Publications by authors named "N Mahata"

Escherichia coli (E. coli), a gram-negative bacterium, quickly colonizes in the human gastrointestinal tract after birth and typically sustains a long-term, symbiotic relationship with the host. However, certain virulent strains of E.

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  • Food safety concerns necessitate precise and efficient analytical techniques to ensure quality, moving away from traditional, costly methods.
  • Various methods, including spectroscopy, chromatography, DNA barcoding, and IRMS, are employed to detect food fraud, with NI spectroscopy and hyperspectral imaging being particularly favored for their speed, cost-effectiveness, and ability to analyze different food types without causing damage.
  • The advancement in chemometric techniques and the integration of multivariate analysis, such as AI and principal component analysis, enhance the detection of food fraud, making these technologies increasingly relevant in the food industry.
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Due to its complex and, often, highly contaminated nature, treating industrial wastewater poses a significant environmental problem. Many of the persistent pollutants found in industrial effluents cannot be effectively removed by conventional treatment procedures. Advanced Oxidation Processes (AOPs) have emerged as a promising solution, offering versatile and effective means of pollutant removal and mineralization.

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In recent years, production of cellulose nanofiber (CNF) from waste materials has achieved great interest owing to their renewable nature, biodegradability, high mechanical properties, economic value, and low density. Because Polyvinyl alcohol (PVA) is a synthetic biopolymer with good water solubility and biocompatibility, the composite material formed of CNF and PVA, is a sustainable way of monetizing to address environmental and economic issues. In this work pure PVA, PVA/CNF0.

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  • Prodigiosin (PG) is an apoptotic agent with a complex chemical structure, and finding its protein targets is essential for new drug discovery.
  • A bioinformatics method was employed to identify additional potential PG targets, starting with a text mining analysis and involving docking studies of 116 proteins from the KEGG pathway.
  • The study identified 12 proteins with favorable interactions with PG, including HER-2, MEK, and S6K, using techniques like CDOCKER interaction energy and validated docking approaches showcasing promising results.
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