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Simplified Quantification of Representative Bioactives in Food Through TLC Image Analysis
Food Analytical Methods ( IF 2.6 ) Pub Date : 2019-10-15 , DOI: 10.1007/s12161-019-01645-x
Lujing Xu , Tong Shu , Songbai Liu

In this work, simplified quantification of representative bioactives through thin-layer chromatography (TLC) image was established employing state-of-the-art quantitative image analysis technology. A general protocol including developing system, visualization condition, and image analysis procedure was developed for representative bioactives such as polyphenols, flavonoids, anthocyanins, phytosterols, and carotenoids. Applicability of this method including linearity, repeatability, and accuracy was validated by comparison with the conventional UV-Vis spectrophotometry methods. Application in actual food samples including carrot and green tea demonstrated this method was accurate and selective. The high-throughput potential of this method was also demonstrated. This method is free from special instrument, is efficient, and would be a fantastic substitute for the conventional UV-Vis spectrophotometry methods. This work has unveiled the power of quantitative image analysis in bioactive analysis and would encourage further application in food industry.

中文翻译:

通过TLC图像分析简化食品中代表性生物活性物质的定量

在这项工作中,采用最先进的定量图像分析技术,通过薄层色谱(TLC)图像建立了代表性生物活性物质的简化定量方法。针对包括多酚,类黄酮,花青素,植物甾醇和类胡萝卜素在内的代表性生物活性物质,开发了包括开发系统,可视化条件和图像分析程序的通用协议。通过与常规UV-Vis分光光度法进行比较,验证了该方法的适用性(包括线性,可重复性和准确性)。在包括胡萝卜和绿茶在内的实际食品样品中的应用证明了该方法的准确性和选择性。还证明了该方法的高通量潜力。此方法无需特殊仪器,效率高,它将是常规UV-Vis分光光度法的理想替代品。这项工作揭示了定量图像分析在生物活性分析中的强大功能,并将鼓励在食品工业中的进一步应用。
更新日期:2019-12-11
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