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Immersion Behavior Study of Hydroxyapatite Scaffolds Derived from Bovine Sources In Acidic, Basic, and Neutral Solutions

This research investigates the effects of particle size and compaction pressure on the dissolution behavior of hydroxyapatite scaffolds synthesized from bovine bone in acidic neutral and basic solutions. Hydroxyapatite was extracted through a process involving cutting, cleaning, boiling, soaking in NaOH, sun drying, grinding into powder and calcination at 800°C. The powder was then sieved into two size fractions (75 and 150 microns) and compacted at pressures of 200, 250, and 300 MPa. The mass and dimensions of the scaffolds were measured to calculate porosity, followed by immersion in the respective solutions for 24 hours to determine dissolution rates. Results indicated that smaller particle sizes and higher compaction pressures resulted in reduced porosity and enhanced structural integrity. The dissolution rates varied significantly with pH levels, exhibiting the highest rates in acidic conditions up to 215.83 mg/cm2 and the lowest in basic solutions up to 11.32 mg/cm2. Additionally, scaffolds with smaller particles and higher compaction pressures demonstrated lower dissolution rates across all pH levels due to lower porosity. In conclusion, both particle size and compaction pressure are critical factors influencing the dissolution behavior of hydroxyapatite scaffolds. These findings have significant implications for the design and optimization of hydroxyapatite-based materials for biomedical applications, where controlled dissolution rates are crucial for performance and longevity.

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Predictive Model Control and Intelligent Agent are Used To Optimize The Precision Control of an Electro-Pneumatic Actuator-Based Robotic Bottle Capper

The inferior corking performance observed in bottled drinks from breweries is attributed to poor precision. To address this issue, an enhanced precision control system for an electro-pneumatic actuator-based bottle capper is introduced, utilizing model predictive control and intelligent agent technologies. This involves characterizing the electro-pneumatic actuator system, developing a conventional model for the robotic bottle capper, and designing a rule base to improve precision in the capping mechanism, thereby boosting production capacity per unit time. To achieve this, AI is trained to design a rule-based model ensuring optimal efficacy of the capping mechanism, thus enhancing the brewery industry's production capacity and revenue generation. A SIMULINK model is developed to demonstrate the improved precision control of the electro-pneumatic actuator robotic bottle capper using model predictive control and intelligent agent. Results show a significant increase in corking precision from 94.4% with conventional methods to 99.9% when intelligent agents are incorporated into the system. This translates to a 5.5% improvement in corking precision, with production capacity increasing from 27,000 crates using conventional methods to 28,570 with model predictive control. Moreover, with the integration of intelligence, the production capacity further rises to 342,500 bottles.

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Utilization of Moringa Seed Powder (Moringa Oleifera) as a Natural Coagulant for Reducing Pollution Parameters in Tofu Wastewater

The wastewater generated from the tofu industry often contains elevated levels of COD and TSS pollutants. One effective method for treating this wastewater is through the coagulation-flocculation process. Moringa seeds, recognized as a biomass with natural coagulant properties, contain a bioactive compound known as 4αL-rhamnosyloxy-benzyl-isothiocyanate, capable of adsorbing particles present in wastewater. The objective of this study is to assess the efficiency of reducing pollutant parameters (COD, TSS, and Turbidity) in wastewater from the tofu industry by utilizing Moringa seeds as a natural coagulant. The research was conducted using a jar test apparatus with coagulation stirring at 100 rpm and flocculation at 40 rpm for 12 minutes. The study involved varying coagulant doses (2, 3, 4, 5, and 6 g/L of tofu wastewater) and coagulation stirring times (1, 3, and 5 minutes). Based on the results obtained, the optimal stirring duration and dose, as well as the efficiency of reducing each pollutant parameter, were determined. For COD, the optimal conditions were found to be 3 minutes stirring time with a dose of 4 g/L, resulting in an efficiency of 64.88%. Similarly, for TSS parameters, the optimum conditions were achieved with 3 minutes of stirring time and a dose of 4 g/L, yielding an efficiency of 52.71%. Lastly, for turbidity, the most effective conditions were observed with 3 minutes of stirring time and a dose of 4 g/L, with an efficiency of 58.85%.

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The Effect of Addition of Onggok as a Mixed Material in the Making of Complete Feed Silage on the Digestibility of BK, BO and NH3 production In-Vitro

Onggok adalah hasil limbah tapioka dengan kadar protein dan lemak kasar rendah namun memiliki kadar karbohidratnya tinggi. Onggok sendiri merupakan hasil samping dari industri pembuatan tepung tapioka yang berasal dari ubi kayu atau singkong. Penelitian ini berfokus pada pengaruh penambahan level onggok sebagai bahan campuran dalam pembuatan silase pakan lengkap terhadap kecernaan BK, BO dan produksi NH3 secara In-Vitro. Penelitian ini bertujuan untuk mengetahui nilai kandungan kecernaan bahan kering (KcBK), kecernaan bahan organik (KcBO) dan nilai NH3 dalam pembuatan pakan lengkap dengan penambahan level onggok sebagai bahan campuran dalam pembuatan silase secara in vitro. Metode yang digunakan adalah percobaan dengan RAK (Rancangan Acak Kelompok) yang terdiri dari 4 perlakuan dan 3 ulangan. Data yang diperoleh akan dianalisi menggunakan ANOVA untuk mengetahui dan mengevaluasi pengaruh perlukaan yang digunakan dan apabila hasil terdapat perbedaan akan dianalisis lanjutan menggunakan Duncan. Hasil penelitian menunjukkan bahwa dengan perlakuan menggunakan penambahan level onggok tidak memberikan pengaruh yang nyata (P>0,05) pada kecernaan bahan kering, kecernaan bahan organik dan NH3. Hasil rataan Kecernaan bahan kering (KcBK) berturut-turut pada P0 atau perlakuan tanpa pemberian onggok mencapai 50,93%. Sedangkan KcBK setelah penambahan onggok direpresentasikan dengan perlakuan P1, P2, dan P3 dengan besar kecernaan bahan kering secara berurutan adalah 51,66; 52,55; dan 53,64%. Hasil rataan NH3 berturut-turut adalah 3,61d ± 0,26 mM untuk P0; 3,44c ± 0,20 mM untuk P1; 3,33b ± 0,13 mM untuk P2; dan 3,22a ± 0,14 mM untuk P3.

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Influence of Zinc Nitrate Tetrahydrate and PLA/Cu2O Film on ZnO Nanorods Nanogenerator Performance

ZnO nanorods are a 1-D material that can be used as a triboelectric nanogenerator application to harvest energy from the surrounding environment. This research aims to analyze the effect of the ratio of Zinc Nitrate Tetrahydrate and PLA/Cu2O Film on the morphology, crystal phase and electrical properties of the ZnO Nanorods Nanogenerator. ZnO nanorods were grown on stainless steel substrates using a hydrothermal method. Growth was carried out at a temperature of 100oC for 4 hours with varying concentrations of zinc nitrate tetrahydrate of 40 mM, 50 mM, 60 mM, and 70 mM with a fixed concentration of 40 mM hexamethylenetetramine. The XRD test results of ZnO nanorods obtained a hexagonal wurzite crystal structure with lattice parameters a = b = 3.2446 Å and c = 5.1987 Å. The diameter and length of the ZnO nanorods as a result of SEM characterization are 91.66 nm and 563.8 nm in a sample ratio of 1:1; 76.87 nm and 263.3 nm on a sample ratio of 1.25:1; 87.16 nm and 616.16 nm on a sample ratio of 1.5:1; 73.19 nm and 706.9 nm on a sample ratio of 1.75:1. The results of current and voltage measurements on trielectric nanogenerator devices based on ZnO nanorods and PAN polymer were respectively 4.4 µA, 3.8 V; 26.8 µA, 23.3 V; 8.9 µA. 11.9V; and 9.7 µA, 14.7 V. The results show that the smaller the diameter of the ZnO nanorods, the better the efficiency of the resulting nanogenerator.

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