Concentrations Of Cefixime Research Articles

Cefixime removal via WO3/Co-ZIF nanocomposite using machine learning methods

In this research, an upgraded and environmentally friendly process involving WO3/Co-ZIF nanocomposite was used for the removal of Cefixime from the aqueous solutions. Intelligent decision-making was employed using various models including Support Vector Regression (SVR), Genetic Algorithm (GA), Artificial Neural Network (ANN), Simulation Optimization Language for Visualized Excel Results (SOLVER), and Response Surface Methodology (RSM). SVR, ANN, and RSM models were used for modeling and predicting results, while GA and SOLVER models were employed to achieve the optimal conditions for Cefixime degradation. The primary goal of applying different models was to achieve the best conditions with high accuracy in Cefixime degradation. Based on R analysis, the quadratic factorial model in RSM was selected as the best model, and the regression coefficients obtained from it were used to evaluate the performance of artificial intelligence models. According to the quadratic factorial model, interactions between pH and time, pH and catalyst amount, as well as reaction time and catalyst amount were identified as the most significant factors in predicting results. In a comparison between the different models based on Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Coefficient of Determination (R2 Score) indices, the SVR model was selected as the best model for the prediction of the results, with a higher R2 Score (0.98), and lower MAE (1.54) and RMSE (3.91) compared to the ANN model. Both ANN and SVR models identified pH as the most important parameter in the prediction of the results. According to the Genetic Algorithm, interactions between the initial concentration of Cefixime with reaction time, as well as between the initial concentration of Cefixime and catalyst amount, had the greatest impact on selecting the optimal values. Using the Genetic Algorithm and SOLVER models, the optimum values for the initial concentration of Cefixime, pH, time, and catalyst amount were determined to be (6.14 mg L−1, 3.13, 117.65 min, and 0.19 g L−1) and (5 mg L−1, 3, 120 min, and 0.19 g L−1), respectively. Given the presented results, this research can contribute significantly to advancements in intelligent decision-making and optimization of the pollutant removal processes from the environment.

Cellulose-based Co[sbnd]Fe LDH composite as a nano-adsorbent for sulfamethoxazole and cefixime residues: Evaluation of performance, green metrics and cytotoxicity

The increase in antibiotic residues poses a serious threat to ecological and aquatic environments, necessitating the development of cost-effective, convenient, and recyclable adsorbents. In our study, we used cellulose-based layered double hydroxide (LDH) as an efficient adsorbent and nanocarrier for both sulfamethoxazole (SMX) and cefixime (CFX) residues due to their biodegradability and biocompatibility. Chemical processes are measured according to green chemistry metrics to identify which features adhere to the principles. A GREEnness Assessment (ESA), Analytical GREEnness Preparation (AGREEprep), and Analytical Eco-Scale Assessments (ESA) were used to assess the suitability of the proposed analytical method. We extensively analyzed the synthesized CoFe LDH/cellulose before and after the adsorption processes using XRD, FTIR, and SEM. We investigated the factors affecting the adsorption process, such as pH, adsorbent dose, concentrations of SMX and CFX and time. We studied six nonlinear adsorption isotherm models at pH 5 using CoFe LDH, which showed maximum adsorption capacities (qmax) of 272.13 mg/g for SMX and 208.00 mg/g for CFX. Kinetic studies were also conducted. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) assay was performed on Vero cells in direct contact with LDH nanocomposites to evaluate the cytotoxicity and side effects of cellulose-based CoFe LDH. The cellulose-based CoFe LDH nanocomposite demonstrated excellent cytocompatibility and less cytotoxic effects on the tested cell line. These results validate the potential use of these unique LDH-based cellulose cytocompatible biomaterials for water treatment applications. The cost of the prepared adsorbents was investigated.

Adsorption/photocatalytic degradation of Cefixime by the green Bi2WO6/g-C3N4/ZIF-67 dual S-scheme heterojunction: Artificial neural network, genetic algorithm, density functional theory, and toxicity assessments

This study investigated the photocatalytic adsorption, degradation, and mineralization of Cefixime (CFX) through hydrothermally synthesized Bi2WO6(36 %)/g-C3N4(54 %)/ZIF-67(10 %) dual S-scheme heterojunction (BCZ). Full characterization analysis for the fresh and reused photocatalyst was explored to study the formation of heterojunction, stability, and reusability of the BCZ. VB-XPS, Mott-Schottky plots, and UV–Vis DRS defined the band structure and electron transfer mechanism of BCZ. The effects of ten operating condition factors, including reaction time, initial concentration of CFX, the dosage of photocatalyst, reaction temperature, initial pH of the reaction, visible and UV intensity, and concentration of Na2SO4, NaOH, and NaCl in the reaction solution were experimentally investigated. These factors were then modeled through artificial neural networks (ANN). The number of neurons, training algorithm, and the type of activation functions in the ANN were optimized by mean squared error metric followed by the visualizations of the ANN predictions. Two cost functions (the ratio of instantaneous CFX concentration to initial CFX concentration (C/C0) and the ratio of photocatalyst dosage to the amount of CFX removed) were employed to optimize the value of these operating condition factors separately and simultaneously through single and multi-objective genetic algorithms. Coupling LC-MS results and DFT calculations, a degradation pathway for Cefixime was proposed and then analyzed by QSAR. The toxicity of the treated solution was investigated using the wheat seed culture, along with MIC and MBC testing conducted by E. coli and S. aureus, and its eco-friendliness was confirmed by TOC and COD. Furthermore, ICP-OES confirmed that BCZ is a green photocatalyst.

Comparison of modeling, optimization, and prediction of important parameters in the adsorption of cefixime onto sol-gel derived carbon aerogel and modified with nickel using ANN, RSM, GA, and SOLVER methods

Today, the main goal of many researchers is the use of high-performance, economically and industrially justified materials, as well as recyclable materials in removing organic and dangerous pollutants. For this purpose, sol-gel derived carbon aerogel modified with nickel (SGCAN) was used to remove Cefixime from aqueous solutions. The influence of important parameters in the cefixime adsorption onto SGCAN was modeled and optimized using artificial neural network (ANN), response surface methodology (RSM), genetic algorithm (GA), and SOLVER methods. R software was applied for this purpose. The design range of the runs for a time was in the range of 5 min–70 min, concentration in the range of 5 mg L−1 to 40 mg L−1, amount of adsorbent in the range of 0.05 g L−1 to 0.15 g L−1, and pH in the range of 2.0–11. The results showed that the ANN model due to lower Mean Squared Error (MSE), Sum of Squared Errors (SSE), and Root Mean Squared Error (RMSE) values and also higher R2 is a superior model than RSM. Also, due to the superiority of ANN over the RSM model, the optimum results were calculated based on GA. Based on GA, the highest Cefixime adsorption onto SGCAN was obtained in pH, 5.98; reaction time, 58.15 min; initial Cefixime concentration, 15.26 mg L−1; and adsorbent dosage, 0.11 g L−1. The maximum adsorption capacity of Cefixime onto SGCAN was determined to be 52 mg g−1. It was found the pseudo-second-order model has a better fit with the presented data.

Embedded ZnO nanorod array/TiO2/GO coated optical fiber in a photocatalytic microreactor for Cefixime degradation: Diffused or focused light sources effect

A new high-efficiency continuous photocatalytic system composed of a microreactor and an optical fiber coated with a ZnO nanorod array/TiO2/GO with a retention time of 4–7 min was introduced. Using a new step-by-step chemical bath deposition method, a ZnO nanorod array coated with TiO2 and GO was grown on the surface of an optical fiber with different mass ratios. The coated photocatalytic layer was characterized using XRD, XPS, Raman spectra, UV-drs, TEM, and SEM. The photocatalytic degradation efficiency of Cefixime (CEF) in the microreactor was studied under irradiation from two diffusing and focusing light sources to determine the effect of light radiation type on the efficiency. ZnO nanorods/TiO2 coated optical fiber (Ti/Zn weight ratio = 0.37) and GO deposition during the growth of ZnO nanorods demonstrated the highest degradation efficiency. The operational and geometrical parameters were optimized as fiber length = 15 cm, fiber diameter = 500 µm, CEF concentration = 10 ppm, and pH = 4.8. The removal efficiency under these conditions was approximately 67 % with a diffused light source and 80.1 % with a focused light source. The coated photocatalytic composite showed high stability to the liquid flow after 1200 min of continuous operation, indicating the ZnO nanorods/TiO2/GO coating method's success.

Adsorption of Cefixime from aqueous solutions by biochar prepared from pine leaves (<i>Pinus kesiya</i>)

Nowadays, water pollution due to antibiotics is a serious matter. This present research investigated to analyze the characteristics of biochar from pine leaves (Pinus kesiya) to remove the antibiotic Cefixime from aqueous solutions. The influence of some factors: pH (2-10); contact time (10-240 mins); initial concentration of Cefixime were carried out. The characterization of materials was determined by using FT-IR (Fourier Transform Infrared Spectrometer), BET (Brunauer - Emmett - Teller), and SEM (Scanning Electron Microscope). Biosorption data was suitable for Langmuir and Freundlich isotherm models. Through the linear equation of the Langmuir isotherm model, the maximum adsorption capacities of Cefixime (qmax) were 21,51 mg/g. The biosorption process obeyed the Pseudo second-order kinetic models. This research proves that biochar is a potential biosorbent for antibiotic Cefixime removal from an aqueous solution with high efficiency, low cost, and environmental friendliness.

Bio-ZnO/Fe3O4@MWCNTs Magnetic Nanocomposites Promoted Green Synthesis of Pyrrole Derivatives and Removal of Cefixime and Amoxiciline from Aqueous Solution

In this research the one-pot multicomponent reactions of cefixime (CFX), activated acetylenic compounds and alkyl bromids in water as solvent at room temperature in the presence of catalytic amounts of ZnO/Fe3O 4 @MWCNTs magnetic nanocomposites as catalyst was investigated which was produced new derivatives of pyrroles in good yields. In this research, the high performance of nanocatalyat ZnO/Fe3O4@MWCNTs magnetic nanocomposites was synthesized by using water extract of Petasits hybridus leaves, which was utilized in these reactions for many times to confirm the reusability of nanocatalyst. and utilized as an environmental-friendly adsorbent for cefixime (CFX) and amoxicillin (AMX) removal. The adsorption parameters, including the initial CFX and AMX concentration, contact time; solution pH, temperature, and adsorbent dosage were investigated. The adsorption kinetic and isotherm were well fitted by the pseudo second-order and Langmuir models, respectively. The short time of reaction, high yields of product and easy separation of catalyst and product are some advantages of this procedure.

Polyaniline/Bi12TiO20 Hybrid System for Cefixime Removal by Combining Adsorption and Photocatalytic Degradation

Sillenite catalysts have shown efficient photocatalytic activity for the removal of various pollutants from water in previous studies, thus enhancing their activity by combining them with other materials will be very promising for environmental applications. In this context, an interesting hybrid system containing Polyaniline (PANI) as an adsorbent and Bi12TiO20 (BTO) sillenite as a catalyst was proposed in this work. Cefixime (CFX) has been selected as a pollutant for this study, and its removal was evaluated using PANI (adsorption), PANI and BTO (combined system) and the hybrid system Bi12TiO20/Polyaniline (BTO/PANI). First, the impact of PANI adsorption was investigated on its own; after that, the solution was filtered to separate the adsorbent from the liquid in order to re-treat the solution using photocatalysis (combining adsorption with photocatalysis). At the same time, a similar technique was used involving the hybrid system BTO/PANI. The results show that the hybrid system can remove a very high Cefixime concentration of 30 mg/L, almost 100%, within only 2 h, and this is better than previous investigations. These results indicate that it is possible to combine photocatalysis and adsorption processes to control water pollution.

Improved catalytic performance of ZnO via coupling with CoFe2O4 and carbon nanotubes: A new, photocatalysis-mediated peroxymonosulfate activation system, applied towards Cefixime degradation

In this study, a ternary ZnO@spinel cobalt ferrite@carbon nanotube magnetic photocatalyst (ZSCF@CNT) was successfully synthesized and used to activate peroxymonosulfate (PMS) for Cefixime (CFX) antibiotic degradation under UVC irradiation. The morphology, optical, structural, and physicochemical properties of ZSCF@CNT were characterized and analyzed by XPS, XRD, FESEM-EDX, TEM, BET, VSM, UV–vis DRS and PL analysis. The results indicated that the ternary ZSCF@CNT photocatalyst exhibited superior catalytic activity on CFX elimination than that of individual components and binary composite catalysts, in which CFX with was rapidly removed under UVC irradiation and PMS. The effect of operational parameters including initial PMS, catalyst, and CFX concentrations and solution pH on the catalytic activity was investigated in detail; the optimal conditions were: pH: 7.0, catalyst: 0.3 g/L, PMS: 3.0 mM, leading to total CFX (10 mg/L) elimination in ∼20 min. Based on the radical scavenger tests, various radicals and non-radical species including sulfate, hydroxyl and superoxide radicals, singlet oxygen and electrons were involved in the ZSCF@CNT/PMS/UVC system. The high surface area, reduced agglomeration formation and excellent separation of photogenerated electron-hole pairs embodied in ZSCF@CNT photocatalyst conferred its superior catalytic activity and stability. The results from the tests in real water matrices revealed that ZSCF@CNT could be a promising photocatalyst to activate PMS for actual aqueous matrices’ treatment.

Ultrasonic-assisted synthesis of α-Fe2O3@TiO2 photocatalyst: Optimization of effective factors in the fabrication of photocatalyst and removal of non-biodegradable cefixime via response surface methodology-central composite design

Environmental pollution becomes a major worldwide issue that threatens the entire biosphere.On the other hand, visible-light photocatalysis technology is one of the most effective approaches to wastewater treatment due to its superb removal efficiency, facile process, and ecological friendliness.Herein, a highly efficient α-Fe2O3@TiO2 nanocomposite was synthesized using a rapid sonochemical technique and a conventional wet impregnation route for the elimination of cefixime. Towards achieve the optimal photocatalyst, the influences of operational parameters including calcination temperature (300–600 °C), and Fe2O3 loadings (1-5 wt%) were examined utilizing the Response Surface Methodology (RSM). Additionally, two important factors, irradiation time (3–8 min) and power (50–90 W) of ultrasonic waves, were investigated to optimize the efficiency, dimension, and structure of the photocatalyst. Then, the manufactured nanocomposites were characterized with the aid of techniques TEM, XRD, BET, FE-SEM, EDS-map, FTIR, and UV–Vis band gap analysis. The optimal photocatalyst (3.09 wt%, 439.34 °C, 70 W, and 8 min) was used to study the effect of four efficacious variables on cefixime removal by RSM. Maximum cefixime degradation (98.8%) occurred at optimum conditions (cefixime concentration = 20.5 mg/L, pH = 4.76, Irradiation time = 103 min and catalyst dose = 0.012 g/l). Based on the empirical data, statistical analysis proved the regression model's validity and adequacy. The COD elimination revealed that in comparison with other studies the α-Fe2O3@TiO2 photocatalyst could successfully mineralize cefixime (82.4%). Generally, the stability of α-Fe2O3@TiO2 in the photocatalytic degradation of cefixime was observed across five cycles with minimal iron leaching, making it a perfect catalyst for the removal of non-biodegradable pharmaceuticals.

A comprehensive comparison of green Bi2WO6/g-C3N4 and Bi2WO6/TiO2 S-scheme heterojunctions for photocatalytic adsorption/degradation of Cefixime: Artificial neural network, degradation pathway, and toxicity estimation

This study comprehensively compared two hydrothermally synthesized S-scheme heterojunctions, Bi2WO6/g-C3N4 and Bi2WO6/TiO2. The photocatalytic removal of cefixime (CFX) was used to screen the different mass ratios of the components for each heterojunction. Photocatalytic adsorption/degradation and operational effects such as initial pH, the ratio of CFX concentration to the photocatalyst load, light intensity, UV irradiation, and the presence of anions were compared and evaluated. The adsorption isotherms and kinetics of the photocatalytic adsorption and degradation were studied. Furthermore, the band structure was investigated by valence band X-ray photoelectron spectroscopy (VB-XPS), Mott-Schottky plot, and UV–vis DRS. The mechanism of the photocatalytic reaction under visible and UV–vis irradiation was comprehensively investigated by scavenger tests and electron spin resonance (ESR). The photocurrent response, EIS, and linear sweep voltammetry (LSV) results confirmed the photocatalytic enhancement of the heterojunctions. The leaching of metal ions, reusability, and performance of the heterojunctions were investigated for 6 cycles. The photocatalytic degradation pathway of CFX and the toxicity of the by-products were investigated by LC-MS and Toxicity Estimation Software Tool (T.E.S.T). After 135 min of photocatalytic reactions, the TOC removal efficiency of CFX was 94 % and 91 % for Bi2WO6/g-C3N4 and Bi2WO6/TiO2. CFX and the by-products were entirely mineralized after 180 min of the reactions. It was found that the binary heterojunctions and the photocatalytic reactions are green and environmentally friendly. The optimized artificial neural network with 18 neurons simulated the experiments. The trained feed-forward network was able to successfully simulate different operating conditions and different mass ratios of the heterojunctions.

Enhanced adsorption and recyclability of surface modified hydrophobic silica aerogel with triethoxysilane: removal of cefixime by batch and column mode techniques.

Amine modified pumice-derived silica aerogel (AMPDSA) was synthesized and grafted up to 6.52 [Formula: see text] with (3-aminopropyl) triethoxysilane for cefixime antibiotic adsorption. Using Response surface methodology, at the pH of 3, the maximum removal of cefixime of 80.42% for an initial concentration of 3.56mg L-1 was achieved at an equilibrium time of 150min. The compliance of various kinetic and isotherm models for the batch sorption system was corroborated from the correlation coefficient (R2) values. The maximum adsorption capacity of 19.76mgg-1 and 49.63mgg-1 was calculated for Langmuir and Khan isotherm models, respectively. The removal by fixed-bed column as a function of flow rate, initial cefixime concentration, and bed height was also performed. The maximum adsorption capacity of column with the bed height of 15cm was found to be 31mgg-1 at the flow rate of 10mLmin-1 for the initial concentration of 20mg L-1. The compliance of Thomas model with the column sorption was observed. The characterization using SEM, BET, and XRD was carried out for the virgin and regenerated AMPDSAs. The regeneration experiments confirmed the ability of AMPDSA for its cefixime removal efficiency of 80% up to eight cycles.

In vitro selection of Neisseria gonorrhoeae unveils novel mutations associated with extended-spectrum cephalosporin resistance.

The emergence of Neisseria gonorrhoeae strains resistant to extended-spectrum cephalosporins (ESCs) is a worldwide concern because this class of antibiotics represents the last empirical treatment option for gonorrhea. The abusive use of antimicrobials may be an essential factor for the emergence of ESC resistance in N. gonorrhoeae. Cephalosporin resistance mechanisms have not been fully clarified. In this study, we mapped mutations in the genome of N. gonorrhoeae isolates after resistance induction with cefixime and explored related metabolic pathways. Six clinical isolates with different antimicrobial susceptibility profiles and genotypes and two gonococcal reference strains (WHO F and WHO Y) were induced with increasing concentrations of cefixime. Antimicrobial susceptibility testing was performed against six antimicrobial agents before and after induction. Clinical isolates were whole-genome sequenced before and after induction, whereas reference strains were sequenced after induction only. Cefixime resistance induction was completed after 138 subcultures. Several metabolic pathways were affected by resistance induction. Five isolates showed SNPs in PBP2. The isolates M111 and M128 (ST1407 with mosaic penA-34.001) acquired one and four novel missense mutations in PBP2, respectively. These isolates exhibited the highest minimum inhibitory concentration (MIC) for cefixime among all clinical isolates. Mutations in genes contributing to ESC resistance and in other genes were also observed. Interestingly, M107 and M110 (ST338) showed no mutations in key determinants of ESC resistance despite having a 127-fold increase in the MIC of cefixime. These findings point to the existence of different mechanisms of acquisition of ESC resistance induced by cefixime exposure. Furthermore, the results reinforce the importance of the gonococcal antimicrobial resistance surveillance program in Brazil, given the changes in treatment protocols made in 2017 and the nationwide prevalence of sequence types that can develop resistance to ESC.

Development of optimized regression model for Raman spectral analysis of pharmaceutical drugs cefixime and sitagliptin

To build a robust model for the quantification of pharmaceutical drugs, different regression algorithms and preprocessing techniques are employed. In this study, Raman spectroscopy is used for the analysis of solid dosage formulations of two drugs, cefixime and sitagliptin. Using the different amounts of excipients and active pure ingredients (API), the different concentrations of cefixime and sitagliptin are made. The principal component regression (PCA), partial least-squares regression (PLSR), and PLSR based on feature selection by variable importance in projection (VIP) scores are used to regress the model to quantify the API concentration of cefixime and sitagliptin in a mixture of excipients. These models are built on both normalized and unnormalized data of cefixime and sitagliptin to check the performance of the constructed models. By comparing errors of all trained models, it is observed that the root mean square error of calibration (RMSEC) and root mean square error of prediction (RMSEP) were minimum in the case of PLSR model construction on unnormalized data of both cefixime and sitagliptin.

Efficient removal of the antibiotic Cefixime on Mg0.3Zn0.7O under solar light: kinetic and mechanism studies.

The heterogeneous photocatalysis is known to provide significant degradation and mineralization of emerging contaminants including antibiotics. For this, nanosized Mg0.3Zn0.7O (MZO) was prepared by nitrate route to be used as photocatalyst. The single-phase was confirmed by X-ray diffraction with a crystallite size of 33nm. The morphology was visualized by scanning electron microscope/energy-dispersive X-ray analysis. The physicochemical properties were studied by the FTIR, XPS, and optical analyses. The diffuse reflectance gives a direct forbidden band of 3.26eV. The electrochemical characterization showed an n-type semiconductor with a flat band of - 0.56 VAg/AgCl. The photodegradation of Cefixime (CFX) was carried out under solar light; the operating parameters such as the catalyst dose, solution pH, and initial CFX concentration (Co) were optimized. The best performance occurs at neutral pH ~ 6 within 4h with an abatement of 94% for an initial CFX concentration of 5mg/L and MZO dose of 0.75g/L. The photodegradation follows a first-order kinetic with an apparent rate constant of 0.012 min-1. The effects of scavenging agents indicated the dominant role of hydroxyl •OH followed by the holes (h+). The results showed the potentiality of MZO as an environmentally friendly photocatalyst for CFX photodegradation.

Photocatalytic degradation of cefixime using visible light-driven Z-scheme ZnO nanorod/Zn2TiO4/GO heterostructure

ZnO nanorod along with a Zn2TiO4/GO heterostructure with enhanced charge transfer capability was synthesized by a facile sol-gel method. FT-IR, XRD, XPS, TEM, SEM, EDX, UV–Vis DRS, photocurrent response and PL analyses were applied to characterize the as-prepared photocatalysts. To investigate the photocatalytic activity of the composite, Cefixime (CEF) removal under visible light was evaluated. The ZnO nanorod/Zn2TiO4/GO, including 65 wt% ZnO and 3 wt% graphene oxide, showed the highest CEF degradation and was selected as the optimal ternary composite. Reduction of electron-hole pair recombination rate, successful interfacial charge transfers, and more visible light reception in the Z-scheme system were the important reasons for improving the photocatalytic properties of ZnO nanorod/Zn2TiO4/GO. Effective operating parameters in the CEF photocatalytic removal process were optimized employing the response surface method and were as follows: photocatalyst dosage = 0.88 g/L, pH = 5, radiation time = 115 min, and CEF concentration = 10 ppm. The photocatalytic degradation% of CEF and total organic carbon (TOC) removal% under the optimal conditions were 71.4 and 57.5%, respectively, for the three-component composite indicating the production of intermediate species during the process. This photocatalytic reaction confirmed the first-order kinetic and using the ZnO nanorod/Zn2TiO4/GO composite was able to improve the reaction rate by about 2.7 and 6.2 times more than ZnO nanorod/Zn2TiO4 and ZnO, respectively. The effects of radiation intensity and temperature were investigated and 175 W/m2 and 35 °C were obtained as optimum values. Eventually, according to the trapping test, h+, superoxide radical, and hydroxyl radical are the most effective active species in this photocatalytic reaction, respectively.

Bioequivalence Study of Two Formulations of Cefixime

Cefixime is a broad-spectrum oral antibiotic used for treating a wide variety of bacterial infections. Study Objective: The objective of this study was to find out whether bioequivalence study of Cefixime 200 mg, Profim® capsule manufactured by PT Promedrahardjo Farmasi Industri in comparison with Cefixime 100 mg, Cefspan® capsule manufactured by PT Dankos Farma, For PT Kalbe Farma Tbk, under license by Astellas Pharma Inc., Osaka – Japan. Methods: The study was conducted using an open-label, randomized, single-dose, two-periods, two-treatments, crossover study under fasting conditions with 8 (eight) days washed-out period between each period. According to the random design, a single oral dose of the test drug or reference drug was administered to 30 healthy male subjects after overnight fasting. The number of subjects who finished the study was twenty-eight (28) healthy male subjects. Serial plasma samples were obtained over a 32 hours period. Plasma concentrations of the drug were determined by LC-MS/MS method. From the Cefixime concentration vs. time curves, the following pharmacokinetic parameters were obtained: AUC0-32h, AUC0-∞, and Cmax, while the statistical interval proposed was 80.00 - 125.00% for AUC0-32h and Cmax with 90% Confidence Interval (CI) with α = 5.00%. The estimation of Tmax and T1/2 in the bioequivalence study was based on a nonparametric statistical procedure on the original data using Wilcoxon Sign Test. Results: The main pharmacokinetic parameters of the test drug Profim® (BN: B051A21P-1)/ reference drug, Cefspan® (BN: KCEFB00038) ratio were as follows: AUC0-32h: 105.86 (95.41 - 117.44) with CV Intra Subjects was 22.72% and Cmax: 105.63 (95.33 - 117.03) with CV Intra Subjects was 22.43 %. Whilst TMAX of the test drug Profim® (BN: B051A21P-1)/ reference drug, Cefspan® (BN: KCEFB00038) were respectively 4.50 (3.50 – 6.00) h and 4.50 (3.00 – 6.00) h; mean T1/2 were respectively 4.18 ± 0.78 h and 4.14 ± 0.56 h; and mean Slope were respectively (-0.17) ± 0.03 h and (-0.17) ± 0.02 h. There is no adverse event that occurred during this study. Conclusion: The present study demonstrated that the evaluated test drug Profim® (BN: B051A21P-1) were bioequivalence in term of both rate and extent of absorption to the reference drug Cefspan® (BN: KCEFB00038).

An Experimental Design Approach for Validation and Optimisation of Spectrophotometric Determination of Cefixime in Pharmaceutical Dosage Form

Two simple, sensitive and precise spectrophotometric methods for the assay of cefixime in either pure form or in its pharmaceutical dosage form are described. The method I is based on the reaction of salicylaldehyde with cefixime resulting in a yellow coloured product, absorbs at λmax 425 nm. The second method describes the reaction between the diazotized drug and N-(1-naphthyl)ethylenediamine dihydrochloride to yield a purple coloured product with λmax at 567 nm. The reaction conditions were optimized to get maximum colour intensity. The absorbance was found to extend linearly with increasing the concentration of cefixime the systems obeyed the Beer’s law within the range of 2-10 μg/ml and 5-25 μg/ml for salicylaldehyde and N-(1-naphthyl)ethylenediamine dihydrochloride methods. Common excipients used as additives in pharmaceutical dosage don’t interfere within the proposed analytical methods. The products are stable for over 6 h and 10 h respectively. The proposed methods are simple, sensitive, accurate and suitable for quality control uses.

High efficient Cefixime removal from water by the sillenite Bi12TiO20: Photocatalytic mechanism and degradation pathway

Water pollution is a significant concern that affects the environment and human health. Antibiotics are among the most dangerous types of pollutants spreading in our time because of their harmful effects, such as generating antibiotic-resistant bacteria. Therefore, it is necessary to attain an eco-friendly and efficient method for treating those hazardous compounds. This study proposes a clean approach for removing antibiotics from pharmaceutical wastewater, using an efficient photocatalyst Bi12TiO20 (BTO) synthesized by the sol-gel method. Several characterizations were carried out to identify the obtained catalyst, such as XRD, BET, Raman, FESEM, EDX with elemental mapping, TEM, UV–Vis, and PL, in which the space group of BTO crystals was discovered to be I23, with a bandgap of 2.9 eV. To evaluate the photocatalytic properties of the catalyst BTO, Cefixime (CFX) was chosen as a pollutant example. The photocatalytic efficiency was optimized using an artificial neural network (ANN) method with a deep learning technique. The ANN network was trained using experimental data with various BTO dosages and CFX initial concentrations at varying pH. The results have shown that the BTO catalyst can lead to 94.93% CFX degradation and 87.66% mineralization within only 3 h, this efficiency was very high compared to other catalysts used in previous studies. The relative importance of different photocatalytic parameters was estimated using ANN data, the highest effective parameter was the initial CFX concentration. Then, the by-products were analyzed using GC-MS, and a pathway for CFX degradation was suggested. The mechanism of the degradation was also investigated in the presence of scavenger agents. The results showed that the CFX molecules had been degraded totally into tiny molecules, proving the efficient performance of this catalyst. These findings make this sillenite an effective catalyst for removing antibiotics from the aquatic environment.

Photocatalytic degradation of cefixime in aqueous solutions using functionalized SWCNT/ZnO/Fe3O4 under UV-A irradiation

In this study, SWCNT/ZnO/Fe3O4 heterojunction composite was prepared for enhancing the degradation of β-lactam drugs such as cefixime (CFX) from an aqueous solution. The effects of several factors such as pH, initial concentration of CFX, and photocatalyst dose were investigated. Among them, pH was the most effective parameter for the degradation of CFX. Pareto graph revealed that the degradation process was accelerated at acidic conditions. The surface morphology test such as scanning electron microscopy (SEM) was applied to enlighten the surface of the functionalized SWCNT/ZnO/Fe3O4 photocatalyst. Highly advanced analyzes such as X-ray Photoelectron Spectroscopy (XPS), Energy Dispersive Spectrometry (EDX), Fourier-Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), and point of zero charge were included to explain the structure of the photocatalyst. The response surface methodology's results show that the optimum CFX efficiency was fully achieved at 94.19%. The optimal conditions with lower standard error (2.08) were given as pH of 5.93, 22.76 ppm of CFX, and 0.46 g L−1 of the amount of photocatalyst. Besides, the obtained photocatalyst can be easily used many times owing to its high reusability. SWCNT/ZnO/Fe3O4 photocatalyst might be recommended to be used for the mineralizing of drug compounds such as antibiotics in water. Moreover, thiazol-2-ol, N-(dihydroxymethyl)-2-(2-hydroxythiazol-4-yl)acetamide,(S)-N-(2-amino-1-hydroxy-2-oxoethyl)-2-(2 hydroxythiazol-4-yl), and 2-(2-hydroxythiazol-4-yl)-N-((2R,3R)-2-mercapto-4-oxoazetidin-3-yl)acetamide were among the detected intermediates products from the cefixime degradation in the process.