Assessment of Tail-Cutting in Frozen Albacore (<i>Thunnus alalunga</i>) Through Ultrasound Inspection and Chemical Analysis
Fat content is the main criterion for evaluating albacore quality. However, no reports exist on the accuracy of the tail-cutting method, a method used to assess the fat content of albacore. Here, we evaluated this method by comparing it with chemical analysis and ultrasound inspection. We measured t...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Foods |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-8158/13/23/3860 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850260367194718208 |
|---|---|
| author | Masafumi Yagi Akira Sakai Suguru Yasutomi Kanata Suzuki Hiroki Kashikura Keiichi Goto |
| author_facet | Masafumi Yagi Akira Sakai Suguru Yasutomi Kanata Suzuki Hiroki Kashikura Keiichi Goto |
| author_sort | Masafumi Yagi |
| collection | DOAJ |
| description | Fat content is the main criterion for evaluating albacore quality. However, no reports exist on the accuracy of the tail-cutting method, a method used to assess the fat content of albacore. Here, we evaluated this method by comparing it with chemical analysis and ultrasound inspection. We measured the actual fat content in albacore using chemical analysis and compared the results with those obtained using the tail-cutting method. Significant discrepancies (99% CI, <i>t</i>-test) were observed in fat content among the tail-cutting samples. Using chemical analysis as the ground truth, the accuracy of tail-cutting from two different companies was 70.0% for company A and 51.9% for company B. An ultrasound inspection revealed that a higher fat content reduced the amplitude of ultrasound signals with statistical significance (99% CI, <i>t</i>-test). Finally, machine learning algorithms were used to enforce the ultrasound inspection. The best combination of ultrasound inspection and a machine learning algorithm achieved an 84.2% accuracy for selecting fat-rich albacore, which is better than tail-cutting (73.6%). Our findings suggested that ultrasound inspection could be a valuable and non-destructive method for estimating the fat content of albacore, achieving better accuracy than the traditional tail-cutting method. |
| format | Article |
| id | doaj-art-c09418daea084b84b809dd171c1f9ddc |
| institution | OA Journals |
| issn | 2304-8158 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj-art-c09418daea084b84b809dd171c1f9ddc2025-08-20T01:55:38ZengMDPI AGFoods2304-81582024-11-011323386010.3390/foods13233860Assessment of Tail-Cutting in Frozen Albacore (<i>Thunnus alalunga</i>) Through Ultrasound Inspection and Chemical AnalysisMasafumi Yagi0Akira Sakai1Suguru Yasutomi2Kanata Suzuki3Hiroki Kashikura4Keiichi Goto5School of Marine Science and Technology, Tokai University, 3-20-1 Orido, Shimizu-ku, Shizuoka-shi 424-8610, Shizuoka, JapanArtificial Intelligence Laboratory, Fujitsu Limited, 4-1-1 Kamikodanaka, Nakahara-ku, Kawasaki-shi 211-8588, Kanagawa, JapanArtificial Intelligence Laboratory, Fujitsu Limited, 4-1-1 Kamikodanaka, Nakahara-ku, Kawasaki-shi 211-8588, Kanagawa, JapanArtificial Intelligence Laboratory, Fujitsu Limited, 4-1-1 Kamikodanaka, Nakahara-ku, Kawasaki-shi 211-8588, Kanagawa, JapanGraduate School of Marine Science and Technology, Tokai University, 3-20-1 Orido, Shimizu-ku, Shizuoka-shi 424-8610, Shizuoka, JapanSchool of Marine Science and Technology, Tokai University, 3-20-1 Orido, Shimizu-ku, Shizuoka-shi 424-8610, Shizuoka, JapanFat content is the main criterion for evaluating albacore quality. However, no reports exist on the accuracy of the tail-cutting method, a method used to assess the fat content of albacore. Here, we evaluated this method by comparing it with chemical analysis and ultrasound inspection. We measured the actual fat content in albacore using chemical analysis and compared the results with those obtained using the tail-cutting method. Significant discrepancies (99% CI, <i>t</i>-test) were observed in fat content among the tail-cutting samples. Using chemical analysis as the ground truth, the accuracy of tail-cutting from two different companies was 70.0% for company A and 51.9% for company B. An ultrasound inspection revealed that a higher fat content reduced the amplitude of ultrasound signals with statistical significance (99% CI, <i>t</i>-test). Finally, machine learning algorithms were used to enforce the ultrasound inspection. The best combination of ultrasound inspection and a machine learning algorithm achieved an 84.2% accuracy for selecting fat-rich albacore, which is better than tail-cutting (73.6%). Our findings suggested that ultrasound inspection could be a valuable and non-destructive method for estimating the fat content of albacore, achieving better accuracy than the traditional tail-cutting method.https://www.mdpi.com/2304-8158/13/23/3860frozen tunafrozen albacoretail-cuttingfat contentultrasoundmachine learning |
| spellingShingle | Masafumi Yagi Akira Sakai Suguru Yasutomi Kanata Suzuki Hiroki Kashikura Keiichi Goto Assessment of Tail-Cutting in Frozen Albacore (<i>Thunnus alalunga</i>) Through Ultrasound Inspection and Chemical Analysis Foods frozen tuna frozen albacore tail-cutting fat content ultrasound machine learning |
| title | Assessment of Tail-Cutting in Frozen Albacore (<i>Thunnus alalunga</i>) Through Ultrasound Inspection and Chemical Analysis |
| title_full | Assessment of Tail-Cutting in Frozen Albacore (<i>Thunnus alalunga</i>) Through Ultrasound Inspection and Chemical Analysis |
| title_fullStr | Assessment of Tail-Cutting in Frozen Albacore (<i>Thunnus alalunga</i>) Through Ultrasound Inspection and Chemical Analysis |
| title_full_unstemmed | Assessment of Tail-Cutting in Frozen Albacore (<i>Thunnus alalunga</i>) Through Ultrasound Inspection and Chemical Analysis |
| title_short | Assessment of Tail-Cutting in Frozen Albacore (<i>Thunnus alalunga</i>) Through Ultrasound Inspection and Chemical Analysis |
| title_sort | assessment of tail cutting in frozen albacore i thunnus alalunga i through ultrasound inspection and chemical analysis |
| topic | frozen tuna frozen albacore tail-cutting fat content ultrasound machine learning |
| url | https://www.mdpi.com/2304-8158/13/23/3860 |
| work_keys_str_mv | AT masafumiyagi assessmentoftailcuttinginfrozenalbacoreithunnusalalungaithroughultrasoundinspectionandchemicalanalysis AT akirasakai assessmentoftailcuttinginfrozenalbacoreithunnusalalungaithroughultrasoundinspectionandchemicalanalysis AT suguruyasutomi assessmentoftailcuttinginfrozenalbacoreithunnusalalungaithroughultrasoundinspectionandchemicalanalysis AT kanatasuzuki assessmentoftailcuttinginfrozenalbacoreithunnusalalungaithroughultrasoundinspectionandchemicalanalysis AT hirokikashikura assessmentoftailcuttinginfrozenalbacoreithunnusalalungaithroughultrasoundinspectionandchemicalanalysis AT keiichigoto assessmentoftailcuttinginfrozenalbacoreithunnusalalungaithroughultrasoundinspectionandchemicalanalysis |