<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>30093</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>98</pageFirst>
    <pageLast>107</pageLast>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>39</volume>
    <type>articler</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-01-19</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Optimization of lactic acid production by Lactobacillus plantarum strain Hui1 in a medium containing sugar cane molasses</title>
    <abstract language="eng">The aim of this study was to optimize lactic acid production by a native strain (Huil) of Lactobacillus plantarum isolated from a Peruvian Amazon fruit (Genipa americana) in a medium supplemented with an agroindustrial by-product such as sugar cane molasses. Optimization was performed though one-factor-at-a-time studies followed by the Placket-Burman and central composite designs. The data were analyzed by using the Statistica® 10 software. Several carbon, nitrogen and ion sources were tested, and the optimum concentration of lactic acid achieved was 84.2 g L-1 in a medium containing as follows (in g L-1): meat extract, 18.69; tryptone, 7.88; sugar cane molasses, 140; calcium carbonate, 15; dipotassium phosphate, 1; manganese phosphate, 0.03; sodium acetate, 5, and magnesium sulphate, 0.2. In addition, a high degree of conversion from sugar cane molasses to lactic acid was obtained (Yp/e 0.898 g g-1). These results indicate the potential of Lactobacil-lus plantarum strain Hui1 to produce lactic acid in a medium supplemented with sugar cane molasses, an underutilized industrial by-product.</abstract>
    <parentTitle language="eng">Agronomía Colombiana</parentTitle>
    <identifier type="url">https://revistas.unal.edu.co/index.php/agrocol/article/view/89674</identifier>
    <identifier type="doi">10.15446/agron.colomb.v39n1.89674</identifier>
    <identifier type="issn">0120-9965</identifier>
    <identifier type="issn">2357-3732</identifier>
    <enrichment key="BTU">an der BTU erstellt / created at BTU</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="Publikationsweg">Open Access</enrichment>
    <enrichment key="Fprofil">1 Energiewende und Dekarbonisierung / Energy Transition and Decarbonisation</enrichment>
    <enrichment key="Fprofil">4 Künstliche Intelligenz und Sensorik / Artificial Intelligence and Sensor Technology</enrichment>
    <author>
      <firstName>Stephy</firstName>
      <lastName>Saavedra</lastName>
    </author>
    <submitter>
      <firstName>Bogdan</firstName>
      <lastName>Dorneanu</lastName>
    </submitter>
    <author>
      <firstName>Luis</firstName>
      <lastName>Alejandro-Paredes</lastName>
    </author>
    <author>
      <firstName>Juan Carlos</firstName>
      <lastName>Flores-Santos</lastName>
    </author>
    <author>
      <firstName>Carol Nathali</firstName>
      <lastName>Flores-Fernández</lastName>
    </author>
    <author>
      <firstName>Harvey</firstName>
      <lastName>Arellano-García</lastName>
    </author>
    <author>
      <firstName>Amparo Iris</firstName>
      <lastName>Zavaleta</lastName>
    </author>
    <collection role="institutes" number="3603">FG Prozess- und Anlagentechnik</collection>
  </doc>
</export-example>
