Uncertainty and associated risks in the analysis of pesticides in homogeneous paprika samples

In this study, risk estimation based on sampling and subsampling uncertainty was performed for pesticide analysis in homogeneous spice products such as paprika. The results of the subsampling were also used to estimate the minimum weight necessary in subsampling to minimize overall uncertainty. The results show that subsampling has more uncertainty than sampling in the product due to high homogeneity in the manufacturer's batch. On the other hand, results using the Monte Carlo (MC) simulation on the size of the subsample indicate that uncertainty is lower for weights between 20 and 30 g and increases for sample sizes of 100 g. A sample size of 30 g was used for saffron, and the values simulated with the MC method were confirmed.

Trends in dithiocarbamates food research: A bibliometric vision

Dithiocarbamate Fungicides (DTFs) are widely analyzed and studied mainly due to the fact that they play an important role in the cultivation of fruits and vegetables. This manuscript aims to display the results of a bibliometric analysis based on the Web of Science© database, performed in the DTF and food research area. A total of 374 publications were examined. The most scientific production was concentrated between 2012 and 2021, showing a decrease of 32% over the last two years. The Journal of Agricultural and Food Chemistry, India, and Sardar Vallabhbhai National Institute of Technology were the most productive journal, country, and institution, respectively. Reference Publication Year Spectroscopy index showed a decrease of 95% in the last last years studied. Finally, current and future trends should focus on keywords such as individual DTF (Mancozeb, Thiram and Maneb), metabolites (Ethylenethiourea, Propilenthiourea) and a change in the analysis methodology: HPLC versus traditional GC.