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Author: search.filters.author.Luangsakul, NaphatrapiSubject: search.filters.subject.Antioxidant

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    Potential of modified rich-polyphenol red rice flour in production of healthy porridge for the elderly
    (2025-12-01)
    Luangsakul, Naphatrapi
    ;
    Tai, Ngo Van
    This study aimed to develop nutritionally enhanced red rice porridge suitable for elderly individuals by using native, ultrasonicated, and pregelatinized red rice flours (Hommali and Manpo). Porridges were formulated with 10 % and 15 % rice flour and evaluated for pasting and rheological properties, antioxidant release, and starch digestibility. All samples exhibited shear-thinning properties (n < 1). Ultrasonication, especially in the 15 % Manpo sample, significantly improved polyphenol release and reduced estimated glycemic index (eGI = 63.25), while achieving spoon-thick texture (IDDSI Level 4). Pregelatinized flours showed rapid rehydration, suitable for instant product. A high eGI (73.96) was also observed in the sample utilizing Hommali pregelatinized rice flour at a concentration of 10 %. Multivariate analysis confirmed the influence of flour modification and amylose content on functional attributes. These findings support ultrasound as a promising green technology for elderly-targeted porridge products. Especially, ultrasonicated red rice flour, particularly at 15 % concentration, provided an optimal balance between texture and functional bioactivity, making it a promising ingredient for elderly-focused nutritional products.
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    Intelligent model and optimization of ultrasound-assisted extraction of antioxidants and amylase enzyme from Gnaphalium affine D. Don
    (2025-01-01)
    Luangsakul, Naphatrapi
    ;
    Kunyanee, Kannika
    ;
    Kusumawardani, Sandra
    ;
    Ngo, Tai Van
    The study uses ultrasound-assisted extraction to recovery the antioxidant and amylase enzyme from Gnaphalium affine D. Don, namely “chewcut” in Thailand. The study involves two statistical methods: artificial neural networks (ANN) and response surface methodology (RSM) to model and optimize extraction procedure for improving the yield of antioxidant and amylase enzyme activity (AEA). Both RSM and ANN showed the potential to predict and find the optimal extraction conditions. However, ANN model could give more accurate values compared with validation test. ANN model found that under optimal conditions (temperature: 65.92 °C, ultrasonic power: 58.22 %, extraction time: 37.95 min), the total phenolic compounds, total flavonoid compounds, antioxidant activity and AEA were 218.35 ± 0.34 mgGAE/g, 0.554 ± 0.045 mgQE/g, 84.2 ± 0.2 %, 364.14 ± 1.35 mg-maltose/g. This is the first report on amylase potential of chewcut, which could be further served as the natural enzyme source. Moreover, by adding its bioactive compounds, it may be possible to improve nutraceutical properties and quality of products.