DSpace 集合:http://scholars.ntou.edu.tw/handle/123456789/2072024-03-26T12:49:50Z2024-03-26T12:49:50ZOral supplementation of vegan collagen biomimetic has beneficial effects on human skin physiology: A double-blind, placebo-controlled studyLin, Yung-KaiLiang, Chia-HuaLine, Yung-HsiangLine, Tai-WenVazquez, Josue Jimenezvan Campen, AnthonyChiang, Chi-Fuhttp://scholars.ntou.edu.tw/handle/123456789/246372024-03-05T07:53:28Z2024-01-01T00:00:00Z標題: Oral supplementation of vegan collagen biomimetic has beneficial effects on human skin physiology: A double-blind, placebo-controlled study
作者: Lin, Yung-Kai; Liang, Chia-Hua; Line, Yung-Hsiang; Line, Tai-Wen; Vazquez, Josue Jimenez; van Campen, Anthony; Chiang, Chi-Fu
摘要: Background: Vegan collagen is an innovative plant-based collagen biomimetic that contains a variety of plant extracts, including asiaticoside, ginsenoside, and through fermented amino acids, which stimulates the natural process for type I collagen synthesis.Methods: In this study, using vegan collagen (Corpowell BV, Schilde, Belgium) to explore the skin beautifying effects in the human body. 90 subjects were recruited and divided into a placebo group (n = 30), a vegan collagen group (n = 30), and a fish collagen group (n = 30). Subjects were informed to consume 1 sachet of the sample daily for 8 weeks. Skin conditions were measured at week 0, week 4 and week 8.Results: The results showed that vegan collagen significantly increased collagen density and elasticity by 4.7% and 5.1% and decreased wrinkles, texture, and pores by 27.5%, 20.1%, and 12.3% compared to the placebo group. In addition, the hydration and lightness were increased by 4.3% and 2.3% compared to the placebo group.Conclusion: Vegan collagen has the potential to improve skin collagen density, elasticity, texture, wrinkles, pores, hydration, and lightness.2024-01-01T00:00:00ZDietary Exposure and Risk Assessment of Beta-Agonist Residues in Commercial Beef and Pork in TaiwanYou, Shu-HanLee, Chieh-Ninghttp://scholars.ntou.edu.tw/handle/123456789/245832024-03-04T08:53:23Z2023-11-01T00:00:00Z標題: Dietary Exposure and Risk Assessment of Beta-Agonist Residues in Commercial Beef and Pork in Taiwan
作者: You, Shu-Han; Lee, Chieh-Ning
摘要: Beta-agonists (beta-agonists) in meat products in one's diet raise concerns about the possibility of foodborne illness. It may also lead to discomfort, such as headaches and occasional irregular heartbeats, which might be linked to a heightened concern for cardiovascular issues. Taiwan's high demand for meat and reliance on imported meat products from certain countries where beta-agonists are permitted has raised concerns. Recent import border checks and monitoring of meat products in the market have revealed the concentration of non-compliance with beta-agonist residue regulations, which is ten ppb. This study aims to analyze the concentration of beta-agonist residues in meat products sold in Taiwan and assess the current levels of exposure and dietary risk for consumers. The study analyzed 1415 samples of domestically produced and imported livestock products from supermarkets, traditional markets, and bulk stores in New Taipei City between 2019 and 2023. The samples were analyzed using the method for detecting 21 beta-agonists based on the Taiwan Food and Drug Administration's specifications. Estimated daily intake (EDI) of beta-agonists for different age groups and the target hazard quotient (THQ) were used to assess dietary exposure and risk. The results showed that all 1415 samples were compliant with regulations. Among them, 43 beef samples showed residues of ractopamine originating from the United States, with residue concentrations ranging from 1 to 10 mu g/kg and an average residue concentration of 3.3 +/- 1.9 mu g/kg. Under average consumption, the highest EDI for the exposed population was observed in the 6-12 age group, with values of 0.1469 mu g/kg/day, 0.0734 mu g/kg/day, and 0.0242 mu g/kg/day for the three residue concentrations (maximum detected residue, maximum allowable residue, and average detected residue, respectively). The THQs for ractopamine in imported beef samples were all less than 1, indicating no health hazards at the current intake levels of each age group and the residue concentrations in commercially available beef. Despite the findings, traders need to acknowledge regulatory variations between Taiwan and exporting countries when importing meat products. Traders should provide inspection reports to monitor beta-agonist residue levels in imports or explore sourcing beef from countries with beta-agonist bans.2023-11-01T00:00:00ZDesign of an Artificial Intelligence of Things-Based Sesame Oil Evaluator for Quality Assessment Using Gas Sensors and Deep Learning MechanismsKu, Hao-HsiangLung, Ching-FuChi, Ching-Hohttp://scholars.ntou.edu.tw/handle/123456789/245812024-03-04T08:53:22Z2023-11-01T00:00:00Z標題: Design of an Artificial Intelligence of Things-Based Sesame Oil Evaluator for Quality Assessment Using Gas Sensors and Deep Learning Mechanisms
作者: Ku, Hao-Hsiang; Lung, Ching-Fu; Chi, Ching-Ho
摘要: Traditional oil quality measurement is mostly based on chemical indicators such as acid value, peroxide value, and p-anisidine value. This process requires specialized knowledge and involves complex steps. Hence, this study designs and proposes a Sesame Oil Quality Assessment Service Platform, which is composed of an Intelligent Sesame Oil Evaluator (ISO Evaluator) and a Cloud Service Platform. Users can quickly assess the quality of sesame oil using this platform. The ISO Evaluator employs Artificial Intelligence of Things (AIoT) sensors to detect changes in volatile gases and the color of the oil during storage. It utilizes deep learning mechanisms, including Artificial Neural Network (ANN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) to determine and evaluate the quality of the sesame oil. Evaluation results demonstrate that the linear discriminant analysis (LDA) value is 95.13. The MQ2, MQ3, MQ4, MQ7, and MQ8 sensors have a positive correlation. The CNN combined with an ANN model achieves a Mean Absolute Percentage Error (MAPE) of 8.1820% for predicting oil quality, while the LSTM model predicts future variations in oil quality indicators with a MAPE of 0.44%. Finally, the designed Sesame Oil Quality Assessment Service Platform effectively addresses issues related to digitization, quality measurement, supply quality observation, and scalability.2023-11-01T00:00:00ZOral Zinc-Rich Oyster Supplementation Corrects Anemia in RatsChen, Yen-HuaFeng, Hui-LinLu, Yu-ChengJeng, Sen-Shyonghttp://scholars.ntou.edu.tw/handle/123456789/245612024-03-04T08:53:16Z2023-11-01T00:00:00Z標題: Oral Zinc-Rich Oyster Supplementation Corrects Anemia in Rats
作者: Chen, Yen-Hua; Feng, Hui-Lin; Lu, Yu-Cheng; Jeng, Sen-Shyong
摘要: This study investigates the impact of various zinc supplementation methods on anemia in rats induced by phenylhydrazine (PHZ) and in 5/6-nephrectomized anemic rats. We compare oral zinc sulfate (ZnSO4) supplementation, oyster Crassostrea gigas supplementation, and hard clam Meretrix lusoria supplementation on red blood cell (RBC) levels. Oral zinc-rich oyster supplementation (2.70 mg Zn (30 g oyster)/day/rat) effectively corrects anemia in both experimental groups. Rats orally fed oysters for four days exhibit similar effectiveness as those receiving a single ZnSO4 injection (0.95 mg Zn (4.18 mg ZnSO4 & sdot;7H2O)/rat). In contrast, oral ZnSO4 supplementation (2.70 mg Zn (11.88 mg ZnSO4 & sdot;7H2O)/day/rat) does not significantly increase RBC levels, suggesting better zinc absorption from oysters. A placebo group of anemic rats supplemented with hard clams, similar in composition to oysters but much lower in zinc, did not change RBC counts. This supports oysters' high zinc content as the key to correcting anemia. Oysters also contain high iron levels, offering a potential solution for iron-deficiency anemia while supporting bone marrow erythropoiesis. In summary, oral oyster supplementation emerges as an effective strategy to correct anemia in rats with added zinc and iron support for erythropoiesis.2023-11-01T00:00:00Z