Egg Freshness Evaluation Using Transmission and Reflection of NIR Spectroscopy Coupled Multivariate Analysis
This work presents a novel work for the detection of the freshness of eggs stored at room temperature and refrigerated conditions by the near-infrared (NIR) spectroscopy and multivariate models. The NIR spectroscopy of diffuse transmission and reflection modes was used to compare the quantitative an...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/10/9/2176 |
| _version_ | 1797519295617433600 |
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| author | Fuyun Wang Hao Lin Peiting Xu Xiakun Bi Li Sun |
| author_facet | Fuyun Wang Hao Lin Peiting Xu Xiakun Bi Li Sun |
| author_sort | Fuyun Wang |
| collection | DOAJ |
| description | This work presents a novel work for the detection of the freshness of eggs stored at room temperature and refrigerated conditions by the near-infrared (NIR) spectroscopy and multivariate models. The NIR spectroscopy of diffuse transmission and reflection modes was used to compare the quantitative and qualitative investigation of egg freshness. It was found that diffuse transmission is more conducive to the judgment of egg freshness. The linear discriminant analysis model (LDA) for pattern recognition based on the diffuse transmission measurement was employed to analyze egg freshness during storage. NIR diffuse transmission spectroscopy showed great potential for egg storage time discrimination in normal atmospheric conditions. The LDA model discrimination rated up to 91.4% in the prediction set, while only 25.6% of samples were correctly discriminated among eggs in refrigerated storage conditions. Furthermore, NIR spectra, combined with the synergy interval partial least squares (Si-PLS) model, showed excellent ability in egg physical index prediction under normal atmospheric conditions. The root means square error of prediction (RMSEP) values of Haugh unit, yolk index, and weight loss from predictive Si-PLS models were 4.25, 0.031, and 0.005432, respectively. |
| first_indexed | 2024-03-10T07:40:50Z |
| format | Article |
| id | doaj.art-a0695115b5054edd9b2b8e54f3610393 |
| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-03-10T07:40:50Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj.art-a0695115b5054edd9b2b8e54f36103932023-11-22T13:05:27ZengMDPI AGFoods2304-81582021-09-01109217610.3390/foods10092176Egg Freshness Evaluation Using Transmission and Reflection of NIR Spectroscopy Coupled Multivariate AnalysisFuyun Wang0Hao Lin1Peiting Xu2Xiakun Bi3Li Sun4School of Food and Biological Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, ChinaThis work presents a novel work for the detection of the freshness of eggs stored at room temperature and refrigerated conditions by the near-infrared (NIR) spectroscopy and multivariate models. The NIR spectroscopy of diffuse transmission and reflection modes was used to compare the quantitative and qualitative investigation of egg freshness. It was found that diffuse transmission is more conducive to the judgment of egg freshness. The linear discriminant analysis model (LDA) for pattern recognition based on the diffuse transmission measurement was employed to analyze egg freshness during storage. NIR diffuse transmission spectroscopy showed great potential for egg storage time discrimination in normal atmospheric conditions. The LDA model discrimination rated up to 91.4% in the prediction set, while only 25.6% of samples were correctly discriminated among eggs in refrigerated storage conditions. Furthermore, NIR spectra, combined with the synergy interval partial least squares (Si-PLS) model, showed excellent ability in egg physical index prediction under normal atmospheric conditions. The root means square error of prediction (RMSEP) values of Haugh unit, yolk index, and weight loss from predictive Si-PLS models were 4.25, 0.031, and 0.005432, respectively.https://www.mdpi.com/2304-8158/10/9/2176near-infrared spectroscopynon-destructive detectiondiffuse transmission spectrum acquisitionfreshness |
| spellingShingle | Fuyun Wang Hao Lin Peiting Xu Xiakun Bi Li Sun Egg Freshness Evaluation Using Transmission and Reflection of NIR Spectroscopy Coupled Multivariate Analysis Foods near-infrared spectroscopy non-destructive detection diffuse transmission spectrum acquisition freshness |
| title | Egg Freshness Evaluation Using Transmission and Reflection of NIR Spectroscopy Coupled Multivariate Analysis |
| title_full | Egg Freshness Evaluation Using Transmission and Reflection of NIR Spectroscopy Coupled Multivariate Analysis |
| title_fullStr | Egg Freshness Evaluation Using Transmission and Reflection of NIR Spectroscopy Coupled Multivariate Analysis |
| title_full_unstemmed | Egg Freshness Evaluation Using Transmission and Reflection of NIR Spectroscopy Coupled Multivariate Analysis |
| title_short | Egg Freshness Evaluation Using Transmission and Reflection of NIR Spectroscopy Coupled Multivariate Analysis |
| title_sort | egg freshness evaluation using transmission and reflection of nir spectroscopy coupled multivariate analysis |
| topic | near-infrared spectroscopy non-destructive detection diffuse transmission spectrum acquisition freshness |
| url | https://www.mdpi.com/2304-8158/10/9/2176 |
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