The concern about our dependency on non-renewable resources and overwhelming environmental issues such as pollution caused by non-degradable packaging materials has prompted researchers to come up with alternatives to solve this problem. Thermoplastic polylactic acid (PLA) has been gaining interest due to its versatility and easy processability, thus this study was carried out to find out the properties of PLA reinforced with pineapple fibers. However, surface of the natural fibers need to be treated for better properties enhancement in the polymer matrices. Considering this, fibers were treated with 10% (w/v) concentration of potassium hydroxide (KOH) and then continued for mixing with PLA at a fixed ratio of plasticizer by using internal mixer, and then the composites were prepared into sheet via hot press. Characterization for the mechanical and morphological was conducted by using tensile testing and scanning electron microscopy, respectively. After the analysis, it is found that the surface treated pineapple fiber composite showed better elongation at break compared to untreated fiber composite. The enhance properties of PLA nanocomposites has potential to be used in various packaging materials.
Increasing population, urbanization and industrial activities have increased the amount of solid waste worldwide. Food waste (FW) and sewage sludge (SS) are some of the solid wastes. Co-digesting of both substrates may improve process stabilization to increase biogas production and overcome the nutrients imbalance. Thus, anaerobic co-digestion has been recognized as a technology that could provide a clean renewable energy source and help reducing the landfill problem. In this study, the interaction between FW and SS as co-substrates in anaerobic digestion was studied under mesophilic temperature 36C (± 0.5). The experiments were conducted using five batch reactors with different ratios of substrates. There are four different analyses used to identify the characteristics of FW and SS, which are pH, reducing sugar (RS), total solid (TS), and total carbohydrate (TC). Water displacement method was used to record biogas yield. The experimental results showed that the highest biogas yield was from the composition of 50:50 (FW: SS) with a biogas volume of 1150.14 mL, while the least was the composition of 0:100 (FW: SS) with 170.47 mL biogas produced. The results for substrate degradation showed that the composition of 100:0 (FW: SS) has the highest percentage degradation for reducing sugar with the percentage of 56%, while the minimum was 0:100 (FW: SS) with a percentage of 35%. Besides, for TC, the highest percentage of degradation was the composition 50:50 (FW: SS) with 84%, and the least was 0:100 (FW: SS) with 44%. This study proves that using FW and SS enhanced biogas production as well as reducing the current issues of waste disposal.
The steep rise of cases pertaining to Diabetes Mellitus (DM) condition among global population has encouraged extensive researches on DM, which led to exhaustive accumulation of data related to DM. In this case, data mining and machine learning applications prove to be a powerful tool in transforming data into meaningful deductions. Several machine learning tools have shown great promise in diabetes classification. However, challenges remain in obtaining an accurate model suitable for real world application. Most disease risk-prediction modelling are found to be specific to a local population. Moreover, real-world data are likely to be complex, incomplete and unorganized, thus, convoluting efforts to develop models around it. This research aims to develop a robust prediction model for classification of type 2 diabetes mellitus (T2DM), with the interest of a Malaysian population, using three different machine learning algorithms; Decision Tree, Support Vector Machine and Naïve Bayes. Data pre-processing methods are utilised to the raw data to improve model performance. This study uses datasets obtained from the IIUM Medical Centre for classification and modelling. Ultimately, the performance of each model is validated, evaluated and compared based on several statistical metrics that measures accuracy, precision, sensitivity and efficiency. This study shows that the random forest model provides the best overall prediction performance in terms of accuracy (0.87), sensitivity (0.9), specificity (0.8), precision (0.9), F1-score (0.9) and AUC value (0.93) (Normal).
Carbon capture and storage (CCS) involves capturing, transporting and storing CO2 geologically underground permanently. Carbon capture using solvent such as amine and aqueous ammonia has been extensively studied by many researchers. However, this capture technology for CCS scheme is costly. As an alternative, CO2 emission can be cost-effectively captured and stored by utilizing the well-understood natural photosynthetic process of marine cyanobacteria. In contrast, the capturing process using cyanobacteria is very slow compared to the chemical absorption mentioned prior. Hence, this study aimed to investigate carbon capturing and storing process using integrated aqueous ammonia and mutated marine cyanobacteria (Synechococcus PCC 7002 IIUM01). The conditions that can maximize CO2 reduction under various conditions; CO2 flow rate (Lpm), absorption temperature (C) and aqueous ammonia concentrations (% (w/v)) were to be identified. The effectiveness of the mutant cyanobacteria was quantified by measuring the cell concentration, percentage reduction in CO2 concentration and lipid content. Synechococcus PCC 7002 IIUM01 showed it robustness by growing in aqueous ammonia solution at the concentration of 0.5 to 1% (w/v) at which the parent strain was not able to tolerate. The best conditions in maximizing CO2 capture and storage while sustaining growth optimally and being a potential biofuel source was observed at 0.5 Lpm of 15% CO2 gas flow rate, 0.75% (w/v) of ammonia concentration and 33C of absorption temperature. At this specified condition, around 68% of CO2 removal was achieved with 9% (w/w) yield of lipid and more than 13% (w/v) of cell concentration obtained.
Cellulose facial masks have gained a huge interest in the cosmetic industry. Cellulose can be extracted from plant biomass, bacteria and algae. In this study, several formulated PVA-based facial masks (F1, F2, F3, F4) incorporated with microfibrillated cellulose extracted from sugarcane bagasse (MFC-SCB) were prepared. The concentration of polyvinyl alcohol (PVA) was varied (5%–20% (w/w)) while the concentration of microfibrillated cellulose of sugarcane bagasse (MFC-SCB) was fixed at 5% (w/w) to get the appropriate composition of the facial masks. The MFC-SCB was
extracted through chemical treatment assisted with ultrasonication. Sensory tests in terms of adhesion to the skin, spreadability, color, odor, and drying time were performed. These tests were carried out by requesting the volunteers to rate the performance of the masks. The results showed that the formulated facial mask F3 (15% [w/w] of PVA and 5% [w/w] of MFC-SCB) has the highest average score (13.9) which is 82% from the total score compared to other formulated masks. However, the standard formulation mask F5 (15% [w/w] of PVA and 5% [w/w] of sodium carboxylmethyl cellulose, CMC) achieved the highest score (13.5) compared to F3 (12.5). The findings of this study proved that the presence of MFC-SCB with PVA has a competitive performance with the standard facial mask formulation.
Carbon nanoparticles have been widely used in various applications. However, they are commonly known to have low dispersibility and chemical inertness which limit their practical ability in medical or biological area. Some studies have been performed to modify carbon nanoparticles such as carbon nanotubes using ultraviolet (UV)-Ozone system. However, little is known on the effects of such system towards other types of carbon nanoparticles such as mesoporous hollow carbon nanoparticles (MHCNs). Thus, in this study, improvement of MHCNs physiochemical properties have been studied using UV-Ozone treatment for the first time. The treatment was conducted in water as dispersant agent at ozone flowrate of 1.0 L/min and exposure time of 45 min. SEM images observed that MHCNs morphology and surface structure remain intact after the treatment. Observations on the dispersibility of MHCNs in phosphate buffered saline (PBS) solution shows that the dispersibility was improved compared to the untreated ones. This was supported by the low Z-average and PDI values of treated MHCNs obtained at ~400 nm and 0.2, respectively when compared to the untreated MHCNs which was obtained at 970 nm and 0.417, respectively. Thermogravimetric analysis (TGA) showed an increased in weight loss of treated MHCNs at the lower temperature compared to untreated MHCNs. Results from Fourier Transform Infrared (FTIR) showed an increase number of new functional groups that includes carboxylic acid group presence at the surface of treated MHCNs which contributes to the improvement of their dispersibility, thermal properties and chemical functionality. These findings opened a new possibility of using UV-Ozone treatment to improve physicochemical properties of MHCNs for medical area such as in drug delivery application in addition to their excellent storage and carrier system.
Dengue disease, which is caused by dengue virus (DENV) has been a major worldwide concern, with increased number of cases each year. Currently, there are no specific medications to treat the disease. Hence, there is a dire need to develop novel drugs for disease treatment. Glycolysis is a metabolic pathway that serves as the main source of energy for DENV replication and targeting the pathway is one of the ideal approach to discover new anti-DENV drugs. This paper focuses on the inhibition of human hexokinase isoform 2 (HK2) enzyme, which is one of the important enzymes in glycolysis, in the quest to disrupt DENV replication. In order to search for potential inhibitors, two methods were conducted, which are ligand-based screening and structure-based screening approaches. Docking of Daidzin , which was derived from Kudzu, a Japanese plant, into the active site of HK2 has shown the nearest binding affinity score (-7.94 kcal/mol) to glucose‘s (GLC), which is -8.15 kcal/mol. Meanwhile, Ethyl (2R)-2-[[3-[2-[(4-methylbenzoyl) amino]ethyl]-[1,2,4]triazolo[4,3-b]pyridazin-6-yl]sulfanyl]butanoate (Ethyl 2(R)), a compound which is the analogue of ((22E, 24R)-6β-methoxyergosta-7, 9(11), 22-triene-3β,5α-diol) or compound 2 from Ganoderma sinense obtained from ligand-based screening was also docked into the binding site of HK2, showing a binding affinity score of -8.43 kcal/mol. Both docking was conducted by using AutoDock4 software at virtual screening phase. These compounds were further analysed in an inhibition assay to determine the effects of these potential naturally-derived inhibitors on the activity of HK2. The outcome from the inhibition studies showed that both compounds exhibited substantial inhibition on the activity of HK2 enzyme, where Daidzin, at 0.5 mM, resulted in HK2 remaining activity of 87.28%, while Ethyl (2R) resulted in 70.09% of HK2 remaining activity at 0.5 mM concentration. The results also indicate that as the concentration of these compounds increased, the percentage of remaining enzyme activity decreased. In conclusion, this study has served as a platform for the development of anti-dengue drugs based on naturally-derived compounds, which is anticipated to be a safer option for dengue treatment.
Sweet basil (Ocimum basilicum L.) is a very important food additive as well as for its therapeutic and cosmetic potential. The composition of essential oils in plants is affected by genetics and environmental conditions, which is determined by growth region and harvesting time in terms of ontogenetical variability. This study was carried out to assess the effect of plant ontogeny (pre-flowering, at flowering, fruiting) on essential oil content and chemical constituents for four sweet basil cultivated under irrigation conditions in the experimental farm of the National Oilseed Processing Research Institute (NOPRI), University of Gezira, Sudan. The essential oils were hydro-distilled from the leaves using Clevenger apparatus and the chemical constituents were determined by GC-MS. The results reveal that the essential oil yield content ranged from 0.1% to 0.2% at pre-flowering stage, whereas the oil content obtained at post-flowering stage was 0.1% for the investigated accessions. The highest essential oil content was recorded at flowering stage (0.2-0.5%), where the two Sudanese accessions had the maximum content (0.5%). The major chemical constituents, linalool, citral, methyleugenol, and eucalyptol reported at different developmental stages, punctuated between 5.73% and 32.93% in the four investigated accessions.
Boron has been classified as a drinking water pollutant in many countries. It is harmful to many plants, exceptionally sensible plants, and human health. Therefore, boron level needs to be decreased to 0.3 mg/L for drinking water and within 0.5 mg/L to 1 mg/L for irrigation water. In this study, various operational parameters namely pH, contact time and liquid/solid ratio were investigated to determine the potential of using date seed (or date pit or date stone) to remove boron from seawater. This study's main objective was to determine boron adsorption capacities of date seeds prepared by various methods (i.e., powdered, activated, acid-treated and defatted seed) by batch adsorption process using boron contaminated synthetic seawater. The process parameters of the selected biosorbent among the four date seed preparations methods were optimized. The surface characteristics were analyzed by using Fourier Transform Infrared Spectroscopy (FTIR) and Scanning Electron Microscope (SEM). The results showed that acid-treated date seed was the best biosorbent in terms of removing 89.18% boron from aqueous solution at neutral pH, liquid to solid ratio of 5 within 2 hours of reaction time at room temperature (25°C±2°C).
Uninfected agarwood branch is readily available as raw material in agarwood plantation as new practices of agarwood plantation scheme were opted as substitute to the endangered wild type agarwood. The uninfected branch can be easily obtained during pruning process (one of plantation’s common maintenance procedure), throughout the years before inoculation stage. This current study aimed to investigate the optimal extraction process conditions of agarwood branch using ethanol as solvent system for maximal yield, and assess its cytotoxic effects towards MCF-7 breast cancer cells. Uninfected branch of Aquilaria subintegra was subjected to One Factor at a Time (OFAT) and Response Surface Methodology (RSM)-guided ethanolic extraction to achieve maximal yield. The extract was then subjected to cytotoxicity, cell attachment and cell viability assays, respectively. Optimization Run 2 (temperature 45 °C, solid-liquid ratio of 1:30, 16 hours maceration) gave the highest agarwood branch ethanolic extract (ABEE) yield of 44.70 ± 18.9 mg/g dried material (DM). Meanwhile Run 7 (temperature 45 °C, solid-liquid ratio of 1:10, 16 hours of maceration) gave the lowest yield (19.34 ± 14.1 mg/g DM). However, while maintaining the 16 hour-maceration, the model predicted a slightly lower yield of 30.232 ± 0.266 mg/g DM of ABEE with process conditions of 45 °C and solid-liquid ratio of 1:19 when the desirable parameters were factored in namely using (ⅰ) the most suitable temperature (that does not risk the bioactivities of the extract), and (ⅱ) an economical volume of solvent. Crude ABEE obtained from the optimal process conditions resulted in cytotoxicity effects on MCF-7 breast cancer cells with IC50 estimate of 3.645 ± 0.099 μg/mL. The extract also affected MCF-7 cell attachment and viability with altered morphology. More work to elucidate the mechanism of actions of the extract are warranted; which could further lead to development of breast cancer natural product-based therapeutics.
Biocatalyst should have sufficient and efficient activity for the intended
biotechnological application. In the quest for novel biocatalyst, there is a need to have a
genetic diversity either by finding it within the astronomically large number of possible
candidates or to obtain it by bioengineering an existing gene supported by various
bioinformatic and molecular engineering tools. Nowadays, it is well-known that a huge
number of microorganisms is unculturable and poses great challenges to access biocatalysts
from these microbes. Metagenomics is one of the methods widely applied to reach out
maximum possible variants to “bioprospect” biocatalysts. On the other hand, other approaches
are available to bioengineer enzymes by modifying the DNA sequence precisely based on the
structure and the function information of the protein in the case of rational design, or by a
brave creation of anarchic mutations of the DNA sequence with directed evolution method. In
this regard, both approaches, whether to bioprospect or to bioengineer biocatalysts have
advantages and disadvantages which will be discussed in this paper.KEY WORDS: Sugar
industry wastewater; aluminium sulphate; primary treatment, ferric chloride; polyaluminium
chloride
sugar industry is one of the industries that produce a high amount of
pollutant since its wastewater contains high amount of organic material, biochemical
oxygen demand (bod) and chemical oxygen demand (cod). if this waste is
discharged without a proper treatment into the watercourse, it can cause problem to aquatic
life and environment. for the primary treatment process, sugar wastewater can be treated
by using chemical precipitation method which involves coagulation process. currently,
ferric chloride has been used as the coagulant but it consumes more alkalinity and
corrosive. in this study, the suitable coagulant to be used to treat the wastewater from sugar
industry and the optimum conditions to achieve high percentage removal of cod was
determined. the characteristic of the wastewater was firstly determined. then, the most
suitable coagulant to be used for the treatment was studied by determining their efficiency
to reduce cod and tss in the wastewater at different dosages. aluminium sulphate
(alum), ferric chloride and polyaluminium chloride (pac) were chosen to be studied for
suitable coagulant. The optimum condition of the coagulant (ph, coagulant dosage, fast
mixing speed) was determined by using design expert software. results showed that alum
can be used to effectively remove 42.9% of cod and 100% of tss at high dosage (50
mg/l). the optimum condition of alum was at ph 5.2, 10 mg/l of alum and 250 rpm of
mixing speed. this shows that at optimum condition, alum can be used to treat wastewater
from sugar industry.
Biogas is an economical and environmentally friendly renewable energy which can be produced by anaerobic digestion (AD). This biochemical method converts organic compounds (mainly from wastes) into a sustainable source of energy. Anaerobic co-digestion (AcoD) is a method combining more than one substrate to resolve the difficulties faced in a single substrate AD system. Solid wastes increases as the population increase so do the urbanization and industrial industries. Food waste and sewage sludge are examples of one of the solid wastes. Co-digesting of both substrates may improve process stabilization to increase biogas production and overcome the nutrients imbalance. Thus, anaerobic co-digestion has been recognized as a technology that could provide a clean renewable energy source and helps reduce the landfill problem. The objective of this paper is to investigate the recent achievements and perspectives on the interaction of co-digestion between food waste and sewage sludge to improve biogas production. This may provide valuable information on the optimization of combinations of substrates: food waste and sewage sludge and prediction of bioreactor performance.
Sg. Papar is one of the rivers in Kota Kinabalu which is mainly used for water supply especially in Papar district. For the past years, many pollution cases concerning Sg. Papar have been reported which originated from various sources including pig farm, agricultural run-off and deforestation. These resulted in a frequent shutdown of the water treatment plants in Papar district leading to water supply disturbance and water supply deficiency in the affected area. The data utilized in this study were obtained from water quality tests performed on river water samples taken from Limbahau water treatment plant recorded from September 2013 to September 2016. Principal Component Analysis (PCA) was used in this study to analyze and correlate the physicochemical parameters with the water treatment plant shutdown. The results revealed that eight parameters (pH, alum, nitrate, TDS, DO, conductivity, colour and chloride) analysed in this study correlate with each other and the parameter that mostly caused the drastic change in the river water and as pollution index is turbidity. This study is critical for understanding the relationship between the water quality paramters and environmental issues.
Curcuma longa L. uses widely as a traditional medicine especially in India and China for the treatment of diabetic wounds, inflammatory, hepatic, and digestive disorders. These effects lead to the research of this plant for the treatment of chronic diseases. To assess the tumour inhibition effect of curcumin in animal models by integrating various studies into a systematic literature review (SLR) and meta-analysis. Studies of curcumin treatment in tumor-induced animal models were searched in electronic databases. The assessment of the quality of the studies included and the tumor inhibition effect used SYRCLE’s Risk of Bias tool and Review Manager (The Cochrane Collaboration) software. From the 732 articles identified, only 11 studies met the selection criteria and included in the analysis. Curcumin significantly inhibited the tumor volume in the animal models in overall, and the subgroup analyses revealed that high dose, long-duration curcumin treatment, and intervention by injection have a more significant effect compared to the opposite group. Curcumin was effective in inhibiting tumor volume in animal models. The study quality and heterogeneity of the meta-analysis can probably be improved if a larger-scale bases of animal models and a well-designed study were available
Sulfur has been highly sought by many industries everywhere around the world for various applications. This exceptionally useful element has been largely manufactured especially in powder form each year reflecting its increase in demand in line with technological advancement and uses for various product applications. The manufacturing processes include mining as well as chemical reactions in Claus Process. Rubber industries normally use abundance of sulfur in their latex compound to introduce vulcanization. The geneal concern of sulfur for rubber vulcanization is dispersibility in the rubber matrix due to improper optimization of its preparation process prior to latex compounding. Another crucial issue is crystallization of soluble sulfur from its insoluble origin, either during or post-rubber vulcanization that constitutes to formation of sulfur bloom that grows on the surface of the rubber articles. It is known that both issues are related to the process conditions and compounding recipe that could not be fully solved. Various studies have been conducted to minimize such occurences – from process optimization to sulfur chemistry itself – and of continuous improvement and innovation to solve various threats in sulfur applications. This paper reviews on detailed description on elemental sulfur, of respective industrial applications, and most importantly highlights on sulfur trends and issues normally encountered.
This paper addresses the treatment of waste engine oils (WEO) by acid/clay refining method using glacial acetic acid. An optimization of the process parameters in terms of settling time, stirring speed and mixing temperature for treating the WEO was performed using Response Surface Methodology to improve the quality of treated lubricating oil. The quality of the treated WEO (Castrol brand) was evaluated in terms of viscosity index and flash point value. The treated fuel quality is found to have about 95% similarity to the fresh oil used as a standard at the settling time of 24 hours, temperature of 50 °C and mixing speed of 150 rpm. Analysis of variances (ANOVA) showed that settling time plays the most significant parameters of the process followed by the mixing temperature. Solid contaminants which were collected after the treatment were analyzed using SEM-EDS. They contained rough heteregenous shaped particles with elements such as carbon (97%), calcium (1.12%), zinc (0.74%), sulphur (0.73%) and phosphorus (0.29%). Then, four different brands of WEO (Liqui Moly, Castrol, Shell and Pennzoil) were treated at the optimized conditions to determine the feasibility of the method to treat any brands of WEO. It can be concluded that the optimized treatement method is suitable to treat most of WEO. The findings of this study provide the information on the best process condition for treating WEO as well as the solid contaminants present in it.
Lead contamination present in wastewater is one of the major problems due to its toxicity and persistence. This issue increased dramatically and led to the environmental and health concerns worldwide. Therefore, this study aims to remove lead from synthetic wastewater effluent by adsorption process. In this study, nanomaterial called graphene oxide (GO) is used as an adsorbent due to its mechanical strength and high surface area. The parameters were optimized using Fractional factorial design under response surface method. GO demonstrates high adsorption capacity, qmax = 500 mg/g at 100 mg/L of initial lead concentration and at optimum pH 9. Adsorption isotherm of lead was also investigated to evaluate the adsorption capacity. The equilibrium data of graphene oxide adsorption was better represented by the Langmuir isotherm and was achieved within 60 minutes. The results showed that GO has potential to be an important adsorbent for lead removal. In the future, GO might be imbedded as adsorbent in the membrane fabrication for wastewater treatment.
Patches has recently emerged and attracting more attention for its versatility in many areas such as cosmetic, pharmaceutical and medical. Patches can either be used to administer selected drug to skin or deliver some beneficial ingredients for cosmetic purposes. With that, as polymer is used as the matrix for patches, the polymer selected must be non-toxic, have adhesive property and non-irritative to the skin. Currently, synthetic polymer had been used as the matrix. However, as time passes, people are more concern with the environment, therefore biopolymer is chosen over synthetic polymer as they are degradable and also safe to use. Nowadays, as consumers are demanding for a more effective product that is not only good for appearance but also the health of the skin, studies had been done on many kinds of active ingredient that will give the best effect to the skin. Thus in this paper, patches made up of different combinations of polymer and active ingredients, as well as fabrication method currently used to produce patches will be discussed.
Effective treatment of wastewater is crucial in order to achieve a sustainable development. For instance, highly efficient treatment processes with low capital requirements are the major prerequisite for implementation of the advanced wastewater treatment operations. Among various available treatment methods, the application of coagulation-flocculation process by using natural coagulant; chitosan has vast advantages such as low operating cost, environmental friendly and highly effective in the wastewater treatment operations. The application of nanotechnology in numerous treatment techniques are considered as the most significant advances in water and wastewater treatment practices. The utilization of magnesium oxide (MgO) as nano-adsorbent has recently gained attention as a potential treatment method in water remediation particularly for treating effluents with high amount of organic dyes and heavy metals due to its high treatment efficiency, low cost, versatility and environment compatibility. The purpose of this study was to determine the effectiveness of coagulation-flocculation process when using novel coagulant in which MgO coated with chitosan by investigating the percentage removal of several significant parameters which were turbidity, chemical oxygen demand (COD) and suspended solid. The removal efficiencies were determined throughout a series of experiments carried out using a standard jar test procedure in which three different coagulants; chitosan, MgO coated with chitosan and MgO were tested on water samples taken from Sg. Pusu. In addition, a set of experiments was designed using response surface methodology (RSM) in order to optimize adsorption of chitosan into MgO. The experiments were conducted at various concentrations of chitosan (10-30 mg/ml) and selected MgO dosage ranges (10-30 mg). From the obtained results, it was found that chitosan-MgO coagulant has good removal efficiencies of turbidity, chemical oxygen demand (COD) and suspended solids at 92%, 91%, and 98% respectively from the optimization of adsorption of chitosan-MgO. The MgO coated with chitosan is the best coagulant in this study compared to chitosan and MgO alone because of the ability of treating the river water with up to 90 % removal for all the main parameters. The results showed that coagulation-flocculation is effective as a treatment for treating river water.