Belinato Joao Raul, Costa Carina Pedrosa, Almeida Adelaide, Rocha Silvia M, Augusto Fabio
Institute of Chemistry, University of Campinas and National Institute of Science and Technology in Bioanalysis (INCTBio), Campinas 13083-970, Brazil.
Department of Chemistry & LAQV-REQUIMTE, University of Aveiro, 3810-193 Aveiro, Portugal.
Foods. 2021 Nov 19;10(11):2870. doi: 10.3390/foods10112870.
The exometabolome was recently investigated using advanced gas chromatography in tandem with multivariate analysis, which allowed a metabolite biomarker pattern to be proposed. Microbial metabolomics patterns have gained enormous relevance, mainly due to the amount of information made available, which may be useful in countless processes. One of the great challenges in microbial metabolomics is related to applications in more complex systems of metabolomics information obtained from studies carried out in culture media, as complications may occur due to the dynamic nature of biological systems. Thus, the main objective of this research was to evaluate the applicability of the metabololite biomarkers pattern for in situ and early evaluation of table grapes contamination, used as study model. is a ubiquitous fungus responsible for food contamination, being reported as one of the main agents of the black mold disease, a serious post-harvest pathology of table grapes. This work included analysis from 1 day of growth time of pure cultures, cultures obtained from previously contaminated grapes, and finally, an in situ solid-phase microextraction (SPME) approach directly on previously contaminated table grapes. Supervised multivariate analysis was performed which revealed that after 1 day of inoculation it was possible to detect biomarkers, which can be extremely useful in making this type of method possible for the rapid detection of food contamination. The results obtained confirm the potential applicability of the pattern of biomarkers for early detection of the fungi (after 1 day of contamination), and may be further explored for access food susceptibility to fungi contamination, based on direct analysis of the food item.
最近，利用先进的气相色谱联用多元分析技术对胞外代谢组进行了研究，从而提出了一种代谢物生物标志物模式。微生物代谢组学模式具有极大的相关性，主要是因为其提供的信息量很大，这在无数过程中可能都很有用。微生物代谢组学的一大挑战与在更复杂系统中应用从培养基研究中获得的代谢组学信息有关，因为生物系统的动态性质可能会引发并发症。因此，本研究的主要目的是评估代谢物生物标志物模式在用作研究模型的鲜食葡萄污染原位和早期评估中的适用性。是一种普遍存在的真菌，可导致食物污染，被报道为黑霉病的主要病原体之一，这是鲜食葡萄严重的采后病害。这项工作包括对纯培养物生长1天的分析、从先前受污染的葡萄中获得的培养物，最后是直接对先前受污染的鲜食葡萄采用原位固相微萃取（SPME）方法。进行了有监督的多元分析，结果表明接种1天后可以检测到生物标志物，这对于使这种类型的方法能够快速检测食物污染非常有用。获得的结果证实了生物标志物模式在早期检测真菌（污染1天后）方面的潜在适用性，并且基于对食品的直接分析，可能会进一步探索其用于了解食品对真菌污染的敏感性。
