Departamento de Control Químico, Facultad de Ciencias Químicas y Farmacia, Universidad Nacional Autónoma de Honduras, Ciudad Universitaria, Tegucigalpa, Honduras.
Departamento de Control Químico, Facultad de Ciencias Químicas y Farmacia, Universidad Nacional Autónoma de Honduras, Ciudad Universitaria, Tegucigalpa, Honduras.
Ann Pharm Fr. 2024 Jan;82(1):96-109. doi: 10.1016/j.pharma.2023.08.007. Epub 2023 Aug 23.
A simple, highly specific, accurate and fast method by smartphone-based digital imaging was developed for estimating lidocaine hydrochloride in pharmaceutical formulations.
To obtain the images, a Galaxy A03 Core smartphone and an image acquisition device developed in the laboratory were used to control the incident factors in reproducibility of the measurements. The processing of the images was carried out with the Color Grab application. Finally, the absorbance values were calculated using the RGB intensity values of blank, standard, and sample solutions. The proposed method was compared with spectroscopic and chromatographic methods.
The reaction between copper and lidocaine hydrochloride was characterized, showing better results in an equimolar ratio and maintaining the pH of the solution above 11.5. The use of the device for the capture of digital images allowed to control those sensitive parameters for reproducibility so that the analytical measurements showed adequate precision and accuracy. Validation of the main parameters of the method showed compliance with acceptance criteria. The application of the method for the analysis of injectable samples achieved reliable results, which were statistically similar to other reference instrumental methods.
The proposed method presented figures of merit in relation to linearity, precision, selectivity, accuracy, and robustness; it was carried out by designing and manufacturing a device for capturing digital images on a smartphone, which were analyzed to obtain RGB intensity values. These data are finally used to calculate absorbance values of solutions. All these elements provide this work with innovative characteristics in the field of analysis for control of pharmaceutical formulations.
开发了一种基于智能手机数字成像的简单、高度特异、准确和快速的方法，用于估算药物制剂中的盐酸利多卡因。
为了获取图像，使用 Galaxy A03 Core 智能手机和实验室开发的图像采集设备来控制测量重现性的入射因素。使用 Color Grab 应用程序对图像进行处理。最后，使用空白、标准和样品溶液的 RGB 强度值计算吸光度值。将所提出的方法与光谱和色谱方法进行了比较。
对铜与盐酸利多卡因的反应进行了表征，在等摩尔比下显示出更好的结果，并保持溶液的 pH 值高于 11.5。该设备用于数字图像的捕获，允许控制那些对重现性敏感的参数，从而使分析测量具有足够的精密度和准确性。方法主要参数的验证符合验收标准。该方法应用于注射样品的分析，获得了可靠的结果，与其他参考仪器方法的结果在统计学上相似。
所提出的方法在线性度、精密度、选择性、准确度和稳健性方面表现出了优异的性能；它是通过设计和制造用于在智能手机上捕获数字图像的设备来进行的，然后对这些图像进行分析以获得 RGB 强度值。这些数据最终用于计算溶液的吸光度值。所有这些元素都为分析领域的工作提供了创新性的特点，可用于控制药物制剂。
