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108. An Intelligent Traffic Light Control System Based on Density of Traffic

Author

Dangi, Kriti, Kushwaha, Manish Singh, Bakthula, Rajitha, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Mandal, Jyotsna Kumar, editor, and Bhattacharya, Debika, editor

Published
2020
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112. Analysis of lipids

Author

Rajput, Manish Singh, primary, Pandey, Kritika, additional, Jain, Anshika, additional, Gautam, Ashutosh Singh, additional, Singh, Sakshi, additional, Kumar, Sushil, additional, Pilli, Sridhar, additional, and Tyagi, Rajeshwar Dayal, additional

Published
2022
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118. Physicochemical study of opium industry effluent and toxicity prediction using in silico method.

Author

Verma, Gaurav, Dwivedi, Vinay, and Rajput, Manish Singh

Subjects
OPIUM trade, SEWAGE purification, CHEMICAL oxygen demand, BIOCHEMICAL oxygen demand, ALKALOIDS, BIOREMEDIATION
Abstract

Industrial effluent discharge is a major concern in developing countries like India. Opioids and alkaloids serve as raw materials for production of important pharmaceutical drugs like codeine, morphine, papaverine, thebaine, etc. Proper effluent discharge and waste management from opioids processing and similar industries is still a challenge. The present study focuses on collection, characterization and toxicity prediction of pollutants found in opioids processing industries in India. The wastewater was collected from Government Opium Alkaloid Works, Ghazipur, Uttar Pradesh, India. The collected effluent was subjected to physicochemical characterization, identification and quantification of different pollutants. Physicochemical tests revealed Chemical oxygen demand of 10015 mg/L, Biological oxygen demand 3870 mg/L, and Total dissolved solid (TDS) 1275 mg/L, with an pH of 9.47 having dark brown appearance accompanied by a pungent odour. Gas chromatography mass spectrometry followed by Fourier transform infrared spectroscopy was performed to identify the chemical composition of the effluent which revealed the presence of butanol, toluene, methyl isocyanide, 2-methylpentane, and benzeamine, N, N-dimethyl in major concentrations. Toluene is one of the hazardous pollutants found in up to 5.17% in the effluent. Prolonged exposure to toluene leads to disorders of muscles, cardiovascular effects, permanent neuropsychiatric effects, renal tubular damage, and sudden death. The toxicity of toluene was predicted by Toxicity estimation software tool. The software provided the LD50 value for oral rat as 1.77 -log10 mol/kg and for human 0.28 -log10 mol/kg. The authors propose to develop a methodology to bioremediate toluene from wastewater to prevent harmful effects on aquatic and higher living organisms. [ABSTRACT FROM AUTHOR]

Published
2024
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136. Phenotypic and molecular characterization of clinically isolated antibiotics-resistant S. aureus(MRSA), E. coli(ESBL) and Acinetobacter1379 bacterial strains

Author

Iram, Daraksha, Sansi, Manish Singh, Puniya, Anil Kumar, Gandhi, Kamal, Meena, Sunita, and Vij, Shilpa

Abstract

Antibiotic-resistant bacteria causing nosocomial infections pose a significant global health concern. This study focused on examining the lipid profiles of both non-resistant and clinically resistant strains of Staphylococcus aureus(MRSA 1418), E. coli(ESBL 1384), and Acinetobacter1379. The main aim was to investigate the relationship between lipid profiles, hydrophobicity, and antibiotic resistance so as to identify the pathogenic potential and resistance factors of strains isolated from patients with sepsis and urinary tract infections (UTIs). The research included various tests, such as antimicrobial susceptibility assays following CLSI guidelines, biochemical tests, biofilm assays, and hydrophobicity assays. Additionally, gas chromatography mass spectrometry (GC–MS) and GC-Flame Ionization Detector (GC-FID) analysis were used for lipid profiling and composition. The clinically isolated resistant strains (MRSA-1418, ESBL-1384, and Acinetobacter 1379) demonstrated resistance phenotypes of 81.80%, 27.6%, and 63.6%, respectively, with a multiple antibiotic resistance index of 0.81, 0.27, and 0.63. Notably, the MRSA-1418 strain, which exhibited resistance, showed significantly higher levels of hemolysin, cell surface hydrophobicity, biofilm index, and a self-aggregative phenotype compared to the non-resistant strains. Gene expression analysis using quantitative real-time PCR (qPCR). Indicated elevated expression levels of intercellular adhesion biofilm-related genes (icaA, icaC, and icaD) in MRSA-1418 (pgaA, pgaC, and pgaB) and Acinetobacter1379 after 24 h compared to non-resistant strains. Scanning electron microscopy (SEM) was employed for structural investigation. These findings provide valuable insights into the role of biofilms in antibiotic resistance and suggest potential target pathways for combating antibiotic-resistant bacteria.

Published
2024
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