Evaluation of phenolic compounds from viroid-free and viroid-infected apples using HPLC-PDA-ESI-MS/MS

被引:4
|
作者
Thi Phuong Duyen Vu [1 ]
Cho, In Sook [2 ]
Kim, Kyung Tae [3 ]
Yang, Seo Young [1 ]
Kim, Young Ho [1 ]
Kang, Jong Seong [1 ]
机构
[1] Chungnam Natl Univ, Coll Pharm, Daejeon 3414, South Korea
[2] Natl Inst Hort & Herbal Sci, Dept Hort & Crop Environm, RDA, Wonju, South Korea
[3] Dong Eui Univ, Div Bioengn, Busan, South Korea
关键词
HPLC-PDA-MS; MS; linear discriminant analysis; phenolic compounds; viroid-infected apple; SCAB RESISTANCE; ANTIOXIDANT; FLAVONOIDS;
D O I
10.1002/pca.2822
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Introduction Apples are the most consumed fruits in Korea and have played an economically important role in Korean agriculture. However, widespread viroid infection in apples had been reported in recent years. Objectives The objective of this study was to clarify the relationships between viroid-disease resistance and phenols content of three apple cultivars: "Fuji", "Gamhong", and "Hongro". A model for distinguishing between viroid-free and viroid-infected apples was also developed. Methodology Phenolic compounds in samples were detected using high-performance liquid chromatography photodiode array tandem mass spectrometry (HPLC-PDA-MS/MS) and quantified using an ultraviolet detector at 280 nm. A C-18-column and 0.5% aqueous acetic acid-methanol were used as the stationary and mobile phase. The HPLC method was validated with respect to linearity, precision, accuracy, and recovery. Multivariate analysis was performed using phenols content as variables to classify viroid-free and viroid-infected apples. Results An accurate method for identifying and quantifying phenol compounds in apple samples was developed and validated. In response to viroid infection, considerable increases in the content of dihydrochalcones (in all three cultivars), hydroxycinnamic acid (in "Fuji"), and flavonols (in "Hongro") were observed. The flavonols content in "Fuji" viroid-infected samples, however, decreased dramatically. An effective linear discriminant model, with 98.2% accuracy and 94.6% predictive ability, was achieved to discriminate between viroid-free and viroid-infected samples. Conclusion The developed HPLC method is suitable to identify and quantify phenol compounds in viroid-free and viroid-infected apples. A hypothesis about the significance of these compounds in viroid-disease resistance was proposed. The linear discriminant model with high predictive ability is useful for identifying viroid-infected apples in the orchards.
引用
收藏
页码:395 / 404
页数:10
相关论文
共 47 条
  • [1] Identification and quantification of phenolic compounds in grapes by HPLC-PDA-ESI-MS on a semimicro separation scale
    Nicoletti, Isabella
    Bello, Cristiano
    De Rossi, Antonella
    Corradini, Danilo
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2008, 56 (19) : 8801 - 8808
  • [2] Characterization and quantification of phenolic compounds of Argania spinosa leaves by HPLC-PDA-ESI-MS analyses and their antioxidant activity
    Joguet, Nicolas
    Maugard, Thierry
    CHEMISTRY OF NATURAL COMPOUNDS, 2013, 48 (06) : 1069 - 1071
  • [3] Identification and Quantitation of Phenolic Compounds from the Seed and Pomace of Perilla frutescens Using HPLC/PDA and HPLC-ESI/QTOF/MS/MS
    Guan, Zheng
    Li, Sicong
    Lin, Zongtao
    Yang, Ruinan
    Zhao, Yan
    Liu, Jinchuan
    Yang, Shuming
    Chen, Ailiang
    PHYTOCHEMICAL ANALYSIS, 2014, 25 (06) : 508 - 513
  • [4] Separation, Identification, and Quantitation of Phenolic Acids in Chinese Waxberry (Myrica Rubra) Juice by HPLC-PDA-ESI-MS
    Wang, Chengjun
    Zhao, Jingbei
    Chen, Fan
    Cheng, Yaqian
    Guo, Aihong
    JOURNAL OF FOOD SCIENCE, 2012, 77 (02) : C272 - C277
  • [5] Characterization of hepatoprotective metabolites from Artemisia annua and Cleome droserifolia using HPLC/PDA/ESI/MS-MS
    El-Askary, Hesham
    Handoussa, Heba
    Badria, Farid
    El-Khatib, Ahmed H.
    Alsayari, Abdulrhman
    Linscheid, Michael W.
    Motaal, Amira Abdel
    REVISTA BRASILEIRA DE FARMACOGNOSIA-BRAZILIAN JOURNAL OF PHARMACOGNOSY, 2019, 29 (02): : 213 - 220
  • [6] Identification of phenolic compounds by HPLC-ESI-MS/MS and antioxidant activity from Chilean propolis
    Castro, Consuelo
    Mura, Francisco
    Valenzuela, Gabriela
    Figueroa, Catalina
    Salinas, Romina
    Carolina Zuniga, M.
    Lluis Torres, Josep
    Fuguet, Elisabet
    Delporte, Carla
    FOOD RESEARCH INTERNATIONAL, 2014, 64 : 873 - 879
  • [7] Radical scavenging activities and composition identification of phenolic compounds from crowndaisy seeds by offline HPLC combined with LC-ESI-MS/MS
    Li, Rong
    Zhang, Lu-Jie
    Jiang, Zi-Tao
    Wang, Ying
    Tan, Jin
    Tang, Shu-Hua
    EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2020, 246 (05) : 1073 - 1080
  • [8] Nutrient composition and, identification/quantification of major phenolic compounds in Sarcocornia ambigua (Amaranthaceae) using HPLC-ESI-MS/MS
    Bertin, Renata Labronici
    Gonzaga, Luciano Valdemiro
    Campelo Borges, Graciele da Silva
    Azevedo, Monia Stremel
    Maltez, Heloisa Franca
    Heller, Melina
    Micke, Gustavo Amadeu
    Ballod Tavares, Lorena Benathar
    Fett, Roseane
    FOOD RESEARCH INTERNATIONAL, 2014, 55 : 404 - 411
  • [9] Hepatoprotective and Antioxidant Effect of Bauhinia hookeri Extract against Carbon Tetrachloride-Induced Hepatotoxicity in Mice and Characterization of Its Bioactive Compounds by HPLC-PDA-ESI-MS/MS
    Al-Sayed, Eman
    Martiskainen, Olli
    el-Din, Sayed H. Seif
    Sabra, Abdel-Nasser A.
    Hammam, Olfat A.
    El-Lakkany, Naglaa M.
    Abdel-Daim, Mohamed M.
    BIOMED RESEARCH INTERNATIONAL, 2014, 2014
  • [10] Dereplication by HPLC-ESI-MS and antioxidant activity of phenolic compounds from Banisteriopsis laevifolia (Malpighiaceae)
    Alexandre, Gerso P.
    Simao, Jorge Luiz S.
    Tavares, Maria Olivia A.
    Zuffo, Izabella Mariana S.
    Prado, Stephanie, V
    De Paiva, Joseilson A.
    Mustapha, Abubakar N.
    De Oliveira, Anselmo E.
    Kato, Lucilia
    Severino, Vanessa Gisele P.
    ANAIS DA ACADEMIA BRASILEIRA DE CIENCIAS, 2022, 94 (01):