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General model of mu...
General model of multi-quality detection for apple from different origins by Vis/NIR transmittance spectroscopy
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- Wang, Junyi (författare)
- Jiangsu Univ, Sch Food & Biol Engn, Minist Educ, Key Lab Modern Agr Equipment & Technol, Zhenjiang 212013, Jiangsu, Peoples R China.
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- Guo, Zhiming (författare)
- Jiangsu Univ, Sch Food & Biol Engn, Minist Educ, Key Lab Modern Agr Equipment & Technol, Zhenjiang 212013, Jiangsu, Peoples R China.
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- Zou, Caixia (författare)
- Jiangsu Univ, Sch Food & Biol Engn, Minist Educ, Key Lab Modern Agr Equipment & Technol, Zhenjiang 212013, Jiangsu, Peoples R China.
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- Jiang, Shuiquan (författare)
- Jiangsu Kaiyi Intelligent Technol Co Ltd, Natl Profess Res & Dev Ctr Fruit & Vegetable Proc, Wuxi 214174, Jiangsu, Peoples R China.
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- El-Seedi, Hesham R. (författare)
- Uppsala universitet,Farmakognosi
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- Zou, Xiaobo (författare)
- Jiangsu Univ, Sch Food & Biol Engn, Minist Educ, Key Lab Modern Agr Equipment & Technol, Zhenjiang 212013, Jiangsu, Peoples R China.;Jiangsu Univ, Jiangsu Educ Dept, Int Joint Res Lab Intelligent Agr & Agriprod Proc, Zhenjiang 212013, Jiangsu, Peoples R China.
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Jiangsu Univ, Sch Food & Biol Engn, Minist Educ, Key Lab Modern Agr Equipment & Technol, Zhenjiang 212013, Jiangsu, Peoples R China Jiangsu Kaiyi Intelligent Technol Co Ltd, Natl Profess Res & Dev Ctr Fruit & Vegetable Proc, Wuxi 214174, Jiangsu, Peoples R China. (creator_code:org_t)
- 2022-03-28
- 2022
- Engelska.
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Ingår i: JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION. - : Springer Nature. - 2193-4126 .- 2193-4134. ; 16:4, s. 2582-2595
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Visible Near-infrared (Vis/NIR) spectroscopy is widely used to evaluate fruit quality due to its fast and non-destructive advantage, but the diffuse reflectance mode only obtains information of the surface, and the traditional model is difficult to meet multi-origin detection in practical applications. A portable Vis/NIR transmittance prototype was designed and developed to acquire Vis/NIR spectra of apple samples from different origins. Soluble solids content (SSC), firmness, pH and vitamin C (VC) content were determined as the internal quality parameter. The partial least square (PLS) model was established by optimizing the best from different spectral preprocessing and feature selection algorithms. The results showed that the competitive adaptive weighted PLS (CARS-PLS) achieved the best prediction performance, with correlation coefficient of prediction (R-p), and root mean square error of prediction (RMSEP) values of 0.940, 0.542 degrees Brix for SSC, 0.789, 7.018 N for firmness, 0.698, 0.119 for pH, and 0.804, 10.363 mg kg(-1) for VC content, respectively. The general model of CARS-PLS was verified by the independent prediction sets from 7 origins. The establishment of general models expanded the prediction range, improved the prediction stability of models between different cultivars, and reduced the complexity of the models through appropriate preprocessing and feature variable selection methods. The development of the general model of different origins and cultivars for predicting the internal quality of apple has a great potential application using Vis/NIR transmittance spectroscopy.
Ämnesord
- LANTBRUKSVETENSKAPER -- Lantbruksvetenskap, skogsbruk och fiske -- Livsmedelsvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Agriculture, Forestry and Fisheries -- Food Science (hsv//eng)
Nyckelord
- Vis
- NIR transmittance spectroscopy
- Apple
- General model
- Multi-quality
- Origins
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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