这篇系统综述论文旨在讨论蜂蜜在不同储存条件下质量评估特性和成分的趋势,并给出与显著变化相关的可能原因和原因。最初,通过谷歌学者进行了文献检索,ScienceDirect,PubMed,和Scopus数据库。总的来说,选择了2001年至2023年之间发表的符合纳入和排除标准的43份手稿进行审查。作为这次审查的结果,长时间的蜂蜜储存可能会恶化感官,营养,和抗氧化特性,促进发酵,造粒,微生物生长,致癌性,有机毒性,和肾毒性。本系统综述还认识到淀粉酶活性,转化酶活性,5-羟甲基糠醛含量,脯氨酸含量,含糖量,氨基酸,和维生素可以作为指标来区分新鲜和储存的蜂蜜基于显著测试(p值)在报告的研究。然而,所有报道的研究都使用了最简单的方法(单向方差分析)来确定储存期间分析参数的显著差异,但没有报道一种方法来确定不同储存条件下最具影响力的参数.总之,正交偏最小二乘判别分析(监督多元统计工具)必须在未来的研究中使用,以找到最有影响力的参数,并可用于有效的化学标记,以区分新鲜和储存的蜂蜜,因为这种分析与S-plot相结合,投影的可变重要性,和单向方差分析,这可以产生最准确和精确的结果,而仅仅取决于单向方差分析。
This systematic review paper aims to discuss the trend in quality assessment properties and constituents of honey at different storage conditions and confer the possible whys and wherefores associated with the significant changes. Initially, a literature search was conducted through Google Scholar, ScienceDirect, PubMed, and Scopus databases. In total, 43 manuscripts published between 2001 and 2023 that met the inclusion and exclusion criteria were chosen for the review. As an outcome of this review, prolonged honey storage could deteriorate sensory, nutritional, and antioxidant properties and promote fermentation, granulation, microbial growth, carcinogenicity, organotoxicity, and nephrotoxicity. This systematic review also recognized that diastase activity, invertase activity, 5-hydroxymethylfurfural content, proline content, sugar content, amino acids, and vitamins could be used as indicators to distinguish fresh and stored honey based on the significant test (p-value) in the reported studies. However, all the reported studies used the simplest approach (one-way ANOVA) to identify the significant differences in the analyzed parameter during the storage period and none of them reported an approach to identify the most influential parameter at different storage conditions. In conclusion, orthogonal partial least squares discriminant analysis (supervised multivariate statistical tool) has to be employed in future studies to find the most influential parameter and could be used to potent chemical markers to distinguish fresh and stored honey because this analysis is incorporated with S-plot, variable importance of projection, and one-way ANOVA, which can produce the most accurate and precise results rather solely depending on one-way ANOVA.