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          <dc:title>Predictive model of aflatoxin contamination risk associated with granary-stored corn with versicolorin A monitoring and logistic regression</dc:title>
          <dc:creator>Meng Ping Jiang (6275225)</dc:creator>
          <dc:creator>Shao Yan Zheng (6275228)</dc:creator>
          <dc:creator>Hao Wang (39217)</dc:creator>
          <dc:creator>Shu Yao Zhang (6275231)</dc:creator>
          <dc:creator>Dong Sheng Yao (6275234)</dc:creator>
          <dc:creator>Chun Fang Xie (6275237)</dc:creator>
          <dc:creator>Da Ling Liu (25147023)</dc:creator>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Genetics</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Mathematical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Inorganic Chemistry</dc:subject>
          <dc:subject>Plant Biology</dc:subject>
          <dc:subject>Aflatoxin</dc:subject>
          <dc:subject>aflatoxin contamination</dc:subject>
          <dc:subject>predictive mycology</dc:subject>
          <dc:subject>logistic regression</dc:subject>
          <dc:subject>versicolorin A</dc:subject>
          <dc:description>&lt;p&gt;Predictions of aflatoxin (AF) in grain at post-harvest can be useful for ensuring the safety of stored grain. Versicolorin (Ver) A, a precursor of AFB&lt;sub&gt;1&lt;/sub&gt;, can serve as an early indicator of AF contamination, even when AFs themselves are present at undetectable levels. In the current research, we developed a probabilistic model based on logistic regression and Ver A levels to estimate the risk of AF contamination in stored corn. Moisture content, aflatoxigenic fungal load, and initial and maximum values of Ver A in the first three sampling cycles were experimentally determined as the four important factors for the probabilistic model. Both internal and external model validations were shown to be high at 96.4% and 93.3%, respectively. For high-risk samples, a precise model was developed to predict the maximum period of safe storage, which can be useful for decision-making by the stakeholders in feed and food supply chain. Our findings provide a basis tool for establishing an early warning system for AF contamination in granaries, which can improve global food safety.&lt;/p&gt; &lt;p&gt;Assay procedures of the molecular imprinted polymer based chemiluminescence method for determination of chloramphenicol&lt;/p&gt;</dc:description>
          <dc:date>2019-04-01T08:19:58Z</dc:date>
          <dc:type>Text</dc:type>
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          <dc:identifier>10.6084/m9.figshare.7931156.v2</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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