Open Access
E3S Web Conf.
Volume 344, 2022
International Food Conference (IFC 2021)
Article Number 04005
Number of page(s) 9
Section Food Process and Product Development
Published online 25 March 2022
  1. BPS, Statistik Kakao Indonesia, 148 (2019) [Google Scholar]
  2. D.H. Goenadi, J.B. Baon, S. Abdullah, A. Herman, Purwoto, Prospek dan Arah Pengembangan Agribisnis Kakao 2, (2007) [Google Scholar]
  3. S. Ramlah, Karakteristik mutu dan citarasa cokelat kaya polifenol. Jurnal Industri Hasil Perkebunan, Jurnal Industri Hasil Perkebunan 11, 3-32 (2016) [Google Scholar]
  4. G. Schinella, S. Mosca, E. Cienfuegos-Jovellanos, M.A. Pasamar, B. Muguerza, D. Ramón, J.L. Ríos, Antioxidant properties of polyphenol-rich cocoa products industrially processed, Food Res. Int. 43, 1614-1623 (2010) [Google Scholar]
  5. P. Sari, E. Utari, Y. Praptiningsih, Maryanto, Karakteristik, Kimia-sensori dan stabilitas polifenol minuman cokelat-rempah, Jurnal Agroteknologi 9, 54-66 (2015) [Google Scholar]
  6. S.A. Aribah, A.P. Sanjaya, D.R.A. Muhammad, D. Praseptiangga, Sensorial and physical properties of chocolate beverage prepared using low fat cocoa powder, in AIP conference proceeding 2219, 070007 (2020). [Google Scholar]
  7. S. De Pelsmaeker, X. Gellynck, C. Delbaere, N. Declercq, K. Dewettinck, Consumer-driven product development and improvement combined with sensory analysis: A case-study for European filled chocolates, Food Qual. Prefer. 41, 20-29 (2015) [Google Scholar]
  8. M.K. Kim, K. Lopetcharat, M.A. Drake. Influence of packaging information on consumer liking of chocolate milk, J. Dairy Sci. 96, 4843-4856 (2013). [CrossRef] [Google Scholar]
  9. J. Viaene, R. Januszewska, Quality function deployment in the chocolate industry. Food Quality and Preference, Food Qual. Prefer. 10, 377-385 (1999). [Google Scholar]
  10. V.W. Wimarnaya, G. Fauza, H. Prasetyo, D.R.A. Muhammad, D.R. Affandi, S. Ariviani, Analysis of customer needs for food products using kano model, a case study of steamed brownies, in proceeding of IOP Conference Series: Earth and Environmental Science 828 (2021) [Google Scholar]
  11. M.C. Meilgaard, G.V. Civille, B.T. Carr, Sensory Evaluation Techniques (5th ed.), CRC Press p.173 (2007). [Google Scholar]
  12. K.W. Chapman, H.T. Lawless, K.J. Boor, Quantitative descriptive analysis and principal component analysis for sensory characterization of ultra-pasteurized milk, J. Dairy Sci. 84, 12-20 (2001). [CrossRef] [Google Scholar]
  13. K.A. Moussaoui, P. Varela, Exploring consumer product profiling techniques and their linkage to a quantitative descriptive analysis, Food Qual. Prefer. 21, 1088-1099 (2010). [Google Scholar]
  14. J.C.M. Rivas, M. Dietze, S. Zahn, Y. Schneider, H. Rohm, Diversity of sensory profiles and physicochemical characteristics of commercial hot chocolate drinks from cocoa powders and block chocolates, Eur. Food Res. Technol. 244, 1407-1414 (2018) [Google Scholar]
  15. Mardiana, G. Fauza, D.R.A. Muhammad, D.R. Affandi, S. Ariviani, Sensory profile analysis of steamed brownies using Quantitative Descriptive Analysis (QDA), in proceeding of IOP Conference Series: Earth and Environmental Science 828 (2021) [Google Scholar]
  16. C.S. Leighton, H.C. Schonfeldt, R. Kruger, Quantitative descriptive sensory analysis of five different cultivars of sweet potato to determine sensory and textural profiles, J. Sens. Stud. 25, 2-18 (2008). [Google Scholar]
  17. D. Rahmawati, N. Andarwulan, H.N. Lioe, Identifikasi atribut rasa dan aroma mayonnaise dengan metode quantitative descriptive analysis, Jurnal Mutu Pangan 2, 80-86 (2015). [Google Scholar]
  18. C. Paz-Yépez, I. Peinado, A. Heredia, A. Andrés, Lipids digestibility and polyphenols release under in vitro digestion of dark, milk and white chocolate, J. funct. foods 52 196-203 (2019). [CrossRef] [Google Scholar]
  19. M.E. Zujko, A.M. Witkowska, Antioxidant potential and polyphenol content of beverages, chocolates, nuts, and seeds, Int. J Food Proper. 17 86-92 (2014). [CrossRef] [Google Scholar]
  20. C.R. Voorpostel, M.B. Dutra, H.M. Bolini. Sensory profile and drivers of liking for grape nectar among smoker and non-smoker consumers. Food Sci. Technol. 34 164-73 (2014). [Google Scholar]
  21. H. Stone, J.L. Sidel, Sensory Evaluation Practices (3rd ed.). Food Science and Technology. International Series (2004) [Google Scholar]

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