Andjelković Uroš, Šrajer Gajdošik Martina, Gašo-Sokač Dajana, Martinović Tamara, Josić Djuro
Department of Biotechnology, University of Rijeka, Radmile Matejčić 2, HR-51000 Rijeka, Croatia.
Department of Chemistry, Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Njegoševa 12, RS-11000 Belgrade, Serbia.
Food Technol Biotechnol. 2017 Sep;55(3):290-307. doi: 10.17113/ftb.55.03.17.5044.
The power of foodomics as a discipline that is now broadly used for quality assurance of food products and adulteration identification, as well as for determining the safety of food, is presented. Concerning sample preparation and application, maintenance of highly sophisticated instruments for both high-performance and high-throughput techniques, and analysis and data interpretation, special attention has to be paid to the development of skilled analysts. The obtained data shall be integrated under a strong bioinformatics environment. Modern mass spectrometry is an extremely powerful analytical tool since it can provide direct qualitative and quantitative information about a molecule of interest from only a minute amount of sample. Quality of this information is influenced by the sample preparation procedure, the type of mass spectrometer used and the analyst's skills. Technical advances are bringing new instruments of increased sensitivity, resolution and speed to the market. Other methods presented here give additional information and can be used as complementary tools to mass spectrometry or for validation of obtained results. Genomics and transcriptomics, as well as affinity-based methods, still have a broad use in food analysis. Serious drawbacks of some of them, especially the affinity-based methods, are the cross-reactivity between similar molecules and the influence of complex food matrices. However, these techniques can be used for pre-screening in order to reduce the large number of samples. Great progress has been made in the application of bioinformatics in foodomics. These developments enabled processing of large amounts of generated data for both identification and quantification, and for corresponding modeling.
本文介绍了食品组学作为一门学科的影响力,该学科目前广泛应用于食品质量保证、掺假鉴定以及食品安全性测定。在样品制备与应用、高性能和高通量技术的高端精密仪器维护以及分析与数据解读方面,必须特别关注专业分析人员的培养。所获得的数据应在强大的生物信息学环境下进行整合。现代质谱分析法是一种极为强大的分析工具,因为它仅需极少量的样品就能提供有关目标分子的直接定性和定量信息。这些信息的质量受样品制备程序、所用质谱仪类型以及分析人员技能的影响。技术进步正将灵敏度更高、分辨率更高且速度更快的新型仪器推向市场。本文介绍的其他方法能提供额外信息,可作为质谱分析法的补充工具或用于验证所得结果。基因组学和转录组学以及基于亲和性的方法在食品分析中仍有广泛应用。其中一些方法,尤其是基于亲和性的方法,存在严重缺陷,即相似分子之间的交叉反应以及复杂食品基质的影响。然而,这些技术可用于预筛选,以减少大量样品。生物信息学在食品组学中的应用已取得重大进展。这些进展使得能够处理大量生成的数据,用于鉴定、定量以及相应的建模。