Rapid Characterization of Polymer Materials Using Arc Plasma-Based Dissociation-Mass Spectrometry

Computational investigation of 2, 4-Di Tert Butyl Phenol as alpha amylase inhibitor isolated from Coccinia grandis (L.) Voigt using molecular docking, and ADMET parameters

INTRODUCTION

Diabetes Mellitus is the metabolic disorder most prevalent globally, accounting for a substantial morbidity rate. The conventional drugs available for the management of diabetes are either expensive or lack the required efficacy. The purpose of this research is to isolate and characterize an active phytoconstituent from Coccinia grandis and assess its anti-diabetic properties.

METHODS AND MATERIALS

Stems of Coccinia grandis are subjected to successive extraction and isolation. The isolated compound by column chromatography was characterized by FTIR (fourier-transform infrared), 1 H NMR (proton nuclear magnetic resonance), and Mass spectroscopy. The antidiabetic potential of the isolated compound was evaluated by in-vitro alpha-amylase inhibitory activity. Further, the compound was subjected to molecular docking studies to study its interaction with the human pancreatic alpha-amylase (Molegro Virtual Docker) as well to determine the pharmacokinetic and toxicity profile using computational techniques (OSIRIS property explorer, Swiss ADME, pkCSM, and PreADMET).

RESULTS

The characterization of the compound suggests the structure to be 2,4-ditertiary butyl phenol. The in-vitro alpha-amylase inhibitory study indicated a concentration-dependent inhibition and the IC50 (median lethal dose) value of the isolated compound was found to be 64.36 μg/ml. The docking study with the A chain of receptor 5EMY yielded a favorable docking score of -81.48 Kcal mol-1, suggesting that the compound binds to the receptor with high affinity through electrostatic, hydrophobic, and hydrogen bonds. Furthermore, the silico ADME analysis of the compound revealed improved metabolism, a skin permeability of -3.87 cm/s, gastrointestinal absorption of 95.48 %, and a total clearance of 0.984 log ml min-1 kg-1. In silico toxicity analysis also predicted cutaneous irritations but no carcinogenicity, mutagenicity, or hepatotoxicity.

CONCLUSION

The data suggested that the isolated compound (2, 4-tertiary butyl phenol) has the potential to inhibit the alpha-amylase activity and possess optimal ADME properties as well as tolerable side effects.

Pulsed Direct Current Arc-Induced Nanoelectrospray Ionization Mass Spectrometry

This study explores the innovative field of pulsed direct current arc-induced nanoelectrospray ionization mass spectrometry (DCAI-nano-ESI-MS), which utilizes a low-temperature direct current (DC) arc to induce ESI during MS analyses. By employing a 15 kV output voltage, the DCAI-nano-ESI source effectively identifies various biological molecules, including angiotensin II, bradykinin, cytochrome C, and soybean lecithin, showcasing impressive analyte signals and facilitating multicharge MS in positive- and negative-ion modes. Notably, results show that the oxidation of fatty acids using a DC arc produces [M + O - H]- ions, which aid in identifying the location of C═C bonds in unsaturated fatty acids and distinguishing between isomers based on diagnostic ions observed during collision-induced dissociation tandem MS. This study presents an approach for identifying the sn-1 and sn-2 positions in phosphatidylcholine using phosphatidylcholine and nitrate adduct ions, accurately determining phosphatidylcholine molecular configurations via the Paternò-Büchi reaction. With all the advantages above, DCAI-nano-ESI holds significant promise for future analytical and bioanalytical applications.

Arc plasma for high-efficiency ionization and scavenging of plasticizers in wrap films

Herein, ambient electric arc ionization mass spectrometry was used to examine 16 plasticizers in various wrap films, demonstrating high sensitivity (detection limit: <0.2 ng/mg) and precision (intra-/inter-day precision: <12 %). The ease of operation helps in the identification of wrap film and plasticizer analysis. In addition, the introduction of a cold arc plasma treatment presents a practical and innovative method for effectively eliminating plasticizers. This innovative strategy has implications for both environmental protection and food safety.

Rapid Chemical Screening of Microplastics and Nanoplastics by Thermal Desorption and Pyrolysis Mass Spectrometry with Unsupervised Fuzzy Clustering

The transport and chemical identification of microplastics and nanoplastics (MNPs) are critical to the concerns over plastic accumulation in the environment. Chemically and physically transient MNP species present unique challenges for isolation and analysis due to many factors such as their size, color, surface properties, morphology, and potential for chemical change. These factors contribute to the eventual environmental and toxicological impact of MNPs. As analytical methods and instrumentation continue to be developed for this application, analytical test materials will play an important role. Here, a direct mass spectrometry screening method was developed to rapidly characterize manufactured and weathered MNPs, complementing lengthy pyrolysis-gas chromatography-mass spectrometry analysis. The chromatography-free measurements took advantage of Kendrick mass defect analysis, in-source collision-induced dissociation, and advancements in machine learning approaches for the data analysis of complex mass spectra. In this study, we applied Gaussian mixture models and fuzzy c-means clustering for the unsupervised analysis of MNP sample spectra, incorporating clustering stability and information criterion measurements to determine latent dimensionality. These models provided insight into the composition of mixed and weathered MNP samples. The multiparametric data acquisition and machine learning approach presented improved confidence in polymer identification and differentiation.

Three-Dimensional Mass Spectral Imaging of Polymers Via Laser-Assisted Micro-Pyrolysis Program with Flowing Atmospheric-Pressure Afterglow Ambient Mass Spectrometry

Herein, a novel diode laser-assisted micro-pyrolysis program (LAMP) technique is demonstrated and coupled with flowing atmospheric-pressure afterglow ambient mass spectrometry for instantaneously profiling polymers and polymer additives. Laser power modulation allows thermal separation of additives and different pyrolysis products, as shown through positive- and negative-mode high-resolution mass spectra and Kendrick mass defect plots of homopolymers, copolymers, polymer blends, and complex polymer samples. LAMP allows much faster temperature control through real-time duty cycle changes and gives significantly better spatial confinement compared to typical resistive heating pyrolysis approaches. Finally, MS imaging, with lateral and depth resolution, is demonstrated for a complex polymer pressure-sensitive adhesive tape sample.