Optimization of the oil agglomeration for high-ash content coal slime based on design and analysis of response surface methodology (RSM)

Chitin can be found in animal source especially arthropods such as crustacean, mollusk and insect, as well as in plant source such as fungi. Chitosan is obtained from chitin after the acetyl group is removed from chitin structure through deacetylation step and has wide application in various fields (food, cosmetics and pharmaceutical). In this study, chitosan was extracted from razor clam shells, where the extraction conditions were optimized. Two- factors of randomized D-optimal design was used to determine the optimum condition for the extraction of chitosan from razor clam (Ensis arcuatus) by using response surface methodology (RSM). The chemical extraction was optimized using five levels with two factors which were the deacetylation time (2,4,6,8,10 hrs) and deacetylation temperature (50, 60, 70, 80 and 90ºC). A randomized design suggested by Design Expert software was implemented with four responses evaluated: yield (%); degree of deacetylation (%); molecular weight (kDA); and ash content (%). Time (h) and temperature (ºC) of the deacetylation significantly (p<0.05) affected the yield (%), degree of deacetylation (DDA) (%), molecular weight (Mw) (kDA) and ash content (%) of the chitosan extracted. The optimum conditions for the chitosan extraction were at the respective deacetylation time and temperature of 6h and 70ºC with actual values of yield (%), degree of deacetylation (%), molecular weight (kDA) and ash content (%) of 19.903±2.367, 50.113±0.902, 476.727±13.603, 8.517±2.094, respectively. The optimum condition for the chitosan extraction was experimentally verified and valid for further analysis.

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FORMULASI ROTI BEBAS GLUTEN BERBASIS TEPUNG SORGUM DENGAN PENAMBHAAN PATI GARUT DAN GUM ARAB

Jurnal Penelitian Pascapanen Pertanian ◽

10.21082/jpasca.v16n2.2019.90-98 ◽

2019 ◽

Vol 16 (2) ◽

pp. 90

Author(s):

Zakia Maulida ◽

Nur Aini ◽

Budi Sustriawan ◽

Juni Sumarmono

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Specific Volume ◽

Ash Content ◽

Sensory Characteristics ◽

Wheat Bread ◽

Gluten Free ◽

Arabic Gum ◽

Sorghum Flour ◽

Arrowroot Starch

Tepung sorgum tidak memilikki gluten sehingga tidak bisa dibuat menjadi orti yang memiliki tekstur baik. Untuk dapat menghasilakn roti sorgum dengan tekstur yang baik perlu bahan pembentuk sebagai pengganti gluten. Penambahan pati garut akan mengakibatkan gelatinisasi mampu memerangkap gelembung udara serta memfasilitasi retensi gas selama fermentasi. Gum arab memiliki kemampuan meniru sifat viskoelastis gluten. Tujuan dari penelitian ini adalah 1) menentukan proporsi pati garut dan gum arab yang optimum dalam pembuatan roti sorgum; 2) memperlajari sifat fisik, kimia, dan sensori roti. Rancangan percobaan menggunakan Response Surface Methodology dengan dua faktor yakni pati garut (25-40%) dan gum arab (1-5%). Variabel yang diamati meliputi volume spesifik, hardness, cohesiveness, kadar air, abu, karbohidrat, protein, lemak, serta karakteristik sensori (warna, aroma, tekstur, rasa, dan kesukaan). Formula optimum roti berbasis sorgum yakni dengan proporsi pati garut 40% dan gum arab 5 %. Karakteristik formula optimum roti sorgum adalah volume spesifik 342,76 cm3; hardness 0,34 N; cohesiveness 1,31; kadar air 49,62%, kadar abu 0,74 %, kadar karbohidrat 40,45%, kadar protein 6,22%, dan kadar lemak 2,97%. Karakteristik sensori (warna putih sedikit keabuan, aroma khas roti agak kuat, tekstur pori agak seragam, rasa khas roti agak kuat dan tingkat kesukaan netral). Karakter ini hampir sama dengan roti dari terigu sehingga dapat digunakan sebagai pangan alternatif bagi orang yang intoleran terhadap gluten. Gluten Free Bread Formulation Based on Sorghum Flour with Addition of Arabic Garut and Gum StarchThe gluten-free bread formula from sorghum requires the formation of a gluten substitute so that bread has desire characteristics. During baking, starch granules of arrowroot gelatinize and have ability to trap air bubbles, facilitating gas retention during fermentation. Arabic gum has the ability to mimic the viscoelastic properties of gluten. The objectives of this study were 1) determining the optimum proportion of arrowroot starch and Arabic gum in sorghum-based gluten-free bread making; 2) knowing the physical, chemical, and sensory properties of bread. The experimental design in this study used Response Surface Methodology with two factors is arrowroot starch (25-40%) and arabic gum (1-5%). The variables observed were specific volume, hardness, cohesiveness, moisture, ash content, carbohydrate, protein, fat, and sensory characteristics (color, aroma, texture, taste, and preference). The optimum formula for sorghum bread is 40% proportion of arrowroot starch and 5% of Arabic gum addition. The characteristic of bread were specific volume 342.76 cm3, hardness 0,34 N, cohesiveness 1.31; 49,62% moisture content, 0.74% ash content, carbohydrate levels of 40.45% protein content of 6.22% and fat content of 2.97% and sensory characteristics (slightly grayish white, distinctive strong bread aroma, rather unifrom pore texture, distinctive strong bread flavor and neutral level of preference). This character is almost the same as wheat bread so tahat it can be used as an alternative for people who are intolerant of gluten.

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Statistical Optimization of Coal–Oil Agglomeration Using Response Surface Methodology

International Journal of Coal Preparation and Utilization ◽

10.1080/19392699.2016.1224237 ◽

2016 ◽

Vol 38 (4) ◽

pp. 192-206 ◽

Cited By ~ 4

Author(s):

Anand Mohan Yadav ◽

Nikkam Suresh

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Statistical Optimization ◽

Oil Agglomeration

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Optimasi Suhu Pengeringan dan Ketebalan Irisan pada Proses Pengeringan Jahe Merah (Zingiber officinale var. rubrum) dengan Response Surface Methodology (RSM)

Jurnal BETA (Biosistem dan Teknik Pertanian) ◽

10.24843/jbeta.2021.v09.i01.p07 ◽

2021 ◽

Vol 9 (1) ◽

pp. 66

Author(s):

Desak Agung Hepi ◽

Ni Luh Yulianti ◽

Yohanes Setiyo

Keyword(s):

Response Surface Methodology ◽

Water Content ◽

Response Surface ◽

Water Activity ◽

Ash Content ◽

Heat Energy ◽

Slice Thickness ◽

Drying Process ◽

Drying Temperature ◽

Evaporation Heat

Suhu pengeringan dan ketebalan irisan merupakan dua hal yang mempengaruhi proses pengeringan jahe merah. Penelitian dirancang dengan tujuan untuk mendapatkan kombinasi suhu pengeringan dan ketebalan irisan optimum melalui Response Surface Methodology (RSM), serta memperoleh model matematika untuk memprediksi kadar air, aktivitas air, kadar abu dan energi panas penguapan. Pengujian dilakukan untuk mengetahui pengaruh suhu dan ketebalan irisan terhadap respon kadar air, aktivitas air, kadar abu dan energi panas penguapan. Pengolahan data menggunakan aplikasi Design Expert ® 12. Hasil penelitian menunjukkan model linier untuk memprediksi respon kadar air dan kadar abu. Model kuadratik untuk memprediksi respon aktivitas air dan energi panas penguapan. Hasil verifikasi model menunjukkan kombinasi suhu pengeringan dan ketebalan irisan optimum terpilih adalah 67,30C dan 3 mm. Proses pengeringan dengan kombinasi suhu pengeringan dan ketebalan irisan optimum menghasilkan nilai aktual aktivitas air 0,393 aw, kadar air 9,877%, kadar abu 3,513% dan energi panas penguapan sebesar 68,354 kJ/Jam. Respon dari kombinasi suhu pengeringan dan ketebalan irisan optimum terpilih dapat memenuhi keinginan sesuai kriteria dengan nilai desirability 81,3%. Drying temperature and thickness of slices are two things that affect the drying process of red ginger. The research was designed with the aim of obtaining a combination of drying temperature and optimum slice thickness through the Response Surface Methodology (RSM), as well as obtaining mathematical models to predict water content, water activity, ash content and evaporation heat energy. Testing was conducted to determine the effect of the temperature and thickness of the slices on the response of water content, water activity, ash content and evaporation heat energy. Data processing using design expert application ® 12. The results showed linear models to predict the response of water levels and ash levels. Quadratic models to predict the response of water activity and evaporation heat energy. Model verification results show the combination of drying temperature and optimum slice thickness selected is 67.30C and 3 mm. The drying process with a combination of drying temperature and optimum slice thickness resulted in an actual water activity value of 0.393 aw, water content of 9.877%, ash content of 3.513% and evaporation heat energy of 68,354 kJ/h. The response of the combination drying temperature and thickness of selected optimum slices can meet the wishes according to the criteria with a desirability value of 81.3%.

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Phosphorus recovery from sewage sludge hydrochar: process optimization by response surface methodology

Water Science & Technology ◽

10.2166/wst.2020.485 ◽

2020 ◽

Vol 82 (11) ◽

pp. 2331-2343

Author(s):

Andrea Luca Tasca ◽

Gemma Mannarino ◽

Riccardo Gori ◽

Sandra Vitolo ◽

Monica Puccini

Keyword(s):

Response Surface Methodology ◽

Sewage Sludge ◽

Response Surface ◽

Hydrothermal Carbonization ◽

Extraction Yield ◽

Ash Content ◽

Phosphorus Recovery ◽

3 Dimensional ◽

Solid Liquid ◽

Influence Of Ph

Abstract Hydrothermal carbonization can play an innovative role in sewage sludge (SS) treatment and valorization, as well as in phosphorus recovery. In this study, leaching tests using nitric acid were performed on hydrochar from SS and the influence of pH (1–3.5), leaching time (30–240 min), and solid/liquid (S/L) ratio (5–20 wt%) was analyzed and optimized according to the Design of Experiments method, under the Response Surface Methodology approach. The highest phosphorus extraction yield (59.57%) was achieved at the lowest pH and the lowest S/L ratio, while an increase in temperature from 20 to 60 °C negatively affected the phosphorus recovery. Quadratic models, with the addition of semi-cubic terms, were found to best represent both phosphorus yield and ash content of the hydrochar after leaching. As observed by 3-dimensional surface responses, phosphorus yield increases as the pH decreases. The pH is the factor that most influences this response, while time has little influence. At pH 1, the yield increases as the S/L ratio decreases, while the S/L ratio only slightly affects the response at pH 3.5. At an S/L ratio of 12.5%, multi-objective optimization indicates that pH 1 and a leaching time of 135 min are the parameters that allow both maximum phosphorus yield and minimum ash content.

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The Dosage of Superplasticizer in Cemented Coal Waste Backfill Material Based on Response Surface Methodology

Advances in Materials Science and Engineering ◽

10.1155/2019/5328523 ◽

2019 ◽

Vol 2019 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Qingdong Li ◽

Guorui Feng ◽

Yuxia Guo ◽

Tingye Qi ◽

Xianjie Du ◽

...

Keyword(s):

Response Surface Methodology ◽

Fly Ash ◽

Response Surface ◽

Mass Concentration ◽

Mechanical Performance ◽

Low Cost ◽

Ash Content ◽

Coal Waste ◽

Backfill Material ◽

Underground Openings

Cemented coal waste backfill material (CCWBM) is developed for backfilling the goaf in coal mines. As fresh CCWBM slurry is generally transported into underground openings through a pipeline, the fluidity of fresh slurry becomes one of the most important properties. Adding superplasticizer is considered to improve the flow performance of the slurry without alerting the mechanical performance of filling body. The dosage of superplasticizer (SP) is related to filling cost, thus response surface methodology (RSM) is adopted to study the influence of material composition on SP when target slump is 250 mm. The effects of fly ash content, fine gangue ratio, and mass concentration on SP are analyzed using the software of Design-Expert and central composite design (CCD), and models are established for SP. Results show that the SP model coincides greatly with the test results and can be applied to analyze and predict SP in CCWBM. Mass concentration, fly ash content, and fine gangue ratio influence SP from high to low. The interaction of fine gangue ratio and mass concentration between SP is the most significant. The fact that the improved aggregate space model can be applied to analyze the fluidity of CCWBM is proved too. The research results provide guidance for the design and preparation of CCWBM with favourable performance and low cost in practical production.

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