Wu Linlin, Chen Meixu, Huo Xinyi, Xu Qilin, Yin Xianggang, Zhao Xiao Han, Zhou Yifeng, Huang Jun
School of Biological and Chemical Engineering, Zhejiang University of Science and Technology, Hangzhou, China.
Phytochem Anal. 2025 Jan;36(1):326-338. doi: 10.1002/pca.3445. Epub 2024 Sep 11.
Aflatoxins, potent carcinogens produced by Aspergillus species, present significant health risks and commonly contaminate herbal products such as Chrysanthemum morifolium. Detecting these toxins in C. morifolium proves challenging due to the complex nature of the herbal matrix and the fluctuating levels of toxins found in different samples.
This study aimed to develop and optimize a novel method for the detection of aflatoxins in C. morifolium using dispersive liquid-liquid microextraction combined with high-performance liquid chromatography-fluorescence detection based on quality by design principles.
The method involved determining critical method attributes and parameters through the Plackett-Burman design, followed by optimization using the Box-Behnken design. Monte Carlo simulation was employed to establish a design space, which was experimentally verified. Method validation was performed to confirm accuracy, precision, and stability.
The developed method exhibited excellent linearity (R > 0.9991) for aflatoxins B, B, G, and G across a range of concentrations, with recovery rates between 85.52% and 102.01%. The validated method effectively quantified aflatoxins in C. morifolium under different storage conditions, highlighting the impact of temperature and storage time on aflatoxin production.
This study successfully established a reliable and effective method for the detection of aflatoxins in C. morifolium, highlighting the importance of strict storage conditions to reduce aflatoxin contamination. Using a quality by design framework, the method demonstrated robustness and high analytical performance, making it suitable for routine quality control of herbal products.
黄曲霉毒素是由曲霉菌种产生的强效致癌物,存在重大健康风险,且常污染诸如杭白菊等草药产品。由于草药基质的复杂性以及不同样品中黄曲霉毒素含量的波动,在杭白菊中检测这些毒素颇具挑战性。
本研究旨在基于质量源于设计原则,开发并优化一种采用分散液液微萃取结合高效液相色谱 - 荧光检测法检测杭白菊中黄曲霉毒素的新方法。
该方法通过Plackett - Burman设计确定关键方法属性和参数,随后使用Box - Behnken设计进行优化。采用蒙特卡洛模拟建立设计空间,并通过实验验证。进行方法验证以确认准确性、精密度和稳定性。
所开发的方法在一系列浓度范围内对黄曲霉毒素B₁、B₂、G₁和G₂表现出优异的线性(R>0.9991),回收率在85.52%至102.01%之间。经过验证的方法能够有效定量不同储存条件下杭白菊中的黄曲霉毒素,突出了温度和储存时间对黄曲霉毒素产生的影响。
本研究成功建立了一种可靠且有效的杭白菊中黄曲霉毒素检测方法,强调了严格储存条件对减少黄曲霉毒素污染的重要性。该方法采用质量源于设计框架,展现出稳健性和高分析性能,适用于草药产品的常规质量控制。