scholarly journals A 1064 nm Dispersive Raman Spectral Imaging System for Food Safety and Quality Evaluation

2018 ◽  
Vol 8 (3) ◽  
pp. 431 ◽  
Author(s):  
Kuanglin Chao ◽  
Sagar Dhakal ◽  
Jianwei Qin ◽  
Moon Kim ◽  
Yankun Peng
Keyword(s):  
Food Safety ◽  
Quality Evaluation ◽  
Imaging System ◽  
Spectral Imaging ◽  
Raman Spectral ◽  
Food Safety And Quality

Development of Handheld Two-Band Spectral Imaging System for Food Safety Inspection

2008 ◽  
Vol 1 (2) ◽  
pp. 145-157 ◽  
Author(s):  
M. Kise ◽  
B. Park ◽  
K. C. Lawrence ◽  
W. R. Windham
Keyword(s):  
Food Safety ◽  
Imaging System ◽  
Spectral Imaging

Handbook of organic food safety and quality

2007 ◽  
Author(s):  
Julia Cooper ◽  
Urs Niggli ◽  
Carlo Leifert
Keyword(s):  
Food Safety ◽  
Organic Food ◽  
Food Safety And Quality

scholarly journals Raman spectral imaging of 13C2H15N-labeled α-synuclein amyloid fibrils in cells

2021 ◽  
Vol 269 ◽  
pp. 106528
Author(s):  
Matthew D. Watson ◽  
Jessica D. Flynn ◽  
Jennifer C. Lee
Keyword(s):  
Amyloid Fibrils ◽  
Spectral Imaging ◽  
Raman Spectral ◽  
In Cells

scholarly journals Simplified Approach to Predict Food Safety through the Maximum Specific Bacterial Growth Rate as Function of Extrinsic and Intrinsic Parameters

2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Pedro D. Gaspar ◽  
Joel Alves ◽  
Pedro Pinto
Keyword(s):  
Growth Rate ◽  
Food Safety ◽  
Information And Communication Technologies ◽  
Bacterial Growth ◽  
Low Cost ◽  
Extrinsic Factors ◽  
Bacterial Growth Rate ◽  
Modeling Tools ◽  
Simplified Approach ◽  
Food Safety And Quality

Currently, we assist the emergence of sensors and low-cost information and communication technologies applied to food products, in order to improve food safety and quality along the food chain. Thus, it is relevant to implement predictive mathematical modeling tools in order to predict changes in the food quality and allow decision-making for expiration dates. To perform that, the Baranyi and Roberts model and the online tool Combined Database for Predictive Microbiology (Combase) were used to determine the factors that define the growth of different bacteria. These factors applied to the equation that determines the maximum specific growth rate establish a relation between the bacterial growth and the intrinsic and extrinsic factors that define the bacteria environment. These models may be programmed in low-cost wireless biochemical sensor devices applied to packaging and food supply chains to promote food safety and quality through real time traceability.

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