$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

[국내논문] Improved annotation and quantification of metabolites in rice (Oryza sativa L.) seeds using two-dimensional gas chromatography-time-of-flight mass spectrometry 원문보기

Applied Biological Chemistry = 한국응용생명화학회지, v.64 no.1, 2021년, pp.65 -   

Baek, Seung-A. ,  Kim, So Yeon ,  Park, Young Jin ,  Kim, Tae Jin ,  Lim, Sun-Hyung ,  Park, Sang Un ,  Kim, Jae Kwang

Abstract AI-Helper 아이콘AI-Helper

AbstractTwo-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC × GC-TOFMS) is a powerful tool for identification of compounds in complex samples. Herein, we compared the GC × GC-TOFMS and GC-TOFMS systems for polar metabolite profiling of rice seeds. Forty-sev...

참고문헌 (33)

  1. J Cereal Sci JK Kim 57 14 2013 10.1016/j.jcs.2012.09.012 Kim JK, Park SY, Lim SH, Yeo Y, Cho HS, Ha SH (2013) Comparative metabolic profiling of pigmented rice (Oryza sativa L.) cultivars reveals primary metabolites are correlated with secondary metabolites. J Cereal Sci 57:14-20. https://doi.org/10.1016/j.jcs.2012.09.012 

  2. J Agric Food Chem SY Park 61 6999 2013 10.1021/jf401330e Park SY, Lim SH, Ha SH, Yeo Y, Park WT, Kwon DY, Park SU, Kim JK (2013) Metabolite profiling approach reveals the interface of primary and secondary metabolism in colored cauliflowers (Brassica oleracea L. ssp. botrytis). J Agric Food Chem 61:6999-7007. https://doi.org/10.1021/jf401330e 

  3. Biology CH Park 8 63 2019 10.3390/biology8030063 Park CH, Yeo HJ, Park YE, Baek SA, Kim JK, Park SU (2019) Transcriptome analysis and metabolic profiling of Lycoris radiata. Biology 8:63. https://doi.org/10.3390/biology8030063 

  4. Molecules Y Park 24 258 2019 10.3390/molecules24020258 Park Y, Baek SA, Choi Y, Kim JK, Park SU (2019) Metabolic profiling of nine Mentha species and prediction of their antioxidant properties using chemometrics. Molecules 24:258. https://doi.org/10.3390/molecules24020258 

  5. Trac-Trend Anal Chem DH Bahaghigha 113 379 2019 10.1016/j.trac.2018.04.016 Bahaghigha DH, Freye CE, Synovec RE (2019) Recent advances in modulator technology for comprehensive two dimensional gas chromatography. Trac-Trend Anal Chem 113:379-391. https://doi.org/10.1016/j.trac.2018.04.016 

  6. J Proteome Res JH Winnike 14 1810 2015 10.1021/pr5011923 Winnike JH, Wei X, Knagge KJ, Colman SD, Gregory SG, Zhang X (2015) Comparison of GC-MS and GC × GC-MS in the analysis of human serum samples for biomarker discovery. J Proteome Res 14:1810-1817. https://doi.org/10.1021/pr5011923 

  7. Anal Bioanal Chem MF Almstetter 402 1993 2012 10.1007/s00216-011-5630-y Almstetter MF, Oefner PJ, Dettmer K (2012) Comprehensive two-dimensional gas chromatography in metabolomics. Anal Bioanal Chem 402:1993-2013. https://doi.org/10.1007/s00216-011-5630-y 

  8. Anal Chem SE Prebihalo 90 505 2018 10.1021/acs.analchem.7b04226 Prebihalo SE, Berrier KL, Freye CE, Bahaghighat HD, Moore NR, David PK, Synovec RE (2018) Multidimensional gas chromatography: advances in instrumentation, chemometrics, and applications. Anal Chem 90:505-532. https://doi.org/10.1021/acs.analchem.7b04226 

  9. J Chromatogr A KM Pierce 1184 341 2008 10.1016/j.chroma.2007.07.059 Pierce KM, Hoggard JC, Mohler RE, Synovec RE (2008) Recent advancements in comprehensive two-dimensional separations with chemometrics. J Chromatogr A 1184:341-352. https://doi.org/10.1016/j.chroma.2007.07.059 

  10. J Chromatogr B M Kusano 855 71 2007 10.1016/j.jchromb.2007.05.002 Kusano M, Fukushima A, Kobayashi M, Hayashi N, Jonsson P, Moritz T, Ebana K, Saito K (2007) Application of a metabolomic method combining one-dimensional and two-dimensional gas chromatography-time-of-flight/mass spectrometry to metabolic phenotyping of natural variants in rice. J Chromatogr B 855:71-79. https://doi.org/10.1016/j.jchromb.2007.05.002 

  11. Metabolomics WJ Allwood 5 479 2009 10.1007/s11306-009-0169-z Allwood WJ, Erban A, de Koning S, Dunn WB, Luedemann A, Lommen A, Kay L, Löscher R, Kopka J, Goodacre R (2009) Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics. Metabolomics 5:479-496. https://doi.org/10.1007/s11306-009-0169-z 

  12. Food Chem B Xu 245 415 2018 10.1016/j.foodchem.2017.10.114 Xu B, Zhang L, Ma F, Zhang W, Wang X, Zhang Q, Luo D, Ma H, Li P (2018) Determination of free steroidal compounds in vegetable oils by comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry. Food Chem 245:415-425. https://doi.org/10.1016/j.foodchem.2017.10.114 

  13. Talanta KM Pierce 70 797 2006 10.1016/j.talanta.2006.01.038 Pierce KM, Hope JL, Hoggard JC, Synovec RE (2006) A principal component analysis based method to discover chemical differences in comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry (GC × GC-TOFMS) separations of metabolites in plant samples. Talanta 70:797-804. https://doi.org/10.1016/j.talanta.2006.01.038 

  14. PLoS ONE ÂC Salvador 8 2013 10.1371/journal.pone.0059338 Salvador ÂC, Baptista I, Barros AS, Gomes NC, Cunha Â, Almeida A, Rocha SM (2013) Can volatile organic metabolites be used to simultaneously assess microbial and mite contamination level in cereal grains and coffee beans? PLoS ONE 8:e59338. https://doi.org/10.1371/journal.pone.0059338 

  15. Sci Rep C Hurtado 7 1 2017 10.1038/s41598-017-06773-0 Hurtado C, Parastar H, Matamoros V, Piña B, Tauler R, Bayona JM (2017) Linking the morphological and metabolomic response of Lactuca sativa L exposed to emerging contaminants using GC × GC-MS and chemometric tools. Sci Rep 7:1-13. https://doi.org/10.1038/s41598-017-06773-0 

  16. Metabolites V Lim 10 114 2020 10.3390/metabo10030114 Lim V, Gorji SG, Daygon VD, Melissa F (2020) Untargeted and targeted metabolomic profiling of Australian indigenous fruits. Metabolites 10:114. https://doi.org/10.3390/metabo10030114 

  17. Sci Rep VD Daygon 7 8767 2017 10.1038/s41598-017-07693-9 Daygon VD, Calingacion M, Forster LC, De Voss JJ, Schwartz BD, Ovenden B, Alonso DE, McCouch SR, Garson MJ, Fitzgerald MA (2017) Metabolomics and genomics combine to unravel the pathway for the presence of fragrance in rice. Sci Rep 7:8767. https://doi.org/10.1038/s41598-017-07693-9 

  18. Molecules W Setyaningsih 24 4180 2019 10.3390/molecules24224180 Setyaningsih W, Majchrzak T, Dymerski T, Namieśnik J, Palma M (2019) Key-marker volatile compounds in aromatic rice (Oryza Sativa) grains: an HS-SPME extraction method combined with GC × GC-TOFMS. Molecules 24:4180. https://doi.org/10.3390/molecules24224180 

  19. Sci Rep S Shen 6 34075 2016 10.1038/srep34075 Shen S, Weng R, Li L, Xu X, Bai Y, Liu H (2016) Metabolomic analysis of mouse embryonic fibroblast cells in response to autophagy induced by acute starvation. Sci Rep 6:34075. https://doi.org/10.1038/srep34075 

  20. Food Chem TJ Kim 331 2020 10.1016/j.foodchem.2020.127286 Kim TJ, Hyeon HJ, Park NI, Yi TG, Lim SH, Park SY, Ha SH, Kim JK (2020) A high-throughput platform for interpretation of metabolite profile data from pepper (Capsicum) fruits of 13 phenotypes associated with different fruit maturity. Food Chem 331:127286. https://doi.org/10.1016/j.foodchem.2020.127286 

  21. BMC Plant Biol MK You 20 167 2020 10.1186/s12870-020-02357-9 You MK, Lee YJ, Kim JK, Baek SA, Jeon YA, Lim SH, Ha SH (2020) The organ-specific differential roles of rice DXS and DXR, the first two enzymes of the MEP pathway, in carotenoid metabolism in Oryza sativa leaves and seeds. BMC Plant Biol 20:167. https://doi.org/10.1186/s12870-020-02357-9 

  22. CRC Crit Rev Plant Sci Y Deng 36 257 2017 10.1080/07352689.2017.1402852 Deng Y, Lu S (2017) Biosynthesis and regulation of phenylpropanoids in plants. CRC Crit Rev Plant Sci 36:257-290. https://doi.org/10.1080/07352689.2017.1402852 

  23. J Agric Food Chem JK Kim 58 12804 2010 10.1021/jf103277g Kim JK, Lee SY, Chu SM, Lim SH, Suh SC, Lee YT, Cho HS, Ha SH (2010) Variation and correlation analysis of flavonoids and carotenoids in Korean pigmented rice (Oryza sativa L.) cultivars. J Agric Food Chem 58:12804-12809. https://doi.org/10.1021/jf103277g 

  24. J Food Sci HI Jun 77 C759 2012 10.1111/j.1750-3841.2012.02763.x Jun HI, Song GS, Yang EI, Youn Y, Kim YS (2012) Antioxidant activities and phenolic compounds of pigmented rice bran extracts. J Food Sci 77:C759-C764. https://doi.org/10.1111/j.1750-3841.2012.02763.x 

  25. J Cereal Sci Y Shen 49 106 2009 10.1016/j.jcs.2008.07.010 Shen Y, Jin L, Xiao P, Lu Y, Bao J (2009) Total phenolics, flavonoids, antioxidant capacity in rice grain and their relations to grain color, size and weight. J Cereal Sci 49:106-111. https://doi.org/10.1016/j.jcs.2008.07.010 

  26. Food and drug administration (2018) Bioanalytical method validation guidance for industry. https://www.fda.gov/files/drugs/published/Bioanalytical-Method-Validation-Guidance-for-Industry.pdf. Accessed 13 Jan 2021 

  27. Metabolomics W Welthagen 1 65 2005 10.1007/s11306-005-1108-2 Welthagen W, Shellie RA, Spranger J, Ristow M, Zimmermann R, Fiehn O (2005) Comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC × GC-TOF) for high resolution metabolomics: biomarker discovery on spleen tissue extracts of obese NZO compared to lean C57BL/6 mice. Metabolomics 1:65-73. https://doi.org/10.1007/s11306-005-1108-2 

  28. J Anal Methods Chem YG Ahn 2018 10.1155/2018/8341630 Ahn YG, Jeon SH, Lim HB, Choi NR, Hwang GS, Kim YP, Lee JY (2018) Analysis of polycyclic aromatic hydrocarbons in ambient aerosols by using one-dimensional and comprehensive two-dimensional gas chromatography combined with mass spectrometric method: a comparative study. J Anal Methods Chem. https://doi.org/10.1155/2018/8341630 

  29. Metabolites TJ Kim 10 112 2020 10.3390/metabo10030112 Kim TJ, Park JG, Ahn SK, Kim KW, Choi J, Kim HY, Ha SH, Seo WD, Kim JK (2020) Discrimination of adzuki bean (Vigna angularis) geographical origin by targeted and non-targeted metabolite profiling with gas chromatography time-of-flight mass spectrometry. Metabolites 10:112. https://doi.org/10.3390/metabo10030112 

  30. Molecules GR Kim 19 15679 2014 10.3390/molecules191015673 Kim GR, Jung ES, Lee S, Lim SH, Ha SH, Lee CH (2014) Combined mass spectrometry-based metabolite profiling of different pigmented rice (Oryza sativa L.) seeds and correlation with antioxidant activities. Molecules 19:15679-15686. https://doi.org/10.3390/molecules191015673 

  31. Seed Sci Res L Rosental 24 1 2014 10.1017/S0960258513000391 Rosental L, Nonogaki H, Fait A (2014) Activation and regulation of primary metabolism during seed germination. Seed Sci Res 24:1-15. https://doi.org/10.1017/S0960258513000391 

  32. Plant Breed Biotechnol MC Lee 1 58 2013 10.9787/PBB.2013.1.1.058 Lee MC, Lee DJ, Lee GA, Park HJ, Lee JR, Choi YM, Lee SK, Jung Y, Cho YG, Song JY (2013) Analysis and comparison of the γ-oryzanol content based on phylogenetic groups in Korean landraces of rice (Oryza sativa L.). Plant Breed Biotechnol 1:58-69. https://doi.org/10.9787/PBB.2013.1.1.058 

  33. Nat Prod Res YH Cho 31 2778 2017 10.1080/14786419.2017.1292271 Cho YH, Farhoudi R, Farooq M, Lee DJ (2017) Evaluating Korean rice genotypes and landraces for octacosanol contents and antioxidant activity. Nat Prod Res 31:2778-2782. https://doi.org/10.1080/14786419.2017.1292271 

LOADING...

활용도 분석정보

상세보기
다운로드
내보내기

활용도 Top5 논문

해당 논문의 주제분야에서 활용도가 높은 상위 5개 콘텐츠를 보여줍니다.
더보기 버튼을 클릭하시면 더 많은 관련자료를 살펴볼 수 있습니다.

관련 콘텐츠

오픈액세스(OA) 유형

GOLD

오픈액세스 학술지에 출판된 논문

유발과제정보 저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로