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高光谱图像技术在酱油中L-色氨酸含量分析中的应用

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以3种市售酱油为研究对象,利用二极管阵列检测器结合外标法定量考察酱油中L-色氨酸含量;基于偏最小二乘法进行酱油中L-色氨酸含量预测.结果表明,在最大吸收波长302 nm、流动相pH 5.0、柱温37℃、流速1.2 mL/min、流动相为甲醇比例12%、乙酸钠缓冲液含量0.015 mol/L的乙酸钠缓冲液-甲醇、氢氧化钠浓度0.015 mol/L下进行酱油中L-色氨酸含量检测时效果最优;在光谱范围462~506 nm、612~698 nm、794~858 nm之间时,校正集相关系数为0.9851,均方根误差为0.491;预测集相关系数为0.9873,均方根误差为0.373,其模型精度最高.利用高光谱图像技术可以快速有效地进行酱油中L-色氨酸含量的测定,其结果可为酱油分析提供理论依据和数据支持.
Application of Hyperspectral Imaging Technology in Analysis of L-Tryptophan Content in Soy Sauce
Taking three types of commercially available soy sauce as the research objects,the content of L-tryptophan in soy sauce is quantitatively examined using diode array detector combined with external standard method. The prediction of L-tryptophan content in soy sauce is carried out based on partial least squares method. The results show that the detection effect of L-tryptophan content in soy sauce is the best when the maximum absorption wavelength is 302 nm,the pH of the mobile phase is 5.0,the column temperature is 37 ℃,the flow velocity is 1.2 mL/min,the mobile phase is sodium acetate buffer-methanol with the methanol proportion of 12% and the sodium acetate buffer content of 0.015 mol/L,and the concentration of sodium hydroxide is 0.015 mol/L. When the spectral range is 462~506 nm,612~698 nm and 794~858 nm,the correlation coefficient of the calibration set is 0.9851 and the root mean square error is 0.491;the correlation coefficient of the prediction set is 0.9873 and the root mean square error is 0.373,indicating that the accuracy of the model is the highest. Using hyperspectral imaging technology can rapidly and effectively determine the L-tryptophan content in soy sauce,and the results can provide a theoretical basis and data support for soy sauce analysis.

hyperspectral imaging technologysoy sauceL-tryptophan content

张焕俊、徐清磊、王雯雯

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驻马店职业技术学院,河南 驻马店 463000

天津外国语大学滨海外事学院,天津 300270

高光谱图像技术 酱油 L-色氨酸含量

2024

中国调味品
全国调味品科技情报中心站

中国调味品

CSTPCD北大核心
影响因子:0.541
ISSN:1000-9973
年,卷(期):2024.49(12)