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Simultaneous quanti...
Simultaneous quantification of active constituents and antioxidant capability of green tea using NIR spectroscopy coupled with swarm intelligence algorithm
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- Guo, Zhiming (author)
- Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China.
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- Barimah, Alberta Osei (author)
- Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China.
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- Shujat, Ali (author)
- Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China.
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- Zhang, Zhengzhu (author)
- Anhui Agr Univ, State Key Lab Tea Plant Biol & Utilizat, Hefei 230036, Peoples R China.
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Ouyang, Qin (author)
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- Shi, Jiyong (author)
- Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China.
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- El-Seedi, Hesham (author)
- Uppsala universitet,Farmakognosi,Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China.
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- Zou, Xiaobo (author)
- Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China.
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- Chen, Quansheng (author)
- Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China.
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Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Jiangsu, Peoples R China Anhui Agr Univ, State Key Lab Tea Plant Biol & Utilizat, Hefei 230036, Peoples R China. (creator_code:org_t)
- ELSEVIER, 2020
- 2020
- English.
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In: Lebensmittel-Wissenschaft + Technologie. - : ELSEVIER. - 0023-6438 .- 1096-1127. ; 129
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- A simple, rapid and low-cost analytical method was employed for simultaneous determination of bioactive constituents and antioxidant capability of green tea. The strategy was based on swarm intelligence algorithms with partial least squares (PLS) such as simulated annealing PLS (SA-PLS), ant colony optimization PLS (ACO-PLS), genetic algorithm PLS (GA-PLS), and synergy interval PLS (Si-PLS) coupled with Near-infrared (NIR) spectroscopy. These algorithms were independently applied to select informative spectral variables and improve the prediction of green tea components. Results showed that NIR combined with SA-PLS and Si-PLS had a strong correlation coefficient with the wet-chemical methods for predicting epigallocatechin gallate (R-p(2) = 0.97); epigallocatechin (R-p(2) = 0.97); epicatechin gallate (R-p(2) = 0.96); epicatechin (R-p(2) = 0.91); catechin (R-p(2) = 0.98); caffeine (R-p(2) = 0.96); theanine (R-p(2) = 0.93); and antioxidant capability (R-p(2) = 0.80) in green tea. Our results revealed the potential utilization of NIR spectroscopy coupled with SA-PLS and Si-PLS algorithms as an effective and robust technique to simultaneously predict active constituents and antioxidant capability of green tea.
Subject headings
- LANTBRUKSVETENSKAPER -- Lantbruksvetenskap, skogsbruk och fiske -- Livsmedelsvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Agriculture, Forestry and Fisheries -- Food Science (hsv//eng)
Keyword
- Camellia sinensis
- Catechins
- Synergy interval partial least squares
- Simulated annealing
- Ant colony optimization
Publication and Content Type
- ref (subject category)
- art (subject category)
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