数字农科院2.0

Aroma Analysis of Table Grape Berries Based on Electronic Nose Detection

文献类型: 外文期刊

作者: Shengyang Niu;Xuewei Liu;Meiling Lin;Xiucai Fan;Ying Zhang;Lei Sun;Chonghuai Liu;Jianfu Jiang

作者机构:

关键词: aroma;electronic nose;germplasm resources;table grape

期刊名称: Agronomy

ISSN: 2073-4395

年卷期: 2025 年 15 卷 1 期

页码:

收录情况: SCIE(2025版)

摘要: In this study, the aroma of 182 table grapes was detected using a PEN3.5 electronic nose in order to explore the aroma components of table grape berries and provide a reference for aroma evaluation and quality improvements. Table grape varieties from the Zhengzhou Fruit Research Institute of the Chinese Academy of Agricultural Sciences were used as research materials. All of them were harvested in fruit trees over 10 years old from August to October 2023, which provided a reference for aroma evaluation and quality improvement of the table grapes. Radar analysis, correlation analysis, principal component (PCA) analysis, cluster analysis, and difference analysis were used to study these aroma substances. The results show that the sensor contribution rate from high to low is W5S (nitrogen oxides), W2S (alcohols and some aromatic compounds), W1S (alkanes), and W2W (sensor contribution rate from high to low). Cluster analysis can distinguish the varieties of table grapes a with common aroma content, and the varieties with a higher content are in the second category (II). PCA showed that the contribution rate of the first and second principal components of the three main sensors was 97.6% and 2.3%, respectively, and the total contribution value was 99.9%. The contribution rates of the first and second principal components of the three aromatic sensors are 79.5% and 15.9%, respectively, and the total contribution value is 95.4%. The results showed that there were significant differences in the content and composition of aroma substances in different grape varieties. Eight special germplasm with strong aroma (organic compounds of nitrogen oxides, alcohols, alkanes and sulfur) were selected: ‘Spabang’, ‘Neijingxiang’, ‘Zaotian Muscat’, ‘Jinmeigui’, ‘Zhengguo 6’, ‘Muscat Angel’, ‘Zizao’, and ‘Qiumi’. This study confirmed that electronic nose technology can effectively distinguish different varieties of table grapes. This study not only provides a scientific basis for the variety selection for the table grape processing industry, but it can also be used for male or female grape hybridization, which provides valuable data resources for table grape breeding.

分类号:

  • 相关文献

[1]Aroma profiling analysis of grape berries based on electronic nose detection. Xuewei Liu,Chonghuai Liu,Xiucai Fan,Ying Zhang,Lei Sun,Meiling Lin,Jingyang Wang,Shengyang Niu,Jianfu Jiang. 2024

[2]Insights into flavor formation of braised chicken: Based on E-nose, GC–MS, GC-IMS, and UPLC-Q-Exactive-MS/MS. Xiangxiang Sun,Yumei Yu,Zhenyu Wang,Kumayl Hassan Akhtar,Ahmed S.M. Saleh,Wenhao Li,Dequan Zhang. 2024

[3]Microarray analysis of differentially expressed genes engaged in fruit development between table and wine grape. Kayesh, Emrul,Han, Jian,Wang, Chen,Song, Changnian,Fang, Jinggui,Wang, Xicheng,Liu, Chonghuai,Ge, Anjing.

[4]Bagging Technology Reduces Pesticide Residues in Table Grapes. Wan, Yizhen,Hou, Qi-Rui,Wen, Yan,Wang, Lei,Lu, Quanyou,Wan, Yizhen,Hou, Qi-Rui,Wen, Yan,Wang, Lei,Lu, Quanyou.

[5]Genetic variability and relationships between and within grape cultivated varieties and wild species based on SRAP markers. Guo, Dalong,Zhang, Junyu,Zhang, Guohai,Li, Meng,Zhang, Qian,Liu, Chonghuai. 2012

[6]'Zhengmei': A new early-ripening table grape. Fan, Xiu-Cai,Li, Min,Zhang, Ying,Jiang, Jian-Fu,Sun, Hai-Sheng,Liu, Chong-Huai.

[7]'Brilliant Seedless': A New Medium-Ripening S.eedless Table Grape. Sun, HS, Fan, XC, Li, M, Zhang, Y, Jiang, JF, Liu, CH. 2017

[8]Association Between Ssr Markers And F.ibre Traits In Sea I sland Cotton (Gossypium Barbadense) Germplasm Resources. Ma, Qi,Si, Aijun,Ma, Qi,Zhao, Jing,Lin, Hai,Liu, Ping,Li, Jilian,Ning, Xinzhu,Deng, Fujun. 2017

[9]Current Situation and Potential of Wild Actinidia arguta Resources in Northeastern China. Liu, Y. H.,Liu, C. J..

[10]The Types and Application of Molecular Markers in the Study of Pomegranate Germplasm Resources. Li Haoxian,Cao Shang-yin,Niu Juan,Yuan Pinli,Zhao Diguang,Zhang Fuhong.

[11]Genetic diversity and population structure analysis of upland cotton (Gossypium hirsutum L.) germplasm in China based on SSR markers. Shi, Jianbin,Zhang, Yibin,Wang, Ning,Xu, Qinghua,Huo, Feichao,Liu, Xiaohong,Yan, Gentu. 2023

[12]Recent Progress on Rice Genetics in China. Hua Jiang , Long-Biao Guo , Qian Qian *. 2007

[13]Pathogens identification and resistance evaluation on bacterial canker in Actinidia arguta germplasm. Qin, Hong Y.,Zhao, Ying,Chen, Xiu L.,Zhang, Bao X.,Wen, Xin,Li, Chang Y.,Fan, Shu T.,Wang, Yue,Yang, Yi M.,Xu, Pei L.,Liu, Ying X.,Ai, Jun. 2023

[14]Rich variant phenotype of Gossypium hirsutum L. saturated mutant library provides resources for cotton functional genomics and breeding. Yunxiao Wei,Yongming Liu,Abid Muhammad Ali,Rong Xiao,Chengzhen Liang,Zhigang Meng,Yuan Wang,Peilin Wang,Xingfen Wang,Rui Zhang. 2022

[15]Wild rice: unlocking the future of rice breeding. Zheng, Xiaoming,Peng, Youlin,Qiao, Jiyue,Henry, Robert,Qian, Qian. 2024

[16]Whole-genome resequencing reveals genetic differentiation in cigar tobacco population. Xun Jiang,Jun Wang,Yanqing Qin,Yuan Li,Yan Ji,Aiguo Yang,Liping Chen,Peigang Dai,Xingwei Zhang,Guoxiang Liu. 2024

[17]Evaluation of Genetic Diversity and Agronomic Traits of Germplasm Resources of Stropharia rugosoannulata. Miao Gu,Qiang Chen,Yan Zhang,Yongchang Zhao,Li Wang,Xiangli Wu,Mengran Zhao,Wei Gao. 2024

[18]Genetic Diversity Analysis of Capsicum frutescens Based on Simplified Genome Sequencing Technology. Lidong Wu,Yinhui Qiu,Shuting Lin,Rui Zhang,Lihao Wang,Yongqing Li,Yacong Cao. 2024

[19]Analysis of the differences in volatile compound content and flavor composition characterization of Schisandra chinensis fruits from different regions. Yiping Yan,Pengqiang Yuan,Jingmeng Zhu,Yanli Wang,Yining Sun,Taiping Tian,Guoliang Liu,Yiming Yang,Shutian Fan,Changyu Li,Bowei Sun,Wenpeng Lu,Peilei Xu. 2025

[20]Genetic Loci Mining and Candidate Gene Analysis for Determining Fatty Acid Composition in Rice. Yiyun Ge,Yiting Wei,Xuan Li,Zhenan Zhu,Jinjin Lian,Huimin Yang,Tiantian Lu,Sanfeng Li,Jiahui Huang,Yuhan Ye,Yuexing Wang,Yuchun Rao. 2025

作者其他论文 更多>>