Literature DB >> 24996367

Measurement of total anthocyanins content in flowering tea using near infrared spectroscopy combined with ant colony optimization models.

Huang Xiaowei1, Zou Xiaobo2, Zhao Jiewen1, Shi Jiyong1, Zhang Xiaolei1, Mel Holmes3.   

Abstract

Flowering tea has become a popular beverage consumed across the world. Anthocyanins content is considered as an important quality index of flowering tea. The feasibility of using near infrared (NIR) spectra at the wavelength range of 10,000-4000 cm(-1) for rapid and nondestructive determination of total anthocyanins content in flowering tea was investigated. Ant colony optimization interval partial least squares (ACO-iPLS) and Genetic algorithm interval partial least squares (GA-iPLS) were used to develop calibration models for total anthocyanins content. Two characteristic wavelength regions (4590-4783, 5770-5,963 cm(-1)), which corresponding to the ultraviolet/visible absorption bands of anthocyanins, were selected by ACO-iPLS. The optimal ACO-iPLS model for total anthocyanins content (R=0.9856, RMSECV=0.1,198 mg/g) had better performance than full-spectrum PLS, iPLS, and GA-iPLS models. It could be concluded that NIR spectroscopy has significant potential in the nondestructive determination of total anthocyanins content in flowering tea.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ant colony optimization; Anthocyanins; Flowering tea; Genetic algorithm; Interval partial least squares

Mesh:

Substances:

Year:  2014        PMID: 24996367     DOI: 10.1016/j.foodchem.2014.05.072

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  4 in total

1.  Analysis of Conformational, Structural, Magnetic, and Electronic Properties Related to Antioxidant Activity: Revisiting Flavan, Anthocyanidin, Flavanone, Flavonol, Isoflavone, Flavone, and Flavan-3-ol.

Authors:  Sergio Antônio de Souza Farias; Kauê Santana da Costa; João B L Martins
Journal:  ACS Omega       Date:  2021-03-24

Review 2.  Application of bio-inspired optimization algorithms in food processing.

Authors:  Tanmay Sarkar; Molla Salauddin; Alok Mukherjee; Mohammad Ali Shariati; Maksim Rebezov; Lyudmila Tretyak; Mirian Pateiro; José M Lorenzo
Journal:  Curr Res Food Sci       Date:  2022-02-16

Review 3.  A Narrative Review of Recent Advances in Rapid Assessment of Anthocyanins in Agricultural and Food Products.

Authors:  Muhammad Faisal Manzoor; Abid Hussain; Nenad Naumovski; Muhammad Modassar Ali Nawaz Ranjha; Nazir Ahmad; Emad Karrar; Bin Xu; Salam A Ibrahim
Journal:  Front Nutr       Date:  2022-07-19

4.  Machine-learning-based quantitative estimation of soil organic carbon content by VIS/NIR spectroscopy.

Authors:  Jianli Ding; Aixia Yang; Jingzhe Wang; Vasit Sagan; Danlin Yu
Journal:  PeerJ       Date:  2018-10-17       Impact factor: 2.984

  4 in total

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