Delimitación de una región de alta aceptabilidad para un dulce de zanahoria mediante diseño de vértices extremos

Autores/as

DOI:

https://doi.org/10.29057/icea.v14iEspecial.16650

Palabras clave:

Mezclas, Optimización, superficie, sensorial, formulación

Resumen

Los productos de confitería elaborados con bases vegetales requieren ajustar con precisión las proporciones de sus componentes para alcanzar niveles adecuados de agrado sensorial. Este estudio tuvo como objetivo optimizar la formulación de un dulce enchilado a base de zanahoria mediante la modelación del efecto de zanahoria en polvo, mezcla de chiles y sal sobre la aceptabilidad general, utilizando un diseño de mezclas de vértices extremos para definir el espacio experimental. Se generaron nueve formulaciones dentro de límites preestablecidos y fueron evaluadas por 30 panelistas en una escala hedónica de 5 puntos; posteriormente, se ajustó un modelo cúbico especial mediante mínimos cuadrados ordinarios, cuya adecuación se examinó con ANOVA, diagnósticos residuales y validación cruzada. Las superficies de respuesta permitieron explorar el comportamiento de la mezcla, mostrando que zanahoria y chile explicaron la mayor parte de la variabilidad, mientras que la capacidad predictiva del modelo fue moderada y presentó indicios de sobreajuste. Los gráficos de contorno señalaron una región favorable caracterizada por niveles altos de zanahoria, cantidades moderadas de chile y sal controlada, aunque la solución obtenida por optimización numérica quedó fuera del espacio de mezcla factible. En conclusión, los resultados permitieron identificar zonas promisorios de formulación y reforzaron la necesidad de ampliar el número de ensayos, aplicar restricciones más estrictas y validar experimentalmente las combinaciones propuestas.

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[1] Blanch GP, Astocondor LF, Ruiz del Castillo ML. Bioactive Compounds, Physical Parameters and Sensory Attributes of Purple Carrot-Enriched Maize Extrudates. Foods 2025;14:3218. https://doi.org/10.3390/foods14183218.

[2] Valero-Cases E, Frutos MJ, Pérez-Llamas F. Development of synbiotic vegan beverages: probiotic viability, sensory profile, consumers’ acceptance and functional stability. Int J Food Sci Technol 2023;58:2325–35.

[3] Yu J, Park S-J, Lee H-J. Physicochemical Properties and Sensory Evaluation of Low-Sugar Collagen Jelly Using Fruit and Vegetable Powder. Foods 2025;14:3407. https://doi.org/10.3390/foods14193407.

[4] Alasalvar C, Grigor JM, Zhang D, Quantick PC, Shahidi F. Comparison of volatiles, phenolics, sugars, antioxidant vitamins, and sensory quality of different colored carrot varieties. J Agric Food Chem 2001;49:1410–6.

[5] Haas K, Robben P, Kiesslich A, Volkert M, Jaeger H. Stabilization of Crystalline Carotenoids in Carrot Concentrate Powders: Effects of Drying Technology, Carrier Material, and Antioxidants. Foods 2019;8:285. https://doi.org/10.3390/foods8080285.

[6] Park JJ, Olawuyi IF, Park GD, Lee WY. Effects of gelling agents and sugar substitutes on the quality characteristics of carrot jelly. Food Sci Preserv 2021;28:469–79.

[7] Gangawane H, Todkar A, Adil S, Rana K, Bodhankar H. Development and Evaluation of a Functional Fiber-rich Bar Incorporating Lotus Stem and Carrot Pomace. Eur J Med Plants 2025;36:30–9. https://doi.org/10.9734/ejmp/2025/v36i31261.

[8] Hernández-Ortega M, Kissangou G, Necoechea-Mondragón H, Sánchez-Pardo ME, Ortiz-Moreno A. Microwave dried carrot pomace as a source of fiber and carotenoids 2013.

[9] Olawuyi IF, Lee WY. Quality and antioxidant properties of functional rice muffins enriched with shiitake mushroom and carrot pomace. Int J Food Sci Technol 2019;54:2321–8.

[10] Luca MI, Ungureanu-Iuga M, Mironeasa S. Carrot Pomace Characterization for Application in Cereal-Based Products. Appl Sci 2022;12:7989. https://doi.org/10.3390/app12167989.

[11] Martins GAR, Augusto PPC, Luccas V, André Bolini HM. Assessing the temporal profile and liking of sugar-free spicy dark chocolates with different concentrations of Capsicum baccatum pepper and rebaudioside A. J Sci Food Agric 2025.

[12] Tarigan EB, Hardianti CA, Rifqi M. Exploring the Sensory Profile of Stevia Coffee Using Rate-All-That-Apply (RATA) Method and Chemical Analysis. Indones J Appl Res IJAR 2024;5:48–63.

[13] Yuniarti T, Prayudi A, Setiarto RHB, Martosuyono P, Supenti L, Suhrawardan H, et al. Formulation and organoleptic characteristics of flavor enhancer from shrimp head protein hydrolysate. Food Res 2024;8:148–59.

[14] Ludy M-J, Mattes RD. The effects of hedonically acceptable red pepper doses on thermogenesis and appetite. Physiol Behav 2011;102:251–8.

[15] Swint J, Beining K, Bryant J, Tucker R, Ludy M-J. Capsaicin and Capsiate: Comparison of Effects at a Traditional Meal. FASEB J 2015;29:924–11.

[16] Capitanio A, Lucci G, Tommasi L. Mixing taste illusions: the effect of miraculin on binary and trinary mixtures. J Sens Stud 2011;26:54–61.

[17] Yılmaz E, Keskin Uslu E. Physicochemical, Rheological, and Sensory Properties of Low-Fat Mayonnaises Formulated With Flaxseed Oil-Based Sunflower and Whale Wax Oleogels. J Am Oil Chem Soc 2025.

[18] Galvan D, Effting L, Cremasco H, Conte-Junior CA. Recent Applications of Mixture Designs in Beverages, Foods, and Pharmaceutical Health: A Systematic Review and Meta-Analysis. Foods 2021;10:1941. https://doi.org/10.3390/foods10081941.

[19] Li Y, Zhang Y, Wang M, Jiang L, Sui X. Simplex-centroid mixture design applied to the aqueous enzymatic extraction of fatty acid-balanced oil from mixed seeds. J Am Oil Chem Soc 2013;90:349–57.

[20] Squeo G, De Angelis D, Leardi R, Summo C, Caponio F. Background, Applications and Issues of the Experimental Designs for Mixture in the Food Sector. Foods 2021;10:1128. https://doi.org/10.3390/foods10051128.

[21] Carboni AD, Puppo MC, Ferrero C. Gluten-free lentil cakes with optimal technological and nutritional characteristics. J Sci Food Agric 2024;104:6298–310.

[22] Malvano F, Laudisio M, Albanese D, d’Amore M, Marra F. Olive Oil-Based Oleogel as Fat Replacer in a Sponge Cake: A Comparative Study and Optimization. Foods 2022;11:2643. https://doi.org/10.3390/foods11172643.

[23] Zhang Y, Shen Y, Ding J, Zhou H, Zhao H, Cheng H, et al. Optimization of Microbial Consortium Formulation for Oily Food Waste Composting Using Mixture Design Methodology. Microorganisms 2025;13:2066.

[24] Mondal IH, Rangan L, Uppaluri RV. Process-product characteristics of tray-dried Benincasa hispida. J Food Process Preserv 2020;44:e14697.

[25] Parthasarathi S, Anandharamakrishnan C. Modeling of shrinkage, rehydration and textural changes for food structural analysis: A review. J Food Process Eng 2014;37:199–210.

[26] Miani M, Dunnhofer M, Rondinella F, Manthos E, Valentin J, Micheloni C, et al. Bituminous Mixtures Experimental Data Modeling Using a Hyperparameters-Optimized Machine Learning Approach. Appl Sci 2021;11:11710. https://doi.org/10.3390/app112411710.

[27] Hoseini Vaez SR, Minaei Z. Pulse extraction of pulse-like ground motions based on particle swarm optimization algorithm. Sci Iran 2020;27:134–58.

[28] Navarrete Juarez B, García Curiel L, Pérez Flores JG, Contreras López E, Pérez Escalante E, Escobar Ramírez MC, et al. Optimización del nivel de aceptabilidad de un dulce de apio. Arandu UTIC 2024;11:358–78. https://doi.org/10.69639/arandu.v11i2.272.

[29] Lawson J, Willden C. Mixture Experiments in R Using mixexp. J Stat Softw 2016;72. https://doi.org/10.18637/jss.v072.c02.

[30] Cruz-Enriquez JA, García-Curiel L, Pérez-Flores JG, Contreras-López E, Pérez-Escalante E, Soto-Vega K, et al. Lemon-Flavored Gummy Candies: Sourness, Flavor and Overall Acceptance Optimization Using Lattice-Simplex Mixture Design Implemented with Python Programming Language. 5th Int. Electron. Conf. Foods, MDPI; 2025, p. 41. https://doi.org/10.3390/blsf2024040041.

[31] Sotomayor A, Pitizaca S, Sánchez M, Burbano A, Díaz A, Nicolalde J, et al. Evaluación físico química de fruta de pitahaya Selenicereus megalanthus en diferentes estados de desarrollo. Enfoque UTE 2019;10:89–96. https://doi.org/10.29019/enfoqueute.v10n1.386.

[32] Nikolovski BG, Ilić JD, Sovilj MN. How to Formulate a Stable and Monodisperse Water-in-Oil Nanoemulsion Containing Pumpkin Seed Oil: The Use of Multiobjective Optimization. Braz J Chem Eng 2016;33:919–31. https://doi.org/10.1590/0104-6632.20160334s20140140.

[33] Wanyonyi M, Kiluyi JW, Okango AA. Optimization of a Functional Beverage Formulation Using a Constrained Mixture Design with Multiple Responses. Asian J Probab Stat 2025;27:1–16. https://doi.org/10.9734/ajpas/2025/v27i1699.

[34] Cuevas J, Reslow F, Crossa J, Ortiz R. Modeling genotype × environment interaction for single and multitrait genomic prediction in potato ( Solanum tuberosum L.). G3 2023;13:jkac322. https://doi.org/10.1093/g3journal/jkac322.

[35] Kodili EG, Elechi ON. Evaluation and Optimization of the Physical and Sensory Properties of Enhanced Bread Produced From Wheat Flour and Chemically Modified African Yam Bean and Cassava Starches. Int J Res Sci Innov 2022;09:110–23. https://doi.org/10.51244/IJRSI.2022.9411.

[36] Qi NP, Ibrahim NH, Hasim AS. Effect of Pea Protein Isolate, Carboxymethyl Cellulose, Pectin and Their Interaction on Physicochemical and Oxidative Stability of Oil-in-Water Emulsions. Univ Malays Teren J Undergrad Res 2019;1:8–18. https://doi.org/10.46754/umtjur.v1i2.61.

[37] Frank B. The formation of consumer attitudes and intentions towards fast food restaurants: How do teenagers differ from adults? Manag Serv Qual Int J 2012;22:260–82. https://doi.org/10.1108/09604521211230987.

[38] Godstime I. Sustainable Energy from Waste: Experimental Investigation and Optimization of Hybrid Biomass Briquette Production Using a Modified Briquetting Machine 2025. https://doi.org/10.21203/rs.3.rs-7909513/v1.

[39] Sadiq FA, De Reu K, Burmølle M, Maes S, Heyndrickx M. Synergistic interactions in multispecies biofilm combinations of bacterial isolates recovered from diverse food processing industries. Front Microbiol 2023;14:1159434. https://doi.org/10.3389/fmicb.2023.1159434.

[40] Michael HU, Rapulana AM, Smit T, Xulu N, Danaviah S, Ramlall S, et al. The Association Between Serum Mature and Precursor Brain-Derived Neurotrophic Factor and Neurocognitive Function in People With Human Immunodeficiency Virus: A Longitudinal Study. Open Forum Infect Dis 2024;11:ofae463. https://doi.org/10.1093/ofid/ofae463.

[41] Ronquillo CE, Dahinten VS, Bungay V, Currie LM. Differing Effects of Implementation Leadership Characteristics on Nurses’ Use of mHealth Technologies in Clinical Practice: Cross-Sectional Survey Study. JMIR Nurs 2023;6:e44435. https://doi.org/10.2196/44435.

[42] Smith RA, Brown MG, Schiltz JJ, Sowl S, Schulz JM, Grady KA. The Value of Interpersonal Network Continuity for College Students in Disruptive Times. Innov High Educ 2023;48:719–38. https://doi.org/10.1007/s10755-023-09647-8.

[43] McCartney D, Desbrow B, Irwin C. The Effect of Fluid Intake Following Dehydration on Subsequent Athletic and Cognitive Performance: a Systematic Review and Meta-analysis. Sports Med - Open 2017;3:13. https://doi.org/10.1186/s40798-017-0079-y.

[44] Ançay L, Nicole S, San‐Jose LM, Roulin A. Individual and environmental factors influencing preen gland’s morphology and physiology in the barn owl Tyto alba. J Avian Biol 2024;2024:e03247. https://doi.org/10.1111/jav.03247.

[45] Cakir G, Isik U, Ustun UD, Su N, Gumusgul O. Resilience among Turkish adolescents: A multi-level approach. PLOS ONE 2024;19:e0300165. https://doi.org/10.1371/journal.pone.0300165.

[46] Jiménez – López FJ, Lara – Romero C, Iriondo JM, Rubio Teso ML, García – Fernández A. Evidence of flowering time advance in blue lupin ( Lupinus angustifolius ) in the last decades revealed by herbarium data and citizen science databases 2024. https://doi.org/10.1101/2024.12.21.628886.

[47] Jeradechachai T, Hall C. Development of a gluten‐free bread with added heat‐treated yellow pea flour: Application of response surface methodology. Cereal Chem 2024;101:85–98. https://doi.org/10.1002/cche.10725.

[48] Mahawar MK, Jalgaonkar K, Bibwe B, Kulkarni T, Bhushan B, Meena VS. Optimization of mixed aonla-guava fruit bar using response surface methodology. Nutr Food Sci 2018;48:621–30. https://doi.org/10.1108/NFS-09-2017-0189.

[49] Patel M, Lee R, Merchant EV, Juliani HR, Simon JE, Tepper BJ. Descriptive aroma profiles of fresh sweet basil cultivars ( Ocimum spp .): Relationship to volatile chemical composition. J Food Sci 2021;86:3228–39. https://doi.org/10.1111/1750-3841.15797.

[50] Prabsangob N, Hangsalad S, Udomrati S. Okra cellulose crystals stabilized Pickering emulsion: A practical tool for soybean oil inclusion to improve nutritive profile of sausages. Food Chem X 2025;27:102356. https://doi.org/10.1016/j.fochx.2025.102356.

[51] Zhang J, Zhang R, Wang P, Wen P, Zhang W, Liu S, et al. Impact of chitosan on lipid digestion under simulated gastro-intestinal conditions. Food Chem X 2025;31:103014. https://doi.org/10.1016/j.fochx.2025.103014.

[52] Abasiekong KS, Nwabueze TU, Akobundu EN. Optimization of African Breadfruit Based Complementary Food Using Mixture Response Surface Methodology. Asian Food Sci J 2023;22:1–9. https://doi.org/10.9734/afsj/2023/v22i4626.

[53] Chandar AG, Sivasankari K, Lakshmi SL, Sugumaran S, Kannadhasan S, Balakumar S. An innovative smart agriculture system utilizing a deep neural network and embedded system to enhance crop yield. Multidiscip Sci J 2023;6:2024063. https://doi.org/10.31893/multiscience.2024065.

[54] Li A, Yang K. Digital Phenotyping of Sensation Seeking: A Machine Learning Approach Using Gait Analysis. Behav Sci 2025;15:1222. https://doi.org/10.3390/bs15091222.

[55] Xu H-R, Zhang Y-Q, Wang S, Wang W-D, Yu N-N, Gong H, et al. Optimization of functional compounds extraction from Ginkgo biloba seeds using response surface methodology. Qual Assur Saf Crops Foods 2022;14:102–12. https://doi.org/10.15586/qas.v14i1.1033.

[56] Lv R, Zuo C, Tu K, Pan L, Liu L, Peng J. Optimizing chitosan‐enriched salicylic acid coating to extend the shelf‐life of fresh‐cut radishes using response surface methodology. Food Bioeng 2023;2:328–38. https://doi.org/10.1002/fbe2.12075.

[57] Tang Z, Chen Z, Gao Y, Xue R, Geng Z, Bu Q, et al. A Strategy for the Acquisition and Analysis of Image-Based Phenome in Rice during the Whole Growth Period. Plant Phenomics 2023;5:0058. https://doi.org/10.34133/plantphenomics.0058.

[58] Rios F, Lobo M, Samman N. Acceptability of beehive products as ingredients in quinoa bars. J Sci Food Agric 2018;98:174–82. https://doi.org/10.1002/jsfa.8452.

[59] Gonçalves DM, Henriques R, Costa RS. Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approaches. Comput Struct Biotechnol J 2023;21:4960–73. https://doi.org/10.1016/j.csbj.2023.10.002.

[60] Yan J, Yan X, Hu S, Zhu H, Yan B. Comprehensive Interrogation on Acetylcholinesterase Inhibition by Ionic Liquids Using Machine Learning and Molecular Modeling. Environ Sci Technol 2021;55:14720–31. https://doi.org/10.1021/acs.est.1c02960.

[61] Benitez LO, Petelin R, Malvasio M, Monetta D, Rasia M, Musumeci MA, et al. Rice bran oil-in-water optimized emulsions for the development of plant-based foods and beverages. Explor Foods Foodomics 2024;2:67–82. https://doi.org/10.37349/eff.2024.00026.

[62] Peter EL, Sesaazi CD. D-optimal mixture design optimized solid formulation containing fruits extracts of Momordica charantia and Abelmoschus esculentus. PLOS ONE 2022;17:e0270547. https://doi.org/10.1371/journal.pone.0270547.

[63] Oh E, Kim U, Lee B-J, Moon C. Multivariate Statistical Optimization of Tablet Formulations Incorporating High Doses of a Dry Herbal Extract. Pharmaceutics 2019;11:79. https://doi.org/10.3390/pharmaceutics11020079

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Publicado

2026-01-30

Cómo citar

Pérez-Flores, J. G., Hernández-Callejas, Y. C., García-Curiel, L., Ocampo-Salinas, I. O., Pérez-Escalante, E., Ángel-Jijón, C., & Trejo-Díaz, G. N. (2026). Delimitación de una región de alta aceptabilidad para un dulce de zanahoria mediante diseño de vértices extremos. Boletín Científico De Las Ciencias Económico Administrativas Del ICEA, 14(Especial), 98–108. https://doi.org/10.29057/icea.v14iEspecial.16650

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