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首页> 外文期刊>Food analytical methods >Nondestructive and Rapid Assessment of Intact Tomato Freshness and Lycopene Content Based on a Miniaturized Raman Spectroscopic System and Colorimetry
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Nondestructive and Rapid Assessment of Intact Tomato Freshness and Lycopene Content Based on a Miniaturized Raman Spectroscopic System and Colorimetry

机译:基于小型拉曼光谱系统和比色法的完整番茄新鲜度和番茄红素含量的无损快速评估

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摘要

Tomatoes and tomato-related products are associated with many health benefits and disease risk reduction. This work was to explore the use of a miniaturized Raman spectroscopic system for rapid and nondestructive quality assessment of intact tomatoes. Combined with colorimetry and spectrophotometry methods, surface color and lycopene content of intact tomatoes were measured as references. The ratio of two chromaticity indices a*/b* of tomato surface increased when their freshness declined; the correlation coefficient (r) of the second-order polynomial curve-fitting was 0.908. The freshness discriminant model developed on Raman spectra gave a correctness of 85.6 %. The quantitative models performed poorly for predicting lycopene content based on Raman spectra. From the results obtained, it can be concluded that the established miniaturized Raman spectroscopic system was feasible for assessing the freshness of intact tomatoes. However, it is difficult to predict the lycopene content accurately.
机译:西红柿和西红柿相关产品与许多健康益处和减少疾病风险有关。这项工作是探索使用小型拉曼光谱系统对完整番茄进行快速且无损的质量评估。结合比色法和分光光度法,测定完整番茄的表面颜色和番茄红素含量。番茄表面的两个色度指数a * / b *的比值随新鲜度的降低而增加;二阶多项式曲线拟合的相关系数(r)为0.908。在拉曼光谱上建立的新鲜度判别模型给出的正确率为85.6%。定量模型在基于拉曼光谱预测番茄红素含量方面表现不佳。从获得的结果可以得出结论,建立的小型拉曼光谱系统对于评估完整西红柿的新鲜度是可行的。但是,难以准确地预测番茄红素的含量。

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