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Full-Text Articles in Life Sciences
Mushrooom Production Without Solid Substrates, Alexander Baena, Marshall Porterfield
Mushrooom Production Without Solid Substrates, Alexander Baena, Marshall Porterfield
Graduate Industrial Research Symposium
Novel biotechnological approaches are needed to enhance renewable food production and waste recycling capabilities in resource-constrained environments. Edible mushrooms possess nutritious profiles and represent emerging opportunities to develop circular bioproduction by transforming waste organic materials into food and high-value products. However, traditional mushroom cultivation methods utilizing solid substrates have technical limitations like 1) uneven nutrient diffusion, 2) constant sterilization needs, 3) numerous intermediate steps that are energy and time-demanding, and 4) waste production from bags and jars. This work introduces an innovative hydroponic fungal cultivation system called Mycoponics™ using bioengineered ceramic materials. This liquid-nutrient-based technique optimizes fungal metabolism and facilitates …
Online Class-Incremental Learning For Real-World Food Image Classification, Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu
Online Class-Incremental Learning For Real-World Food Image Classification, Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu
Graduate Industrial Research Symposium
Food image classification is essential for monitoring health and tracking dietary in image-based dietary assessment methods. However, conventional systems often rely on static datasets with fixed classes and uniform distribution. In contrast, real-world food consumption patterns, shaped by cultural, economic, and personal influences, involve dynamic and evolving data. Thus, it requires the classification system to cope with continuously evolving data. Online Class Incremental Learning (OCIL) addresses the challenge of learning continuously from a single-pass data stream while adapting to the new knowledge and reducing catastrophic forgetting. Experience Replay (ER) based OCIL methods store a small portion of previous data and …
Nucleic Acid Detection Of Live Pathogens On Contaminated Foods, Simerdeep Kaur, Mohit Verma
Nucleic Acid Detection Of Live Pathogens On Contaminated Foods, Simerdeep Kaur, Mohit Verma
Graduate Industrial Research Symposium
The goal is to develop a point-of-care biosensor for the detection of live pathogens contaminating beef products. Biosensing of live pathogens is based on isothermal amplification of nucleic acid on a paper-based device. A colorimetric dye is employed as an indicator of the amplification product for visual result. The assay incorporates a compound Propidium monoazide (PMA) that makes the DNA from dead cells inaccessible for amplification. This approach is especially applicable for pathogens that can enter a viable but non-culturable state (VBNC).