Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube
Chinese jujube (CJ) is a nutritious food. Its authenticity has received increasing attention. This research utilized computer vision, ultrafast gas-phase electronic nose, and GC–MS technologies to collect jujube samples from various regions in China, including Xinjiang, Gansu, Shaanxi, Henan, Shando...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Food Chemistry: X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590157525000367 |
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| _version_ | 1823856660872953856 |
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| author | Peng Chen Xiaoli Wang Rao Fu Xiaoyan Xiao Yu Li Tulin Lu Tao Wang Qiaosheng Guo Peina Zhou Chenghao Fei |
| author_facet | Peng Chen Xiaoli Wang Rao Fu Xiaoyan Xiao Yu Li Tulin Lu Tao Wang Qiaosheng Guo Peina Zhou Chenghao Fei |
| author_sort | Peng Chen |
| collection | DOAJ |
| description | Chinese jujube (CJ) is a nutritious food. Its authenticity has received increasing attention. This research utilized computer vision, ultrafast gas-phase electronic nose, and GC–MS technologies to collect jujube samples from various regions in China, including Xinjiang, Gansu, Shaanxi, Henan, Shandong, and Hebei. Multidimensional trait data, encompassing spectra, texture, and odour, were gathered. By employing multivariate statistical methods, 46 trait characteristic factors (VIP > 1, P < 0.05) were identified and utilized to rapidly differentiate jujube samples originating from different regions. The multivariate statistical analysis and support vector machine (SVM) classification were also combined to develop a novel artificial intelligence algorithm. The accuracy of this innovative method was significantly higher than that of conventional discriminant analysis methods, achieving a perfect 100.0 % accuracy. As a consequence of this research, more intelligent algorithms can be developed that trace the origin of food based on multidimensional data. |
| format | Article |
| id | doaj-art-56092bdb578a47939c9b76d8920e0289 |
| institution | Kabale University |
| issn | 2590-1575 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Food Chemistry: X |
| spelling | doaj-art-56092bdb578a47939c9b76d8920e02892025-02-12T05:32:29ZengElsevierFood Chemistry: X2590-15752025-01-0125102190Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujubePeng Chen0Xiaoli Wang1Rao Fu2Xiaoyan Xiao3Yu Li4Tulin Lu5Tao Wang6Qiaosheng Guo7Peina Zhou8Chenghao Fei9Institute of Chinese Medicinal Materials, Nanjing Agricultural University, Nanjing 210095, ChinaChangzhou Affiliated Hospital, Nanjing University of Chinese Medicine, Changzhou 213003, ChinaCollege of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, ChinaSuzhou Liliangji Health Industry Co., Ltd., Suzhou 215000, ChinaCollege of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, ChinaCollege of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, ChinaInstitute of Chinese Medicinal Materials, Nanjing Agricultural University, Nanjing 210095, ChinaInstitute of Chinese Medicinal Materials, Nanjing Agricultural University, Nanjing 210095, China; Corresponding authors.Institute of Plant Resources and Chemistry, Nanjing Research Institute for Comprehensive Utilization of Wild Plants, Nanjing 210042, China; Corresponding authors.Institute of Chinese Medicinal Materials, Nanjing Agricultural University, Nanjing 210095, China; Corresponding authors.Chinese jujube (CJ) is a nutritious food. Its authenticity has received increasing attention. This research utilized computer vision, ultrafast gas-phase electronic nose, and GC–MS technologies to collect jujube samples from various regions in China, including Xinjiang, Gansu, Shaanxi, Henan, Shandong, and Hebei. Multidimensional trait data, encompassing spectra, texture, and odour, were gathered. By employing multivariate statistical methods, 46 trait characteristic factors (VIP > 1, P < 0.05) were identified and utilized to rapidly differentiate jujube samples originating from different regions. The multivariate statistical analysis and support vector machine (SVM) classification were also combined to develop a novel artificial intelligence algorithm. The accuracy of this innovative method was significantly higher than that of conventional discriminant analysis methods, achieving a perfect 100.0 % accuracy. As a consequence of this research, more intelligent algorithms can be developed that trace the origin of food based on multidimensional data.http://www.sciencedirect.com/science/article/pii/S2590157525000367Chinese jujubeUF-GC-E-noseGC–MSMultivariate statisticsIntelligent algorithmTraceability |
| spellingShingle | Peng Chen Xiaoli Wang Rao Fu Xiaoyan Xiao Yu Li Tulin Lu Tao Wang Qiaosheng Guo Peina Zhou Chenghao Fei Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube Food Chemistry: X Chinese jujube UF-GC-E-nose GC–MS Multivariate statistics Intelligent algorithm Traceability |
| title | Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube |
| title_full | Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube |
| title_fullStr | Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube |
| title_full_unstemmed | Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube |
| title_short | Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube |
| title_sort | enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of chinese jujube |
| topic | Chinese jujube UF-GC-E-nose GC–MS Multivariate statistics Intelligent algorithm Traceability |
| url | http://www.sciencedirect.com/science/article/pii/S2590157525000367 |
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