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Chemical Structure of Mangrove Species Rhizophora stylosa as Natural Dyes Paryanto, Paryanto; Pranolo, Sunu Herwi; Susanti, Ari Diana; Dewi, Kristina Ratna; Rossari, Meydiana
METANA Vol 16, No 1 (2020): Juni 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (421.973 KB) | DOI: 10.14710/metana.v16i1.30417

Abstract

Textile dyes are divided into two types, natural dyes and synthetic dyes. Natural dyes commonly made from extraction. Extraction is a process in which one or more components are separated selectively from a liquid or solid mixture, the feed, by means of a liquid immiscible solvent. Extraction can be classified into two group, liquid extraction and solid-liquid extraction. Solvents that are usually used in the extraction of natural dyes are aquades and ethanol. The purpose of this research was to determine the chemical structure, especially tannin in natural dyes from mangrove species Rhizophora stylosa through several samples testing natural dyes. Rhizophora stylosa that have been extracted and evaporated will conducted several tests to obtain chemical structures in natural dyes and yield of tannin in natural dyes. Tests carried out include testing FT-IR, and HPLC. Based on FT-IR analysis, the extraction of Rhizophora stylosa containing tannin indicated by the presence of hydroxyl (O-H) in the area of 3385.36 cm-1, aromatic (C-H) in the area of 1365.53 cm-1, carbonyl (C=O) in the area 1646.36 cm-1, esters (C-O) in the area 1217.30 cm-1. While tannin content obtained from the analysis of HPLC were 6.087 ppm. 
Thermodynamic Study of Palm Kernel Shell Gasification for Aggregate Heating in an Asphalt Mixing Plant Putro, Firman Asto; Pranolo, Sunu Herwi; Waluyo, Joko; Setyawan, Ary
International Journal of Renewable Energy Development Vol 9, No 2 (2020): July 2020
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.9.2.311-317

Abstract

This study evaluated thermodynamically the performance of conversion of palm kernel shells into combustible gas through gasification technology for aggregate heating in a hot-mixed asphalt production plant by developing a thermodynamic model using licensed Aspen Plus v.11 software. The effects of the equivalence ratio (ER) in the gasification process and the amount of combustion air to combustible gas to attain the required aggregate temperature were investigated. The thermodynamic model showed a good agreement with the experimental results based H2 and CO contain in producer gas which provided by maximum root mean square errors value of 8.82 and 6.42 respectively. Gasification of 30–35 kg of palm kernel shells in a fixed-bed gasifier reactor using air as a gasifying agent at an ER of 0.325–0.350 generated gaseous fuel for heating 1 ton of aggregate to a temperature of 180–200°C with combustion excess air 10%–20%. 
Application of Nanocrystal Cellulose Based on Empty Palm Oil Fruit Bunch as Glucose Biosensing Pranolo, Sunu Herwi; Waluyo, Joko; Ikbar, Royhan; Damayanthy, Ramanda Ayu; Lestary, Septy; Qadarusman, Muhammad Luqman
ASEAN Journal of Chemical Engineering Vol 23, No 3 (2023)
Publisher : Department of Chemical Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ajche.83422

Abstract

Abstract. Biosensors for glucose sensing purposes are important since diabetes is a worldwide disease. One of the components of glucose biosensors is cellulose nanocrystals (CNCs). CNCs are cellulose derivatives that could be extracted from oil palm empty fruit bunch (OPEFB). Indonesia has a high potential for OPEFB due to its abundance of resources. CNCs have poor conductivity as biosensors, so adding supporting electro-conductor components such as graphene and carbon nanotubes (G-CNT) is necessary. In this research, the amount of bleaching agent of H2O2 in CNCs extraction varies between 1.5% and 10%, and the portion of CNCs in the composite varies between 5%, 15%, and 30%. The purpose of this research is to create an optimum biosensor composite based on its CNCs quality through particle size analysis (PSA) and X-ray diffraction (XRD) tests followed by cyclic voltammetry to determine biosensor’s impedance, limit of detection (LOD), and performance stability. Fourier transform infra red (FTIR) tests are also conducted as process control. The research shows the success of delignification in CNC extraction based on FTIR. Crystallinity enhancement up to 51% as delignification using 1.5% and 10% H2O2 yields CNC with a crystallinity index of 87.1% and 94.0%. The average size of CNCs with delignification by 1.5% and 10% H2O2 are 640.0 nm and 579.8 nm, respectively. Results of testing the biosensor glucose G-CNT/CNC showed the best composition is 5% CNCs that using 10% H2O2 which the highest oxidation peak is 0.00205 A and reduction peak is -0.00223 A. Data of variance composition show the difference of the data is significant by using ANOVA SPSS Test. The biosensor has an accuracy of 83.2% in a test for diabetic urine.
Kinetic of Aerobic Decomposition Process of Linear Alkylbenzene Sulfonate (LAS) in a Well-Shaped Bioreactor Using Commercial Inoculum Margono, Margono; Pranolo, Sunu Herwi; Waluyo, Joko; Sembodo, Bregas Siswahjono Tatag; Susanti, Ari Diana; Setyono, Prabang; Dahlan, Irvan
Jurnal Rekayasa Kimia & Lingkungan Vol 19, No 1 (2024): Jurnal Rekayasa Kimia & Lingkungan (June 2024 )
Publisher : Chemical Engineering Department, Syiah Kuala University, Banda Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23955/rkl.v19i1.34317

Abstract

Linear alkylbenzene sulfonate (LAS) belongs to a class of surfactants claimed as an environmentally friendly detergent due to its biodegradability. However, the disposal of LAS waste into the waters without prior treatment causes a risk to the ecosystem. These experiments aimed to study the effects of commercial inoculum size EM-4 on the aerobic decomposition process of LAS in a well-shaped bioreactor. These experiments of LAS decomposition were carried out in a batch system aerated by 2.5 L/min for the low and high initial LAS concentrations. The effects of inoculum acclimation were also investigated for the high LAS concentration. The effects of inoculum size were explored at sizes ranging from 5 to 20% v/v, and samples were taken on a regular basis for residual LAS assessment. The first-order kinetic model gave the best fit to the rate of LAS decomposition, with the highest rate coefficient of 10.44 x 10-2 hour-1. This was achieved by using a 20% v/v inoculum for the initial low concentration of LAS, resulting in the highest decomposition efficiency of 89.4% after 24 hours of incubation. The decomposition rate was slower at the high LAS concentrations than at the low concentrations. The inoculum acclimation increased the decomposition rate for the high LAS concentrations. The results of this study show great potential for the bioremediation of LAS detergent waste using commercial inoculum in a well-shaped batch bioreactor.
Tar Removal of Palm Kernel Shell Syngas using Wet Scrubber Putro, Firman Asto; Pranolo, Sunu Herwi; Waluyo, Joko; Basworo, Agung Tri; Norman, Hafiz; Kristiani, Anis; Hidayati, Luthfiana Nurul
Jurnal Rekayasa Kimia & Lingkungan Vol 19, No 1 (2024): Jurnal Rekayasa Kimia & Lingkungan (June 2024 )
Publisher : Chemical Engineering Department, Syiah Kuala University, Banda Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23955/rkl.v19i1.33341

Abstract

In the current situation, biomass gasification has become a major interest in producing clean energy and green chemicals. By gasification, the biomass can be converted to synthetic gas (syngas) for many purposes. However, syngas with high tar content can cause pipeline fouling and disturb the operation of downstream equipment. To reduce tar content, a two-series wet scrubber was installed for syngas cleaning produced by palm kernel shell gasification. Firstly, the gasification is operated at a temperature range of 500 600oC and 700 800oC to determine the conditions where the lowest tar syngas is produced. After that, the wet scrubber is installed with a variety of solvents including isopropyl alcohol, water, used cooking oil, and used lubricating oil. The results show that the lowest tar syngas was produced at a temperature of 800oC with a tar yield of 0.165 g/kg biomass. Meanwhile, in the same condition, isopropyl alcohol delivers the most substantial impact on tar removal efficiency, whereas used lubricating oil results in less impact. The use of isopropyl alcohol resulted in 99.25% tar removal effectiveness while lubricating oil yielded just 50.32%.