Most rice is consumed as cooked, milled rice, but a small portion is also ground into flour or separated into a starch fraction and used by the food industry as a gluten-free ingredient. This study aims to find out if different types of rice flour and starch, such as white and colored rice, could be used in industry. This study employs green modification techniques to slow down the digestion process by combining polyphenols with starch. Our initial study found that the raw colored rice has a lower glycemic index than other types of rice, such as brown or white rice. Another study that looked at how the quality of colored rice flour was changed by different methods also discovered that out of the six green methods (annealing, heat moisture treatment, ultrasound, pregelatinization, wet-microwave, and dry-microwave). It found that ultrasound improved the polyphenol bioaccessibility in the rice flour and reduced the digestion rate. The pregelatinization process led to the flour having high solubility and an estimated glycemic index. Different techniques affected the flour/starch quality in different ways. Therefore, for further industrial application, it could also be easier to select the method for food product based on their required techno-functional quality of flour/starch. In addition to the modification techniques, this study showed that the high bioaccessible polyphenol content and high polyphenol content in rice greatly slowed down the rate of digestion. This study also open for further exploring the possibility of using high polyphenol agricultural waste to modify starch and flour in a sustainable manner.
Rice (Oryza sativa L.) is a crucial staple crop that supplies nutritional sustenance for half of the global population (Shao et al., 2018). Moreover, rice constitutes a significant commercial crop in Thailand, with its grains serving as a staple food, and a diverse array of rice types is present throughout the nation (Suebpongsang et al., 2020). Multiple rice types have been developed in Thailand, including colored/pigmented rice and non-pigmented rice, commonly referred to as brown and white rice, which can be utilized in many industries (Yamuangmorn & Prom, 2021). Furthermore, rice is regarded as a naturally gluten-free ingredient. Rice flour or starch can be utilized to create a variety of products, including cookies, bread, noodles, and crackers. Due to the elevated carbohydrate content in rice, most rice products are regarded as having a high glycemic index (GI). The link between polyphenols and digestive behavior has become a topic of attention, particularly for rice and its products. Researchers predominantly conducted comparisons of the features of pigmented rice and non-pigmented rice (with/without eGI) across various areas or types (Tangsrianugul et al., 2019; Verma & Srivastav, 2020; Waewkum & Singthong, 2021). Nevertheless, there remains a deficiency in information regarding the association between endogenous antioxidant qualities and other starch characteristics, which might be further considered for predicting the nutritional value of rice and for enhancing the foundational knowledge necessary for the development of rice products. The versatility of rice flour in industrial applications is primarily influenced by its physicochemical properties and usefulness. Unprocessed rice has limited utility and applicability (Iqbal et al., 2023). Consequently, novel techniques are necessary to enhance the quality of rice flours for further processing. Therefore, this research may offer essential insights for further investigation into select rice varieties and modification techniques for specific industrial applications by utilizing the starch-polyphenols complex concept.
คณะวิทยาศาสตร์
Recruitment is a crucial process that enables organizations to select candidates whose qualifications match the requirements of a given position. However, this process often faces challenges related to data management, delays, and human bias. This research aims to design and develop an intelligent web application for employee recruitment using artificial intelligence (AI) technology to evaluate and score candidates' suitability for job positions. The system leverages data analysis techniques on resumes and a qualification-matching process based on predefined criteria. Developed using Agile principles, the system employs Natural Language Processing (NLP) to analyze resumes, assess candidates’ qualifications, skills, and experience, and utilizes Machine Learning to predict and rank suitability. The system consolidates data from multiple sources into a unified database to reduce redundancy and input errors. Additionally, it presents insights through a dashboard, enabling HR teams to make more effective hiring decisions.
คณะแพทยศาสตร์
Migraine, a prevalent neurological disorder, is the third most common disease globally, causing significant health and financial burdens. It has four stages: prodrome, aura, headache, and postdrome. The prodrome (also known as premonitory) stage is crucial as it precedes the headache by up to 72 hours. Taking medication during the premonitory peroid has shown to prevent the headache phase . However, the symptoms of premonitory period lack specificity, making it difficult for patients to know if they’re experiencing premonitory symptoms. Calcitonin-gene related peptide (cGRP),is a protein that plays a key role in migraine pathogenesis and studies found that salivary cGRP levels increase during the premonitory stage. This study aims to develop and evaluate a lateral flow immunoassay kit for detecting salivary cGRP levels in migraine patients during the prodrome stage. It can serve as a confirmation tool for premonitory symptoms.
คณะบริหารธุรกิจ
In an era where sustainability is at the heart of business operations, eco-friendly packaging is gaining increasing attention. This research explores sustainable business models for alternative packaging, focusing on the case of corn-based paper, an innovation that effectively replaces conventional plastic packaging. The study analyzes key factors that enable businesses using natural raw materials to remain competitive in the market, as well as the growth potential of sustainable packaging compared to plastic-based alternatives. Additionally, it examines the factors influencing consumer behavior in choosing eco-friendly products and evaluates the impact on profitability and social responsibility. This research employs both qualitative and quantitative methods, including case studies of businesses utilizing alternative materials, in-depth interviews with industry experts, and consumer behavior surveys. The findings are expected to provide insights into the business potential of corn-based packaging, strategies for market expansion, and approaches for long-term sustainability. The results of this study will serve as a valuable reference for entrepreneurs seeking to develop green businesses and policymakers aiming to promote sustainable packaging in the market.