Kusumiyati Kusumiyati, Putri Ine Elisa, Hadiwijaya Yuda, Kartika Agitha, Maulana Yusuf Eka, Sutari Wawan
Master Program of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Sumedang, Indonesia.
Laboratory of Horticulture, Faculty of Agriculture, Universitas Padjadjaran, Sumedang, Indonesia.
Int J Food Sci. 2025 Jan 15;2025:3277288. doi: 10.1155/ijfo/3277288. eCollection 2025.
Marigold flowers, which are also known as L., are widely recognized for their bright colors and health benefits. Therefore, the purpose of this research was to investigate the quality of total carotenoid content (TCC) and quercetin in marigold flowers, specifically the edible ones, using visible near-infrared spectroscopy (Vis-NIRS) technology. Both bioactive compounds in these flowers were assessed using Vis-NIRS. The technology is considered to be a rapid and non-destructive method for evaluating the quality of agricultural products. To ensure accuracy in the evaluation, Vis-NIRS was validated against conventional methods such as spectrophotometry and chromatography. The results showed that the use of Vis-NIRS helped to accurately determine the levels of TCC and quercetin in marigold flowers. Based on the analysis results, the best accuracy values for TCC were as follows: the correlation coefficient of the calibration set ( ) was 0.94, the root mean square error of the calibration set (RMSEC) was 125.57, the correlation coefficient of the prediction set ( ) was 0.87, the root mean square error of the prediction set (RMSEP) was 129.35, and the ratio of prediction to deviation (RPD) was 2.77. For quercetin, the best accuracy values were: was 0.96, RMSEC was 1.63, was 0.88, RMSEP was 2.37, and RPD was 2.09. These results demonstrate that the method provides a reliable alternative to destructive method. The research showed that Vis-NIRS served as a reliable quality assurance tool for assessing bioactive compounds in marigold flowers.
金盏花,也被称为L.,因其鲜艳的颜色和对健康的益处而广为人知。因此,本研究的目的是利用可见近红外光谱(Vis-NIRS)技术,研究金盏花,特别是可食用金盏花中总类胡萝卜素含量(TCC)和槲皮素的质量。使用Vis-NIRS对这些花朵中的两种生物活性化合物进行了评估。该技术被认为是一种评估农产品质量的快速且无损的方法。为确保评估的准确性,将Vis-NIRS与分光光度法和色谱法等传统方法进行了验证。结果表明,使用Vis-NIRS有助于准确测定金盏花中TCC和槲皮素的含量。根据分析结果,TCC的最佳准确度值如下:校正集的相关系数( )为0.94,校正集的均方根误差(RMSEC)为125.57,预测集的相关系数( )为0.87,预测集的均方根误差(RMSEP)为129.35,预测偏差比(RPD)为2.77。对于槲皮素,最佳准确度值为: 为0.96,RMSEC为1.63, 为0.88,RMSEP为2.37,RPD为2.09。这些结果表明,该方法为破坏性方法提供了可靠的替代方案。研究表明,Vis-NIRS是评估金盏花中生物活性化合物的可靠质量保证工具。