applying a polynomial regression function for prediction errors, was able to compensate these effects. Also, a path length of 2 mm leads to a higher accuracy. The applied strategy shows that by the identification of relevant process parameters and settings as well as the establishment of a compensation strategy, near infrared spectroscopy is a powerful process analytical tool for continuous flash pasteurization systems.</abstract>

<originInfo><dateIssued encoding="w3cdtf">2020</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<subject><topic>flash pasteurization</topic><topic>inline near infrared spectroscopy</topic><topic>multivariate data analysis</topic><topic>process condition influences</topic><topic>sugar-water-solution model beverage</topic>
</subject>


<relatedItem type="host"><titleInfo><title>Journal of Food Science</title></titleInfo>
  <identifier type="eIssn">1750-3841</identifier>
  <identifier type="isbn">0022-1147</identifier>
  <identifier type="MEDLINE">32602154</identifier>
  <identifier type="ISI">000543977000001</identifier><identifier type="doi">10.1111/1750-3841.15307</identifier>
<part><detail type="volume"><number>85</number></detail><detail type="issue"><number>7</number></detail><extent unit="pages">2020 - 2031</extent>
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<apa>Weishaupt, I., Zimmer, M., Neubauer, P., &amp;#38; Schneider, J. (2020). Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer. &lt;i&gt;Journal of Food Science&lt;/i&gt;, &lt;i&gt;85&lt;/i&gt;(7), 2020–2031. &lt;a href=&quot;https://doi.org/10.1111/1750-3841.15307&quot;&gt;https://doi.org/10.1111/1750-3841.15307&lt;/a&gt;</apa>
<din1505-2-1>&lt;span style=&quot;font-variant:small-caps;&quot;&gt;Weishaupt, Imke&lt;/span&gt; ; &lt;span style=&quot;font-variant:small-caps;&quot;&gt;Zimmer, Manuel&lt;/span&gt; ; &lt;span style=&quot;font-variant:small-caps;&quot;&gt;Neubauer, Peter&lt;/span&gt; ; &lt;span style=&quot;font-variant:small-caps;&quot;&gt;Schneider, Jan&lt;/span&gt;: Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer. In: &lt;i&gt;Journal of Food Science&lt;/i&gt; Bd. 85 (2020), Nr. 7, S. 2020–2031</din1505-2-1>
<ieee>I. Weishaupt, M. Zimmer, P. Neubauer, and J. Schneider, “Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer,” &lt;i&gt;Journal of Food Science&lt;/i&gt;, vol. 85, no. 7, pp. 2020–2031, 2020, doi: &lt;a href=&quot;https://doi.org/10.1111/1750-3841.15307&quot;&gt;10.1111/1750-3841.15307&lt;/a&gt;.</ieee>
<van>Weishaupt I, Zimmer M, Neubauer P, Schneider J. Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer. Journal of Food Science. 2020;85(7):2020–31.</van>
<chicago>Weishaupt, Imke, Manuel Zimmer, Peter Neubauer, and Jan Schneider. “Model Based Optimization of Transflection near Infrared Spectroscopy as a Process Analytical Tool in a Continuous Flash Pasteurizer.” &lt;i&gt;Journal of Food Science&lt;/i&gt; 85, no. 7 (2020): 2020–31. &lt;a href=&quot;https://doi.org/10.1111/1750-3841.15307&quot;&gt;https://doi.org/10.1111/1750-3841.15307&lt;/a&gt;.</chicago>
<mla>Weishaupt, Imke, et al. “Model Based Optimization of Transflection near Infrared Spectroscopy as a Process Analytical Tool in a Continuous Flash Pasteurizer.” &lt;i&gt;Journal of Food Science&lt;/i&gt;, vol. 85, no. 7, 2020, pp. 2020–31, &lt;a href=&quot;https://doi.org/10.1111/1750-3841.15307&quot;&gt;https://doi.org/10.1111/1750-3841.15307&lt;/a&gt;.</mla>
<chicago-de>Weishaupt, Imke, Manuel Zimmer, Peter Neubauer und Jan Schneider. 2020. Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer. &lt;i&gt;Journal of Food Science&lt;/i&gt; 85, Nr. 7: 2020–2031. doi:&lt;a href=&quot;https://doi.org/10.1111/1750-3841.15307&quot;&gt;10.1111/1750-3841.15307&lt;/a&gt;, .</chicago-de>
<ufg>&lt;b&gt;Weishaupt, Imke u. a.&lt;/b&gt;: Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer, in: &lt;i&gt;Journal of Food Science&lt;/i&gt; 85 (2020), H. 7,  S. 2020–2031.</ufg>
<bjps>&lt;b&gt;Weishaupt I &lt;i&gt;et al.&lt;/i&gt;&lt;/b&gt; (2020) Model Based Optimization of Transflection near Infrared Spectroscopy as a Process Analytical Tool in a Continuous Flash Pasteurizer. &lt;i&gt;Journal of Food Science&lt;/i&gt; &lt;b&gt;85&lt;/b&gt;, 2020–2031.</bjps>
<havard>I. Weishaupt, M. Zimmer, P. Neubauer, J. Schneider, Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer, Journal of Food Science. 85 (2020) 2020–2031.</havard>
<short>I. Weishaupt, M. Zimmer, P. Neubauer, J. Schneider, Journal of Food Science 85 (2020) 2020–2031.</short>
<ama>Weishaupt I, Zimmer M, Neubauer P, Schneider J. Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous flash pasteurizer. &lt;i&gt;Journal of Food Science&lt;/i&gt;. 2020;85(7):2020-2031. doi:&lt;a href=&quot;https://doi.org/10.1111/1750-3841.15307&quot;&gt;10.1111/1750-3841.15307&lt;/a&gt;</ama>
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