Determination of phthalate esters in breast milk before and after frozen storage in milk storage bags

Methodology for Determining Phthalate Residues by Ultrasound–Vortex-Assisted Dispersive Liquid–Liquid Microextraction and GC-IT/MS in Hot Drink Samples by Vending Machines

In this study, a simple, fast, and effective methodology has been developed for the detection and quantification of seven phthalates potentially released in hot drinks from disposable containers used in vending machines. The authors determined the optimal conditions to be applied during the various steps of extraction of seven phthalates (DMP, DEP, DBP, DiBP, DEHP, DNOP, and DDP) from hot beverages using a model solution. The extraction and preconcentration technique used was ultrasound–vortex-assisted dispersive liquid–liquid microextraction (UVA-DLLME) followed by gas chromatographic analysis obtaining recoveries from 66.7% to 101.2% with precision and reproducibility <6.3% and <11.1%, respectively. The influence of waiting time, from the dispensing of the drink to its actual consumption, for the extraction of molecules was investigated, obtaining a temporal release profile slightly shifted towards the PAEs with higher molecular weight and vice versa for those with low molecular weight. In addition, the best instrumental parameters to be applied during the analysis of the extracts obtained were established. This optimization was carried out using GC-FID, whereas the analysis of real samples was carried out by means of GC-IT/MS for ultra-trace analysis purposes; limits of detection (LODs) ranging between 0.8 ng mL−1 and 15.4 ng mL−1 and limits of quantification (LOQs) from 1.6 ng mL−1 to 35.8 ng mL−1, both of them lower than those found by FID, were obtained.

Pharmacophore based in silico study with laboratory verification-environmental explanation of prostate cancer recurrence

The prediction of harmful effects can guide research on the health hazards of environmental pollutants. The development of a computer-aided drug design in pharmacological technology and omics database remarkably facilitates the prediction of the possible harmful effects of hazardous substances. In this study, the pharmacophore target database based on molecular structure served as a bridge between pollutants and genes and combined with the omics database and molecular pathway enrichment technology to predict the potential prostatic cancer-promoting effect of dibutyl phthalate. Cell experiments and gene expression were carried out to verify the previous prediction, and the characteristics of harmful effects were further explored. Low concentrations of dibutyl phthalate may have androgen-independent prostate cancer-promoting effects, which may put patients receiving androgen deprivation therapy in danger. This study suggests the potential negative effects of phthalates on prostate cancer and a method for predicting harmful effects on the basis of pharmacology technology.