Modelling the Effects of Debranching and Microwave Irradiation Treatments on the Properties of High Amylose Corn Starch by Using Response Surface Methodology

2018 ◽  
Vol 13 (3) ◽  
pp. 263-273 ◽  
Author(s):  
Selime Mutlu ◽  
Kevser Kahraman ◽  
Sebnem Severcan ◽  
Serpil Öztürk
2015 ◽  
Vol 4 (4) ◽  
Author(s):  
Seyed Mohammad Safieddin Ardebili ◽  
Teymor Tavakoli Hashjin ◽  
Barat Ghobadian ◽  
Gholamhasan Najafi ◽  
Stefano Mantegna ◽  
...  

AbstractThis work investigates the effect of simultaneous ultrasound-microwave irradiation on palm oil transesterification and uncovers optimal operating conditions. Response surface methodology (RSM) has been used to analyze the influence of reaction conditions, including methanol/palm oil molar ratio, catalyst concentration, reaction temperature and irradiation time on biodiesel yield. RSM analyses indicate 136 s and 129 s as the optimal sonication and microwave irradiation times, respectively. Optimized parameters for full conversion (97.53%) are 1.09% catalyst concentration and a 7:3.1 methanol/oil molar ratio at 58.4°C. Simultaneous ultrasound-microwave irradiation dramatically accelerates the palm oil transesterification reaction. Pure biodiesel was obtained after only 2.2 min while the conventional method requires about 1 h.


Rekayasa ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 118-124
Author(s):  
Mojiono Mojiono ◽  
Diana Nurus Sholehah

Produksi jagung di Madura memberikan andil besar terhadap total produksi jagung di Jawa Timur. Di tingkat nasional, BPS menunjukkan bahwa produksi jagung di Jawa Timur mencapai 6 juta ton, berkontribusi sebesar 31.3%, atau hampir sepertiga dari total produksi jagung nasional. Produksi jagung yang besar seharusnya didukung dengan kesiapan teknologi produksi untuk mengolahnya menjadi aneka produk turunan, seperti pati. Pati jagung adalah bahan strategis karena digunakan di berbagai sektor, khususnya pangan. Studi ini dilakukan untuk optimasi proses ekstraksi pati jagung Madura-3. Teknik optimasi dilakukan menggunakan desain rancangan d-optimal pada Response Surface Methodology (RSM). Kondisi optimasi meliputi lama perendaman (X1) dan konsentrasi NaOH (X2), dengan rentang sebagai berikut: X1 (12 jam – 36 jam) dan X2 (0.05 – 0.5%). Hasil uji statistik memperlihatkan bahwa model yang berhasil dikonstruksi dinyatakan signifikan, ditunjukkan dengan F value sebesar 7.30, dan Prob lebih dari F sebesar 0.0075 (P kurang dari 0.05). Selain itu, lack of fit adalah 0.45, memperlihatkan bahwa parameter ini tidak signifikan. Lack of fit yang tidak signifikan memang diinginkan. Selain itu, nilai adequate precision dari model mencapai 7.469 (diinginkan lebih dari 4.0) Hasil optimasi menunjukkan bahwa kondisi optimum dapat dicapai pada kondisi X1 = 36 jam dan X2 = 0.05%. Kondisi optimum ini diprediksi mampu menghasilkan nilai rendemen 5.29%, dengan nilai desirability 0.719. Extraction of Madura-3 corn starch by optimizing soaking time and NaOH concentrationCorn production in Madura showed a tremendous contribution to total production in the Province of East Java. Noticeably, the province was recorded to yield 6 million tons of corn, responsible for approximately 31.3% of domestic production in 2018, as reported by BPS-Statistics. For this reason, there is a need for developing technology that enables to convert the corn into other valuable products, such as starch. Corn starch is essential material since it is applied in copious sectors mainly including food and pharmacy. This present work aimed at optimizing conditions for isolating starch of Madura-3 corn carried out using d-optimal design in Response Surface Methodology (RSM). The variables included soaking time (X1) and concentration of NaOH (X2), arranged as follows: X1 (12 – 36 h) and X2 (0.05 – 0.5%) according to preliminary research. The results demonstrated that the model constructed from data was significant, resulting in an F value of 7.30 and Prob more than F of 0.0075 (P less than 0.05). Furthermore, the statistical analysis showed a lack of fit at 0.45, which means that it was insignificance, which is favorable for this experiment.  In addition, adequate precision of the constructed model was achieved at 7.469 (more than 4.0). Based on the statistical evaluation, the optimum condition for starch isolation was found at X1 = 36 h and X2 = 0.05%, which was predicted to yield starch at 5.29% with the desirability value of 0.719.


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