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The study focuses on the optimization of curdlan content detection based on GB 28304–2012
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Bin XU, Han-Chao TU, Yan-Yun DAI*
Laboratory Testing | 2024, 2(5) : 5 - 9
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Laboratory Testing | 2024, 2(5): 5-9
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The study focuses on the optimization of curdlan content detection based on GB 28304–2012
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Bin XU, Han-Chao TU, Yan-Yun DAI*
Affiliations
  • Shanghai Institute of Quality Inspection and Technical Research Shanghai 200233 China
Outline
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The current national standard employs the phenol-sulfuric acid method for quantifying the curdlan content. However, due to inadequate dispersion of some curdlan particles in the solvent caused by agglomeration during dissolution in a 0.1mol/L sodium hydroxide solution, the results of content detection were found to be unstable. The samples were treated by magnetic stirring, homogenizer dispersion and ethanol dispersion. It was found that: The ethanol effectively disperses the curdlan sample in the sodium hydroxide solution, preventing it from agglomerating. The ethanol method effectively and efficiently addresses the pain point in determining the content of curdlan, offering valuable insights for enhancing the detection methodology.

curdlan  /  content detection  /  national standard  /  method improvement
Bin XU, Han-Chao TU, Yan-Yun DAI. The study focuses on the optimization of curdlan content detection based on GB 28304–2012[J]. Laboratory Testing, 2024 , 2 (5) : 5 -9 .
  • Youth Technology Rising Star Project supported by Shanghai Institute of Quality Inspection and Technical Research(QMX-2023-3-SP)
Year 2024 volume 2 Issue 5
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  • Online Date:2025-07-29
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Funding
Youth Technology Rising Star Project supported by Shanghai Institute of Quality Inspection and Technical Research(QMX-2023-3-SP)
Affiliations
    Shanghai Institute of Quality Inspection and Technical Research Shanghai 200233 China

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*DAI Yan-Yun, Master, Senior Engineer, Deputy Director of Physical and Chemical Department 2, 381 Cangwu Road, Xuhui District, Shanghai 200233, China. E-mail:
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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