Edible oils play an essential role in our routine life as cooking or frying oil as well as an ingredient used in food, medicine, and cosmetic commodities. Because of the high consumption demands of edible oils, adulteration incidents have immensely raised. Thus, adulteration detection is very crucial for consumers, oil-producing industries, and regulatory authorities. The traditional analytical methods are usually time-taking, tedious, detrimental, lacking online monitoring, and need extensive sample preparation. Whereas, the modern oil industry needs a competent and non-calamitous analytical approach for the rapid and precise quality control of edible oils. Fourier transform infrared (FTIR) spectroscopy is an excellent technique for the detection of edible oil adulteration. It utilizes the fingerprint region of the obtained spectra to differentiate and detect the different adulterants present in the edible oil. The spectra collected by the FTIR spectroscopy are complex and very much similar for different edible oils. To solve this complication, the multivariate branch of chemometrics coupled with FTIR spectral data has been employed to precisely distinguish between different edible oil adulterants. In chemometrics, different regression models, along with its various robust validation parameters, can detect even minute adulteration in edible oil with high precision and accuracy. This concise review presents the critical aspects of major findings and brings together recent studies of the application of FTIR spectroscopy integrated with chemometric tools from several reliable sources.

食用油在我们的日常生活中起着至关重要的作用，如食用油或煎炸油以及用于食品，药品和化妆品中的成分。由于食用油的高消费需求，掺假事件大大增加了。因此，掺假检测对于消费者，石油生产行业和监管机构至关重要。传统的分析方法通常耗时，繁琐，有害，缺乏在线监控，并且需要大量的样品前处理。鉴于现代石油工业需要一种能胜任且非钙质的分析方法来快速，精确地控制食用油的质量。傅里叶变换红外（FTIR）光谱是检测食用油掺假的一项出色技术。它利用获得的光谱的指纹区域来区分和检测食用油中存在的不同掺杂物。FTIR光谱仪收集的光谱是复杂的，并且对于不同的食用油非常相似。为了解决这种复杂性，化学计量学的多元分支与FTIR光谱数据相结合已被用来精确地区分不同的食用油掺杂物。在化学计量学中，不同的回归模型及其各种可靠的验证参数可以高精度，准确地检测出食用油中的甚至掺假。这篇简明的综述介绍了主要发现的关键方面，并结合了来自几个可靠来源的，结合了化学计量学工具的FTIR光谱学应用的最新研究。