Determination of the Composition in Sugars and Organic Acids in Peach Using Mid Infrared Spectroscopy: Comparison of Prediction Results According to Data Sets and Different Reference Methods

被引:29
作者
Bureau, Sylvie [1 ,2 ]
Quilot-Turion, Benedicte [3 ]
Signoret, Veronique [3 ]
Renaud, Christel [4 ]
Maucourt, Mickael [5 ,6 ]
Bancel, Doriane [7 ]
Renard, Catherine M. G. C. [1 ,2 ]
机构
[1] INRA, Securite & Qualite Prod Origine Vegetale UMR408, F-84000 Avignon, France
[2] Univ Avignon & Pays de Vaucluse, Securite & Qualite Prod Origine Vegetale UMR408, F-84000 Avignon, France
[3] INRA, Genet & Ameliorat Fruits & Legumes UR1052, F-84143 Montfavet, France
[4] INRA, Ctr Bordeaux, Especes Fruitieres UR419, F-33140 Villenave Dornon, France
[5] Univ Bordeaux, Ctr INRA Bordeaux, Biol Fruit & Pathol UMR1332, F-33140 Villenave Dornon, France
[6] Ctr INRA Bordeaux, Metabolome Facil Bordeaux, IBVM, Funct Genom Ctr, F-33140 Villenave Dornon, France
[7] INRA, Plantes & Syst Cultures Hort UR1115, F-84000 Avignon, France
关键词
MIDINFRARED SPECTROSCOPY; FRUIT; METABOLOMICS; QUALITY; QUANTIFICATION; NECTARINES; PARAMETERS; TOMATO; FLESH; FTIR;
D O I
10.1021/ac402428s
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The prediction of internal quality properties, such as sweetness and acidity, in peach fruit by mid infrared spectroscopy is of interest for rapid determination. Attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) was tested here on two populations of peach fruits issued from contrasting genitors providing a large phenotypic variability. Over two successive years, 284 samples in 2006 and 483 samples in 2007 were characterized for soluble solids content (SSC), titratable acidity (TA), glucose, fructose, sucrose, malic acid, and citric acid contents. Sugar and organic acid composition were determined by three methods: colorimetric enzymatic measurements (ENZ), high-performance liquid chromatography (HPLC), or proton NMR spectroscopy (H-1 NMR), depending on the samples. For all samples, fruit homogenates were analyzed in ATR-FTIR using the same methodology and the same spectrometer. The objective here was to evaluate the effect of reference methods on the prediction performance. The best results were generally observed for SSC and TA, the percentage of the root-mean-square error of cross validation (RMSECV%) ranging respectively between 5.8% and 8.7% and between 5.9% and 8.0%, depending on the samples. For individual sugars and organic acids, the best correlations were obtained between ATR-FTIR data and ENZ reference data followed by HPLC and H-1 NMR ones.
引用
收藏
页码:11312 / 11318
页数:7
相关论文
共 34 条
[1]   Attenuated Total Reflection-Fourier transform infrared analysis of the fermentation process of pineapple [J].
Armenta, S ;
Garrigues, S ;
de la Guardia, M ;
Rondeau, P .
ANALYTICA CHIMICA ACTA, 2005, 545 (01) :99-106
[2]  
Bertrand D., 2012, FREE PROCEDURES USIN
[3]   Effect of Sample Preparation on the Measurement of Sugars, Organic Acids, and Polyphenols in Apple Fruit by Mid-infrared Spectroscopy [J].
Bureau, Sylvie ;
Scibisz, Iwona ;
Le Bourvellec, Carine ;
Renard, Catherine M. G. C. .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2012, 60 (14) :3551-3563
[4]   Application of ATR-FTIR for a rapid and simultaneous determination of sugars and organic acids in apricot fruit [J].
Bureau, Sylvie ;
Ruiz, David ;
Reich, Maryse ;
Gouble, Barbara ;
Bertrand, Dominique ;
Audergon, Jean-Marc ;
Renard, Catherine M. G. C. .
FOOD CHEMISTRY, 2009, 115 (03) :1133-1140
[5]   Measurement of sugar content by multidimensional analysis and mid-infrared spectroscopy [J].
Cadet, F .
TALANTA, 1999, 48 (04) :867-875
[6]   Rapid determination of soluble solids content and acidity of Black currant (Ribes nigrum L.) juice by mid-infrared spectroscopy performed in series [J].
Camps, C. ;
Robic, R. ;
Bruneau, M. ;
Laurens, F. .
LWT-FOOD SCIENCE AND TECHNOLOGY, 2010, 43 (07) :1164-1167
[7]  
Coates J., ENCY ANAL CHEM APPL
[8]   Application of FTIR spectroscopy for the quantification of sugars in mango juice as a function of ripening [J].
Duarte, IF ;
Barros, A ;
Delgadillo, I ;
Almeida, C ;
Gil, AM .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2002, 50 (11) :3104-3111
[9]   Rapid method for the discrimination of red wine cultivars based on mid-infrared spectroscopy of phenolic wine extracts [J].
Edelmann, A ;
Diewok, J ;
Schuster, KC ;
Lendl, B .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2001, 49 (03) :1139-1145
[10]   Quality evaluation of peaches and nectarines by electrochemical and multivariate analyses: Relationships between analytical measurements and sensory attributes [J].
Esti, M ;
Messia, MC ;
Sinesio, F ;
Nicotra, A ;
Conte, L ;
LaNotte, E ;
Palleschi, G .
FOOD CHEMISTRY, 1997, 60 (04) :659-666