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Rapid detection of total nitrogen content in soy sauce using NIR spectroscopy

Author

Listed:
  • Jie XU

    (Department of Opto-Electronic Engineering)

  • Furong HUANG

    (Department of Opto-Electronic Engineering)

  • Yuanpeng LI

    (Department of Opto-Electronic Engineering)

  • Zhe CHEN

    (Department of Opto-Electronic Engineering)

  • Yong WANG

    (Department of Food Science and Engineering, Jinan University, Guangzhou, P.R. China)

Abstract

A method for the rapid and nondestructive determination of total nitrogen content in soy sauce was explored. Prediction models were established using near-infrared spectroscopy combined with each of the following techniques: partial least squares (PLS), interval PLS, synergy interval PLS (siPLS), and backward interval PLS. Results showed that each improved forecast model was better than the PLS model. The siPLS method exhibited the best performance. The full spectrum of light soy sauce was divided into 20 subintervals. The combination of four subintervals, namely, 6, 11, 13, and 18, showed the best effect, with a correlation coefficient of 0.9977 and an RMSECV of 0.0198. The full spectrum of dark soy sauce was divided into 20 subintervals. The combination of three subintervals, namely, 14, 17, and 19, showed the best effect, with a correlation coefficient of 0.9818 and an RMSECV of 0.0640. Therefore, the siPLS method can realise a rapid and accurate detection of total nitrogen content in soy sauce.

Suggested Citation

  • Jie XU & Furong HUANG & Yuanpeng LI & Zhe CHEN & Yong WANG, 2015. "Rapid detection of total nitrogen content in soy sauce using NIR spectroscopy," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 33(6), pages 518-522.
    • Handle: RePEc:caa:jnlcjf:v:33:y:2015:i:6:id:229-2015-cjfs
    DOI: 10.17221/229/2015-CJFS
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    References listed on IDEAS

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    1. Ondřej Jirsa & Marie Hrušková & Ivan Švec, 2007. "Bread features evaluation by NIR analysis," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 25(5), pages 243-248.
    2. Qiang Lü & Ming-Jie Tang & Jian-Rong Cai & Jie-Wen Zhao & Saritporn Vittayapadung, 2011. "Vis/NIR hyperspectral imaging for detection of hidden bruises on kiwifruits," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 29(6), pages 595-602.
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