黄酮类化合物是天然抗氧化剂，已被证明能保护细胞膜免受氧化应激的伤害，并在光动力疗法癌症治疗中具有潜在用途。然而，它们在生理pH值下会发生降解，这在药物释放研究中往往被忽视。黄酮类化合物氧化动力学研究有助于理解降解机制，并正确分析黄酮类化合物释放数据。此外，将黄酮类化合物纳入磁性纳米载体中可用于减轻降解并克服其低溶解度，而释放过程则可通过磁场（MFs）控制。本文提出了一种结合交替最小二乘法（ALS）和多线性回归的方法，以考虑黄酮类自动氧化在释放研究中的影响。该方法可用于一般情况下考虑从纳米颗粒释放的不稳定药物的降解。以紫外-可见光谱法研究了儿茶素鼠李糖苷酮（MCE），雷公藤素（MCI）和鼠李糖（MCI）在PBS缓冲液（pH=7.4）中的氧化反应。使用ALS方法确定了动力学曲线和特征光谱，并利用这些数据分析了功能化磁性纳米颗粒（MNPs）释放的紫外-可见光谱数据。MNPs被选择用于其独特的磁性特性，可用于靶向药物传递和对药物释放进行控制。采用X射线衍射、红外光谱、扫描电子显微镜、超导量子干涉仪磁强计和电泳测量对MNPs进行了制备和表征。三种黄酮类化合物的自动氧化均遵循二步一阶动力学模型。MCE的降解速度最快，而MCI的氧化速度最慢。黄酮类化合物已成功载入制备的MNPs，并且药物释放可以由一阶和计fr进行描述。外部MFs被用于控制释放机制和释放的黄酮类化合物的累积质量。

Flavonoids are naturally occurring antioxidants that have been shown to protect cell membranes from oxidative stress and have a potential use in photodynamic cancer treatment. However, they degrade at physiological pH values, which is often neglected in drug release studies. Kinetic study of flavonoid oxidation can help to understand the mechanism of degradation and to correctly analyze flavonoid release data. Additionally, the incorporation of flavonoids into magnetic nanocarriers can be utilized to mitigate degradation and overcome their low solubility, while the release can be controlled using magnetic fields (MFs). An approach that combines alternating least squares (ALS) and multilinear regression to consider flavonoid autoxidation in release studies is presented. This approach can be used in general cases to account for the degradation of unstable drugs released from nanoparticles. The oxidation of quercetin, myricetin (MCE), and myricitrin (MCI) was studied in PBS buffer (pH = 7.4) using UV-vis spectrophotometry. ALS was used to determine the kinetic profiles and characteristic spectra, which were used to analyze UV-vis data of release from functionalized magnetic nanoparticles (MNPs). MNPs were selected for their unique magnetic properties, which can be exploited for both targeted drug delivery and control over the drug release. MNPs were prepared and characterized by X-ray diffraction, infrared spectroscopy, scanning electron microscopy, superconducting quantum interference device magnetometer, and electrophoretic mobility measurements. Autoxidation of all three flavonoids follows a two-step first-order kinetic model. MCE showed the fastest degradation, while the oxidation of MCI was the slowest. The flavonoids were successfully loaded into the prepared MNPs, and the drug release was described by the first-order and Korsmeyer-Peppas models. External MFs were utilized to control the release mechanism and the cumulative mass of the flavonoids released.