Natural Colorants from Cosmos Sulphureus Cav. and Tagetes Erecta L.: Extraction And Characterization

https://doi.org/10.22146/ajche.49893

Edia Rahayuningsih(1*), Dyah A Wikansari(2), Hendrik Setiawan(3)

(1) Chemical Engineering Department, Engineering Faculty, Universitas Gadjah Mada, Jl. Grafika no. 2 Kampus UGM, Yogyakarta, Indonesia 55281
(2) Chemical Engineering Department, Engineering Faculty, Universitas Gadjah Mada, Jl. Grafika no. 2 Kampus UGM, Yogyakarta, Indonesia 55281
(3) Chemical Engineering Department, Engineering Faculty, Universitas Gadjah Mada, Jl. Grafika no. 2 Kampus UGM, Yogyakarta, Indonesia 55281
(*) Corresponding Author

Abstract


Ionic liquids demonstrated successful potential applications in the industry most specifically as the new generation of solvents for catalysis and synthesis in chemical processes, thus knowledge of their physico-chemical properties is of great advantage. The present work presents a mathematical correlation that predicts density of binary mixtures of ionic liquids with various alcohols (ethanol/methanol/1-propanol). The artificial neural network algorithm was used to predict these properties based on the variations in temperature, mole fraction, number of carbon atoms in the cation, number of atoms in the anion, number of hydrogen atoms in the anion and number of carbon atoms in the alcohol. The data used for the calculations were taken from ILThermo Database. Total experimental data points of 1946 for the considered binaries were used to train the algorithm and to test the network obtained. The best neural network architecture determined was found to be 6-6-10-1 with a mean absolute error of 48.74 kg/m3. The resulting correlation satisfactorily represents the considered binary systems and can be used accurately for solvent related calculations requiring properties of these systems.

Keywords


Carotenoid, Extraction, Cosmos sulphureus Cav., Tagetes erecta L., Optimization

Full Text:

PDF


References

  1. Arini, N., Respatie, D.W., and Waluyo, S. (2015). The effect of SP36 rate on the growth, flowering and carotene content of Cosmos sulphureus Cav. and Tageteserecta L. in low land, Vegetalika, 4(1), 1-14.
  2. Bechtold, T. and Mussak, R. (2009), Handbook of Natural Colorants, pp. 3- 20, 221-234, 237-241, John Wiley and Sons Ltd., United Kingdom.
  3. Beck, C.B., 2010, An Introduction to Plant Structure and Development: Plant Anatomy for the Twenty-first Century, second ed. Cambridge Univ. Press.
  4. Britton, G., Liaaen-Jensen, S., and Pfander, H. (2008). Carotenoids: Natural Function, pp.1-6, 7-14, Birkhäuser Verlag, Switzerland.
  5. Combes, R.D. and Haveland-Smith, R.B. (1982). A review of the Genotoxicity of Food, Drug and Cosmetic Colors and other Azo, Triphenyl methane and Xanthene Dyes. Mutation Research/Reviews in Genetic Toxicology, 98, 101-243.
  6. Davies, K. (2004), Annual Plant Reviews: Plant Pigments and Their Manipulation, vol.14, pp. 57-82, 257- 262, 318-326, CRC Press, Palmerston North, New Zealand.
  7. Delgado-Vargas, F. and Paredes-López, O., (2003), Natural Colorants for Food and Nutraceutical Uses, pp. 35-59, 113-157 , CRC Press, Florida.
  8. Elksibi, I., Haddar, W., Ticha, M. B., Gharbi, R., and Mhenni, M. F. (2014), Development and optimisation of a non conventional extraction process of natural dye from olive solid waste using response surface methodology (RSM), Food Chemistry 161, 345-352.
  9. Heyne, K. (1987). Tumbuhan BergunaIndonesia. Badan Penelitian dan Pengembangan Kehutanan, Departemen Kehutanan, Cetakan ke-1, Yasayan Sarana Wana Jaya, Jakarta.
  10. Hojnik, M, Mojca, S., Kerget, Z. and Knez E. (2008), Extraction of Lutein from Marigold Flower Petals: Experimental, Kinetics, and Modeling, LWT-Food Science and Technology 41, 2008-2016.
  11. Keka, S., Papita, D.S., and Siddhartha, D. (2012). Extraction of natural dye from petals of Flame of forest (Butea monosperma) flower: Process optimization using response surface methodology (RSM), Dyes and Pigments 94, 212-216.
  12. Lin, J.H., Lee, D.J., and Chang, J.S. (2014), Lutein production from biomass: Marigold flowers versus microalgae, Bioresource Technology 184, 421–428.
  13. Maran, J. P., and Manikadan, S. (2012), Response surface modeling and optimization process parameters for aqueous extraction of pigments from prickly pear (Opuntia ficus-indica) fruit, Dyes and Pigments 95, 465-472. 58 Natural Colorants from Cosmos Sulphureus Cav. and Tagetes Erecta L.: Extraction And Characterization
  14. Pratiwi, R. (2015). Pengaruh takaran SP36 terhadap pertumbuhan tanaman, pembungaan, dan kandungan lutein dua spesies Kenikir di dataran tinggi. Skripsi Program Studi Agronomi Jurusan Budidaya Pertanian, Fakultas Pertanian, Universitas Gadjah Mada, Yogyakarta, Indonesia.
  15. Sari D.L.N, Cahyono B., dan Kumoro A. C. (2013), Pengaruh Jenis Pelarut pada Ekstraksi Kurkuminoid Dari Rimpang Temulawak (Curcuma xanthorrhiza Roxb), Chem. Info. 1, 101 – 107.
  16. Shahid, M., Shahid-ul-Islam, and Mohammad. F. (2013), Recent advancements in natural dye applications: a review, Journal of Cleaner Production 53, 310-331.
  17. Sowbhagya, H. B., Sampathu, S. R., and Krishnamurthy, N. (2004), Natural Colorant from Marigold-Chemistry and Technology, Food Reviews International 20, 33–50.
  18. Surendranath, R., Ganga, M., Jawaharlal, M., and Anitha, K. (2016), Extraction and Quantification of Marigold Lutein Using Different Solvent Systems, Int. J. Pharm. Sci. Rev. Res., 37(2), 187-191.
  19. Vedaraman, N., Sandhya, K. V., Charukesh, N. R. B., Ventakrishnan, B., Haribabu, K., Sridharan, M. R., and Nagarajan, R. (2017), Ultrasonic extraction of natural dye from Rubia cordifolia, optimisation using response surface methodology (RSM) & comparison with artificial neural network (ANN) model and its dyeing properties on different substrates, Chemical Engineering and Processing: Process Intensification 114, 46-54.
  20. Yin, Y., Jia, J., Wang, T., Wang, C. (2017), Optimization of natural anthocyanin efficient extracting from purple sweet potato for silk fabric dyeing, Journal of Cleaner Production 149, 673-679.
  21. US patent No.: 7,622,599 B2, Nov. 24, 2009.
  22. European patent application No: 95300273.0, 17.01.95



DOI: https://doi.org/10.22146/ajche.49893

Article Metrics

Abstract views : 2339 | views : 2022

Refbacks

  • There are currently no refbacks.


ASEAN Journal of Chemical Engineering  (print ISSN 1655-4418; online ISSN 2655-5409) is published by Chemical Engineering Department, Faculty of Engineering, Universitas Gadjah Mada.