当前位置: X-MOL 学术Int. J. Fruit Sci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Physicochemical Characterization and Mass Modeling of Blood Fruit (Haematocarpus Validus) – An Underutilized Fruit of Northeastern India
International Journal of Fruit Science ( IF 2.4 ) Pub Date : 2020-12-28 , DOI: 10.1080/15538362.2020.1848752
Raju Sasikumar 1 , Kambhampati Vivek 2 , Saravanan Chakkaravarthi 3 , Sankar Chandra Deka 4
Affiliation  

ABSTRACT

Blood fruit is an underutilized and highly nutritious fruit available in the Northeastern part of India. Proper design and development of sorting and grading systems help in improving the utilization of the fruit. Mass-based grading is more economical than the size-based grading of fruits. The main aim of this study is to investigate the physical, biochemical, thermal, and textural properties of blood fruit and also to determine the best models for predicting the mass of blood fruit using its physical properties. Various physical properties include dimensions, diameters, area, and volume were measured. The fruit is also a good source of phytochemicals like total phenolic compounds (678.21 ± 10.71), flavonoids (489.80 ± 6.72), and anthocyanins (581.21 ± 5.31), respectively. Four different empirical models such as linear, quadratic, power, and s-curve were used to correlate the mass of blood fruit with its physical properties. Fruit width and projected area perpendicular to width in the quadratic model and ellipsoidal volume in the linear model were found best based on the highest R2 for predicting the mass of blood fruit. The present study would significantly increase the knowledge base and useful to design and fabricate postharvest equipment like graders and sorters, which in turn increases the value and commercialization of the fruit.



中文翻译:

血果(Haematocarpus Validus)的理化表征和质量建模–印度东北部未充分利用的水果

摘要

血果是印度东北部一种利用率不高且营养丰富的水果。正确的分选和分级系统设计和开发有助于提高水果的利用率。基于质量的分级比基于大小的水果分级更为经济。这项研究的主要目的是研究血果的物理,生化,热和质地特性,并确定利用其物理特​​性预测血果质量的最佳模型。测量了各种物理性质,包括尺寸,直径,面积和体积。水果也是植物化学物质的良好来源,分别是总酚类化合物(678.21±10.71),类黄酮(489.80±6.72)和花色苷(581.21±5.31)。四种不同的经验模型,例如线性,二次方,幂,和s曲线用于将血果的质量与其物理特性相关联。在预测血果质量的最高R2的基础上,二次模型中的果实宽度和垂直于宽度的投影面积以及线性模型中的椭圆形体积最佳。本研究将大大增加知识基础,对设计和制造分级机和分选机等收获后设备很有用,这反过来又增加了水果的价值和商品化。

更新日期:2020-12-28
down
wechat
bug