Literature DB >> 24587532

Sensory characterization of doda burfi (Indian milk cake) using Principal Component Analysis.

Rekha Chawla1, Girdhari Ramdas Patil2, Ashish Kumar Singh2.   

Abstract

Traditional sweetmeats of various countries hold a great and promising scope in their improvement and in order to tap the potential of the same, several companies and co-operative federations have started their organized production. Doda burfi, a heat desiccated and popular sweetmeat of northern India, is one of the regional specific, unfamiliarized products of India. The typical sweetmeat is characterized by caramelized and nutty flavour and granular texture. The purpose of this study was to determine the close relationship among various sensory attributes of the product collected from renowned manufacturers located in four different cities and to characterize an overall acceptable product. Individuals from academia participated in a round table discussion to generate descriptive terms related to colour and appearance, flavour and texture. Prior to sensory evaluation, sensory panel was trained and briefed about the terminology used to judge the product involving a descriptive intensity scale of 100 points for describing major sensory attributes. Results were analyzed using ANOVA and principal component analysis. Correlation table indicated a good degree of positive association between the attributes such as glossy appearance, dark colour, caramelized and nutty flavour and cohesive and chewy texture with the overall acceptability of the product.

Entities:  

Keywords:  Caramelization; Dietary fiber; Doda burfi; Principal Component Analysis; Sensory characterization

Year:  2011        PMID: 24587532      PMCID: PMC3931866          DOI: 10.1007/s13197-011-0524-8

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


  3 in total

1.  Multivariate techniques in the analysis of meat quality.

Authors:  T N˦s; P Baardseth; H Helgesen; T Isaksson
Journal:  Meat Sci       Date:  1996       Impact factor: 5.209

2.  Application of principal component analysis (PCA) as a sensory assessment tool for fermented food products.

Authors:  Debasree Ghosh; Parimal Chattopadhyay
Journal:  J Food Sci Technol       Date:  2011-02-18       Impact factor: 2.701

3.  Consumer liking of fruit juices with different açaí (Euterpe oleracea Mart.) concentrations.

Authors:  Sara Sabbe; Wim Verbeke; Rosires Deliza; Virginia M Matta; Patrick Van Damme
Journal:  J Food Sci       Date:  2009-06       Impact factor: 3.167

  3 in total
  2 in total

1.  Quantitative descriptive analysis and principal component analysis for sensory characterization of Indian milk product cham-cham.

Authors:  Ritika Puri; Kaushik Khamrui; Yogesh Khetra; Ravinder Malhotra; H C Devraja
Journal:  J Food Sci Technol       Date:  2015-11-11       Impact factor: 2.701

Review 2.  Application of Sensory Descriptive Analysis and Consumer Studies to Investigate Traditional and Authentic Foods: A Review.

Authors:  Jiyun Yang; Jeehyun Lee
Journal:  Foods       Date:  2019-02-02
  2 in total

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