Detection of produce residues on processing equipment surfaces using fluorescence imaging

Chansong Hwang; Changyeun Mo; Giyoung Kim; Moon Kim

doi:10.1117/12.2520764

30 April 2019 Detection of produce residues on processing equipment surfaces using fluorescence imaging

Chansong Hwang, Changyeun Mo, Giyoung Kim, Moon Kim

Proceedings Volume 11016, Sensing for Agriculture and Food Quality and Safety XI; 110160O (2019) https://doi.org/10.1117/12.2520764
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

A rapid and reliable inspection technique for determining sanitation status of produce processing equipment surfaces in processing facilities is needed to help reduce potential food safety risks. In this study, fluorescence imaging methods were evaluated to detect produce residues on the surfaces of food processing equipment such as stainless steel (STS). Contamination spots on the STS were created using droplets of a range of dilutions of carrot juice. Hyperspectral fluorescence images of the sample surfaces were obtained using excitation light sources based on ultraviolet LEDs (365 nm) and on violet LEDs (405 nm) for comparison. Image and spectral data were analyzed to determine optimal single bands and two-band ratios to detect the juice residue spots of the STS, and a support vector machine (SVM) algorithm was applied to the ratio images to determine classification accuracies. These results suggest that the simple multispectral fluorescence imaging methods can potentially be incorporated into portable imaging devices for spot-checking food contact surfaces for contaminants in processing facilities.

Citation Download Citation

Chansong Hwang, Changyeun Mo, Giyoung Kim, and Moon Kim "Detection of produce residues on processing equipment surfaces using fluorescence imaging", Proc. SPIE 11016, Sensing for Agriculture and Food Quality and Safety XI, 110160O (30 April 2019); https://doi.org/10.1117/12.2520764

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available