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<p>Hot air drying is a frequently used method to extend the shelf life of <i>Chestnut</i>. Starch and moisture, being the main components of <i>Chestnuts</i>, undergo changes during hot air drying that determine the quality of the dried <i>Chestnuts</i>. In this study, the changes in quality parameters like moisture, hardness, and amylose content that affected starch aging in drying were analyzed by combining low-field nuclear magnetic resonance and Raman spectroscopy techniques. By comparing with the experimental methods, a non-destructive analysis of the degree of starch aging in <i>Chestnuts</i> was achieved. The concept of freshness based on LF-NMR and Raman spectral technology was proposed. After modeling and analysis, the <i>R</i><sup>2</sup> of the combined technology for predicting moisture, hardness, and amylose content was 0.85, 0.80, and 0.87 respectively. The remaining prediction deviations were 2.10, 1.89, and 1.88 respectively. The results showed that the combined effect of Raman spectroscopy and LF-NMR is superior to the predictive effect of Raman spectroscopy and MRI. An efficient, comprehensive, and accurate quantitative analysis of the aging degree of <i>Chestnuts</i> could be achieved by the technology fusion method. This study provides a non-destructive and real-time method for monitoring the quality changes of <i>Chestnuts</i> in drying.</p>

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Real-Time Monitoring of the Quality Changes in Chestnut (Ctanea mollissima Blume) with Low-Field Nuclear Magnetic Resonance–Raman Technology in Hot Air Drying

  • 期刊论文

  • 发表日期：

    2025年12月9日

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  • Yan Li,
  • Tian Tan,
  • Xueying Zhang,
  • Dongmin Yin,
  • Haoxuan Li,
  • Xiaojing Chen,
  • Bing Zhang,
  • Jun Sun,
  • Xiaojiao Du,
  • Kunshan Yao,
  • Xinyu Chen

摘要

Hot air drying is a frequently used method to extend the shelf life of Chestnut. Starch and moisture, being the main components of Chestnuts, undergo changes during hot air drying that determine the quality of the dried Chestnuts. In this study, the changes in quality parameters like moisture, hardness, and amylose content that affected starch aging in drying were analyzed by combining low-field nuclear magnetic resonance and Raman spectroscopy techniques. By comparing with the experimental methods, a non-destructive analysis of the degree of starch aging in Chestnuts was achieved. The concept of freshness based on LF-NMR and Raman spectral technology was proposed. After modeling and analysis, the R2 of the combined technology for predicting moisture, hardness, and amylose content was 0.85, 0.80, and 0.87 respectively. The remaining prediction deviations were 2.10, 1.89, and 1.88 respectively. The results showed that the combined effect of Raman spectroscopy and LF-NMR is superior to the predictive effect of Raman spectroscopy and MRI. An efficient, comprehensive, and accurate quantitative analysis of the aging degree of Chestnuts could be achieved by the technology fusion method. This study provides a non-destructive and real-time method for monitoring the quality changes of Chestnuts in drying.