Antioxidant activity according to bioactive compounds content in dried pumpkin waste

IF 1 4区 化学 Q4 CHEMISTRY, MULTIDISCIPLINARY Journal of The Serbian Chemical Society Pub Date : 2023-01-01 DOI:10.2298/jsc230517043s
Sladjana Stajčić, L. Pezo, G. Ćetković, J. Čanadanović-Brunet, A. Mandić, V. Tumbas-Saponjac, Jelena J Vulić, Vanja Travičić, M. Belović
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Abstract

In this study, for the preparation of dried pumpkin waste, freeze-drying and oven-drying (at 50?C and 65?C) were applied. Effect of drying methods on physical properties (moisture content, water activity, hygroscopicity, water solubility, bulk and tapped density, flowability and colour), content of bioactive compounds (carotenoids and phenolics) and antioxidant activity was investigated. Also, influence of one-year storage at -20?C on the bioactive compounds content and antioxidant activity of dried pumpkin waste was examined. Results indicated that drying method showed a significant impact on the investigated characteristics. Bioactive compounds content and antioxidant activity by DPPH test of freeze-dried were higher than of oven-dried pumpkin waste, while higher antioxidant activity in reducing power assay was determined by oven-dried pumpkin waste. An artificial neural network model was developed, for the anticipation of antioxidant activity according to bioactive compounds content (phenolics and carotenoids), in oven-dried (at 50?C and 65?C) and in freeze-dried pumpkin waste after one-year storage. These models showed good prediction properties (the r2 value during training cycle for output variables was 0.999). It was demonstrated that pumpkin waste is potentially an important source of bioactive compounds, which can be used after extraction in suitable forms in the development of functional food products.
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根据南瓜干废中生物活性物质的含量测定其抗氧化活性
在本研究中,对南瓜废干的制备进行了冷冻干燥和烘箱干燥(50?C和65℃)。研究了干燥方法对其物理性质(水分含量、水活度、吸湿性、水溶性、体积和密度、流动性和颜色)、生物活性化合物(类胡萝卜素和酚类物质)含量和抗氧化活性的影响。另外,在-20℃下贮存一年的影响?对南瓜干渣的生物活性成分含量和抗氧化活性进行了研究。结果表明,干燥方法对所研究的特性有显著影响。冻干南瓜渣的生物活性成分含量和DPPH抗氧化活性均高于烘干南瓜渣,而烘干南瓜渣的抗氧化活性高于烘干南瓜渣。开发了一个人工神经网络模型,根据生物活性化合物(酚类和类胡萝卜素)含量预测抗氧化活性,在烘箱干燥(50?C和65°C),并在冷冻干燥的南瓜废料中保存一年。这些模型具有良好的预测性能(输出变量在训练周期的r2值为0.999)。研究结果表明,南瓜渣是一种潜在的重要生物活性物质来源,经提取后可用于功能性食品的开发。
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来源期刊
CiteScore
1.80
自引率
0.00%
发文量
76
审稿时长
1 months
期刊介绍: The Journal of the Serbian Chemical Society -JSCS (formerly Glasnik Hemijskog društva Beograd) publishes articles original papers that have not been published previously, from the fields of fundamental and applied chemistry: Theoretical Chemistry, Organic Chemistry, Biochemistry and Biotechnology, Food Chemistry, Technology and Engineering, Inorganic Chemistry, Polymers, Analytical Chemistry, Physical Chemistry, Spectroscopy, Electrochemistry, Thermodynamics, Chemical Engineering, Textile Engineering, Materials, Ceramics, Metallurgy, Geochemistry, Environmental Chemistry, History of and Education in Chemistry.
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