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All Journal Reaktor Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Journal of Engineering and Technological Sciences Jurnal Teknik JURNAL ANALIS LABORATORIUM MEDIK Jurnal Teknik Kimia Indonesia JURNAL KIMIA SAINTEK DAN PENDIDIKAN
Z Zulfansyah
Jurusan Teknik Kimia Universitas Riau
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology

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Journal : Reaktor

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MODELING, VARIABLES INFLUENCE AND OPTIMIZATION USING RESPONSE SURFACE METHOD – CENTRAL COMPOSITE DESIGN (RSM-CCD) ON THE SODIUM LIGNOSULFONATE PRODUCTION FROM Amun Amri; Zulfansyah Zulfansyah; M. Iwan Fermi; Is Sulistyati; Ani Suryani; Erliza Hambali
Reaktor Volume 12, Nomor 3, Juni 2009
Publisher : Dept. of Chemical Engineering, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (291.811 KB) | DOI: 10.14710/reaktor.12.3.183 – 188

Abstract

The sodium lignosulfonate (SLS) is a derivative compound from lignin which has various usefulness. Commercial SLS is a by-product of Arbiso pulping sulfite industry, but nowadays, the amount of available commercial SLS is scare due to the expensive price of SLS. Therefore, it is needed to find the solution to produce of SLS using a feasible process. This research involves producing SLS by directly cooking the palm oil stem biomass dust in a pressurized reactor using sodium bi-sulfite (NaHSO3) solvent. The experiment focused on the modeling, influence of process variables and its optimization that statistically analyze using the Response Surface Method-Central Composite Design (RSM-CCD). The result showed that the solid-liquid ratio is the most affecting factor to the SLS rendemen. The relation between rendemen and temperature (T), pH (C) and solid-liquid ratio (R) can be modeled as % rendemen = 12.18 + 0.52T – 0.48C + 3.5R – 1.02T2 – C2 – 1.53R2. The optimal operation conditions were identified at temperature of 153.8oC, pH = 4.64 and solid-liquid ratio of 1:15.9.
Co-Authors Ahria Maulisa Amun Amri Ani Suryani Ari Hidayat Chairul, Chairul David Andrio Desi Heltina Desi Ivo Andri Ari Dimas DP Nugroho Dita Nurhalimah Dizikri, Dizikri Edi Susanto Eko Karmiza Erliza Hambali Erwan Handoko Febryanto Febryanto Gabriella Carissa Putihardjo H Hermanto Hari Rionaldo Hari Rionaldo Hari Rionaldo Hari Rionaldo Hasudungan, Janso Indra Hidayatul Mubarah Is Sulistyati Janso Hasudungan M. Iwan Fermi Maria Peratenta Sembiring Mazlani Mazlani Mazlani Mazlani Meilany Sri Utami Mitrodono H L Gaol Muhammad S. A. Aziz Nurhayati Nurhayati Rafi, M Khaidiz Randi Sanjaya Randi Sanjaya, Randi Retna Julita Rio Nanda Novendra Romy Romy Samsu Rizal Saparullah, Zulkarnaen Septiani Adeka Sherly Oktarizona, Shinta Anggraini Sri Helianty Sri Wahdini Rahmi Syahputra, Dede Ulima, Riris Wahyu Syahputra Warman Fatra, Warman Wenny Susanty Zuchra Helwani Zuchra Helwani, Zuchra