مدل سازی فرآیند استخراج با پیش تیمار فراصوت گالاکتومانان از دو دانه شنبلیله (Trigonella foenum – graceum) و لیلکی ایرانی (Gleditsia caspica): استفاده از روش عددی معکوس

نویسندگان
1 گروه علوم و مهندسی صنایع غذایی، پردیس کشاورزی و منابع طبیعی دانشگاه تهران، کرج، ایران
2 گروه علوم و مهندسی صنایع غذایی، پردیس کشاورزی و منابع طبیعی دانشگاه تهران، کرج ایران
چکیده
استخراج هیدروکلوئید از دانه­ های گیاهی به دلیل افزایش مصرف این ترکیبات در فرمولاسیون محصولات غذایی محبوبیت زیادی پیدا کرده است. استخراج با پیش ­تیمار فراصوت به دلیل مزایای زیاد، محبوبیت گسترده­ ای پیدا کرده است که یکی از مهم­ ترین مزایای آن، افزایش راندمان استخراج بیوپلیمر می ­باشد. هدف این پژوهش، امکان سنجی استفاده از روش عددی معکوس جهت تخمین پارامتر­های مؤثر در انتقال جرم مربوط به فرآیند استخراج با پیش ­تیمار فراصوت گالاکتومانان از دو دانه گیاهی شنبلیله (Trigonella foenum graceum) و لیلکی ایرانی (Gleditsia caspica) بود. برای رسیدن به این هدف، غلظت گالاکتومانان استخراج شده از هر دو دانه گیاهی در مقابل زمان به دست آمد و داده ­های آزمایشگاهی و داده­ های پیش­ بینی شده توسط نرم افزار (براساس شبیه سازی انجام شده) با هم مقایسه گردید که همخوانی قابل قبولی بین آن­ها وجود داشت. پارامتر­های مؤثر در انتقال جرم شامل ضریب پخش (E)، ضریب انتشار (D) و ضریب انتقال جرم کلی (kc) برای نمونه ­های مختلف به ترتیب در دامنه m2/s10-12×1/52 1/21، m2/s10-8×3 2/39 و m2/s10-7×1/85 1/18 برای گالاکتومانان شنبلیله و m2/s10-12×1/54 1/31، m2/s 10-8×3/11 2/63 و m2/s10-7×1/95 1/46 برای گالاکتومانان لیلکی ایرانی بود. تفاوت بین مقادیر به دست آمده برای دو گالاکتومانان می­تواند به نوع دانه، سختی و نرمی دیواره و ویژگی ­های ترکیب هدف مرتبط باشد. با توجه به نتایج به دست آمده، روش عددی معکوس به عنوان روش قابل قبول و مؤثر جهت مدل سازی فرآیند استخراج هر دو گالاکتومانان معرفی گردید.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Modeling of ultrasound – assisted extraction of galactomannans obtained from Trigonella foenum – graceum (fenugreek) and Gleditsia caspica seeds: Using inverse numerical method

نویسندگان English

Rasoul Niknam 1
Mohammad Mousavi 2
Hossein Kiani 1
1 Department of Food Science and Technology, Campus of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
2 Department of Food Science and Technology, Campus of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
چکیده English

Extraction of hydrocolloids from plant seeds is important due to the increased consumption of these compounds in the formulation of food products. Ultrasound-assisted extraction has become very popular due to its many advantages, one of the most important of which is to increase the extraction efficiency of the biopolymers. The aim of this research was to use inverse numerical method to estimate the effective parameters in mass transfer related to the ultrasound-assisted extraction of galactomannan form two plant seeds including fenugreek and Gleditsia caspica. To achieve this goal, the concentration of galactomannan extracted from both plant seeds was obtained against time and the experimental data and the data predicted by the software (based on the simulation) were compared which had proper convergence. Effective parameters in mass transfer including dispersion coefficient (E), diffusion coefficient (D) and total mass transfer coefficient (kc) were in the range of 1.21 – 1.52×10-12, 2.39 – 3.05×10-8 and 1.18 – 1.85×10-7m2/s for fenugreek galactomannan and 1.31 – 1.54×10-12, 2.63 – 3.11×10-8 and 1.46 – 1.95×10-7m2/s for Gleditsia caspica galactomannan. The difference between the values obtained for the two galactomannans could be attributed to the seed type, hardness or softness of the seed wall and characteristics of the target component. According to the obtained results, inverse numerical method could be introduced as an acceptable and effective method for modeling of the extraction process of both galactomannans.

کلیدواژه‌ها English

Inverse numerical method
Modeling
Extraction
Galactomannan
[1] Niknam, R., Ghanbarzadeh, B., Ayaseh, A., & Rezagholi, F. (2019). The hydrocolloid extracted from Plantago major seed: Effects on emulsifying and foaming properties. Journal of Dispersion Science and Technology, 41(5), 667 – 673.
[2] Niknam, R., Ghanbarzadeh, B., Ayaseh, A., & Rezagholi, F. (2020). Barhang (Plantago major L.) seed gum: Ultrasound-assisted extraction optimization, characterization and biological activities. Journal of Food Processing and Preservation. DOI: 10.1111/jfpp.14750.
[3] Jiang, Y., Koteswara Reddy, C., Huang, K., Chen, L., & Xu, B. (2019). Hydrocolloidal properties of flaxseed galactomannan / konjac glucomannan compound gel. International Journal of Biological Macromolecules, 133, 1156 – 1163.
[4] Niknam, R., Ghanbarzadeh, B., Ayaseh, A., & Rezagholi, F. (2018). The effects of Plantago major seed gum on steady and dynamic oscillatory shear rheology of sunflower oil-in-water emulsions. Journal of Texture Studies, 49(5), 536 – 547.
[5] Wang, P., Luo, J., Wang, X.B., Fan, B.Y., & Kong, L.Y. (2015). New indole glucosides as biosynthetic intermediates of camptothecin from the fruits of Camptotheca acuminate. Fitoterapia, 103, 1 – 8.
[6] Rashid, F., Hussain, S., & Ahmed, Z. (2018). Extraction purification and characterization of galactomannan from fenugreek for industrial utilization. Carbohydrate Polymers, 180, 88 – 95.
[7] Bakhshy, E., Zarinkamar, F., & Nazari, M. (2019). Isolation, qualitative and quantitative evaluation of galactomannan during germination of Trigonella persica (Fabaceae) seed. International Journal of Biological Macromolecules, 137, 286 – 295.
[8] Niknam, R., Ghanbarzadeh, B., Ayaseh, A., & Hamishehkar, H. (2019). Plantago major seed gum based biodegradable films: Effects of various plant oils on microstructure and physicochemical properties of emulsified films. Polymer Testing, 77, 105868.
[9] Zhao, Y., Yang, J., Liu, Y., Zhao, M., & Wang, J. (2018). Ultrasound assisted extraction of polysaccharides from Lentinus edodes and its anti-hepatitis B activity in vitro. International Journal of Biological Macromolecules, 107, 2217 – 2223.

[10] Gupta, S.K., Kalaiselvan, V., Srivastava, S., Saxena, R., & Agrawal, S.S. (2010). Trigonella foenum – graecum (Fenugreek) protects against selenite – induced oxidative stress in experimental cataractogenesis. Biological Trace Element Research, 136 (3), 533 – 542.
[11] Niknam, R., Mousavi, M., & Kiani, H. (2020). New studies on galactomannan extracted from Trigonella foenum – graceum (fenugreek) seed: Effect of subsequent use of ultrasound and microwave on the physicochemical and rheological properties. Food and Bioprocess Technology, 13(5), 882 – 900.
[12] M. Busch, V., A. Kolender, A., R. Santagapita, P., & Buera, P. (2015). Vinal gum, a galactomannan from Prosopis ruscifolia seeds: Physicochemical characterization. Food Hydrocolloids, 51, 495 – 502.

[13] Shaheen, U., A. Ragab, E., N. Abdalla, A., & Bader, A. (2018). Triterpenoidal saponins from the fruits of Gleditsia caspica with proapoptotic properties. Phytochemistry, 145, 168 – 178.
[14] Liyanage, S., Abidi, N., Auld, D., & Moussa, H. (2015). Chemical and physical characterization of galactomannan extracted from guar cultivars (Cyamopsis tetragonolobus L.). Industrial Crops and Products, 74, 388 – 396.
[15] Guo, X., Shang, X., Zhou, X., Zhao, B., & Zhang, J. (2017). Ultrasound-assisted extraction of polysaccharides from Rhododendron aganniphum: Antioxidant activity and rheological properties. Ultrasonics Sonochemistry, 38, 246 – 255.
[16] Sun, M., Sun, Y., Li, Y., Liu, Y., Liang, J., & Zhang, Z. (2018). Physical properties and antidiabetic potential of a novel galactomannan from seeds of Gleditsia japonica var. delavayi. Journal of Functional Foods, 46, 546 – 555.
[17] Roohi, R., Abedi, E., Hashemi, S.M.B., Marszalek, K., Lorenzo, J., & Barba, F. (2019). Ultrasound-assisted bleaching: Mathematical and 3D computational fluid dynamics simulation of ultrasound parameters on microbubble formation and cavitation structures. Innovative Food Science and Emerging Technologies, 55, 66 – 79.
[18] Gorgani, L., Mohammadi, M., D.Najafpour, G., & Nikzad, M. (2017). Sequential microwave-ultrasound-assisted extraction of piperine from black pepper (Piper nigrum L.). Food and Bioprocess Technology, 10, 2199 – 2207.

[19] Zheng, Q., Ren, D., Yang, N., & Yang, X. (2016). Optimization of ultrasound-assisted extraction of polysaccharides with chemical composition and antioxidant activity from the Artemisia sphaerocephala Krasch seeds. International Journal of Biological Macromolecules, 91, 856 – 866.
[20] Hamedi, F., Mohebbi, M., Shahidi, F., & Azarpazhooh, E. (2018). Ultrasound-assisted osmotic treatment of model food impregnated with pomegranate peel phenolic compounds: Mass transfer, texture and phenolic evaluations. Food and Bioprocess Technology, 11, 1061 – 1074.

[21] Lu, X., Zheng, Z., Li, H., Cao, R., Zheng, Y., Yu, H., Xiao, J., Miao, S., & Zheng, B. (2017). Optimization of ultrasonic – microwave assisted extraction of oligosaccharides from lotus (Nelumbo nucifera Gaertn.) seeds. Industrial Crops and Products, 107, 546 – 557.
[22] Kiani, H., & Sun, D.W. (2016). Numerical modeling of particle to fluid heat transfer during ultrasound assisted immersion cooling. Chemical Engineering & Processing: Process Intensification, 99, 25 – 32.
[23] Homayoonfal, M., Mousavi, S.M., Kiani, H., Askari, GH., Khani, M., Rezazad, M., & Alizadeh, M. (2018). The use of an innovative inverse numerical modeling method for the evaluation and parameter estimation of barberry anthocyanins ultrasound assisted extraction. Chemical Engineering & Processing: Process Intensification, 133, 1 – 11.
[24] Fabbri, A., Cevoli, C., & Troncoso, R. (2014). Moisture diffusivity coefficient estimation in solid food by inversion of a numerical model. Food Research International, 56, 63 – 67.
[25] Currenti, G., Negro, C., & Nunnari, G. (2005). Inverse modeling of volcanomagnetic fields using a genetic algorithm technique. Geophysical Journal International, 163, 403 -418.
[26] Anderson, B., & Singh, P. (2006). Effective heat transfer coefficient measurement during air impingement thawing using an inverse method. International Journal of Refrigeration, 29(2), 281 – 293.
[27] Fabbri, A., & Cevoli, C. (2016). Rheological z finite elements model inversion. Journal of Food Engineering, 169, 172 – 178.
[28] Niknam, R., Mousavi, M., & Kiani, H. (2021). intrinsic viscosity, steady and oscillatory shear rheology of a new source of galactomannan isolated from Gleditsia caspica (Persian honey locust) seeds in aqueous dispersions. European Food Research and Technology, 247 (10), 2579 – 2590.
[29] Kiani, H., Hojjatoleslamy, M., & Mousavi, M. (2016). Data reduction of a numerically simulated sugar extraction process in counter-current flow horizontal extraction. Journal of Agricultural Science and Technology, 18(3), 615 – 627.
[30] Tramontin, D., Alves, A., Bolzan, A., & Quadri, M. (2021). Mathematical modeling and numerical simulation of the extraction of bioactive compounds from Artocarpus heterophyllus with supercritical CO2. The Journal of Supercritical Fluids, 177, 105353.
[31] Yuan, Y., Tan, L., Xu, Y., Yuan, Y., & Dong, J. (2019). Numerical and experimental study on drying shrinkage-deformation of apple slices during process of heat-mass transfer. International Journal of Thermal Sciences, 136, 539 – 548.
[32] Sajjadi, B., Asgharzadehahmadi, S., Asaithambi, P., Abdul Raman, A., & Parthasarathy, R. (2017). Investigation of mass transfer intensification under power ultrasound irradiation using 3D computational simulation: A comparative study. Ultrasonics Sonochemistry, 34, 504 – 518.
[33] Sorourian, R., Khajehrahimi, A., Tadayoni, M., Azizi, M.H., & Hojjati, M. (2020). Ultrasound-assisted extraction of polysaccharides from Typha domingensis: Structural characterization and functional properties. International Journal of Biological Macromolecules, 160, 758 – 768.
[34] Niknam, R., Mousavi, M., & Kiani, H. (2021). A new source of galactomannan isolated from Gleditsia caspica (Persian honey locust) seeds: Extraction and comprehensive characterization. Journal of Food Processing and Preservation, e15774.
[35] Jiang, C., Li, X., Jiao, Y., Jiang, D., Zhang, L., Fan, B., & Zhang, Q. (2014). Optimization for ultrasound-assisted extraction of polysaccharides with antioxidant activity in vitro from the aerial root of Ficus microcarpa. Carbohydrate Polymers, 110, 10 – 17.
[36] Kiani, H., Sun, D., Delgado, A., & Zhang, Z. (2012). Investigation of the effect of power ultrasound on the nucleation of water during freezing of agar gel samples in tubing vials. Ultrasonics Sonochemistry, 19, 576 – 581.
[37] Mtetwa, M., Qian, L., Zhu, H., Cui, F., Zan, X., Sun, W., Wu, D., & Yang. Y. (2020). Ultrasound-assisted extraction and antioxidant activity of polysaccharides from Acanthus ilicifolius. Journal of Food Measurement and Characterization, 14, 1223 – 1235.
[38] Miano, A., Ibarz, A., & Augusto, A. (2016). Mechanisms for improving mass transfer in food with ultrasound technology: Describing the phenomena in two model cases. Ultrasonics Sonochemistry, 29, 413 – 419.
[39] Pinelo, M., Zornoza, B., & Meyer, A. (2008). Selective release of phenols from apple skin: Mass transfer kinetics during solvent and enzyme-assisted extraction. Separation and Purification Technology, 63(3), 620 – 627.
[40] Goula, A. (2013). Ultrasound-assisted extraction of pomegranate seed oil – Kinetic modeling. Journal of Food Engineering, 117, 492 – 498.
[41] Fabbri, A., & Cevoli, C. (2015). 2D water transfer finite elements model of salami drying, based on real slice image and simplified geometry. Journal of Food Engineering, 158, 73 – 79.
[42] Xu, Z., Wu, J., Zhang, Y., Hu, X., Liao, X., & Wang, Z. (2010). Extraction of anthocyanins from red cabbage using high pressure CO2. Bioresource Technology, 101 (18), 7151 – 7157.
[43] Abrahamsson, V., Andersson, N., Nilsson, B., & Turner, C. (2016). Method development in inverse modeling applied to supercritical fluid extraction of lipids. The Journal of Supercritical Fluids, 111, 14 – 27.
[44] Kiani, H., Karimi, F., Labbafi, M., & Fathi, M. (2018). A novel inverse numerical modeling method for the estimation of water and salt mass transfer coefficients during ultrasonic assisted-osmotic dehydration of cucumber cubes. Ultrasonic Sonochemistry, 44, 171 – 176.
[45] Cisse, M., Vaillant, F., Acosta, O., Mayer, C., & Dornier, M. (2009). Thermal degradation kinetics of anthocyanins from blood orange, blackberry, and roselle using the Arrhenius, eyring, and ball models. Journal of Agricultural and Food Chemistry, 57, 6285 – 6291.
[46] Tao, Y., Zhang, Z., & Sun, D. (2014). Experimental and modeling studies of ultrasound-assisted release of phenolics from oak chips into model wine. Ultrasonics Sonochemistry, 21, 1839 – 1848.
[47] Carrera, C., Ruiz-Rodriguez, A., Palma, M., & Barroso, C.G. (2012). Ultrasound assisted extraction of phenolic compounds from grapes. Analytica Chimica Acta, 732, 100 – 104.
[48] Wang, X.S., Wu, Y.F., Dai, S.L., Chen, R., & Shao, Y. (2012). Ultrasound-assisted extraction of geniposide from Gardenia jasminoids. Ultrasonics Sonochemistry, 19, 1155 – 1159.
[49] Lazar, I., Talmaciu, A.I., Volf, I., & Popa, V.I. (2016). Kinetic modeling of the ultrasound-assisted extraction of polyphenols from Picea abies bark. Ultrasonics Sonochemistry, 32, 191 – 197.