Quality prediction of freshly-harvested wheat using GlutoPeak during postharvest maturation

Much recent researches have demonstrated that the quality of freshly-harvested wheat could be improved during postharvest maturation by determinating the rheological properties. However, this process is time-consuming and complex. This study aimed to provide a rapid and convenient method for predict...

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Main Authors: Mengyu Mu, Ruidie Geng, Yuanyuan Yue, Feng Jia, Xia Zhang, Jinshui Wang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2021-12-01
Series:Grain & Oil Science and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590259821000261
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author Mengyu Mu
Ruidie Geng
Yuanyuan Yue
Feng Jia
Xia Zhang
Jinshui Wang
author_facet Mengyu Mu
Ruidie Geng
Yuanyuan Yue
Feng Jia
Xia Zhang
Jinshui Wang
author_sort Mengyu Mu
collection DOAJ
description Much recent researches have demonstrated that the quality of freshly-harvested wheat could be improved during postharvest maturation by determinating the rheological properties. However, this process is time-consuming and complex. This study aimed to provide a rapid and convenient method for predicting wheat quality during postharvest maturation by use of GlutoPeak device. Farinograph and Extensograph were used to determine the rheological properties of four wheat samples (WT1, WT2, WT3, WT4) stored under different conditions (WT1: 15 °C, 50% RH; WT2: 20 °C 65% RH; WT3: 28 °C 75% RH; WT4: 35 °C 85% RH) for a total of 10 weeks, and GlutoPeak test was used to determine the gluten aggregation properties of the four samples. Correlation analysis was also conducted between the rheological properties and the gluten aggregation properties. Results of rheological properties showed that all Extensographic properties (dough extensibility, resistance, maximum resistance and area) of the four samples increased along with the storage time, and the Farinographic properties (water absorption, dough development time, dough stability time, and farinograph quality number (FQN)) had the same tendency, indicating that the rheological properties were improved considerably with storage time extending. The GlutoPeak curves revealed that Peak Maximum Time (PMT), Brabender Equivalents Maximum (BEM) and Energy to Maximum Torque (EnMT) of wheat flour of the four samples varied greatly, particularly the PMT and EnMT of the samples WT3 and WT4 increased remarkably. Results of correlation analysis showed that EnMT had significant correlation with water absorption and area (P < 0.05) for sample WT1, and also showed significant correlation with dough development time (P < 0.05) for sample WT2. For sample WT3, PMT was significantly correlated with the dough development time, extensibility, area (P < 0.05), and FQN (P < 0.01); and EnMT was in significant correction with water absorption (P < 0.01), and dough stability time, FQN, extensibility, maximum resistance and area (P < 0.05). For sample WT4, both PMT and EnMT had significant correction with area (P < 0.05). The study indicated that the GlutoPeak test is effective in quality prediction for the freshly-harvested wheat during postharvest maturation, making it possible to realize rapid wheat quality detection and evaluation in storage period.
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spelling doaj.art-cebd5b6529504826b6b256826a4420ff2022-12-21T18:45:53ZengKeAi Communications Co., Ltd.Grain & Oil Science and Technology2590-25982021-12-0144174181Quality prediction of freshly-harvested wheat using GlutoPeak during postharvest maturationMengyu Mu0Ruidie Geng1Yuanyuan Yue2Feng Jia3Xia Zhang4Jinshui Wang5College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Biological Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Biological Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Biological Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCollege of Biological Engineering, Henan University of Technology, Zhengzhou 450001, ChinaCorresponding author.; College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, ChinaMuch recent researches have demonstrated that the quality of freshly-harvested wheat could be improved during postharvest maturation by determinating the rheological properties. However, this process is time-consuming and complex. This study aimed to provide a rapid and convenient method for predicting wheat quality during postharvest maturation by use of GlutoPeak device. Farinograph and Extensograph were used to determine the rheological properties of four wheat samples (WT1, WT2, WT3, WT4) stored under different conditions (WT1: 15 °C, 50% RH; WT2: 20 °C 65% RH; WT3: 28 °C 75% RH; WT4: 35 °C 85% RH) for a total of 10 weeks, and GlutoPeak test was used to determine the gluten aggregation properties of the four samples. Correlation analysis was also conducted between the rheological properties and the gluten aggregation properties. Results of rheological properties showed that all Extensographic properties (dough extensibility, resistance, maximum resistance and area) of the four samples increased along with the storage time, and the Farinographic properties (water absorption, dough development time, dough stability time, and farinograph quality number (FQN)) had the same tendency, indicating that the rheological properties were improved considerably with storage time extending. The GlutoPeak curves revealed that Peak Maximum Time (PMT), Brabender Equivalents Maximum (BEM) and Energy to Maximum Torque (EnMT) of wheat flour of the four samples varied greatly, particularly the PMT and EnMT of the samples WT3 and WT4 increased remarkably. Results of correlation analysis showed that EnMT had significant correlation with water absorption and area (P < 0.05) for sample WT1, and also showed significant correlation with dough development time (P < 0.05) for sample WT2. For sample WT3, PMT was significantly correlated with the dough development time, extensibility, area (P < 0.05), and FQN (P < 0.01); and EnMT was in significant correction with water absorption (P < 0.01), and dough stability time, FQN, extensibility, maximum resistance and area (P < 0.05). For sample WT4, both PMT and EnMT had significant correction with area (P < 0.05). The study indicated that the GlutoPeak test is effective in quality prediction for the freshly-harvested wheat during postharvest maturation, making it possible to realize rapid wheat quality detection and evaluation in storage period.http://www.sciencedirect.com/science/article/pii/S2590259821000261WheatPostharvest maturationRheological propertiesGluten aggregation propertiesGlutopeak testQuality prediction
spellingShingle Mengyu Mu
Ruidie Geng
Yuanyuan Yue
Feng Jia
Xia Zhang
Jinshui Wang
Quality prediction of freshly-harvested wheat using GlutoPeak during postharvest maturation
Grain & Oil Science and Technology
Wheat
Postharvest maturation
Rheological properties
Gluten aggregation properties
Glutopeak test
Quality prediction
title Quality prediction of freshly-harvested wheat using GlutoPeak during postharvest maturation
title_full Quality prediction of freshly-harvested wheat using GlutoPeak during postharvest maturation
title_fullStr Quality prediction of freshly-harvested wheat using GlutoPeak during postharvest maturation
title_full_unstemmed Quality prediction of freshly-harvested wheat using GlutoPeak during postharvest maturation
title_short Quality prediction of freshly-harvested wheat using GlutoPeak during postharvest maturation
title_sort quality prediction of freshly harvested wheat using glutopeak during postharvest maturation
topic Wheat
Postharvest maturation
Rheological properties
Gluten aggregation properties
Glutopeak test
Quality prediction
url http://www.sciencedirect.com/science/article/pii/S2590259821000261
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