Abstract
With continuous rise of table grapes consumption and increased public awareness of food safety, the quality control of grapes in storage after purchase is not sufficiently examined. Home storage constitutes the last and important stage in grape supply chain. Literature review shows that few researches on grape quality focus on the home storage stage compared with numerous researches reported on the quality control during postharvest and transportation process. This paper reports the performance evaluation of grape quality at home storage and consumers’ satisfaction using integrated sensory evaluations. The internal attributes, including Texture, Taste and Odor of the table grapes and the appearance indices, Color and Cleanliness are examined. Key results show that during home storage, all the internal attributes decrease rapidly as time goes on, and cleanliness and color appear to be deteriorating in a lower speed. A comprehensive quality index was created to measure the quality of table grape which has high correlation with the Overall acceptability perceived by consumers.
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References
Abbott JA (1999) Quality measurement of fruits and vegetables. Postharvest Biol Tec 15:207–225
Baar C, Sebok A, Horvath E, Percsi S, Hegyi A and Campden TK (2005) Storage conditions and consumer handling practices of processed meat products in household refrigerators. Project Grant No. GVOP - 3.1.1. - 2004-05-0152/3.0. National Office of Research and Technology (NKTH) of the Hungarian Republic
Brady PL, Morris JR (2009) Good agricultural and handling practices for grapes and other fresh produce. Univ. of Arkansas Agric. Exp. Station Res. Rept. #984. http://arkansasagnews.uark.edu/984.pdf. Accessed 18 March 2013
Brueckner B, Schwarzbach A, Schrödter R (2010) Correlation between sugar and saponin contents and sensory attributes of white asparagus. J Verbr Lebensm 5:305–311
Chan APC, Yung EHK, Lam PTI, Tam CM, Cheung SO (2001) Application of Delphi method in selection of procurement systems for construction projects. Constr Manag and Econ 19:699–718
Chouksey S, Singh A, Thakur RS, Deshmukh R (2013) Influence of gamma irradiation and benzyl adenine on keeping quality of custard apple fruits during storage. J Food Sci Technol 50(5):934–941
Ciccarese A, Stellacci AM, Gentilesco G, Rubino P (2013) Effectiveness of pre- and post-veraison calcium applications to control decay and maintain table grape fruit quality during storage. Postharvest Biol Tec 75:135–141
Costa C, Lucera A, Conte A, Mastromatteo M, Speranza B, Antonacci A, Del Nobile MA (2011) Effects of passive and active modified atmosphere packaging conditions on ready-to-eat table grape. J Food Eng 102(2):115–121
Cyprian OO, Sveinsdóttir K, Magnússon H, Martinsdóttir E (2008) Application of quality index method (QIM) scheme and effects of short-time temperature abuse in shelf life study of fresh water arctic char (salvelinus alpinus). J Aquat Food Prod T 17(3):303–321
Debjani C, Das S, Das H (2011) Aggregation of sensory data using fuzzy logic for sensory quality evaluation of food. J Food Sci Technol. doi:10.1007/s13197-011-0433-x
Deng Y (2006) Studies on major quality changes of kyoho grape under controlled atmosphere cold storage. Shanghai Jiao Tong University, Dissertation
Deng Y, Wu Y, Li Y, Yang M, Shi C, Zheng C (2007) Studies of postharvest berry abscission of ‘kyoho’ table grapes during cold storage and high oxygen atmospheres. Postharvest Biol Tec 43(1):95–101
Di Miceli C, Infante R, Inglese P (2010) Instrumental and sensory evaluation of eating quality of peaches and nectarines. Eur J Hort Sci 75(3):97–102
Gharibi H, Mahvi AH, Nabizadeh R, Arabalibeik H, Yunesian M, Sowlat MH (2012) A novel approach in water quality assessment based on fuzzy logic. J Environ Manag 112:87–95
Ghosh D, Chattopadhyay P (2012) Application of principal component analysis (PCA) as a sensory assessment tool for fermented food products. J Food Sci Technol 49(3):328–334
González-Aguilar GA, Ayala-Zavala JF, Olivas GI, de la Rosa LA, Álvarez-Parrilla E (2010) Preserving quality of fresh-cut products using safe technologies. J Verbr Lebensm 5:65–72
Heintz CM, Kader AA (1983) Procedures for the sensory evaluation of horticultural crops. Hortscience 18(1):18–22
Higgins A, Mangan A, Kerrigan A, Laffan S and Klein S (2009) Activity, ICT, and material infrastructure in complex multi-organisational settings: an assessment of innovation potential for pharmaceutical cold chain transport and handling. 22nd bled eConference eEnablement: facilitating an open, Effective and Representative eSociety, Bled, Slovenia. pp: 1—15
James SJ, Evans J, James C (2008) A review of the performance of domestic refrigerators. J Food Eng 87(1):2–10
Jevšnik M, Hlebec V, Raspor P (2008) Consumers' awareness of food safety from shopping to eating. Food Control 19:737–745
Joshi R, Banwet DK, Shankar R (2010) Consumer link in cold chain: Indian scenario. Food Control 21:1137–1142
Mohapatra D, Bira ZM, Frias JM, Kerry JP, Rodrigues FA (2011) Probabilistic shelf life assessment of white button mushrooms through sensorial properties analysis. LWT-Food Sci Technol 44:1443–1448
Molnár PJ (1995) A model for overall description of foodquality. Food Qual Prefer 6:185–190
Moss MO (2002) Mycotoxin review-1. aspergillus and penicillium. Mycologist 16(3):116–119
Mu WS, Feng JY (2010) The research of economic issues of grape industry in China. China Agricultural University Press, Beijing
Ovca A, Jevšnik M (2009) Maintaining a cold chain from purchase to the home and at home: consumer opinions. Food Control 20:167–172
Park S-I, Kodihalli I, Yanyun Z (2005) Nutritional, sensory, and physicochemical properties of vitamin E- and mineralfortified fresh-cut apples by use of vacuum impregnation. J Food Sci 70:S593–S599
Pecore S, Kellen L (2002) A consumer-focused QC/sensory program in the food industry. Food Qual Prefer 13(6):369–374
Sabır A, Sabır FK, Kara Z (2011) Effects of modified atmosphere packing and honey dip treatments on quality maintenance of minimally processed grape cv. Razaki (V. vinifera L.) during cold storage. J Food Sci Technol 48(3):312–318
Simpson R, Almonacid S, Nuñez H, Pinto M, Abakarov A, Teixeira A (2012) Time-temperature indicator to monitor cold chain distribution of fresh salmon (salmo salar). J Food Process Eng 35(5):742–750
Sipos L, Kovács Z, Szöllősi D, Kókai Z, Dalmadi I, Fekete A (2011) Comparison of novel sensory panel performance evaluation techniques with e-nose analysis integration. J Chemom 25(5):275–286
Sowlat MH, Gharibi H, Yunesian M, Mahmoudi MT, Lotfi S (2011) A novel, fuzzy-based air quality index (FAQI) for air quality assessment. Atmos Environ 45(12):2050–2059
Tripathi P, Dubey NK (2004) Exploitation of natural products as an alternative strategy to control postharvest fungal rotting of fruit and vegetables. Postharvest Biol Tec 32:235–245
USDA (2012) Production, current world production, markets, and trade reports. United States Department of Agriculture. http://usda01.library.cornell.edu/usda/current/decidwm/decidwm-12-07-2012.pdf. Accessed 18 March 2013
Webb AD (1981) Quality factors in California grapes. In: Teranishi R, Barrera-Benitez H (eds) Quality of selected fruits and vegetables of North America. American Chemical Society, Washington DC, pp. 1–9
Wilson S, Moffat M (2010) Using a Delphi survey to identify priorities. Br J Health Manag 16(6):284–289
Acknowledgments
This research is sponsored by National Natural Science Foundation of China (Grant No. 31371538) and China Agricultural Research System (CARS-30, national grape industrial system). Thank all the panelists for participating in the sensory evaluation experiment and the anonymous reviewers who made constructive comments.
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Highlights
• A Sensory Evaluation of the table grape stored at home is carried out rigiously. • The weight of each quality attribute is determined through the Delphi method for the relationship of them with the quality. • A single aggregative comprehensive quality index of table grape is attended by using the Fuzzy Synthetic Evaluation with the weight of quality indices. • The changes of each index’s contribution to the quality through the storage time is analyzed. • The quality of the sample of table grape is predicted through the Curve Estimation.
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Ma, C., Fu, Z., Xu, M. et al. Evaluation on home storage performance of table grape based on sensory quality and consumers’ satisfaction. J Food Sci Technol 53, 1363–1370 (2016). https://doi.org/10.1007/s13197-016-2177-0
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DOI: https://doi.org/10.1007/s13197-016-2177-0