Maçi Renis, Shehu Fatmira, Spaho Enton, Bijo Bizena
Department of Food Microbiology, Food Safety and Veterinary Institute, Tirana.
Department of Veterinary Public Health, Faculty of Veterinary Medicine, Agricultural University of Tirana.
Ital J Food Saf. 2024 Jan 22;13(1):12105. doi: 10.4081/ijfs.2024.12105. eCollection 2024 Feb 22.
The purpose of this research was to estimate the correlation between hydrochemicals and contamination in by using multi-linear regression and statistically processing the monthly mean results. This study was conducted in a traditional cultivation of , sampled and analyzed (n=136) for microbial analysis with ISO 16649-3. From 2015 to 2017, seawater was measured with a multiparameter apparatus, where four variables [dissolved oxygen (n=115), temperature (n=127) and pH (n=115), salinity (n=127), and local area rainfall monitoring (n=23)] were taken into consideration. The results were compared and shown to have a significant correlation, allowing for the quantification of the impact resulting from adjustments made to the monthly mean computation. During the study period, statistical performance for each year was estimated =94.4% (2015), =46.8%, and =97.5% (2017).
本研究的目的是通过多元线性回归并对月均值结果进行统计处理，来估计水化学物质与[具体研究对象]中污染物之间的相关性。本研究在[具体研究对象]的传统养殖环境中进行，按照ISO 16649-3标准对样本进行采集和分析（n = 136）以进行微生物分析。在2015年至2017年期间，使用多参数仪器测量海水，考虑了四个变量[溶解氧（n = 115）、温度（n = 127）、pH值（n = 115）、盐度（n = 127）以及当地降雨量监测（n = 23）]。对结果进行比较后发现具有显著相关性，从而能够量化对月均值计算进行调整所产生的影响。在研究期间，估计每年的统计性能分别为：2015年为94.4%，[此处信息缺失]为46.8%，2017年为97.5%。
