NomenclatureM = fruit mass, g; V = fruit Volume, cm3; Dg = geometric mean diameter, mm; S = surface area, mm2; L = length of fruits, mm; W = width of fruit, mm; T = thickness of fruit, mm; PA1 = first projected area which perpendicular to L direction, mm2; PA2 = second projected area which perpendicular to W direction, mm2; PA3 = third projected area which perpendicular to T direction, mm2; CPA = criteria projected area, mm2; SD = standard deviation; b0, b1, b2 = curve fitting parameters; X = independent parameter.
1757-837X/asset/QAS_left.gif?v=1&s=cf5222443b8ed0d46a58fabbcca2712364f43692)
1757-837X/asset/QAS_right.gif?v=1&s=5e4164f098544572532527e7f4dc65a7d3545b85)
ORIGINAL ARTICLE
Mass modeling of caper (Capparis spinosa) with some engineering properties
Article first published online: 21 DEC 2012
DOI: 10.1111/qas.12004
© 2012 Blackwell Publishing Ltd
Additional Information
How to Cite
, , (2012) Mass modeling of caper (Capparis spinosa) with some engineering properties. Quality Assurance and Safety of Crops & Foods, 4, e38–e42, 4:5, 38–42.
Publication History
- Issue published online: 21 DEC 2012
- Article first published online: 21 DEC 2012
- Manuscript Accepted: 16 MAR 2012
- Manuscript Revised: 2 MAR 2012
- Manuscript Received: 1 JAN 2012
- Abstract
- Article
- References
- Cited By
Keywords:
- caper;
- mass;
- modeling;
- physical characteristics
Abstract
Introduction
Horticultural crops used as food with a similar weight and uniform shape are in high demand in terms of marketing value.
Objectives
Therefore, an awareness of methods for grading fruits and vegetables based on weight is crucial. A part of this research was aimed at presenting some physical properties of caper.
Methods
In addition, in this study, the mass of caper was predicted using different physical characteristics in four models that include linear, quadratic, S-curve and power.
Results
According to the results, all properties considered in the current study were found to be statistically significant at the 1% probability level for the best and the worst models for prediction; the mass of caper was based on volume and second projected area of the caper with determination coefficients of 0.984 and 0.323, respectively.
Conclusion
Mass model based on first projected area from an economical standpoint is recommended.