Comprehensive evaluation of multi-quality characteristic indexes of Chaenomeles speciosa and C. sinensis fruits.
- Author:
Shiyao LIU
1
;
Zhichuan BAI
;
Jiana LI
Author Information
- Publication Type:Journal Article
- MeSH: Ascorbic Acid; China; Chromatography, High Pressure Liquid; Colorimetry; Fruit; chemistry; Rosaceae; chemistry; Superoxide Dismutase; metabolism
- From: China Journal of Chinese Materia Medica 2012;37(7):901-907
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo evaluate the 8 main quality characteristic indexes of fruit-using Chaenomeles speciosa and C. sinensis fruits produced in Chongqing and explore the comprehensive assessment for the fresh eating-quality of the samples based on the theory of fuzzy comprehensive.
METHODThe total sugar content, titratable acid content, ascorbic acid content and superoxide dismutase (SOD) activity of fresh samples were determined, and the oleanolic acid, ursolic acid, total flavones and total saponins content of dried sample were determined by HPLC and colorimetry method. The fuzzy probability method was used to comprehensively evaluate their fresh eating-quality of the fruit-using C. speciosa and C. sinensis fruits produced in Chongqing.
RESULTThe mean SOD activity of C. speciosa and C. sinensis fresh fruits separately was 15.99 U x mg(-1) and 27.40 U x mg(-1), respectively. And the fresh fruit titratable acid content, total sugar content, ascorbic acid content separately was 0.357 g x L(-1), 0.854 mg x L(-1), 1.118 mg x L(-1) and 0.252 g x L(-1), 0.845 mg x L(-1), 1.260 mg x L(-1), respectively. The oleanolic acid, ursolic acid, total flavones and total saponins content was 0.320%, 0.461%, 43.90 mg x g(-1), 23.11 mg x g(-1) and 0.255%, 0.176%, 41.24 mg x g(-1), 15.01 mg x g(-1), respectively. The Chaenomeles speciosa and C. sinensis sample quality mean comprehensive evaluation value was 0.599 and 0.367 based on the fuzzy probability method.
CONCLUSIONThe edible quality of fruit-using C. speciosa fruits are better than C. sinensis fruits produced in Chongqing. And the fuzzy probability method could be used to quality comprehensive evaluation of samples containing many trait paramaters.