Physicochemical characterization and consumer preference of rice (Oryza sativa) varieties grown in Costa Rica
DOI:
https://doi.org/10.37527/2022.72.3.004Palabras clave:
Rice, Cooking Preparation, Preference Measurement, Proximal Analysis, Arroz, Método de Preparación, Análisis Sensorial de Preferencia, Análisis ProximalResumen
Introduction: Rice is a staple food in Costa Rica representing almost 24 % of the total calorie intake in the diet. Consumers have become more quality conscious about the rice consumed, so producers need to focus on the quality of rice along with production. Objective: The aim of this study was to investigate the physicochemical profile and consumer preference of five Costa Rican rice varieties: Palmar 18, Basmatico, Chin Chin, INTA-Miravalles, and CR- 5272. Materials and methods: Proximate analysis, amylose, and mineral content were performed in the raw grain. Two different sessions were performed (n=120 each) to evaluate consumer preference measurements using the John Brown R-Index (RJB) index. The first sensory panel selected the best cooking preparation and the second, the preferred rice variety. Instrumental color measurements (L*, C*, hº, DE) were applied to the cooked rice varieties (76-96ºC for 38 min). Results: Regarding the physicochemical characterization, INTAMiravalles showed the highest protein content (8.2%), while Basmatico and Chin Chin, the lowest. Four varieties presented high amylose content (AC) and INTA-Miravalles reported an intermediate AC. The mineral content varied among varieties. INTA-Miravalles showed the highest N, followed by Palmar 18. The cooking preparation from the regulatory agency was preferred by consumers. The consumers’ preference of the varieties ranked from high to low: Basmatico>Chin Chin=CR5772>Palmar 18=INTA-Miravalles. Conclusions: This study suggests that consumer preference for cooked rice was influenced by physicochemical characteristics such as protein, AC, mineral content, and aromatic attributes. Consumer acceptance is an important factor to consider when new varieties are developed. The water-to-rice ratio during cooking played an important role in cooked rice sensory quality.
Introducción: el arroz es un alimento básico de consumo en Costa Rica que representa casi el 24% de la ingesta total de calorías en la dieta. Los consumidores se han vuelto más conscientes de la calidad del arroz que consumen, por lo que los productores deben enfocar esfuerzos en la calidad y producción del arroz. Objetivo: El objetivo de este estudio fue investigar el perfil fisicoquímico y la preferencia del consumidor de cinco variedades de arroz de Costa Rica: Palmar 18, Basmatico, Chin Chin, INTA-Miravalles y CR-5272. Materiales y métodos: Se realizó el análisis proximal, contenido de amilosa (CA) y de minerales en el grano crudo y color instrumental en el arroz cocido. Se realizaron dos mediciones de preferencia de los consumidores (n=120) utilizando el índice R de James Brown (RJB). En la primera se seleccionó el mejor método de preparación y en la segunda, la variedad de arroz preferido. El color instrumental (L*, C*, hº, DE) se midió a las variedades de arroz cocinado (76-96ºC por 38 min). Resultados: Miravalles mostró el mayor contenido en proteínas (8,2%), mientras que Basmatico y Chin Chin, el menor. Cuatro variedades presentaron un alto CA y el INTAMiravalles reportó un CA intermedio. El contenido mineral varió entre las variedades. INTA-Miravalles mostró el mayor contenido de nitrógeno, seguido de Palmar 18. El método de cocción del ente regulador fue el preferido por los consumidores. La preferencia de los consumidores por las variedades de mayor a menor fue: Basmatico > Chin Chin = CR5772 > Palmar 18 = INTA-Miravalles. Conclusiones: La preferencia de los consumidores por el arroz cocido se vio influenciada por características fisicoquímicas como proteína, CA, minerales y atributos aromáticos. La aceptación de los consumidores es un factor importante cuando se desarrollan nuevas variedades. La relación agua/ arroz durante la cocción desempeñó un papel importante en la calidad del arroz cocido.
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Chaudhari PR, Tamrakar N, Singh LN, Tandon A, Sharma D. Rice nutritional and medicinal properties: A review article. J Pharmacogn Phytochem. 2018;7 (2):150–156.
Corporación Arrocera Nacional [CONARROZ]. Informe estadístico período 2017/2018 [Internet]. 2018 [cited 2019 Jun 18]. Available from: https://www.conarroz.com/userfile/file/INFORME_ANUAL_ESTADISTICO_PERIODO_2017_2018.pdf
Kennedy G, Burlingame B, Nguyen VN. Nutritional contribution of rice: impact of biotechnology and biodiversity in rice-consuming countries. Bangkok; 2002.
Oliveira LC, Lima DCN, Bailoni MA, Risso EM, Schmiele M, Steel CJ, et al. Physical Characteristics, Nutritional Quality, and Antioxidant Potential of Extrudates Produced with Polished Rice and Whole Red Bean Flours. Cereal Chem. 2017;94(1):74–81.
Khatoon N, Prakash J. Nutritional Quality of Microwave and Pressure Cooked Rice (Oryza sativa) Varieties. Food Sci Technol Int. 2006;12(4):297–305.
Tuorila H, Hartmann C. Consumer responses to novel and unfamiliar foods. Curr Opin Food Sci. 2020;33:1–8.
Verma DK, Srivastav PP. Proximate Composition, Mineral Content and Fatty Acids Analyses of Aromatic and Non-Aromatic Indian Rice. Rice Sci. 2017;24(1):21–31.
Mestres C, Briffaz A, Valentin D. Rice cooking and sensory quality. In: Bao J, editor. Rice. 4th ed. Hangzhou, China: AACCI. Published by Elsevier Inc. in cooperation with AACC International; 2019. p. 385–426.
Syafutri MI, Pratama F, Syaiful F, Faizal A. Effects of Varieties and Cooking preparations on Physical and Chemical Characteristics of Cooked Rice. Rice Sci. 2016;23(5):282–286.
Yanjie X, Yining Y, Shuhong O, Xiaoliang D, Hui S, Shukun J, et al. Factors Affecting Sensory Quality of Cooked japonica Rice. Rice Sci. 2018;25(6):330–339.
AOAC International. Official Methods of Analysis. 18th ed. Arlington: Association of Official Analytical Chemists; 1999.
Morrison WR, Laignelet B. An improved colorimetric procedure for determining apparent and total amylose in cereal and other starches. J Cereal Sci. 1983;1 (1):9–20
Phan-Thien K-Y, Wright GC, Lee NA. Inductively coupled plasma-mass spectrometry (ICP-MS) and -optical emission spectroscopy (ICP–OES) for determination of essential minerals in closed acid digestates of peanuts (Arachis hypogaea L.). Food Chem. 2012;134(1):453–460.
Xia Y, Song J, Zhong F, Halim J, O’Mahony M. The 9-point hedonic scale: Using R-Index Preference Measurement to Compute Effect Size and Eliminate Artifactual Ties. Food Res Int. 2020; 133;109140.
Bi J, O`Mahony M. Updated and extended table for testing the significance of the r-index. J Sens Stud. 2007;22 (6):713–720.
MEIC/MAG/MS. Reglamento Técnico RTCR 406: 2007 . Arroz en Granaza . Especificaciones y Métodos de Análisis para la Comercialización e Industrialización. Costa Rica; 2007.
Kariyawasam TI, Godakumbura PI, Prashantha MAB, Premakumara GAS. Proximate composition , calorie content and heavy metals ( As , Cd , Pb ) of selected Sri Lankan traditional rice (Oryza sativa L.) Varieties. Procedia Food Sci 2016; 6: 253-256
Erma DK V, Rivastav PPS. ScienceDirect Proximate Composition , Mineral Content and Fatty Acids Analyses of Aromatic and Non-Aromatic Indian Rice. Rice Sci. 2017;24 (1):21–31.
Patindol J, Gu X, Wang YJ. Chemometric analysis of cooked rice texture in relation to starch fine structure and leaching characteristics. Starch/Staerke. 2010;62:188–197.
Lu S, Cik T-T, Lii C, Lai P, Chen H-H. Effect of amylose content on structure, texture and α-amylase reactivity of cooked rice. LWT - Food Sci Technol. 2015; 54 (1): 224–228.
Tao K, Yu W, Prakash S, Gilbert RG. High-amylose rice: Starch molecular structural features controlling cooked rice texture and preference. Carbohydr Polym. 2019;219:251–260.
Li H, Gilbert RG. Starch molecular structure: The basis for an improved understanding of cooked rice texture. Carbohydr Polym. 2018;195:9–17.
Ata-Ul-Karim ST, Zhu Y, Cao Q, Rehmani MIA, Cao W, Tang L. In-season assessment of grain protein and amylose content in rice using critical nitrogen dilution curve. Eur J Agron. 2017;90:139–151.
Wang KM, Wu JG, Li G, Zhang DP, Yang ZW, Shi CH. Distribution of phytic acid and mineral elements in three indica rice (Oryza sativa L.) cultivars. J Cereal Sci. 2011;54(1):116–121.
Champagne E, Bett-garber K, Fitzgerald M, Grimm C, Lea J, Ohtsubo K, et al. Important Sensory Properties Differentiating Premium Rice Varieties. Rice. 2010;3:270–281.
Itani T, Tamaki M, Arai E, Horino T. Distribution of Amylose, Nitrogen, and Minerals in Rice Kernels with Various Characters. J Agric Food Chem. 2002 Sep 1;50(19):5326–5332.
Obón J, Castelar M, Alacid M, Fernández J. Production of a red-purple food colorant from Opuntia stricta fruits by spray drying and its application in food systems. J Food Eng. 2009;90:471–479.
Yu L, Turner MS, Fitzgerald M, Stokes JR, Witt T. Review of the effects of different processing technologies on cooked and convenience rice quality. Trends Food Sci Technol. 2017;59:124–138.
Kwak HS, Kim M, Lee Y, Jeong Y. Identification of key sensory attributes for consumer acceptance and instrumental quality of aseptic-packaged cooked rice. Int J Food Sci Technol. 2015 Mar 1;50(3):691–699.
Kang M-Y, Rico CW, Kim C-E, Lee S-C. Physicochemical Properties and Eating Qualities of Milled Rice from Different Korean Elite Rice Varieties. Int J Food Prop. 2011 Mar 29;14(3):640–53.
Morales C. Variedades de arroz adaptadas a los sistemas de secano en laderas. Alcances Tecnológicos. 2016;11(1):49–57.
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Derechos de autor 2022 Carolina Guadamuz-Mayorga, Elba Cubero-Castillo, Alvaro Azofeifa, Maria Laura Montero, Adriana Araya-Morice
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