Qin Xiao-Ya, Feng Rui, Zhou Heng, Pan Hui-Qin, Wang Hao, Huang Xiao-Jing, Shen Jian-Ying, Hu Qing, Ji Shen
School of Pharmacy, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Shanghai 201203, China.
NMPA Key Laboratory for Quality Control of Traditional Chinese Medicine, Shanghai Institute for Food and Drug Control, 1500 Zhangheng Road, Shanghai 201203, China.
Molecules. 2024 Dec 10;29(24):5827. doi: 10.3390/molecules29245827.
In this study, we developed a colloidal gold immunochromatographic strip (CGIS) method that used the matrix-matched calibration curves of contamination ratio models to quantitatively determine the total aflatoxin in five herbal medicines. This approach addresses issues related to false results and poor accuracy associated with conventional methods. The CGIS was analyzed using a Vertu touch reader, and the matrix-matched calibration was established based on the absorbance ratios of the T and C lines, as well as the logarithmic values of the total aflatoxin concentrations. The total aflatoxins could be accurately and digitally detected from 2.5 to 40 μg/kg, and the LOD of total aflatoxins was 1 μg/kg in the five herbal medicines. The recovery rates from the spiked samples ranged from 65.1% to 98.6%, and the RSD was less than 16.9%. A total of 229 samples were analyzed by both CGIS and HPLC-FLD, with agreement ranging from 78.4% to 132.6% (), 82.6% to 133.0% (), 79.9% to 117.9% (), 78.1% to 119.0% (), and 76.1% to 123.0% (). This process for the discrimination of the CGIS results was established to assess if samples met the requirement of aflatoxin limits, which could save approximately 75% in time and reduce the workload of retesting by a designated confirmatory reference method to less than 10%. This study demonstrated that the application of matrix-matched calibration curves based on contamination ratio models to CGIS can effectively enhance the rapid quantitative determination capability of total aflatoxins in herbal medicine matrices.
在本研究中,我们开发了一种胶体金免疫层析试纸条(CGIS)方法,该方法使用污染率模型的基质匹配校准曲线来定量测定五种草药中的总黄曲霉毒素。这种方法解决了与传统方法相关的结果虚假和准确性差的问题。使用Vertu触摸读取器对CGIS进行分析,并基于T线和C线的吸光度比以及总黄曲霉毒素浓度的对数值建立基质匹配校准。在五种草药中,总黄曲霉毒素可在2.5至40μg/kg范围内进行准确的数字检测,总黄曲霉毒素的检测限为1μg/kg。加标样品的回收率在65.1%至98.6%之间,相对标准偏差小于16.9%。共对229个样品进行了CGIS和HPLC-FLD分析,一致性范围为78.4%至132.6%()、82.6%至133.0%()、79.9%至117.9%()、78.1%至119.0%()和76.1%至123.0%()。建立了这种CGIS结果判别流程,以评估样品是否符合黄曲霉毒素限量要求,这可以节省约75%的时间,并将指定确证参考方法的复检工作量减少至不到10%。本研究表明,基于污染率模型的基质匹配校准曲线应用于CGIS可有效提高草药基质中总黄曲霉毒素的快速定量测定能力。