Time-dependent changes of fruit metabolites studied by 1H NMR

被引:1
作者
Park, Sung Jean [1 ,2 ]
机构
[1] Gachon Univ, Gachon Inst Pharmaceut Sci, 191 Hambakmoero, Incheon 21936, South Korea
[2] Gachon Univ, Coll Pharm, 191 Hambakmoero, Incheon 21936, South Korea
来源
JOURNAL OF THE KOREAN MAGNETIC RESONANCE SOCIETY | 2022年 / 26卷 / 03期
基金
新加坡国家研究基金会;
关键词
Fruit browning; Metabolomics; NMR; APPLE; NORMALIZATION; PLS;
D O I
10.6564/JKMRS.2022.26.3.024
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The browning phenomenon of fruits can be easily observed when fruits or vegetables (apples, pears, bananas, potatoes, etc.) are cut with a knife and the part turns brown. When this browning occurs, changes in taste, color, and nutrients usually are introduced. The cause of this browning phenomenon has been well studied for a long time, but these studies have mainly focused on preventing deterioration of processed foods during food processing or storage. Resultantly, there are few studies on how much changes in nutrients (saccharides, amino acids, fats, water-soluble low molecular weight ammonium ions, etc.) are caused by browning. The purpose of this study is to determine the change in nutrients during browning using apple as a model fruit. We conducted a comparative study on how much the nutrient fluctuations differ depending on the presence or absence of pretreatment such as the application of heat. All analysis was conducted using 1H NMR. The ANOVA analysis showed that the concentrations of 4 amino acids (alanine, asparagine, isoleucine, and valine), 3 types of sugars (fructose, glucose, and xylose), 1 type of organic acid (lactate) and choline were significantly increased in samples showing browning. In addition, the groups before and after browning were clearly separated using multivariate statistical analysis methods (PCA, PLS-DA), which was greatly contributed by two sugar components (fructose and glucose) present in high concentrations in apples.
引用
收藏
页码:24 / 33
页数:10
相关论文
共 25 条
[1]  
Ahn S. J., 2008, KOREAN J FOOD CULTUR, V23, P489
[2]   OPLS discriminant analysis:: combining the strengths of PLS-DA and SIMCA classification [J].
Bylesjo, Max ;
Rantalainen, Mattias ;
Cloarec, Olivier ;
Nicholson, Jeremy K. ;
Holmes, Elaine ;
Trygg, Johan .
JOURNAL OF CHEMOMETRICS, 2006, 20 (8-10) :341-351
[3]  
Choi O. J., 2008, KOREAN J FOOD CULTUR, V23, P489
[4]  
Choi Seong-Jin, 1997, Journal of the Korean Society for Horticultural Science, V38, P250
[5]   Scaling and normalization effects in NMR spectroscopic metabonomic data sets [J].
Craig, A ;
Cloareo, O ;
Holmes, E ;
Nicholson, JK ;
Lindon, JC .
ANALYTICAL CHEMISTRY, 2006, 78 (07) :2262-2267
[6]   Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures.: Application in 1H NMR metabonomics [J].
Dieterle, Frank ;
Ross, Alfred ;
Schlotterbeck, Gotz ;
Senn, Hans .
ANALYTICAL CHEMISTRY, 2006, 78 (13) :4281-4290
[7]   CV-ANOVA for significance testing of PLS and OPLS® models [J].
Eriksson, Lennart ;
Trygg, Johan ;
Wold, Svante .
JOURNAL OF CHEMOMETRICS, 2008, 22 (11-12) :594-600
[8]  
Fotiric M., 2022, FRONT NUTR, V9
[9]   NMR based serum metabolomics reveals a distinctive signature in patients with Lupus Nephritis [J].
Guleria, Anupam ;
Pratap, Avadhesh ;
Dubey, Durgesh ;
Rawat, Atul ;
Chaurasia, Smriti ;
Sukesh, Edavalath ;
Phatak, Sanat ;
Ajmani, Sajal ;
Kumar, Umesh ;
Khetrapal, Chunni Lal ;
Bacon, Paul ;
Misra, Ramnath ;
Kumar, Dinesh .
SCIENTIFIC REPORTS, 2016, 6
[10]   A Comprehensive Review of Apples and Apple Components and Their Relationship to Human Health [J].
Hyson, Dianne A. .
ADVANCES IN NUTRITION, 2011, 2 (05) :408-420