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Foods
February 2025
BIOGEST-SITEIA Interdepartmental Center, Department of Life Sciences (Agro-Food Science Area), University of Modena and Reggio Emilia, Piazzale Europa 1A, 42124 Reggio Emilia, Italy.
Background: The pandemic and lockdown caused a slowdown or halt in many work activities across sectors, including academic research, which had to adapt lab procedures to lockdown restrictions. This study aimed to assess an innovative approach to sensory analysis that aligned with the pandemic's constraints and could enhance traditional methods even in normal conditions.
Methods: Remote training of judges was conducted to test the method's effectiveness.
Biosensors (Basel)
January 2025
Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China.
Continuous glucose monitoring based on the minimally invasive implantation of glucose sensor is characterized by high accuracy and good stability. At present, glucose concentration monitoring based on fluorescent glucose capsule sensor is a new development trend. In this paper, we design a fluorescent glucose capsule sensor with a design optimization study.
View Article and Find Full Text PDFFood Chem
March 2025
Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, PR China; School of Food Science and Engineering, Ningxia University, Yinchuan 750021, China. Electronic address:
BMC Microbiol
November 2024
Chemistry of Flavour and Aroma Department, Food Industries and Nutrition Research Institute, National Research Centre, Giza, Dokki, 12622, Egypt.
Sci Rep
November 2024
Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Detecting glucose levels is crucial for diabetes patients as it enables timely and effective management, preventing complications and promoting overall health. In this endeavor, we have designed a novel, affordable point-of-care diagnostic device utilizing microfluidic principles, a smartphone camera, and established laboratory colorimetric methods for accurate glucose estimation. Our proposed microfluidic device comprises layers of adhesive poly-vinyl films stacked on a poly methyl methacrylate (PMMA) base sheet, with micro-channel contours precision-cut using a cutting printer.
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