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罗汉果种仁泡沫垫干燥条件对干燥速率和生物活性化合物的影响：采用新型统计方法进行优化

Impact of foam-mat drying conditions of "Gấc" aril on drying rate and bioactive compounds: Optimization by novel statistical approaches.

作者信息

Thuy Nguyen Minh, Tien Vo Quoc, Giau Tran Ngoc, Hao Hong Van, Minh Vo Quang, Tai Ngo Van

机构信息

Institute of Food and Biotechnology, Can Tho University, Can Tho 900000, Viet Nam.

College of Environment and Natural Resources, Can Tho University, Can Tho 900000, Viet Nam.

出版信息

Food Chem X. 2024 Sep 20;24:101849. doi: 10.1016/j.fochx.2024.101849. eCollection 2024 Dec 30.

DOI:10.1016/j.fochx.2024.101849
PMID:39386153
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11462172/
Abstract

This study was conducted to optimize the foam-mat drying conditions to maximize quality [β-carotene and total polyphenol content (TPC)] and drying rate of "Gấc" aril powder by using two novel statistical techniques as Response Surface Methodology (RSM) and Artificial Neural Network (ANN) couple with Genetic Algorithm (GA). During production process, level of egg albumin (EA) used for foaming process and drying temperature mainly influenced the drying rate and content of antioxidant compounds in powder. ANN model of 3-10-3 showed more accuracy and faster prediction capacity than RSM model did. ANN-GA model predicted the optimal conditions to be 13.31 % EA, 0.26 % xanthan gum and drying temperature of 73.1 °C, with the drying rate of 1.89 g-water/g-dry matter/min, β-carotene content of 395.88 μg/g, TPC of 1.68 mgGAE/g. These results confirmed the suitability and promising of foam-mat drying for "Gấc" aril powder production, to be producing food ingredient containing highly bioactive compounds.

摘要

本研究旨在通过使用两种新型统计技术，即响应面法（RSM）和结合遗传算法（GA）的人工神经网络（ANN），优化泡沫垫干燥条件，以最大限度地提高“Gấc”假种皮粉末的质量[β-胡萝卜素和总多酚含量（TPC）]及干燥速率。在生产过程中，用于发泡过程的蛋清（EA）水平和干燥温度主要影响粉末的干燥速率和抗氧化化合物含量。3-10-3的ANN模型比RSM模型显示出更高的准确性和更快的预测能力。ANN-GA模型预测的最佳条件为13.31%的EA、0.26%的黄原胶和73.1°C的干燥温度，干燥速率为1.89克水/克干物质/分钟，β-胡萝卜素含量为395.88微克/克，TPC为1.68毫克没食子酸当量/克。这些结果证实了泡沫垫干燥用于“Gấc”假种皮粉末生产的适用性和前景，即生产含有高生物活性化合物的食品成分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/fb466ec5f42c/gr10.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/67c8a2fa0f2d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/ca1e1fa910cc/gr6.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/f3bb9ef999e0/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/fb466ec5f42c/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/625b6e997bae/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/de2cad65b9f8/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/97e70d33efa8/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/ddef4c322e5b/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/67c8a2fa0f2d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/ca1e1fa910cc/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/92b1035e3ef1/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/a69ba7def668/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/f3bb9ef999e0/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3db5/11462172/fb466ec5f42c/gr10.jpg

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