Literature DB >> 26604395

Quality evaluation of yellow peach chips prepared by explosion puffing drying.

Jian Lyu1, Lin-Yan Zhou1, Jin-Feng Bi1, Xuan Liu1, Xin-Ye Wu1.   

Abstract

Nineteen evaluation indicators in 15 yellow peach chips prepared by explosion puffing drying were analyzed, including color, rehydration ratio, texture, and so on. The analysis methods of principle component analysis (PCA), analytic hierarchy process (AHP), K-means cluster (KC) and Discriminate analysis (DA) were used to analyze the comprehensive quality of the yellow peach chips. The dispersed coefficient of variation of the 19 evaluation indicators varied from 3.58 to 852.89 %, suggesting significant differences among yellow peach cultivars. The characteristic evaluation indicators, namely, reducing sugar content, out-put ratio, water content, a value and L value were analyzed by PCA, and their weights 0.0429, 0.1140, 0.4816, 1.1807 and 0.1807 were obtained by AHP. The levels in 15 cultivars effectively were classified by discrimination functions which obtained by KC and DA. The results suggested that three levels of comprehensive quality for yellow peach chips were divided, and the highest synthesis scores was observed in "senggelin" (11.1037), while the lowest synthesis value was found in "goldbaby" (-3.7600).

Entities:  

Keywords:  Analytic hierarchy process; Discrimination analysis; Principle component analysis; Quality evaluation; Yellow peach chips

Year:  2015        PMID: 26604395      PMCID: PMC4648930          DOI: 10.1007/s13197-015-1906-0

Source DB:  PubMed          Journal:  J Food Sci Technol        ISSN: 0022-1155            Impact factor:   2.701


  7 in total

1.  A note on the use of the analytic hierarchy process for environmental impact assessment.

Authors:  R Ramanathan
Journal:  J Environ Manage       Date:  2001-09       Impact factor: 6.789

Review 2.  The use of principal component analysis and discriminant analysis in differential sensing routines.

Authors:  Sara Stewart; Michelle Adams Ivy; Eric V Anslyn
Journal:  Chem Soc Rev       Date:  2013-09-02       Impact factor: 54.564

3.  Fingerprinting of anthocyanins from grapes produced in Brazil using HPLC-DAD-MS and exploratory analysis by principal component analysis.

Authors:  Karina Fraige; Edenir R Pereira-Filho; Emanuel Carrilho
Journal:  Food Chem       Date:  2013-08-26       Impact factor: 7.514

4.  Ultra-high-performance liquid chromatography/tandem high-resolution mass spectrometry analysis of sixteen red beverages containing carminic acid: identification of degradation products by using principal component analysis/discriminant analysis.

Authors:  Fabio Gosetti; Ugo Chiuminatto; Eleonora Mazzucco; Rita Mastroianni; Emilio Marengo
Journal:  Food Chem       Date:  2014-07-11       Impact factor: 7.514

5.  Comparison of flavonoids, phenolic acids, and antioxidant activity of explosion-puffed and sun-dried jujubes (Ziziphus jujuba Mill.).

Authors:  Li-Juan Du; Qing-Han Gao; Xiao-Long Ji; Yu-Jie Ma; Fang-Yi Xu; Min Wang
Journal:  J Agric Food Chem       Date:  2013-11-21       Impact factor: 5.279

6.  Fast and robust discrimination of almonds (Prunus amygdalus) with respect to their bitterness by using near infrared and partial least squares-discriminant analysis.

Authors:  Eva Borràs; José Manuel Amigo; Frans van den Berg; Ricard Boqué; Olga Busto
Journal:  Food Chem       Date:  2013-12-12       Impact factor: 7.514

7.  Physico-chemical and antioxidant properties of four mango (Mangifera indica L.) cultivars in China.

Authors:  Feng-Xia Liu; Shu-Fang Fu; Xiu-Fang Bi; Fang Chen; Xiao-Jun Liao; Xiao-Song Hu; Ji-Hong Wu
Journal:  Food Chem       Date:  2012-11-08       Impact factor: 7.514

  7 in total
  2 in total

1.  Influence of pre-drying treatments on physicochemical and organoleptic properties of explosion puff dried jackfruit chips.

Authors:  Jianyong Yi; Linyan Zhou; Jinfeng Bi; Qinqin Chen; Xuan Liu; Xinye Wu
Journal:  J Food Sci Technol       Date:  2015-12-02       Impact factor: 2.701

2.  A new methodology for sensory quality assessment of garlic based on metabolomics and an artificial neural network.

Authors:  Jian Liu; Lixia Liu; Wei Guo; Minglang Fu; Minli Yang; Shengxiong Huang; Feng Zhang; Yongsheng Liu
Journal:  RSC Adv       Date:  2019-06-06       Impact factor: 3.361

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.