Department of Chemistry, Dayalbagh Educational Institute, Dayalbagh, Agra-, 282110 India.
J Food Sci Technol. 2013 Dec;50(6):1222-7. doi: 10.1007/s13197-013-1036-5. Epub 2013 May 29.
Adulteration in food stuff has been regarded as a major social evil and is a mind-boggling problem in society. In this study, a rapid, reliable and cost effective High Performance thin layer Chromatography (HPTLC) has been established for the estimation of oxytocin (adulterant) in vegetables, fruits and milk samples. Oxytocin is one of the most frequently used adulterant added in vegetables and fruits for increasing the growth rate and also to enhance milk production from lactating animals. The standardization of the method was based on simulation parameters of mobile phase, stationary phase and saturation time. The mobile phase used was MeOH: Ammonia (pH 6.8), optimized stationary phase was silica gel and saturation time of 5 min. The method was validated by testing its linearity, accuracy, precision, repeatability and limits of detection and quantification. Thus, the proposed method is simple, rapid and specific and was successfully employed for quality and quantity monitoring of oxytocin content in edible products.
食品掺假一直被视为一种严重的社会弊病,是社会上令人头疼的问题。在这项研究中,建立了一种快速、可靠且经济高效的高效薄层色谱法(HPTLC),用于估计蔬菜、水果和牛奶样品中的催产素(掺杂物)。催产素是最常被添加到蔬菜和水果中的掺杂物之一,用于提高生长速度,并增强哺乳期动物的产奶量。该方法的标准化基于流动相、固定相和饱和时间的模拟参数。使用的流动相为 MeOH:Ammonia(pH 6.8),优化的固定相为硅胶,饱和时间为 5 分钟。该方法通过测试其线性度、准确性、精密度、重复性和检测限及定量限进行了验证。因此,该方法简单、快速且具有特异性,并成功用于监测食用产品中催产素含量的质量和数量。