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          <family>Xian</family>
          <given>Dongni</given>
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        <affiliation>Guangzhou University</affiliation>
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          <family>Liu</family>
          <given>Peng</given>
        </name>
        <id>liu_peng@gzu.edu.cn</id>
        <orcid>0000-0001-8823-2399</orcid>
        <affiliation>Guangzhou University</affiliation>
        <contact>FALSE</contact>
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        <name>
          <family>Wu</family>
          <given>Silin</given>
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        <id>2434987417@qq.com</id>
        <affiliation>Guangzhou University</affiliation>
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          <family>Yuan</family>
          <given>Yang</given>
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        <affiliation>Guangzhou University</affiliation>
        <contact>FALSE</contact>
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          <given>Fengwei</given>
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        <orcid>0000-0002-2033-082X</orcid>
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    <title>Dataset for &quot;Augmenting corn starch gel printability for architectural 3D modeling for customized food&quot;</title>
    <subjects>
      <item>EP0030</item>
      <item>GE0030</item>
      <item>JK0300</item>
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    <divisions>
      <item>dept_chem_eng</item>
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    <keywords>Corn starch gel, 3D printing inks, Polysaccharide/protein inks, Architectural 3D models, Self-supporting inks, High-amylose starch</keywords>
    <note>The names of the Origin (Unicode) Project (.opju) files correspond to the figure numbers in the associated paper. For the detailed information regarding the samples tested, refer to the respective figure captions in the associated paper.</note>
    <abstract>This dataset results from a study that aimed to bolster the printability of normal corn starch (NCS) through integration with pregelatinized (PG) high-amylose starch (G50 and G70, with 55% and 68% amylose contents, respectively) and proteins (soy, wheat, pea protein isolates, and whey protein). The PG starch was prepared by disorganizing the high-amylose starches in 33% CaCl₂ solution and then precipitating them with ethanol.

The dataset contains all raw data for the characteristics (rheological properties, expansion rate, texture, digestibility, height, water loss, and moisture content) of different formulations involving the effects of PG high-amylose type, PG-G70 content, protein type, and soybean protein isolate (SPI) content. It also contains the Origin (Unicode) Project files used to generate the plots shown in the associated paper, &quot;Augmenting corn starch gel printability for architectural 3D modeling for customized food&quot;.</abstract>
    <date>2024-09-04</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
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    <funding>
      <item>
        <funder_name>Engineering and Physical Sciences Research Council</funder_name>
        <funder_id>https://doi.org/10.13039/501100000266</funder_id>
        <grant_id>EP/V002236/3</grant_id>
        <project_name>Breaking FROntiers for advanced engineering of bespoke, functional Biopolymer COmposite materials</project_name>
      </item>
      <item>
        <funder_name>People&apos;s Government of Guangdong Province</funder_name>
        <funder_id>https://doi.org/10.13039/501100002912</funder_id>
        <grant_id>pdjh2023b0413</grant_id>
        <project_name>Special Funds for the Cultivation of Guangdong College Students’ Scientific and Technological Innovation (&quot;Climbing Program&quot; Special Funds) Award</project_name>
      </item>
    </funding>
    <collection_method>For details of the methodology, see the &quot;Materials and methods&quot; section of the associated paper.</collection_method>
    <techinfo>The files were created using Excel and Origin software programs.</techinfo>
    <methodurl>
      <item>https://doi.org/10.1016/j.foodhyd.2024.110294</item>
    </methodurl>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-01435</doi>
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        <link>https://doi.org/10.1016/j.foodhyd.2024.110294</link>
        <type>pub</type>
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