Volatile apocarotenoid discovery and quantification in Arabidopsis thaliana: optimized sensitive analysis via HS-SPME-GC/MS

被引:11
|
作者
Rivers, John Y. [1 ]
Truong, Thy T. [2 ]
Pogson, Barry J. [1 ]
McQuinn, Ryan P. [1 ]
机构
[1] Australian Natl Univ, Res Sch Biol, Australian Res Council, Ctr Excellence Plant Energy Biol, Canberra, ACT, Australia
[2] Australian Natl Univ, Res Sch Chem, Joint Mass Spectrometry Facil, Canberra, ACT, Australia
基金
澳大利亚研究理事会;
关键词
Arabidopsis thaliana; Apocarotenoid; SPME; Volatiles; GC; MS; CAROTENOID OXIDATION-PRODUCTS; SOLID-PHASE MICROEXTRACTION; CHEMICAL-COMPOSITION; STRESS SIGNALS; BETA-CAROTENE; ESSENTIAL OIL; TOMATO; EXPRESSION; BIOSYNTHESIS; DIOXYGENASES;
D O I
10.1007/s11306-019-1529-y
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
IntroductionIn the field of carotenoid metabolism researchers' focus has been directed recently toward the discovery and quantification of carotenoid cleavage products (i.e. apocarotenoids, excluding the well-studied carotenoid-derived hormones abscisic acid and strigolactones), due to their emerging roles as putative signaling molecules. Gas chromatography mass spectrometry (GC/MS) and sample preparation via headspace solid phase micro-extraction (HS-SPME) are widely used analytical techniques for broad untargeted metabolomics studies and until now, no optimized quantitative targeted HS-SPME-GC/MS method has been developed specifically for volatile apocarotenoids (VAs) in planta.ObjectivesOptimization and subsequent validation of the HS-SPME technique for extracting and quantifying volatile apocarotenoids in planta.MethodsFactors considered during method optimization were HS-SPME parameters; vial storage conditions; different adsorbent SPME fibre coating chemistries; plant tissue matrix effects; and fresh tissues to be analyzed.ResultsMean linear regression in planta calibration correlation coefficients (R-2) for VAs was 0.974. The resultant method mean limits of detection (LOD) and lower limits of quantification (LLOQ) for VAs using in planta standard additions were 0.3840.139 and 0.640 +/- 0.231 mu g/L, respectively. VAs remained stable at elevated SPME incubation temperatures, with no observable effects of thermal and photo-stereoisomerisation and oxidation. The bipolar 50/30 mu m divinylbenzene/carboxen on polydimethylsiloxane (PDMS/DVB/CAR) was identified as the optimal fibre for broad molecular weight range VA analysis.Conclusions p id=Par5 An optimized HS-SPME-GC/MS method for VA detection and quantification was validated in vitro and in planta: based on biological replicates and stringent QA/QC approaches, thereby providing robust detection and quantification of VAs across a broad range of Arabidopsis tissues, fifteen of which were identified for the first time in Arabidopsis.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Analysis of volatile compound change in tuna oil during storage using a laser irradiation based HS-SPME-GC/MS
    Zhang, Mengna
    Li, Linqiu
    Song, Gongshuai
    Wang, Honghai
    Wang, Haixing
    Shen, Qing
    LWT-FOOD SCIENCE AND TECHNOLOGY, 2020, 120 (120)
  • [22] HS-SPME-GC/MS analysis of the volatile compounds of Achillea collina: Evaluation of the emissions fingerprint induced by Myzus persicae infestation
    Annamaria Giorgi
    Sara Panseri
    Niranjala Nanayakkarawasam Masachchige Chandrika Nanayakkara
    Luca Maria Chiesa
    Journal of Plant Biology, 2012, 55 : 251 - 260
  • [23] Optimization of the HS-SPME-GC/MS technique for the analysis of volatile compounds in caprine Coalho cheese using response surface methodology
    Alves Bezerra, Taliana Kenia
    Ribeiro Araujo, Ana Rita
    de Oliveira Arcanjo, Narciza Maria
    Honorato da Silva, Flavio Luis
    Ramos do Egypto Queiroga, Rita de Cassia
    Madruga, Marta Suely
    FOOD SCIENCE AND TECHNOLOGY, 2016, 36 (01): : 103 - 110
  • [24] Analysis of Important Volatile Organic Compounds and Genes Produced by Aroma of Pepper Fruit by HS-SPME-GC/MS and RNA Sequencing
    Qiu, Yinhui
    Li, Yongqing
    Wu, Lidong
    Wei, Hang
    Fu, Jianwei
    Chen, Weiting
    Lin, Shuting
    Yang, Sheng
    Zhang, Rui
    Shang, Wei
    Liao, Chengshu
    Zeng, Shaogui
    Luo, Ying
    Cai, Weiwei
    PLANTS-BASEL, 2023, 12 (12):
  • [25] HS-SPME-GC/MS analysis of the volatile compounds of Achillea collina: Evaluation of the emissions fingerprint induced by Myzus persicae infestation
    Giorgi, Annamaria
    Panseri, Sara
    Nanayakkara, Niranjala Nanayakkarawasam Masachchige Chandrika
    Chiesa, Luca Maria
    JOURNAL OF PLANT BIOLOGY, 2012, 55 (03) : 251 - 260
  • [26] Characterization of volatile organic compounds in walnut oil with various oxidation levels using olfactory analysis and HS-SPME-GC/MS
    Sun, Lina
    Wang, Guowang
    Xiong, Lijian
    Yang, Zhongqiang
    Ma, Yan
    Qi, Yanlong
    Li, Yongyu
    CURRENT RESEARCH IN FOOD SCIENCE, 2024, 9
  • [27] Differentiation of the volatile profiles of Chinese bayberry cultivars during storage by HS-SPME-GC/MS combined with principal component analysis
    Cheng, Huan
    Chen, Jianle
    Li, Xin
    Pan, Junxian
    Xue, Sophia Jun
    Liu, Donghong
    Yea, Xingqian
    POSTHARVEST BIOLOGY AND TECHNOLOGY, 2015, 100 : 59 - 72
  • [28] Profiles of volatile sulfur compounds in various vegetables consumed in Korea using HS-SPME-GC/MS technique
    Park, Samuel
    Kim, Heon-Woong
    Lee, Chang Joo
    Kim, Younghwa
    Sung, Jeehye
    FRONTIERS IN NUTRITION, 2024, 11
  • [29] Characterization of Volatile Compounds of Dry-Cured Meat Products Using HS-SPME-GC/MS Technique
    Rubén Domínguez
    Laura Purriños
    Cristina Pérez-Santaescolástica
    Mirian Pateiro
    Francisco J. Barba
    Igor Tomasevic
    Paulo Cesar Bastianello Campagnol
    José M. Lorenzo
    Food Analytical Methods, 2019, 12 : 1263 - 1284
  • [30] Characterization of the volatile profile of feijoa (Acca sellowiana) fruit at different ripening stages by HS-SPME-GC/MS
    Song, Xinyue
    Dai, Fen
    Yao, Jiarong
    Li, Zhen
    Huang, Zhongping
    Liu, Huijun
    Zhu, Zuoyi
    LWT-FOOD SCIENCE AND TECHNOLOGY, 2023, 184