<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Control of phycocyanin production from Spirulina platensis in fed-batch reactor using mid course correction policy</title>
  </titleInfo>
  <name type="personal">
    <namePart>Nor Fatihah Ab Ghani</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">theses</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">my</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Kuantan, Pahang</placeTerm>
    </place>
    <publisher>UMP</publisher>
    <dateIssued>2012</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xiii, 43 p. : ill. ; 30 cm. + 1 CD-ROM</extent>
  </physicalDescription>
  <abstract>Phycocyanin is a product of cultivation of Spirulina platensis, a blue-green microalga. Phycocyanin is widely used in medical treatment as a cancer inhibitor and as a natural dye for cosmetics and foods. Spirulina platensis has been cultivated recently in fed batch reactor to optimize the cell growth and product formation. Large scale production of Spirulina platensis gives more advantage especially in production cost but it is hard to control the final product to the desired value due to the disturbance occurred during the cultivation process. Therefore, Mid-Course Correction (MCC) policy is introduced to the process. Throughout the MCC, a model predictor is constructed to predict the final product concentration based on the previous experimental data. A control model is build for phycocyanin production based on the light intensity adjustment. The adjustment is made on day 5 of the cultivation process and simulation is done to recheck whether the final phycocyanin production is fall in the desired range.</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Nor Fatihah Ab Ghani</note>
  <note>Project paper (Bachelor of Chemical Engineering (Biotechnology)) -- Universiti Malaysia Pahang – 2012</note>
  <note>Bibliography : p. [41]-43</note>
  <subject authority="lcsh">
    <topic>Cyanobacterial blooms</topic>
  </subject>
  <identifier type="isbn">THE0002281(Local)</identifier>
  <recordInfo>
    <recordContentSource authority="marcorg">UMP</recordContentSource>
    <recordCreationDate encoding="marc">131031</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251114204538.0</recordChangeDate>
    <recordIdentifier source="KUKTEM">vtls000075820</recordIdentifier>
  </recordInfo>
</mods>
