한국식품저장유통학회지 (Food Science and Preservation)

  • 제30권4호
  • /
  • Pages.602-616
  • /
  • 2023
  • /
  • 3022-5477(pISSN)
  • /
  • 3022-5485(eISSN)
한국식품저장유통학회 (The Korean Society of Food Preservation)
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A comparative study of the physical and cooking characteristics of common types of rice collected from the market by quantitative statistical analysis

  • Evan Butrus Ilia (Food Technology Department, College of Agricultural Engineering Sciences, Salahaddin University-Erbil) ;
  • Mahmood Fadhil Saleem (Food Technology Department, College of Agricultural Engineering Sciences, Salahaddin University-Erbil) ;
  • Hamed Hassanzadeh (Department of Food Science and Hygiene, Faculty of Para-Veterinary, Ilam University)
  • 투고 : 2023.06.20
  • 심사 : 2023.08.20
  • 발행 : 2023.08.30
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초록

Fifteen types of rice collected from Kurdistan region-Iraq were investigated by principal component analysis (PCA) in terms of physical properties and cooking characteristics. The dimensions of evaluated grains correspond to 5.05-8.75 mm for length, 1.54-2.47 mm for width, and 1.37-1.95 for thickness. The equivalent diameter was in the range of 5.23-10.03 mm, and the area took 13.30-28.25 mm2. The sphericity analysis values varied from 0.32 to 0.56, the aspect ratio from 0.17 to 0.39, and the volume of the grain was measured in the range from 4.48 to 17.74 mm3, hectoliter weight values were 730-820 kg/m3, and true density from 0.6 to 0.96 g/cm3. The broken grain ratio was 1.5-18.3%, thousand kernel weight corresponded to 15.88 to 22.42 g. The water uptake ratios for 30 min of soaking were increased at 60℃ compared to 30 and 45℃. The PCA was used to study the correlation of the most effective factors. Results of PCA showed that the first (PC1) and second (PC2) components retained 63.4% and 34.8% of the total variance, which PC1 was mostly related to hectoliter, broken ratio, and moisture content characteristics while PC2 was mostly concerned with hardness and true density. For cooking properties, the PC1 and PC2 retained 88.5% and 9.3% of the total variance, respectively. PC1 was mostly related to viscosity, spring value, and hardness after cooking, while PC2 was mostly concerned with spring value, hardness before cooking, and hardness after cooking.

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참고문헌

  1. Adewusi KM, Showemimo FA, Nassir AL, Oguntade OA. Evaluation of M6 Ofada rice mutant selections and parents for grain physico-chemical and nutritional characters. Nigeria Agric J, 53, 234-243 (2022)
  2. Alkerwi AA. Diet quality concept. Nutrition, 30, 613-618 (2014) https://doi.org/10.1016/j.nut.2013.10.001
  3. Armstrong PR, Maghirang EB, Chen MH, McClung AM, Yaptenco KF, Brabec D, Wu T. Predicting single kernel and bulk milled rice alkali spreading value and gelatinization temperature class using NIR spectroscopy. Cereal Chem, 99, 1234-1245 (2022) https://doi.org/10.1002/cche.10587
  4. Azmi N, Kamarudin LM, Zakaria A, Ndzi DL, Rahiman MHF, Zakaria SMMS, Mohamed L. RF-based moisture content determination in rice using machine learning techniques. Sensors, 21, 1875 (2021)
  5. Bandumula N. Rice production in Asia: Key to global food security. Proc Natl Acad Sci, India Sect B: Biol Sci, 88, 1323-1328 (2018) https://doi.org/10.1007/s40011-017-0867-7
  6. Bergman CJ. Rice end-use quality analysis. In: Rice, AACC International Press, p 273-337 (2019) 
  7. Chen Y, Hua CY, Chen JX, Rathinasabapathi B, Cao Y, Ma LQ. Expressing arsenite antiporter PvACR3; 1 in rice (Oryza sativa L.) decreases inorganic arsenic content in rice grains. Environ Sci Technol, 53, 10062-10069 (2019) https://doi.org/10.1021/acs.est.9b02418
  8. Cinar I, Koklu M. Identification of rice varieties using machine learning algorithms. J Agric Sci, 28, 307-325 (2022) https://doi.org/10.15832/ankutbd.862482
  9. Custodio MC, Cuevas RP, Ynion J, Laborte AG, Velasco ML, Demont M. Rice quality: How is it defined by consumers, industry, food scientists, and geneticists? Trends Food Sci Technol, 92, 122-137 (2019) https://doi.org/10.1016/j.tifs.2019.07.039
  10. Duangkhamchan W, Phomphai A, Wanna R, Wiset L, Laohavanich J, Ronsse F, Pieters JG. Infrared heating as a disinfestation method against Sitophilus oryzae and its effect on textural and cooking properties of milled rice. Food Bioproc Technol, 10, 284-295 (2017) https://doi.org/10.1007/s11947-016-1813-z
  11. Enagi IM, Yisa ES, Adebayo CO. Rice Grain Quality and Consumers Preference in Lavun and Paikoro Local Government Areas of Niger State, ASN, Nigeria, 917-924 (2021)
  12. Ewaid SH, Abed SA, Al-Ansari N. Assessment of main cereal crop trade impacts on water and land security in Iraq. Agronomy, 10, 98 (2020)
  13. Hu W, Zhang C, Jiang Y, Huang C, Liu Q, Xiong L, Yang W, Chen F. Nondestructive 3D image analysis pipeline to extract rice grain traits using X-ray computed tomography. Plant Phenomics, 2020, 3414926 (2020)
  14. Hu X, Zhang W, Lu L, Shao Y, Chen M, Zhu Z, Mou R. Comparison of quality of appearance, cooking quality, and protein content of green-labeled rice and conventional rice. Cereal Chem, 99, 873-883 (2022) https://doi.org/10.1002/cche.10543
  15. Jeazet Dongho Epse Mackon GC, Mackon E, Ma Y, Zhao Y, Yao Y, Dai X, Liu P. Development of the PARMS markers of the waxy gene and utilization in discriminating wild accessions, and cultivated rice (Oryza sativa L.) with different eating and cooking quality. Agronomy, 12, 1294 (2022)
  16. Jogihalli P, Singh L, Sharanagat VS. Effect of microwave roasting parameters on functional and antioxidant properties of chickpea (Cicer arietinum). LWT-Food Sci Technol, 79, 223-233 (2017) https://doi.org/10.1016/j.lwt.2017.01.047
  17. Kholova J, Urban MO, Cock J, Arcos J, Arnaud E, Aytekin D, Azevedo V, Barnes AP, Ceccarelli S, Chavarriaga P, Cobb JN, Cooper M, Craufurd P, Debouck D, Fungo R, Grando S, Hammer GL, Jara CE, Messina C, Mosquera G, Nchanji E, Ng EH, Prager S, Sankaran S, Selvaraj M, Tardieu F, Thornton P, Valdes-Gutierrez SP, Etten JV, Wenzl P, Xu Y. In pursuit of a better world: Crop improvement and the CGIAR. J Exp Bot, 72, 5158-5179 (2021) https://doi.org/10.1093/jxb/erab226
  18. Koklu M, Ozkan IA. Multiclass classification of dry beans using computer vision and machine learning techniques. Comput Electron Agric, 174, 105507 (2020)
  19. Koten M, Unsal AS, Kahraman S. Physicochemical, nutritional, and cooking properties of local Karacadag rice (Oryza sativa L.)-Turkey. Int Food Res J, 27, 435-444 (2020)
  20. Li N, Xu R, Duan P, Li Y. Control of grain size in rice. Plant Reprod, 31, 237-251 (2018) https://doi.org/10.1007/s00497-018-0333-6
  21. Liu J, Ellies-Oury MP, Stoyanchev T, Hocquette JF. Consumer perception of beef quality and how to control, improve and predict it? Focus on eating quality. Foods, 11, 1732 (2022)
  22. Myint MM, Soe ANY, Thandar S, Lin TT, Aung WW, Lynn TM. Evaluation of physicochemical characteristics and genetic diversity of widely consumed rice varieties in Kyaukse area, Myanmar. Plant Sci Today, 10, 415-425 (2023)
  23. Nadaf A, Mathure S, Jawali N. Quality parameter assessment in scented rice cultivars. In: Scented Rice (Oryza sativa L.) Cultivars of India: A Perspective on Quality and Diversity, Springer, Berlin, Germany, p 31-56 (2016)
  24. Nadvornikova M, Banout J, Herak D, Verner V. Evaluation of physical properties of rice used in traditional Kyrgyz cuisine. Food Sci Nutr, 6, 1778-1787 (2018) https://doi.org/10.1002/fsn3.746
  25. Phongnarisorn B, Pichaiyut N, Tongkaew P. Gluten-free pancakes and waffles prepared from riceberry flour instant mix with xanthan gum addition: Physical, sensory and chemical properties. Agric Nat Resour, 57, 1-10 (2023)
  26. Pokhrel A, Dhakal A, Sharma S, Poudel A. Evaluation of physicochemical and cooking characteristics of rice (Oryza sativa L.) landraces of Lamjung and Tanahun districts, Nepal. Int J Food Sci, 2020, 1589150 (2020)
  27. Saleh M, Meullenet JF. Cooked rice texture and rice flour pasting properties; Impacted by rice temperature during milling. J Food Sci Technol, 52, 1602-1609 (2015) https://doi.org/10.1007/s13197-013-1180-y
  28. Sharif MK, Butt MS, Sharif HR, Nasir M. Sensory evaluation and consumer acceptability. Handbook Food Sci Technol, 10, 362-386 (2017)
  29. Sharma N, Khanna R. Rice grain quality: Current developments and future prospects. Recent Advances in Grain Crops Research, 5772, 89367 (2019)
  30. Shittu TA, Olaniyi M, Oyekanmi A, Okeleye K. Physical and water absorption characteristics of some improved rice varieties. Food Bioproc Technol, 5, 298-309 (2012)
  31. Smanalieva J, Salieva K, Borkoev B, Windhab EJ, Fischer P. Investigation of changes in chemical composition and rheological properties of Kyrgyz rice cultivars (Ozgon rice) depending on long-term stack-storage after harvesting. LWT-Food Sci Technol, 63, 626-632 (2015) https://doi.org/10.1016/j.lwt.2015.03.045
  32. Soto-Gomez D, Perez-Rodriguez P. Sustainable agriculture through perennial grains: Wheat, rice, maize, and other species. A review. Agric Ecosyst Environ, 325, 107747 (2022)
  33. Steven S, Restiawaty E, Bindar Y. Simple mass transfer simulation using a single-particle heterogeneous reaction approach in rice husk combustion and rice husk ash extraction. IOP Conf Ser: Earth Environ Sci, 963, 012050 (2022) https://doi.org/10.1088/1755-1315/963/1/012050
  34. Varnamkhasti MG, Mobli H, Jafari A, Keyhani A, Soltanabadi MH, Rafiee S, Kheiralipour K. Some physical properties of rough rice (Oryza Sativa L.) grain. J Cereal Sci, 47, 496-501 (2008) https://doi.org/10.1016/j.jcs.2007.05.014
  35. You H, Zafar S, Zhang F, Zhu S, Chen K, Shen C, Zhao X, Zhang W, Xu J. Genetic mechanism of heterosis for rice milling and appearance quality in an elite rice hybrid. Crop J, 10, 1705-1716 (2022) https://doi.org/10.1016/j.cj.2022.05.001