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Nondestructive Determination of Diastase Activity of Honey Based on Visible and Near-Infrared Spectroscopy
The activities of enzymes are the basis of evaluating the quality of honey. Beekeepers usually use concentrators to process natural honey into concentrated honey by concentrating it under high temperatures. Active enzymes are very sensitive to high temperatures and will lose their activity when they...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480106/ https://www.ncbi.nlm.nih.gov/pubmed/30934979 http://dx.doi.org/10.3390/molecules24071244 |
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author | Huang, Zhenxiong Liu, Lang Li, Guojian Li, Hong Ye, Dapeng Li, Xiaoli |
author_facet | Huang, Zhenxiong Liu, Lang Li, Guojian Li, Hong Ye, Dapeng Li, Xiaoli |
author_sort | Huang, Zhenxiong |
collection | PubMed |
description | The activities of enzymes are the basis of evaluating the quality of honey. Beekeepers usually use concentrators to process natural honey into concentrated honey by concentrating it under high temperatures. Active enzymes are very sensitive to high temperatures and will lose their activity when they exceed a certain temperature. The objective of this work is to study the kinetic mechanism of the temperature effect on diastase activity and to develop a nondestructive approach for quick determination of the diastase activity of honey through a heating process based on visible and near-infrared (Vis/NIR) spectroscopy. A total of 110 samples, including three species of botanical origin, were used for this study. To explore the kinetic mechanism of diastase activity under high temperatures, the honey of three kinds of botanical origins were processed with thermal treatment to obtain a variety of diastase activity. Diastase activity represented with diastase number (DN) was measured according to the national standard method. The results showed that the diastase activity decreased with the increase of temperature and heating time, and the sensitivity of acacia and longan to temperature was higher than linen. The optimum temperature for production and processing is 60 °C. Unsupervised clustering analysis was adopted to detect spectral characteristics of these honeys, indicating that different botanical origins of honeys can be distinguished in principal component spaces. Partial least squares (PLS) and least squares-support vector machine (LS-SVM) algorithms were applied to develop quantitative relationships between Vis/NIR spectroscopy and diastase activity. The best result was obtained through Gaussian filter smoothing-standard normal variate (GF-SNV) pretreatment and the LS-SVM model, known as GF-SNV-LS-SVM, with a determination coefficient (R(2)) of prediction of 0.8872, and root mean square error (RMSE) of prediction of 0.2129. The overall results of this paper showed that the diastase activity of honey can be determined quickly and non-destructively with Vis/NIR spectral methods, which can be used to detect DN in the process of honey production and processing, and to maximize the nutrient content of honey. |
format | Online Article Text |
id | pubmed-6480106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64801062019-04-30 Nondestructive Determination of Diastase Activity of Honey Based on Visible and Near-Infrared Spectroscopy Huang, Zhenxiong Liu, Lang Li, Guojian Li, Hong Ye, Dapeng Li, Xiaoli Molecules Article The activities of enzymes are the basis of evaluating the quality of honey. Beekeepers usually use concentrators to process natural honey into concentrated honey by concentrating it under high temperatures. Active enzymes are very sensitive to high temperatures and will lose their activity when they exceed a certain temperature. The objective of this work is to study the kinetic mechanism of the temperature effect on diastase activity and to develop a nondestructive approach for quick determination of the diastase activity of honey through a heating process based on visible and near-infrared (Vis/NIR) spectroscopy. A total of 110 samples, including three species of botanical origin, were used for this study. To explore the kinetic mechanism of diastase activity under high temperatures, the honey of three kinds of botanical origins were processed with thermal treatment to obtain a variety of diastase activity. Diastase activity represented with diastase number (DN) was measured according to the national standard method. The results showed that the diastase activity decreased with the increase of temperature and heating time, and the sensitivity of acacia and longan to temperature was higher than linen. The optimum temperature for production and processing is 60 °C. Unsupervised clustering analysis was adopted to detect spectral characteristics of these honeys, indicating that different botanical origins of honeys can be distinguished in principal component spaces. Partial least squares (PLS) and least squares-support vector machine (LS-SVM) algorithms were applied to develop quantitative relationships between Vis/NIR spectroscopy and diastase activity. The best result was obtained through Gaussian filter smoothing-standard normal variate (GF-SNV) pretreatment and the LS-SVM model, known as GF-SNV-LS-SVM, with a determination coefficient (R(2)) of prediction of 0.8872, and root mean square error (RMSE) of prediction of 0.2129. The overall results of this paper showed that the diastase activity of honey can be determined quickly and non-destructively with Vis/NIR spectral methods, which can be used to detect DN in the process of honey production and processing, and to maximize the nutrient content of honey. MDPI 2019-03-29 /pmc/articles/PMC6480106/ /pubmed/30934979 http://dx.doi.org/10.3390/molecules24071244 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Huang, Zhenxiong Liu, Lang Li, Guojian Li, Hong Ye, Dapeng Li, Xiaoli Nondestructive Determination of Diastase Activity of Honey Based on Visible and Near-Infrared Spectroscopy |
title | Nondestructive Determination of Diastase Activity of Honey Based on Visible and Near-Infrared Spectroscopy |
title_full | Nondestructive Determination of Diastase Activity of Honey Based on Visible and Near-Infrared Spectroscopy |
title_fullStr | Nondestructive Determination of Diastase Activity of Honey Based on Visible and Near-Infrared Spectroscopy |
title_full_unstemmed | Nondestructive Determination of Diastase Activity of Honey Based on Visible and Near-Infrared Spectroscopy |
title_short | Nondestructive Determination of Diastase Activity of Honey Based on Visible and Near-Infrared Spectroscopy |
title_sort | nondestructive determination of diastase activity of honey based on visible and near-infrared spectroscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480106/ https://www.ncbi.nlm.nih.gov/pubmed/30934979 http://dx.doi.org/10.3390/molecules24071244 |
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