Spectroscopic Analysis of the Binding of Paraquat and Diquat Herbicides to Biosubstrates.
Francesca MaciiRebecca DettiFrancesca Rita BloiseStefania GiannarelliTarita BiverPublished in: International journal of environmental research and public health (2021)
The study of the interaction of persistent organic pollutants with biosubstrates helps to unravel the pathways for toxicity, however, few mechanistic data are present in the literature for these systems. We analyzed the binding of paraquat (PQ) and diquat (DQ) herbicides to natural calf thymus DNA and a DNA G-quadruplex by spectrophotometric titrations, ethidium bromide exchange tests, viscometry, and melting experiments. The interaction with bovine serum albumin (BSA) protein was studied spectrofluorimetrically at different temperatures. The retention of the targets on positive, negative, and neutral micellar aggregates and liposomes was analyzed by ultrafiltration experiments. Despite some favorable features, PQ and DQ only externally bind natural DNA and do not interact with DNA oligonucleotides. Both herbicides bind bovine serum albumin (BSA). PQ binds BSA mainly according to an electrostatics-driven process. However, ultrafiltration data also show that some hydrophobic contribution participates in the features of these systems. The practical problems related to unfavorable spectroscopic signals and inner filter effects are also discussed. Overall, both herbicides show a low affinity for nucleic acids and weak penetration into liposomes; in addition, the equilibrium constants values found for BSA system suggest optimal conditions for transport in the body.
Keyphrases
- circulating tumor
- cell free
- single molecule
- drug delivery
- molecular docking
- nucleic acid
- electronic health record
- big data
- systematic review
- mental health
- oxidative stress
- drug release
- molecular dynamics simulations
- molecular dynamics
- dna binding
- simultaneous determination
- mass spectrometry
- circulating tumor cells
- transcription factor
- data analysis
- ionic liquid
- artificial intelligence
- small molecule
- deep learning
- drug induced
- solid state