Računalno predviđanje ekstrakcije ulja iz sjemenki biljke Hura crepitans

This study analyses the extraction process parameters of huracrepitan seed oil using the Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN). The experiments were conducted at temperature (60–80 °C), time (4–6 h), and solute/solvent ratio (0.05–0.10) with output parameter as oil yield. Sensitivity analysis shows that temperature and time had the most significant effect on the oil yield. The oil yield estimation performance indicators are: ANN (R2 = 0.999, MSE = 5.63192E-13), ANFIS (R2 = 0.36927, MSE = 0.42331). The results show that ANN gave a better prediction than ANFIS. This work is licensed under a Creative Commons Attribution 4.0 International License.Ovom studijom analizirani su procesni parametri ekstrakcije ulja iz sjemenki biljke Hura crepitans primjenom prilagodljivog neuroneizrazitog (neuro-fuzzy) sustava zaključivanja (ANFIS) i umjetne neuronske mreže (ANN). Pokusi su provedeni pri temperaturi 60 – 80 °C, vremenu 4 – 6 h i omjeru otopljene tvari/otapala 0,05 – 0,10 s prinosom ulja kao izlaznim parametrom. Analiza osjetljivosti pokazala je da su temperatura i vrijeme najznačajnije utjecali na prinos ulja. Pokazatelji procjene učinka prinosa ulja su: ANN (R2 = 0,999, MSE = 5,63192E-13), ANFIS (R2 = 0,36927, MSE = 0,42331). Rezultati su pokazali da je ANN dao bolje predviđanje od ANFIS-a. Ovo djelo je dano na korištenje pod licencom Creative Commons Imenovanje 4.0 međunarodna

Adsorpcija vanadija(V) iz otpadnih voda tekstilne industrije primjenom aktivnog ugljena Luffa cylindrica

This study investigated the utilisation of Luffa cylindrica activated carbon as a low-cost adsorbent in the removal of vanadium(V) from textile industry effluent in a batch adsorption experiment. The adsorption rate was studied for contact time, pH, and adsorbent dosage. The effect of pH on vanadium(V) removal was studied with 0.2 g/100 ml adsorbent dose, 10 min contact time, and textile effluent solution. The maximum removal efficiency was 99.90 % at pH 4, 97.43 % at 60 min of contact time, and 97.83 % at an adsorbent dosage of 1.0 g. The characterisation results from FTIR and SEM indicated that the adsorbents’ potential was fully exploited. In this study, the experimental findings were fitted using Langmuir and Freundlich isotherm models. Freundlich model gave a better fit of the experimental data. The kinetic data by the pseudo-second order kinetic model gave a better fit than the pseudo-first order kinetic model. This work is licensed under a Creative Commons Attribution 4.0 International License.U ovom radu istražena je primjena aktivnog ugljena Luffa cylindrica kao jeftinog adsorbenta za uklanjanje vanadija(V) iz otpadnih voda tekstilne industrije u eksperimentu šaržne adsorpcije. Stupanj adsorpcije proučavan je za vrijeme kontakta, pH i dozu adsorbenta. Učinak pH na uklanjanje vanadija(V) proučavan je s dozom adsorbenta od 0,2 g/100 ml, vremenom kontakta od 10 min i otopinom tekstilnih otpadnih voda. Maksimalna učinkovitost uklanjanja bila je 99,90 % pri pH = 4, 97,43 % pri vremenu kontakta od 60 min i 97,83 % pri dozi adsorbenta od 1,0 g. Rezultati karakterizacije FTIR-a i SEM-a pokazali su da je potencijal adsorbenata u potpunosti iskorišten. U ovom su istraživanju eksperimentalni nalazi prilagođeni Langmuirovim i Freundlichovim modelima izoterme. Freundlichov model dao je bolju prilagodbu eksperimentalnim podatcima. Kinetički podatci kinetičkog modela pseudo-drugog reda dali su bolji rezultat od kinetičkog modela pseudo-prvog reda. Ovo djelo je dano na korištenje pod licencom Creative Commons Imenovanje 4.0 međunarodna

Biological and antioxidant activities, extraction methodology and prospects of essential oil from Hyptis suaveolens (L.): A review

Conventional chemicals and synthetic inputs have been identified with numerous environmental and human health hazards. These challenges have created increase in the search for better alternatives from different sources. In this paper, essential oil was studied as a prominent alternative with high levels of microbiological and antioxidant activities, and the potential to meet the replacement needs, since they are considered eco-friendly, cheaper, safer and healthier. Essential oils (EOs) have been identified for their vital relevance and uses in many areas ranging from pharmaceutical, medicinal, food flavoring and preservation. The potency of EOs and their viability for various applications are attributed to the constituent bioactive compounds, which constitute their active agents. EOs are mainly isolated and recovered from plant substrates by adopting different methods of extraction. This study presents a critical overview of the relevant and current trends in available literature concerning extraction methods for EOs. In this study, the methods for extracting essential oils, vis-à-vis their influence on production yields, qualities, compositions and bioactivities of products were reviewed. The study focused on the perspectives and prospects of Hyptis suaveolens, a renewable resource, with a view of bringing it to the limelight as a viable biological source of essential oil. It was found that extraction methods, as well as edaphic factors and geographical locations, have significant effects on the yields, qualities and chemical compositions of the essential oils obtained. The study further revealed that essential oil from Hyptis suaveolens exhibits strong bioactivities, which serve as the basis for its use to effectively check and control pests, insects, and other pathogenic organisms and for treatment of ailments like diarrhea, and stomach disorders. Therefore, it is recommended that viable, improved methods and processes for extracting essential oil from Hyptis suaveolens be successfully developed and deployed to access its accruing potential advantages, ranging from high production yields, economic gains (low cost and low energy consumption), high product quality and low environmental impact. This is expected to create a reliable alternative biological input, with the potential to replace the conventional synthetic chemicals in current use and thereby avoid the negative side effects of synthetics on non-targeted organisms, the environment and the economy. It would also contribute immensely to better control of carbon cycle and green and sustainable technology

Melon seed oil epoxidation: Kinetics and neuro-fuzzy evaluation

Melon seed oil (MSO) is characterized by unsaturated triglycerides, making it a suitable candidate for epoxidation. This work explored the kinetic and Optimization of MSO epoxidation by the in-situ generation of peroxyacetic acid. The formation of the epoxide group was studied over the reaction time at various temperatures. With catalyst concentration, time, and temperature as the process variables and oxirane value as the response, Box Behnken design with Response Surface Methodology (RSM) was used to simulate and optimize the epoxidation process of MSO. The in situ epoxidation process obtained the highest oxirane of 3.4 and 3.45 % at 70 °C and 500 rpm with significantly less oxirane cleavage. The rate constants ranged from 0.0119 to 0.0341 lmol−1.s−1 for the temperature range of 50 to 90 °C. Thermodynamic parameters such as a change in enthalpy and entropy were calculated to be 22.21 KJ/mol and -32.744 cal.mol−1.K−1, respectively. The results of the ANOVA revealed a second-order polynomial model, with R2 values of 0.9996, Adj R2 (0.9992), and Pred R2(0.9944) of 0.9992 and 0.994, showing a high significance level between the experimental and predicted results. The 3D plots revealed that the process variables considerably impacted the oxirane value. The optimal oxirane value of 3.96348 % was obtained at a stirring speed of 597.821 rpm, a reaction time of 3.96348 h, reaction temperature of 71.7146 °C with a desirability of 1.000. Adaptive neuro-fuzzy inference system (ANFIS) optimum result with tri membership function gave an MSE of (1.99E-6), and the models demonstrated significant predictive behavior with R2 (0.9996) and (0.9653) for RSM and ANFIS, respectively. The FT-IR and physicochemical characterization of the MSO confirmed a high degree of unsaturated fatty triglycerides that were suitably epoxidized.; hence the novelty of this study dwells on the kinetics and ANFIS modeling of the MSO epoxidation process, which explains the reaction mechanism and non-linear behaviours of the epoxidation process