Spent coffee grounds (SCGs) are waste from coffee drink process, which are rich of a varieties of nutrients. This research applied SCGs as ingredient in cracker. The optimized formula and process are studied as well as addition of different levels of SCGs were studied. It was found that addition of SCGs in cracker had hedonic score in high level from panels, especially panels who drink coffee. Moreover, it was observed that SCGs could increase nutrients especially carbohydrate and fiber to the product.
ผลิตภัณฑ์เบเกอรี เป็นผลิตภัณฑ์ที่ผู้บริโภคนิยมชื่นชอบ และสะดวกต่อการบริโภคทั้งในเวลาเร่งด่วนและเวลาว่าง โดยเฉพาะแครกเกอร์ซึ่งเป็นหนึ่งในผลิตภัณฑ์ที่สะดวกพกพา และสามารถนำมาบริโภคได้ในทุกช่วงเวลา การเสริมคุณค่าทางโภชนาการในแครกเกอร์ จึงมีส่วนช่วยให้ผู้บริิโภคได้รับประโยชน์มากขึ้น นอกจากนี้ แครกเกอร์มีองค์ประกอบของส่วนผสมที่อาจส่งผลต่อคุณภาพ โดยเฉพาะไขมัน แนวมลทางการใช้ประโยชน์จากวัตถุดิบที่มีส่วยช่วยในการเสริมสารอาหารแบะช่วยต้านการเกิดปฎิกิริยาออกซิเดชันเนื่องจากไขมัน จึงมีศักยภาพในการนำไปใช้ผลิตจริง กากกาแฟจึงนับเป็นวัตถุดิบที่มีคุณลักษณะดังกล่าว งานวิจัยนี้จึงใช้กากกาแฟในการเสริมอาหารให้กับแครกเกอร์ ด้วยกากกาแฟมีใยอาหาร มีสารประกอบโพลีฟีนอลดและยังเป็นการใช้ประโยชน์จากส่วนเหลือการชงกาแฟ ได้อย่างมีประสิทธิภาพ
คณะอุตสาหกรรมอาหาร
The consumption of plant-based products has been gaining popularity as consumers become more health-conscious and aware of environmental impacts. The food industry has been developing meat analogs with properties similar to conventional meat. This study investigates the chemical and physical properties of chickpea-based meat analog burgers and hybrid burgers containing both chickpeas and pork, using the sous-vide cooking method. This technique helps maintain food quality in terms of texture, moisture retention, and nutritional value. The experiment examined various properties of both types of burgers, including cooking loss, water holding capacity, shear force, pH value, and color analysis. Additionally, sensory evaluation was conducted to assess taste, texture, and overall consumer preference. The findings will provide insights into the optimal sous-vide conditions for producing plant-based and hybrid burgers with desirable quality characteristics that meet the needs of health-conscious consumers. This study serves as a valuable guideline for the food industry in developing high-nutritional-value alternative protein products while reducing meat consumption. By incorporating plant-based ingredients, it helps minimize environmental impact and promotes sustainability in food production. The research is significant in both food science and the development of healthier, competitive food products for the future market.
คณะบริหารธุรกิจ
In a world increasingly focused on sustainability and reducing environmental impact, DreamHigh is pioneering an innovative approach to packaging solutions using mycelium—a natural, biodegradable, and renewable material derived from fungi. Our mission is to revolutionize the packaging industry by offering eco-friendly alternatives that not only reduce waste but also align with global efforts to combat climate change. Mycelium packaging offers a compelling alternative to traditional plastic and Styrofoam packaging, which contribute significantly to environmental pollution. It is fully biodegradable, compostable, and capable of breaking down in natural environments within weeks, leaving no toxic residues behind. Additionally, mycelium-based products are lightweight, durable, and customizable, making them suitable for a wide range of applications, from consumer goods packaging to protective shipping materials. DreamHigh’s business plan outlines a scalable production process leveraging advanced mycelium cultivation techniques and partnerships with local agricultural sectors to utilize agricultural waste as a key raw material. This not only ensures cost-efficiency but also supports a circular economy by repurposing waste that would otherwise be discarded.
วิทยาลัยนวัตกรรมการผลิตขั้นสูง
This research aims to develop an automatic gemstone color sorting machine to overcome the limitations of manual color sorting, which can be restricted by speed and accuracy. This study applies deep learning technology to analyze and classify gemstone colors precisely, developing an algorithm capable of accurately detecting and categorizing color shades. An automated conveyor system was also designed to efficiently transport gemstones through the color sorting process, allowing for continuous operation. The sorting machine works by capturing high-resolution images of the gemstones, processing them with software to classify color shades, and directing each gemstone to its designated position on the automated conveyor. Experimental results demonstrate that the automated color sorting machine, integrated with the conveyor system, achieves high speed and accuracy, significantly reducing labor costs and enhancing the efficiency of gemstone color sorting.