Impact of prolonged storage on quality assessment properties and constituents of honey: A systematic review

被引:11
作者
Manickavasagam, Ganapaty [1 ,2 ]
Saaid, Mardiana [2 ]
Lim, Vuanghao [1 ]
机构
[1] Univ Sains Malaysia, Adv Med & Dent Inst, Kepala Batas 13200, Pulau Pinang, Malaysia
[2] Univ Sains Malaysia, Sch Chem Sci, Gelugor, Malaysia
关键词
freshness indicators; honey; honey constituents; quality parameters; storage periods; storage temperatures; STINGLESS BEE HONEY; ANTIOXIDANT ACTIVITY; HYMENOPTERA APIDAE; INVERTASE ACTIVITY; BOTANICAL ORIGIN; PARAMETERS; PROLINE; ACACIA; CRYSTALLIZATION; PRODUCTS;
D O I
10.1111/1750-3841.16921
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
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.
引用
收藏
页码:811 / 833
页数:23
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