Detection of Food Residues on Stainless Steel Surfaces Using Fluorescence Fingerprint
This study aimed to develop a method for the detection of food residues on the surface of stainless steel plates using fluorescence fingerprint (FF). Extracts of 20 food products were dropped on stainless steel plates as a model of food residues. Fluorescence fingerprint measurement of the food resi...
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Published in | FOOD SCIENCE AND TECHNOLOGY RESEARCH Vol. 26; no. 3; pp. 389 - 397 |
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Main Authors | , , , |
Format | Journal Article |
Language | English Japanese |
Published |
Tsukuba
Japanese Society for Food Science and Technology
01.01.2020
The Japanese Society for Food Science and Technology Japan Science and Technology Agency |
Subjects | |
Online Access | Get full text |
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Summary: | This study aimed to develop a method for the detection of food residues on the surface of stainless steel plates using fluorescence fingerprint (FF). Extracts of 20 food products were dropped on stainless steel plates as a model of food residues. Fluorescence fingerprint measurement of the food residues was carried out; the food residue samples were subsequently collected by swabbing the surface to determine adenosine triphosphate (ATP) luminescence. Partial least squares regression (PLSR) models were constructed to predict ATP luminescence (R2 = 0.60; RMSE = 1.57×105 RLU) and solid content (R2 = 0.46; RMSE = 0.89×10−4 g) on stainless steel surfaces from the FF data. From the coefficients of the prediction model, NADH and NADPH showed the greatest contribution to the prediction of solid content. |
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ISSN: | 1344-6606 1881-3984 |
DOI: | 10.3136/fstr.26.389 |