Rapid evaluation of the texture properties of melon (Cucumis melo L. Var. reticulata cv. Green net) using near infrared spectroscopy.

The near infrared (NIR) spectroscopy as the rapid nondestructive method was aimed to be applied for determination of the texture properties of melon intact fruit and pulp including initial firmness, rupture force, average firmness, rupture distance, toughness, average penetrating force and penetrating energy. The data from the reference method of texture analyzer were correlated with the NIR spectral data. The result showed that, only the two properties including rupture force and penetrating force in pulp could be predicted by NIR spectroscopy technique. The determination coefficient of validation (r2 ) for prediction of rupture force and penetrating force in the pulp of melon using intact fruit spectra were 0.850 and 0.845, respectively. The r2 , for prediction of rupture force and penetrating force in the pulp of melon using pulp spectra were 0.813 and 0.778, respectively. This indicated that the NIR spectroscopy protocol developed here was useful for research works such as breeding and postharvest research, the melon processing factory and also the import and export of melon. PRACTICAL APPLICATIONS The near infrared spectroscopy protocol developed for determination of rupture force and penetrating force in pulp using intact fruit spectra as a nondestructive method will be useful for research works such as breeding and postharvest research, the melon processing factory and also the import and export of melon. There are also the protocol developed using pulp spectra can be used for texture determination of fresh-cut melon.

[1]  Takayuki Kojima,et al.  RELATIONSHIP BETWEEN THE TEXTURE AND PECTIN CONSTITUENTS OF JAPANESE PEAR , 2000 .

[2]  V. Mcglone,et al.  Kiwifruit Firmness by near Infrared Light Scattering , 1997 .

[3]  Takayuki Kojima,et al.  Nondestructive estimation of maturity and textural properties on tomato ‘Momotaro’ by near infrared spectroscopy , 2012 .

[4]  J. Abbott Textural quality assessment for fresh fruits and vegetables. , 2004, Advances in experimental medicine and biology.

[5]  Takayuki Kojima,et al.  Evaluation of pectin constituents of Japanese pear by near infrared spectroscopy , 2007 .

[6]  I. Hernando,et al.  Improving the quality of fresh-cut apples, pears, and melons using natural additives. , 2009, Journal of food science.

[7]  J. Posom,et al.  Evaluation of lower heating value and elemental composition of bamboo using near infrared spectroscopy , 2017 .

[8]  Dolores Pérez-Marín,et al.  Quantitative assessment of intact green asparagus quality by near infrared spectroscopy , 2009 .

[9]  R. Wrolstad,et al.  Cultivar and Maturity Effects on Muskmelon ( Cucumis melo) Colour, Texture and Cell Wall Polysaccharide Composition , 1996 .

[10]  P. Rocculi,et al.  Optimization of Vacuum Impregnation with Calcium Lactate of Minimally Processed Melon and Shelf-Life Study in Real Storage Conditions. , 2016, Journal of food science.

[11]  M. Falah,et al.  Effects of Storage Conditions on Quality and Shelf-life of Fresh-cut Melon (Cucumis Melo L.) and Papaya (Carica Papaya L.) , 2015 .

[12]  A. Peirs,et al.  Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review , 2007 .

[13]  Meijun Sun,et al.  How to predict the sugariness and hardness of melons: A near-infrared hyperspectral imaging method. , 2017, Food chemistry.

[14]  D. Ukuku,et al.  Effect of Processing Under Ultraviolet Light on the Shelf Life of Fresh‐Cut Cantaloupe Melon , 2006 .

[15]  Diane M. Barrett,et al.  Color, Flavor, Texture, and Nutritional Quality of Fresh-Cut Fruits and Vegetables: Desirable Levels, Instrumental and Sensory Measurement, and the Effects of Processing , 2010, Critical reviews in food science and nutrition.

[16]  John C. Beaulieu,et al.  Effect of Harvest Maturity on the Sensory Characteristics of Fresh-cut Cantaloupe , 2006 .

[17]  J. Abbott Quality measurement of fruits and vegetables , 1999 .

[18]  D. D. Hamann,et al.  Relationships between sensory profile parameters and fundamental mechanical parameters for raw potatoes, melons and apples. , 1980 .

[19]  Randolph M. Beaudry,et al.  Determination of firmness and sugar content of apples using near-infrared diffuse reflectance , 2000 .