Statistical Approach in Juice Technology

Anton Sotirov

statistics, cluster analysis, juices, technology, fruits, vegetables

The aim of the study is to apply a statistical approach to analyse the data obtained from the study of the technological parameters of fruit and vegetable juices for a three-year period from 2020 to 2023 in the fruit and vegetable processing plants - Kyustendil region, Bulgaria. The results obtained by the statistical approach and especially by the Cluster Analisis are more than satisfactory: Similarities: Cluster C1: Association 1: all vegetables are united in one cluster, meaning very different technical parameters than the fruits. Interesting here is that some fruits as watermelon, melon, grapefruit and blackberry are included into the vegetable group, on the basis of dissimilarities of their technological parameters of the juices; Cluster C2: Association 2: all fruits are grouped in one association totally different by technological parameters than the vegetable association 1. Dissimilarities: Cluster C1: Association 1: of all fruits from lemon - to sweet red cherry are grouped in this association; Association 2: pumpkin-celery-leaves-potato-onion-corn-water melon-melon, red tomato; Cluster C2 united the green vegetables: Association 1: green bean-zucchini-green pepper-green tomato-cabbage-eggplant-green pepper-green tomato-cabbage-eggplant; Association 2: spinach-red beetroot-carrot-celery root-celery; Celery stem is the united of the associations and it is common for Ass. 1 and Ass. 2.

Published Paper   E-Certificate

"Statistical Approach in Juice Technology ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 2, page no.761 - 770, February-2024, Available :https://ijsdr.org/papers/IJSDR2402114.pdf

Volume 9 Issue 2, February-2024

Pages : 761 - 770

Paper Reg. ID: IJSDR_210218

Published Paper Id: IJSDR2402114

Downloads: 000347273

Research Area: Science & Technology

Country: Kyustendil, Kyustendil, Bulgaria

Published Paper PDF: https://ijsdr.org/papers/IJSDR2402114

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2402114

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition