Four varieties of marketable sized (weight ranging from 200-250 g) grapefruit namely Ruby Red, Red Blush, Flame and Marsh Seedless were procured from the Department of Fruit Science, Punjab Agricultural University, Ludhiana, Punjab and were brought to Food Analysis Laboratory of Department of Food and Nutrition. Other ingredients used for the preparation of different products, such as sugar, salt, powdered black pepper, citric acid crystals, benzoic acid, lemon, calcium hydroxide and sodium benzoate were purchased from the local market of Ludhiana and were stored at room temperature (27°C). The fruits were then peeled, sectioned into small pieces and dried in hot air oven at ±55°C. The dried fruit was then ground into fine powder with the help of pestle and mortar and stored in the air-tight containers at ambient temperature (27°C) for nutritional analysis such as proximate composition, total sugars, reducing and non-reducing sugars, minerals (potassium and calcium), vitamin C, total flavonoids and antioxidant potential by DPPH radical scavenging method. All the proximate parameters were analysed using methods described in Association of Official Analytical Chemist (
AOAC, 2000). Moisture content was carried out in a hot air oven at a temperature 105°C for 8 hours. The crude protein was estimated by kjeldhal method using Kjelplus (SUPRA- LX VA) in which nitrogen content was estimated and was then multiplied with the factor 6.25 for protein estimation. The crude fat was evaluated by Soxhlet extraction method using SOCS PLUS (SCS 6). The ash content was evaluated by igniting the sample in a muffle furnace at a temp. 550°C for 4 hours. Carbohydrate was calculated by difference method:
Crude fiber was also estimated by the method described in Association of Official Analytical Chemists (
AOAC, 2000) by using FIBRA PLUS (FES 6). The calorific value of grapefruit varieties was estimated by multiplying the percentages of carbohydrate, protein and fat with their physiological fuel value
i.e. 4, 4 and 9, respectively. Total sugars and reducing sugars were estimated by the method described in
AOAC, 2000. Whereas, non-reducing sugar was calculated by subtracting reducing sugars from total sugars. Minerals namely potassium and calcium were determined by method given in
AOAC (2003). Vitamin C content was evaluated by using 2, 6-dichlorophenol indophenol dye which gives blue colour on reduction by ascorbic acid and it was read in spectrophotometer (ELICO SL 177) at 500 nm (
AOVC, 1996). For the analysis of flavonoids and antioxidant potential, the methanolic extract was prepared. For the analysis of flavonoids, absorbency was read at 415 nm against the blank
(Zhishen et al., 1999). For the analysis of antioxidant potential the sample was evaluated by DPPH (2, 2-diphenyl-1-picrylhydrazyl) method. The discoloration of DPPH was read at 517 nm against blank
(Tadhani et al., 2007). All the samples were analysed in triplicate.
*absorption.
For the formulation of the products various sensory trials were conducted in the Food Laboratory of PAU, Ludhiana to standardize the recipe of all products. Standardized amounts of ingredients and methods of preparation of grapefruit products (Chiller, squash, peel candy and spread) have been mentioned in Table 1. Each product was prepared from four different grapefruit varieties and for sensory evaluation it was served to semi-trained panel (n=30) of Departments of Food and Nutrition, Food Science and Technology and Fruit Science of PAU in a well-lit laboratory of the Department of Food and Nutrition during day time and to the untrained panel (n=50) of local consumers to check the consumer acceptability. The panel was provided with the single product (30 ml each) at a time along with water in order to prevent the interference of different flavours. They were asked to report their sensory preferences in a given datasheet. The acceptance sensory test using a nine-point Hedonic rating scale was performed for several sensory attributes such as texture, appearance, flavour, taste and overall acceptability
(Nicolas et al., 2010). Based on the results of this evaluation, the most acceptable variety from each product was selected and it was further evaluated for their proximate composition. The detailed experimental design of this study is given in Fig 1.
Statistical analysis
Mean and standard deviation for the different parameters were computed. Analysis of Variance (ANOVA) was employed following CRD and Statistical Analysis Tool Pack and SPSS 16 (statistical package for the social sciences). Least significant difference at 5% was calculated using SAS (Statistical Analysis System, version 9.3 for windows) software for the comparison among the parameters. Percentage preferences of local consumers were estimated while selecting the most acceptable variety from each product.