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פותח על ידי קלירמאש פתרונות בע"מ -
NIRS detection of moldy core in apples
Year:
2010
Source of publication :
Food and Bioprocess Technology
Authors :
אגוזי, חיים
;
.
אוסטרובסקי, ויאצ'סלב
;
.
אלחנתי, ויקטור
;
.
הופמן, אהרון
;
.
לוריא, סוזן
;
.
שמילוביץ', זאב
;
.
שנדריי, קלרה
;
.
Volume :
3
Co-Authors:
Shenderey, C., Agricultural Engineering Dept., Civil and Environmental Engineering Faculty, Technion - Israel Institute of Technology, Haifa 8200, Israel
Shmulevich, I., Agricultural Engineering Dept., Civil and Environmental Engineering Faculty, Technion - Israel Institute of Technology, Haifa 8200, Israel
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Egozi, H., Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Hoffman, A., Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Ostrovsky, V., Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Lurie, S., Institute for Technology and Storage of Agricultural Products, Agricultural Research Organization, The Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Arie, R.B., Fruit Storage Research Laboratory, Kiryat Shemona 10200, Israel
Schmilovitch, Z., Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Facilitators :
From page:
79
To page:
86
(
Total pages:
8
)
Abstract:
Moldy core of apples is undetectable until the fruit is cut open or bitten into, therefore it can pose serious problems to both producer and consumer. Removal of diseased fruits prior to storage would be most desirable. The objective of this study was to evaluate the ability of VIS-NIR minispectrometers to detect moldy core in apples, on line. An apparatus which is qualified for on-line Near-Infrared Spectroscopy (NIRS) measurements was developed based on an off-the-shelf minispectrometer. Apples, cv. Red Delicious, were collected from several orchards before and during the commercial harvest, and were stored at 0°C pending the tests. The data were analyzed by chemometric procedures, specifically, by partial least squares regression (PLSR), and were classified by means of canonical discriminant analysis. The canonical variables were represented by the latent variables of PLS models based on the spectra. The accuracy of the classification results was high, in light of doubts regarding the moldy fraction threshold of 5%; in such a case the mold covers only the seed carpals of the fruit, where it might remain without really damaging the fruit. Improvements should aim to reduce errors in classifying low-level damage, and also in misclassifying some healthy fruits. The rate of testing (1 s per fruit) is acceptable for quality-control purposes, but should be accelerated for future packing-line implementation. © Springer Science + Business Media, LLC 2009.
Note:
Related Files :
Canonical variables
Fruits
infrared spectroscopy
Mold
quality control
spectroscopy
עוד תגיות
תוכן קשור
More details
DOI :
10.1007/s11947-009-0256-1
Article number:
0
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
29884
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:50
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NIRS detection of moldy core in apples
3
Shenderey, C., Agricultural Engineering Dept., Civil and Environmental Engineering Faculty, Technion - Israel Institute of Technology, Haifa 8200, Israel
Shmulevich, I., Agricultural Engineering Dept., Civil and Environmental Engineering Faculty, Technion - Israel Institute of Technology, Haifa 8200, Israel
Alchanatis, V., Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Egozi, H., Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Hoffman, A., Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Ostrovsky, V., Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Lurie, S., Institute for Technology and Storage of Agricultural Products, Agricultural Research Organization, The Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Arie, R.B., Fruit Storage Research Laboratory, Kiryat Shemona 10200, Israel
Schmilovitch, Z., Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
NIRS detection of moldy core in apples
Moldy core of apples is undetectable until the fruit is cut open or bitten into, therefore it can pose serious problems to both producer and consumer. Removal of diseased fruits prior to storage would be most desirable. The objective of this study was to evaluate the ability of VIS-NIR minispectrometers to detect moldy core in apples, on line. An apparatus which is qualified for on-line Near-Infrared Spectroscopy (NIRS) measurements was developed based on an off-the-shelf minispectrometer. Apples, cv. Red Delicious, were collected from several orchards before and during the commercial harvest, and were stored at 0°C pending the tests. The data were analyzed by chemometric procedures, specifically, by partial least squares regression (PLSR), and were classified by means of canonical discriminant analysis. The canonical variables were represented by the latent variables of PLS models based on the spectra. The accuracy of the classification results was high, in light of doubts regarding the moldy fraction threshold of 5%; in such a case the mold covers only the seed carpals of the fruit, where it might remain without really damaging the fruit. Improvements should aim to reduce errors in classifying low-level damage, and also in misclassifying some healthy fruits. The rate of testing (1 s per fruit) is acceptable for quality-control purposes, but should be accelerated for future packing-line implementation. © Springer Science + Business Media, LLC 2009.
Scientific Publication
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