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.
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.
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.
A therapeutic approach for treating diabetes is to decrease thepost-prandial hyperglycaemia. This is done by retarding the absorption of glucose through the inhibition of carbohydrate hydrolyzing enzymes, α-amylaseand α-glucosidase, in the digestive tract. Inhibition of both enzymes helpsto reduce the glucose level in the blood of a diabetic patient. This study was aimed to investigate the production of α-glucosidase and α-amylase inhibitors from local fruit wastes (honeydew skin, banana peel, and pineapple skin) using solid state fermentation. Each of the fruit wastes was fermented with three different types of white rot fungus Phenarochaete chrysosporium(PC), Panus tigrinusM609RQY(M6) andRO209RQY(RO2)for 7 days. Sampling was carried out starting from day 4 to day 7 to determine the enzyme inhibition activity. The samples were extracted using water prior to enzyme analysis. Most of the fruit samples showed varying degree of percentage inhibition activity depending on the sampling time. Extract of fermented banana peels with RO2 on day 4 showed the higherα-glucosidase inhibition (56.57±0.32%), followed byhoneydew extract fermented with the same fungus on the same day (39.68±0.05%). Extracts of each fruit wastesample fermented with PCshowed the least α-glucosidase inhibition (below 15%). Meanwhile for α-amylase inhibition activity, the extract from fermented honeydew skins with PCon day7 showed the highest inhibition activity i.e.98.29±0.63%. The least inhibition activity (43.37±0.54%) was observed in the extract from honeydew skins fermented withM6 on day 5. All positive resultsshowed that fruit wastes could be the alternative sourcesfor antidiabetic agent especially for α-amylase and α-glucosidase inhibitors.
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
The utilization of agroindustry wastes such as sugarcane bagasse (SCB) for
cellulase production could help to reduce the problem of lignocellulosic wastes. Thus, this
study aimed to use the sugarcane bagasse as a substrate in the production of fungal
cellulases via solid-state fermentation of Aspergillus niger. The variables of solid-state
fermentation condition of A. niger such as sugarcane bagasse particle size (400 and 600
µm), inoculum size (2% (v/v) and 5% (v/v), medium pH (5 and 7), and fermentation time (5
and 15 days) were screened using two-level factorial design (Design expert software, StatEase Inc., Version 8.0). Filter paper activity (FPA) was determined to quantify the
produced enzymes activity. The observation on the structure and physicochemical changes
of SCB before and after SSF using scanning electron microscopy (SEM) and optical
microscope was also conducted. Analysis of variance (ANOVA) shows that the significant
parameters of SSF that affected the cellulose production were particle size of SCB and
inoculum size–pH interaction.
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.
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.
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.
: Studies on bacterial growth pattern from the conventional approach are defective due
to their failure to explain the interactions or simply the complementary effects of the factors
influencing the bacterial growth. In this study, the individual and collaborative effects of
Pseudomonas putida growth variables were evaluated using a 2-level fractional factorial design of
experiment (FFDOE). The growth of the organism was found to respond remarkably to different
concentrations of nutrient media (carbon source) and the other independent variables. Factorial
models were developed from the experimental design to study the individual and interactive effects
of the studied parameters on the response. The studied parameters and their levels were as follows:
nutrient concentration (4-16 g/L), acclimatization time (24-72 hrs), agitation (140-200 rpm), and
temperature (30-40oC). These parameters were statistically validated using analysis of variance
(ANOVA) and the results revealed that the model terms were statistically significant with an Fvalue of 415.17 at P temperature > nutrient concentration versus temperature >
agitation > nutrient concentration versus agitation. Based on the R
2
and the adjusted R
2
values of
>95%, the estimated variables showed a high degree of relationship between the observed and the
predicted values; thus, the predictive ability of the models was suggested. It could, therefore, be
concluded that nutrient concentration, temperature, and agitation can greatly influence the growth
of P. putida within a specific range.
Citric acid (CA) has a high demand due to its various uses in the food and pharmaceutical industries. However, the natural supply of CA is minimal compared to its growing industrial demand. The increasing demand for CA can be fulfilled by using biotechnological processes. This study utilized liquid state bioconversion by Aspergillus niger for CA production using sugarcane molasses as the primary substrate. Sugarcane molasses which is agricultural waste consists of significant proportion of organic matters such as lipids and carbohydrates. This makes sugarcane molasses as a potential and alternative source of producing CA at a lower cost. In this study, statistical optimization was applied to improve CA production using submerged fermentation in shake flasks. Aspergillus niger was cultured in potato dextrose agar. Then, inoculum spores were introduced into the fermentation media for a specific duration according to the experimental design from Central Composite Design (CCD) tool under Response Surface Methodology (RSM) in Design Expert 6.0 software. Three parameters were chosen to be optimized at 32⁰C i.e.agitation rate (160, 80, 200 rpm), substrate concentration (47, 60, 73%) and fermentation time (24, 72, 120 h). High Performance Liquid Chromatography (HPLC)and Fourier-transform infrared spectroscopy(FTIR) analyses were conducted to measure CA yield. The optimization study showed that the media incubated for 72 hours with a substrate concentration of 60% and an agitation speed of 180 rpm produced the highest CA yield(21.2 g/L).The analysis of variance (ANOVA) also showed that CCD quadratic model was significant with P-value< 0.0104 and R2is0.8964.
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.
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.
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).
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).
This study was conducted to evaluate the effect of dietary cottonseed oil (CSO) at
different levels on broiler chickens. Dietary CSO was tested for energy supplementation values in
poultry at levels 0, 3, 6 and 9% utilizing isonitrogenous (22.5% CP), semi-isocaloric (3100 Kcal/kg)
rations and run in the experiment. Ninety-six seven-day old unsexed Ross-308 broiler chicks with
an initial weight of 72.9 g were used for each experiment in a completely randomized design
(4x4x6). Chicks were fed for 42 days. Supplementation with the oils improved performance
(p>0.05) but CSO gave significant (p
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.
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.
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.
Citrus is one of the major commodities in many countries including Malaysia.
However, production of citrus including Citrus suhuiensis (C. suhuiensis) is declining due to
diseases and inability to withstand low temperatures. Plant cultures such as cell suspension have the
potential in propagating disease-free and healthy Citrus fruits with value-added characteristics.
However, studies related to C. suhuiensis is still scarce. Therefore, the growth kinetics of C.
suhuiensis cell suspension culture was studied. Friable callus of C. suhuiensis which was induced
from seeds was inoculated into MS medium with 30 g/L sucrose, 0.5 g/L malt extract and 2.0 mg/L
2, 4-D for the cell suspension initiation. Several batch experiments using a few types of sugars
(sucrose, glucose and fructose) were carried out. The cell dry weight (CDW) of C. suhuiensis was
recorded for 30 days of culture period and residual sugars in the medium were analyzed using
HPLC. Cells grown in 30 g/L sucrose achieved the highest CDW (9.559 g/L) with µmax equals to
0.00512/h, compared to glucose and fructose. In addition, sucrose is the preferred carbon source
with the highest uptake rate (0.213 g/L·h). Cells completely hydrolyzed sucrose into glucose and
fructose after 5 days of inoculation. All sugars were completely utilized by C. suhuiensis cells after
25 days. The kinetic growth parameters determined from batch experiments were then used for
model simulation and verification in MATHCAD 15. After adjustments and refinement to the
selected kinetic parameters, the model has fairly described and predicted the growth and sugars
profile of C. suhuiensis cells. The proposed model can be used to predict sucrose hydrolysis, glucose
and fructose formation from sucrose and their consumption by plant cells and also for larger scale
of growth.