Oliveira Marciano M, Cruz-Tirado J P, Barbin Douglas F
Dept. of Food Engineering, School of Food Engineering, Univ. of Campinas (Unicamp), Cidade Universitária Zeferino Vaz - Barão Geraldo, Campinas, SP, 13083-970, Brazil.
Compr Rev Food Sci Food Saf. 2019 May;18(3):670-689. doi: 10.1111/1541-4337.12436. Epub 2019 Mar 18.
Food fraud in herbs and spices is an important topic, which has led to new technologies being studied as potential tools for fraud identification. Nontargeted technologies have proven to be a useful tool for the authentication of herbs and spices. The present review focuses on the use of near-infrared, hyperspectral imaging, Fourier-transform infrared, Raman, nuclear magnetic resonance, and electron spin resonance spectroscopy for the authentication of spices, which includes the determination of origin and irradiated spices and the identification of adulterants. The methods developed based on vibrational spectroscopy combined with chemometric techniques seem to be promising tools for determining the presence of adulterants and contaminants in herbs and spices. On the other hand, nuclear magnetic resonance seems to be the most efficient technology to determine the origin of herbs and spices although, for some cases, studies with near-infrared spectroscopy can be a viable substitute. Electron spin resonance spectroscopy is the technique par excellence used for the authentication of irradiated herbs and spices, so its use should be expanded to many more spices' varieties. Portable devices are preferred by those involved in the food industry, due to its manageability and low cost. Data fusion and big data are shown as promising tools for spice fraud control. In conclusion, spectroscopic techniques show a great efficiency to authenticate spices, although their evaluation must be expanded to other spice varieties, to new strategies of data analysis (as data fusion and big data), and to the use of portable devices.
药草和香料中的食品欺诈是一个重要话题,这促使人们研究新技术作为欺诈识别的潜在工具。非靶向技术已被证明是用于药草和香料鉴别的有用工具。本综述重点关注近红外、高光谱成像、傅里叶变换红外、拉曼、核磁共振和电子自旋共振光谱在香料鉴别中的应用,包括产地测定、辐照香料的鉴别以及掺假物的识别。基于振动光谱结合化学计量技术开发的方法似乎是确定药草和香料中掺假物和污染物存在的有前景的工具。另一方面,核磁共振似乎是确定药草和香料产地最有效的技术,不过在某些情况下,近红外光谱研究也可以是一种可行的替代方法。电子自旋共振光谱是用于鉴别辐照药草和香料的卓越技术,因此其应用应扩展到更多的香料品种。便携式设备因其可管理性和低成本而受到食品行业相关人员的青睐。数据融合和大数据被视为控制香料欺诈的有前景的工具。总之,光谱技术在香料鉴别方面显示出很高的效率,尽管其评估必须扩展到其他香料品种、新的数据分析策略(如数据融合和大数据)以及便携式设备的使用。