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Bwatanglang IB, Mohammad F, Janet JN, Dahan WM, Al-Lohedan HA, Soleiman AA. Biosorption of Escherichia coli Using ZnO-Trimethyl Chitosan Nanocomposite Hydrogel Formed by the Green Synthesis Route. Gels 2023; 9:581. [PMID: 37504460 PMCID: PMC10378975 DOI: 10.3390/gels9070581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/06/2023] [Accepted: 07/12/2023] [Indexed: 07/29/2023] Open
Abstract
In this study, we tested the biosorption capacity of trimethyl chitosan (TMC)-ZnO nanocomposite (NC) for the adsorptive removal of Escherichia coli (E. coli) in aqueous suspension. For the formation of ZnO NPs, we followed the green synthesis route involving Terminalia mantaly (TM) aqueous leaf extract as a reducing agent, and the formed ZnO particles were surface-coated with TMC biopolymer. On testing of the physicochemical characteristics, the TM@ZnO/TMC (NC) hydrogel showed a random spherical morphology with an average size of 31.8 ± 2.6 nm and a crystal size of 28.0 ± 7.7 nm. The zeta potential of the composite was measured to be 23.5 mV with a BET surface area of 3.01 m2 g-1. The spectral profiles of TM@ZnO/TMC NC hydrogel on interaction with Escherichia coli (E. coli) revealed some conformational changes to the functional groups assigned to the stretching vibrations of N-H, C-O-C, C-O ring, and C=O bonds. The adsorption kinetics of TM@ZnO/TMC NC hydrogel revealed the pseudo-second-order as the best fit mechanism for the E. coli biosorption. The surface homogeneity and monolayer adsorption of the TM@ZnO/TMC NC hydrogel reflects majorly the entire adsorption mechanism, observed to display the highest correlation for Jovanovic, Redlich-Peterson, and Langmuir's isotherm models. Further, with the use of TM@ZnO/TMC NC hydrogel, we measured the highest adsorption capacity of E. coli to be 4.90 × 10 mg g-1, where an in-depth mechanistic pathway was proposed by making use of the FTIR analysis.
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Affiliation(s)
| | - Faruq Mohammad
- Department of Chemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - John Nahadi Janet
- Department of Pure and Applied Chemistry, Adamawa State University, Mubi 650001, Nigeria
| | - Wasmia Mohammed Dahan
- Department of Pure and Applied Chemistry, Adamawa State University, Mubi 650001, Nigeria
| | - Hamad A Al-Lohedan
- Department of Chemistry, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Ahmed A Soleiman
- College of Sciences and Engineering, Southern University, Baton Rouge, LA 70813, USA
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Limayem A, Mehta M, Kondos N, Kaushal D, Azam FB, Chellappan S, Qin N, Zhou Q. Evaluation of bactericidal effects of silver hydrosol nanotherapeutics against Enterococcus faecium 1449 drug resistant biofilms. Front Cell Infect Microbiol 2023; 12:1095156. [PMID: 36710982 PMCID: PMC9875038 DOI: 10.3389/fcimb.2022.1095156] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 12/20/2022] [Indexed: 01/13/2023] Open
Abstract
Introduction Silver (Ag) nanoparticles (NPs) are well documented for their broad-spectrum bactericidal effects. This study aimed to test the effect of bioactive Ag-hydrosol NPs on drug-resistant E. faecium 1449 strain and explore the use of artificial intelligence (AI) for automated detection of the bacteria. Methods The formation of E. faecium 1449 biofilms in the absence and presence of Ag-hydrosol NPs at different concentrations ranging from 12.4 mg/L to 123 mg/L was evaluated using a 3-dimentional culture system. The biofilm reduction was evaluated using the confocal microscopy in addition to the Transmission Electronic Microscopy (TEM) visualization and spectrofluorimetric quantification using a Biotek Synergy Neo2 microplate reader. The cytotoxicity of the NPs was evaluated in human nasal epithelial cells using the MTT assay. The AI technique based on Fast Regional Convolutional Neural Network architecture was used for the automated detection of the bacteria. Results Treatment with Ag-hydrosol NPs at concentrations ranging from 12.4 mg/L to 123 mg/L resulted in 78.09% to 95.20% of biofilm reduction. No statistically significant difference in biofilm reduction was found among different batches of Ag-hydrosol NPs. Quantitative concentration-response relationship analysis indicated that Ag-hydrosol NPs exhibited a relative high anti-biofilm activity and low cytotoxicity with an average EC50 and TC50 values of 0.0333 and 6.55 mg/L, respectively, yielding an average therapeutic index value of 197. The AI-assisted TEM image analysis allowed automated detection of E. faecium 1449 with 97% ~ 99% accuracy. Discussion Conclusively, the bioactive Ag-hydrosol NP is a promising nanotherapeutic agent against drug-resistant pathogens. The AI-assisted TEM image analysis was developed with the potential to assess its treatment effect.
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Affiliation(s)
- Alya Limayem
- Department of Biology, College of Arts & Sciences, University of North Florida, Jacksonville, FL, United States,Department of Pharmaceutical Sciences, Graduate Program, Taneja College of Pharmacy, University of South Florida, Tampa, FL, United States,*Correspondence: Alya Limayem, ; Qingyu Zhou,
| | - Mausam Mehta
- Department of Pharmaceutical Sciences, Graduate Program, Taneja College of Pharmacy, University of South Florida, Tampa, FL, United States,Morsani College of Medicine, University of South Florida, Tampa, FL, United States
| | - Natalie Kondos
- Department of Pharmaceutical Sciences, Graduate Program, Taneja College of Pharmacy, University of South Florida, Tampa, FL, United States,Morsani College of Medicine, University of South Florida, Tampa, FL, United States
| | - Divya Kaushal
- Department of Pharmaceutical Sciences, Graduate Program, Taneja College of Pharmacy, University of South Florida, Tampa, FL, United States
| | - Farhat Binte Azam
- Department of Computer Science & Engineering, College of Engineering, University of South Florida, Tampa, FL, United States
| | - Sriram Chellappan
- Department of Computer Science & Engineering, College of Engineering, University of South Florida, Tampa, FL, United States
| | - Nan Qin
- Department of R&D and Analytical Services, Natural Immunogenics Corporation, Sarasota, FL, United States
| | - Qingyu Zhou
- Department of Pharmaceutical Sciences, Graduate Program, Taneja College of Pharmacy, University of South Florida, Tampa, FL, United States,*Correspondence: Alya Limayem, ; Qingyu Zhou,
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