基于挥发性有机物变异性的电子鼻鉴别黄龙病多种症状

IF 2.2 3区 农林科学 Q2 AGRICULTURE, MULTIDISCIPLINARY Annals of Applied Biology Pub Date : 2023-05-28 DOI:10.1111/aab.12845
Qian Xu, Junwen Bai, Lixin Ma, Ziqi Li, Bin Tan, Li Sun, Jianrong Cai
{"title":"基于挥发性有机物变异性的电子鼻鉴别黄龙病多种症状","authors":"Qian Xu,&nbsp;Junwen Bai,&nbsp;Lixin Ma,&nbsp;Ziqi Li,&nbsp;Bin Tan,&nbsp;Li Sun,&nbsp;Jianrong Cai","doi":"10.1111/aab.12845","DOIUrl":null,"url":null,"abstract":"<p>Huanglongbing (HLB) is highly contagious and cannot be cured, resulting in a decrease in the commercial value of citrus. Timely detection and removal of diseased trees is an effective way to reduce losses. Complex symptoms of HLB, such as nutrient deficiencies often accompany HLB; as a result effective and accurate identification of HLB remains a challenge. In this study, 175 volatile organic compounds (VOCs) were detected in three categories (healthy, HLB, and Zn-deficiency) of samples using headspace solid-phase microextraction gas chromatography–mass spectrometry (HS-SPME-GC/MS), highlighting the variability of VOCs present in different categories of samples. In order to simplify the testing steps and reduce the cost in practical agricultural production, a method based on electronic nose technology to collect VOCs from citrus leaves for HLB detection was proposed. Among them, limiting value features and linear discriminant analysis were identified as the best combination of feature extraction and pattern recognition methods. Multiple sets of comparison experiments were set up and the collection conditions of VOCs were optimized. The results showed that the best classification performance was achieved for a 0.2 g sample at a collection time of 20 min when the collection temperature was 40°C and the headspace volume was 200 mL. Four types of samples (healthy, HLB-positive, Zn-deficiency, Zn-deficiency and HLB-positive) were used for model reliability validation, with an accuracy of 97.79% for HLB samples for multiple symptoms (including HLB-positive and Zn-deficiency and HLB-positive) identification. In addition, the accuracy of samples with a combined effect of Zn-deficiency and HLB was 96.43%. The results show that the E-nose-based HLB detection method is conducive to suppressing the spread of HLB, which can ensure the quality of citrus products and reduce the economic loss to horticulturists, and has good practical value.</p>","PeriodicalId":7977,"journal":{"name":"Annals of Applied Biology","volume":"183 2","pages":"181-195"},"PeriodicalIF":2.2000,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of multiple symptoms of huanglongbing by electronic nose based on the variability of volatile organic compounds\",\"authors\":\"Qian Xu,&nbsp;Junwen Bai,&nbsp;Lixin Ma,&nbsp;Ziqi Li,&nbsp;Bin Tan,&nbsp;Li Sun,&nbsp;Jianrong Cai\",\"doi\":\"10.1111/aab.12845\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Huanglongbing (HLB) is highly contagious and cannot be cured, resulting in a decrease in the commercial value of citrus. Timely detection and removal of diseased trees is an effective way to reduce losses. Complex symptoms of HLB, such as nutrient deficiencies often accompany HLB; as a result effective and accurate identification of HLB remains a challenge. In this study, 175 volatile organic compounds (VOCs) were detected in three categories (healthy, HLB, and Zn-deficiency) of samples using headspace solid-phase microextraction gas chromatography–mass spectrometry (HS-SPME-GC/MS), highlighting the variability of VOCs present in different categories of samples. In order to simplify the testing steps and reduce the cost in practical agricultural production, a method based on electronic nose technology to collect VOCs from citrus leaves for HLB detection was proposed. Among them, limiting value features and linear discriminant analysis were identified as the best combination of feature extraction and pattern recognition methods. Multiple sets of comparison experiments were set up and the collection conditions of VOCs were optimized. The results showed that the best classification performance was achieved for a 0.2 g sample at a collection time of 20 min when the collection temperature was 40°C and the headspace volume was 200 mL. Four types of samples (healthy, HLB-positive, Zn-deficiency, Zn-deficiency and HLB-positive) were used for model reliability validation, with an accuracy of 97.79% for HLB samples for multiple symptoms (including HLB-positive and Zn-deficiency and HLB-positive) identification. In addition, the accuracy of samples with a combined effect of Zn-deficiency and HLB was 96.43%. The results show that the E-nose-based HLB detection method is conducive to suppressing the spread of HLB, which can ensure the quality of citrus products and reduce the economic loss to horticulturists, and has good practical value.</p>\",\"PeriodicalId\":7977,\"journal\":{\"name\":\"Annals of Applied Biology\",\"volume\":\"183 2\",\"pages\":\"181-195\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Applied Biology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/aab.12845\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Applied Biology","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/aab.12845","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

黄龙病传染性很强,无法治愈,导致柑橘的商业价值下降。及时发现和清除病树是减少损失的有效途径。HLB的复杂症状,如营养缺乏,通常伴随HLB;因此,有效和准确地鉴定HLB仍然是一个挑战。在这项研究中,使用顶空固相微萃取-气相色谱-质谱法(HS-SPME-GC/MS)在三类(健康、HLB和缺锌)样品中检测到175种挥发性有机化合物,突出了不同类别样品中挥发性有机化合物的可变性。为了在实际农业生产中简化检测步骤,降低成本,提出了一种基于电子鼻技术的柑橘叶片挥发性有机物检测方法。其中,极限值特征和线性判别分析被认为是特征提取和模式识别方法的最佳组合。建立了多组对比实验,优化了VOCs的收集条件。结果表明,0.2 g样品,采集时间为20 min,当收集温度为40°C,顶部空间体积为200 mL.四种类型的样本(健康、HLB阳性、锌缺乏、锌缺乏和HLB阳性)用于模型可靠性验证,HLB样本对多种症状(包括HLB阳性和锌缺乏和HLB阳性)鉴定的准确率为97.79%。结果表明,基于电子鼻的HLB检测方法有利于抑制HLB的传播,可以保证柑橘产品的质量,减少园艺师的经济损失,具有良好的实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Identification of multiple symptoms of huanglongbing by electronic nose based on the variability of volatile organic compounds

Huanglongbing (HLB) is highly contagious and cannot be cured, resulting in a decrease in the commercial value of citrus. Timely detection and removal of diseased trees is an effective way to reduce losses. Complex symptoms of HLB, such as nutrient deficiencies often accompany HLB; as a result effective and accurate identification of HLB remains a challenge. In this study, 175 volatile organic compounds (VOCs) were detected in three categories (healthy, HLB, and Zn-deficiency) of samples using headspace solid-phase microextraction gas chromatography–mass spectrometry (HS-SPME-GC/MS), highlighting the variability of VOCs present in different categories of samples. In order to simplify the testing steps and reduce the cost in practical agricultural production, a method based on electronic nose technology to collect VOCs from citrus leaves for HLB detection was proposed. Among them, limiting value features and linear discriminant analysis were identified as the best combination of feature extraction and pattern recognition methods. Multiple sets of comparison experiments were set up and the collection conditions of VOCs were optimized. The results showed that the best classification performance was achieved for a 0.2 g sample at a collection time of 20 min when the collection temperature was 40°C and the headspace volume was 200 mL. Four types of samples (healthy, HLB-positive, Zn-deficiency, Zn-deficiency and HLB-positive) were used for model reliability validation, with an accuracy of 97.79% for HLB samples for multiple symptoms (including HLB-positive and Zn-deficiency and HLB-positive) identification. In addition, the accuracy of samples with a combined effect of Zn-deficiency and HLB was 96.43%. The results show that the E-nose-based HLB detection method is conducive to suppressing the spread of HLB, which can ensure the quality of citrus products and reduce the economic loss to horticulturists, and has good practical value.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Annals of Applied Biology
Annals of Applied Biology 生物-农业综合
CiteScore
5.50
自引率
0.00%
发文量
71
审稿时长
18-36 weeks
期刊介绍: Annals of Applied Biology is an international journal sponsored by the Association of Applied Biologists. The journal publishes original research papers on all aspects of applied research on crop production, crop protection and the cropping ecosystem. The journal is published both online and in six printed issues per year. Annals papers must contribute substantially to the advancement of knowledge and may, among others, encompass the scientific disciplines of: Agronomy Agrometeorology Agrienvironmental sciences Applied genomics Applied metabolomics Applied proteomics Biodiversity Biological control Climate change Crop ecology Entomology Genetic manipulation Molecular biology Mycology Nematology Pests Plant pathology Plant breeding & genetics Plant physiology Post harvest biology Soil science Statistics Virology Weed biology Annals also welcomes reviews of interest in these subject areas. Reviews should be critical surveys of the field and offer new insights. All papers are subject to peer review. Papers must usually contribute substantially to the advancement of knowledge in applied biology but short papers discussing techniques or substantiated results, and reviews of current knowledge of interest to applied biologists will be considered for publication. Papers or reviews must not be offered to any other journal for prior or simultaneous publication and normally average seven printed pages.
期刊最新文献
Issue Information Consensus QTL map deciphered genes and pathways regulating tolerance to post-flowering diseases in maize The effects of humic substances application on the phytohormone profile in Lactuca sativa L. Phenological growth stages of Amaranthus palmeri according to the extended BBCH scale Cover Image
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1