Salotti Irene, Giorni Paola, Dall'Asta Chiara, Battilani Paola
Department of Sustainable Crop Production (DI.PRO.VE.S.), Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy.
Department of Food and Drug, University of Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy.
Toxins (Basel). 2025 Jul 23;17(8):361. doi: 10.3390/toxins17080361.
Concerns about mycotoxin contamination by spp. in tomato-based products emphasize the need for understanding the effect of the environment on their production. In the current study, we focused on three species frequently associated with tomato (, , and ) by evaluating the effects of different temperatures (5 to 40 °C) and substrata (PDA and V8) on mycelial growth and the production of mycotoxins (alternariol, alternariol monomethyl ether, and tenuazonic acid). Both biological processes were supported between 5 and 35 °C, with optimal temperatures between 20 and 30 °C, depending on the species. Temperature and its interaction with species significantly ( < 0.05) affected both processes. However, the species factor alone was not significant ( > 0.05), indicating that environmental conditions affect spp. growth and mycotoxin production more than the species itself does. Mathematical equations were developed to describe the effect of temperature on mycelial growth, as well as on the production of AOH, AME, and TeA, for each species. High concordance (CCC ≥ 0.807) between observed and predicted data and low levels of residual error (RMSE ≤ 0.147) indicated the high goodness of fit of the developed equations, which may be used for the development of models to predict contamination both in field and during post-harvest storage.
对番茄制品中 spp. 产生的霉菌毒素污染的担忧凸显了了解环境对其产生影响的必要性。在当前研究中，我们通过评估不同温度（5至40°C）和培养基（PDA和V8）对菌丝生长以及霉菌毒素（交链孢酚、交链孢酚单甲醚和细交链孢菌酮酸）产生的影响，重点研究了三种经常与番茄相关的物种（、和）。这两个生物学过程在5至35°C之间均能进行，最佳温度在20至30°C之间，具体取决于物种。温度及其与物种的相互作用对这两个过程均有显著影响（<0.05）。然而，仅物种因素并不显著（>0.05），这表明环境条件对 spp. 生长和霉菌毒素产生的影响大于物种本身。针对每个物种，我们建立了数学方程来描述温度对菌丝生长以及AOH、AME和TeA产生的影响。观测数据与预测数据之间的高度一致性（CCC≥0.807）以及较低的残差误差水平（RMSE≤0.147）表明所建立方程的拟合优度很高，这些方程可用于开发模型，以预测田间和收获后储存期间的污染情况。
