Evidence Hub

Comparing the preservation effects of various treatments on mangoes: systematic review and network-meta-analysis

Meng-Qiu Huang, Shi-Yi Chen, Yi-Fan Zou, Li Yang, K. Kamonsuangkasem, Jie Hong

The Journal of the Science of Food and Agriculture, 2026

Abstract

BACKGROUND

Consumers' awareness of the nutritional value and quality of fruits is constantly improving, yet postharvest decay and nutrient loss problems seriously affect the taste and commercial value of the fruits. In order to explore effective preservation methods, a network-meta-analysis was conducted based on the Bayesian random-effects model in this study to systematically evaluate 24 fresh-keeping treatments. The study focused on ten quality indicators and four physiological metabolic indicators after storage for 7 ± 1 day. The treatment effects were quantified using standardized mean differences (SMD), and the effects were ranked using the surface under the cumulative ranking curve area (SUCRA).

RESULTS

Different preservation methods had specific advantages for multiple physiological/quality indicators of mangoes, and biogenic materials and nano-composite materials demonstrated good application prospects in mango preservation. Among them, sodium alginate (SA) and carboxymethyl cellulose (CMC), ε-polylysine hydrochloride (ε-PLLH) complex are the most effective in inhibiting the degradation of titratable acid (TA), but these treatment methods cannot inhibit the activity of the peroxidase (POD). The zinc-carbon quantum dots-polyvinyl alcohol (Zn-CQDs-PVA) film had the best effect on the accumulation of total soluble solids (TSS), and 400 μg mL-1 carvacrol treatment ranked first in maintaining fruit firmness. 1-Methylcyclopropene (1-MCP) treatment could significantly…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free