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International Journal of Food Properties Volume 26, 2023 - Issue 2
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Research Article

Study on the non-enzymatic electrochemical glucose quantitative detection method in Na2S2O3 neutral solution environment

Jingyu ZhangSchool of Mathematics and Computer Science, Key Laboratory of Forest Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Zhejiang, Hangzhou, ChinaView further author information
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Yaping XieSchool of Mathematics and Computer Science, Key Laboratory of Forest Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Zhejiang, Hangzhou, ChinaView further author information
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Wenhui HanSchool of Mathematics and Computer Science, Key Laboratory of Forest Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Zhejiang, Hangzhou, ChinaView further author information
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Guohua HuiSchool of Mathematics and Computer Science, Key Laboratory of Forest Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Zhejiang, Hangzhou, ChinaORCID Iconhttps://orcid.org/0000-0002-6786-4992View further author information
ORCID Icon,
Yue ZhengSchool of Mathematics and Computer Science, Key Laboratory of Forest Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Zhejiang, Hangzhou, ChinaView further author information
,
Qiansheng YeSchool of Mathematics and Computer Science, Key Laboratory of Forest Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Zhejiang, Hangzhou, ChinaView further author information
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Yuxuan XuSchool of Mathematics and Computer Science, Key Laboratory of Forest Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Zhejiang, Hangzhou, ChinaView further author information
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Qi LvSchool of Mathematics and Computer Science, Key Laboratory of Forest Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Zhejiang, Hangzhou, ChinaView further author information
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Chengxiang YongSchool of Mathematics and Computer Science, Key Laboratory of Forest Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Zhejiang, Hangzhou, ChinaView further author information
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Yongzhi LaiSchool of Mathematics and Computer Science, Key Laboratory of Forest Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Zhejiang, Hangzhou, ChinaView further author information
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Xinao ShenSchool of Mathematics and Computer Science, Key Laboratory of Forest Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Zhejiang, Hangzhou, ChinaView further author information
&
Peng WuSchool of Mathematics and Computer Science, Key Laboratory of Forest Sensing Technology and Intelligent Equipment of Department of Forestry, Key Laboratory of Forestry Intelligent Monitoring and Information Technology of Zhejiang Province, Zhejiang A & F University, Zhejiang, Hangzhou, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-1980-8352View further author information
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Pages 3177-3186 | Received 08 Aug 2023, Accepted 27 Sep 2023, Published online: 31 Oct 2023

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