About: Caliphate Journal of Science and Technology is an academic journal published by African Journals OnLine. The journal publishes majorly in the area(s): Chemistry & Biology. It has an ISSN identifier of 2705-313X. Over the lifetime, 40 publications have been published receiving 12 citations.
TL;DR: In this paper , the authors considered selected adsorption kinetics and isotherms models and provided essential information required for understanding the adsorption process by using correlation coefficient.
Abstract: Adsorption Kinetics describes the rate at which solute is adsorbed and the resident time of the adsorbates on the solid-liquid interface. Adsorption isotherms play important role in determining the interaction between adsorbate and adsorbent and the optimum adsorption capacity of adsorbent. This article considered selected adsorption kinetics and isotherms models. Pseudo first order, Pseudo second order, Elovich, Bhattacharya and Venkobachar, and Natarajan and Khalaf were adsorption kinetics reviewed on the assumption that the process behaves as heterogeneous reaction at solid-liquid interface. Adsorption kinetics equation presented takes the form of straight line, the slopes and intercepts of the plots are used to determine adsorption capacity of adsorbent, rate constant, rate of adsorption and intraparticle diffusion. Value of correlation coefficient obtained is used in determining the adsorption kinetics model that best describe the adsorption process. Langmuir, Freundlich, Radlich-Peterson, Temkin and Dubinin-Radushkevic adsorption isotherms were presented. Their slopes and intercepts provide insight on adsorption affinity, mean free energy, whether the adsorption is physisorption or chemisorptions, single or multilayer. Adsorption kinetics and isotherms reviewed provide essential information required for understanding adsorption process.
Keywords: Adsorption; kinetics; isotherms; pseudo first order; Langmuir
TL;DR: In this paper , the bacteriological quality of 10 brands of sachet water commonly consumed in Dutse urban, Jigawa state, Nigeria using Membrane Filtration Technique method for enumeration of both total coliform and fecal coliform counts.
Abstract: Potable water serves as an important source for primary prevention of diseases and the foundation for the prevention and control of water borne diseases. This study was conducted to determine the bacteriological quality of ten (10) brands of sachet water commonly consumed in Dutse urban, Jigawa state, Nigeria using Membrane Filtration Technique method for enumeration of both total coliform and fecal coliform counts. Eosin methylene blue, Salmonella Shigella and plate count media as well as membrane filters with 0.45µm pore size were used. Total bacterial counts for all the water samples were not within the recommended limits by regulatory bodies; Environmental Protection Agency, World Health Organization, and National Agency for Food and Drugs Administration and Control. Results revealed that the sampled sachet water was contaminated with Klebsiella aerogenes, Pseudomonas aeruginosa, Salmonella paratyphi A, Shigella flexneri, Proteus vulgaris, Proteus mirabilis and Streptococcus pyogenes. However, Ofloxacin and Ciprofloxacin revealed 100% potency against all the seven bacterial isolates while Augmentin have no effect (0%) on any of the bacterial isolates. Appropriate treatment processes should be utilized for the production of packaged water meant for human consumption. Again, drinking water regulatory bodies should be proactive in monitoring the adherence of drinking water manufacturers to regulated processing standards.
Keywords: Sachet water; bacterial isolates; total coliform; faecal coliform; membrane filtration technique
TL;DR: This study explores sentiment analysis of Web 2.0 for novice researchers to promote collaboration and suggest the best tools for sentiment data analysis and result efficiency.
Abstract: Nowadays, people find it easier to express opinions via social media-formally known as Web 2.0. Sentiment analysis is an essential field under natural language processing in Computer Science that deals with analyzing people's opinions on the subject matter and discovering the polarity they contain. These opinions could be processed in collective form (as a document) or segments or units as sentences or phrases. Sentiment analysis can be applied in education, research optimization, politics, business, education, health, science and so on, thus forming massive data that requires efficient tools and techniques for analysis. Furthermore, the standard tools currently used for data collection, such as online surveys, interviews, and student evaluation of teachers, limit respondents in expressing opinions to the researcher's surveys and could not generate huge data as Web 2.0 becomes bigger. Sentiment analysis techniques are classified into three (3): Machine learning algorithms, lexicon and hybrid. This study explores sentiment analysis of Web 2.0 for novice researchers to promote collaboration and suggest the best tools for sentiment data analysis and result efficiency. Studies show that machine learning approaches result in large data sets on document-level sentiment classification. In some studies, hybrid techniques that combine machine learning and lexicon-based performance are better than lexicon. Python and R programming are commonly used tools for sentiment analysis implementation, but SentimentAnalyzer and SentiWordnet are recommended for the novice.
Keywords: Sentiment Analysis; Web 2.0; Applications; Tools; Novice
TL;DR: This research offers a sustainable and eco- friendly solution to mitigate toxic metal contamination in pharmaceutical effluents, protecting the environment and human well-being while advancing the field of wastewater treatment.
Abstract: Among the most significant sources of environmental contamination are pharmaceutical wastewaters, which are often contaminated with heavy metals that pose significant threats to ecosystems as well as public health. The nanoparticles was characterized using XRD, HRSEM/EDX and FTIR. The XRD analysis of the nanoparticles identified 2θ (theta), of 30.2º, 36.3º, 44.2º, 54.3º, 58.2º, 63.5º, and 74.6º which correspond to the crystal lattice planes of (220), (311), (400), (422), (511), (440), and (533), respectively. The diffraction peaks associated with Fe3O4 at 2θ of 18.02º, 29.4º, and 43.3º, related to the crystal planes of (111), (220), and (400), respectively of the Fe3O4 phase. The HRSEM image of the nanoparticles exhibited spherical-shaped structures of Fe3O4, and some irregular shapes. The effects of the dosage; consequently, the impact of the quantity of adsorbent used, ranging from 0.1 to 0.3 g, has been investigated. The results indicate that as the amount of adsorbent is increased from 0.1 to 0.3 g, the effectiveness of adsorption improves, while temperature, the efficiency improved from 50.03% to 78.01% for Pb ions, from 52.15% to 82.43% for Cd ions, and from 56.41% to 88.71% for Cu ions and contact time; the removal efficiency for Pb ions rises from 25.49% to 68.43%, for Cd ions from 29.30% to 75.71%, and for Cu ions from 31.08% to 78.31%, respectively, on the removal percentage of toxic metal ions were studied.. This research offers a sustainable and eco- friendly solution to mitigate toxic metal contamination in pharmaceutical effluents, protecting the environment and human well-being while advancing the field of wastewater treatment.
TL;DR: In this paper , a geoelectrical technique was used to identify potential groundwater bearing zones capable of sustaining economic development in Zamfara environs, Northwestern Nigeria using vertical electrical soundings (VES).
Abstract: Groundwater potential assessment was carried out within Zamfara environs, Northwestern Nigeria using geoelectrical technique with a view of solving the problem of incessant failure of boreholes in the study area. A total of one hundred and eighty-three (183) vertical electrical soundings (VES) were used to identify potential groundwater bearing zones capable of sustaining economic development of the study area. Two hydrogeological units were investigated (basement rock units and sedimentary rock unit), using Omega resistivity meter Model No. 122, to measure and record the resistance of the subsurface by Schlumberger configuration. The data obtained were interpreted quantitatively and qualitatively using the partial curve matching and computer iteration techniques to generate the first order geoelectric parameters. Generally, the VES result from the basement rock units revealed, four geoelectric layers which correspond to lateritic top soil, weathered basement (clay), partially fractured layer/fractured layer and fresh basement. The weathered/fractured layer was identified as the water bearing layer, within the basement rock units of the study area. From geospatial analysis of both weathered thickness/fracture thickness layers, South and Northeastern part tends to be the most prospective area with the best hydrogeologic conditions for borehole siting within the basement rock units. Consequently, three geo-electric layers were delineated from VES result obtained from Gundumi formation, which correspond to sandy clayey top/gravelly sandy top soil, second layer are mostly silty-clay/compacted sandstone/sandy gravel layers, the third layer were majorly saturated sandstone in some instances silty clay. However, the aquiferous layer is saturated sandstone/sandy gravel layer. The Dar Zarrouk result revealed excellent groundwater potential within the Gundumi formation. The values of coefficient anisotropy obtained from Gundumi rock units range from 0.44 to 3.79, which implies moderate saturation of groundwater. This is an indication that the aquifers of the Gundumi formation is more promising and it can be tap for both domestic and agricultural uses.
Keywords: Vertical electrical sounding; Fractured layer; Saturated Sandstone; Basement rock units; Gundumi formation