Literature DB >> 27413232

Variation in biochemical parameters in different parts of potato tubers for processing purposes.

Vineet Sharma1, S K Kaushik1, Brajesh Singh2, Pinky Raigond2.   

Abstract

The present study was conducted to estimate the variation in bio-chemical parameters among eight different parts viz. bud end cortex, bud end medulla, central cortex, central medulla, pith, stem end cortex, stem end medulla and peel of potato tuber of processing varieties. Concentration of dry matter, reducing sugar, sucrose and starch content were higher in cortical region than in medullar region of stem end, bud end and central portion. Variety Kufri Chipsona-1 had maximum dry matter content in stem end cortex (SEC 30.34 %), followed by Kufri Frysona (SEC 27.71 %). Mean reducing sugar values were comparatively more in bud end cortex (BEC 111.3 mg/100 g Fresh Weight) and lowest in stem end medulla (SEM 44.05 mg/100 g FW). Bio-chemical contents varied considerably within different parts of tuber as well as in different genotypes. The information generated in this study can help processors for effective utilization of potato for various types of processing products viz., chips and French fries.

Entities:  

Keywords:  Bud end; Central medulla; Pith; Potato; Quality distribution; Stem end

Year:  2016        PMID: 27413232      PMCID: PMC4926915          DOI: 10.1007/s13197-016-2173-4

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


  2 in total

1.  EXPERIMENTS ON SUCROSE FORMATION BY POTATO TUBERS AS INFLUENCED BY TEMPERATURE.

Authors:  B Arreguin-Lozano; J Bonner
Journal:  Plant Physiol       Date:  1949-10       Impact factor: 8.340

2.  Direct microdetermination of sucrose.

Authors:  E Van Handel
Journal:  Anal Biochem       Date:  1968-02       Impact factor: 3.365

  2 in total
  2 in total

1.  Comparison of the Effects of Potassium Sulphate and Potassium Chloride Fertilisation on Quality Parameters, Including Volatile Compounds, of Potato Tubers After Harvest and Storage.

Authors:  Lisanne Wilmer; Elke Pawelzik; Marcel Naumann
Journal:  Front Plant Sci       Date:  2022-07-11       Impact factor: 6.627

2.  A large-scale optical microscopy image dataset of potato tuber for deep learning based plant cell assessment.

Authors:  Sumona Biswas; Shovan Barma
Journal:  Sci Data       Date:  2020-10-27       Impact factor: 6.444

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.