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首页> 外文期刊>Acta Horticulturae >Selection of edible chitosan and gum arabic coating used to preserve fresh cut 'Nam Dok Mai #4' mango (Mangifera indica L)
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Selection of edible chitosan and gum arabic coating used to preserve fresh cut 'Nam Dok Mai #4' mango (Mangifera indica L)

机译:可食用壳聚糖和胶阿拉伯文涂层用于保留新鲜切割'nam dok mai#4'mango(mangifera indica l)

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Fresh cut mango is very perishable and has a short shelf life storage, which both markets and consumers would like to be longer. The response surface methodology (RSM) was applied to determine the effect of chitosan (0.25-0.5% w/v) and gum arabic (1.0-5.0% w/v) on fresh cut mango [Mangifera indica L.) 'Nam Dok Mai #4' for selecting the suitability of edible coating. The 80% of maturity stage mangoes were dipped by 240 mg L 1 ethephon and kept at room temperature for 3 days. Ripened mango fruits werewashed with 100 mg Ir1 peroxyacetic acid, dipped in mild heat water at 50°C for 5 min, manually peeled, and cut into 3x3x2 cm cubes. These fresh cut mangoes were coated with different solutions, placed into plastic boxes with cover, then over-wrapped with nylon/LDPE bags and stored at 5°C for 5 days. Weight loss, firmness, respiration rate and total color difference were measured as response variables. The results showed that the response variable were highly fitted to the regression coefficients (R2)from 0.7508 to 0.8167 for all variables. The optimum concentration of chitosan and gum arabic were predicted to be 0.50 and 4.51%, respectively. Under this optimum condition, there was no significant difference between the predicted and the experimentalvalues (P>0.01). Thus, RSM was an effective tool for identifying optimized coating formulations.
机译:新鲜的切割芒果非常易于易腐,拥有短的保质期存储,市场和消费者都希望更长。应用响应面方法(RSM)以确定壳聚糖(0.25-0.5%w / v)和胶阿拉伯语(1.0-5.0%w / v)对新鲜切割芒果[mangifera indica l.)'nam dok mai的影响#4'选择可食用涂层的适用性。将80%的成熟阶段芒果浸入240mg1乙烯酮,并在室温下保持3天。成熟的芒果水果用100mg IR1过氧乙酸含有100mg IR1过氧乙酸,在50℃下浸入温和的热水中5分钟,手动去皮,切成3x3x2厘米立方体。这些新鲜切割芒果涂有不同的溶液,置于带盖子的塑料盒中,然后用尼龙/ LDPE袋过量包裹并在5℃下储存5天。测量重量损失,固定性,呼吸率和总色差作为响应变量。结果表明,对于所有变量,响应变量高于0.7508至0.8167的回归系数(R2)。预计壳聚糖和阿拉伯树胶的最佳浓度分别为0.50%和4.51%。在这种最佳条件下,预测和实验值之间没有显着差异(P> 0.01)。因此,RSM是一种用于识别优化涂层配方的有效工具。

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