Analysis of volatile compounds of Mesona Blumes gum/rice extrudates via GC-MS and electronic nose

Abstract Samples containing 0–20% (w/w) Mesona Blumes gum (MBG) mixed with hybrid indica rice (type 9718) were extruded in a PTW-24/25D laboratory co-rotating fully intermeshing twin-screw extruder under the same condition. Firstly, a portable electronic nose with 10 metal oxide sensor arrays was used to study the volatiles from the headspace of the samples with various MBG contents. The direct electronic nose response recording combined with principal component analysis (PCA) enabled a rapid differentiation of the rice extrudates formulas with various MBG contents. It was clearly shown that odour of rice extrudates with 0% MBG was significantly different from odours of those with 5–20% MBG. Secondly, GC–MS was utilized to identify uncertain volatile compounds resulting in the odour differentiation. The obtained results suggested that these volatile compounds mainly consist of ketones (camphor, 2-butanone), aldehydes (acetaldehyde, 3-methyl-butanal, nonanal and benzaldehyde), pyrrole (1-methyl-1H-pyrrole), piperazine (piperazine), furan (2-pentyl-furan) and some herbal flavor compounds (benzaldehyde, nonanal, dl-limonene). In addition, the herbal flavor compounds mainly resulted in the fine differentiation between these rice extrudates. By multivariate analysis on GC–MS data of 5 different rice extrudates, it was indicated that the formulas without MBG group were distant from formulas with MBG, but formula with 20% MBG was pronouncedly distant from other formulas with MBG, and the chemical compounds representing herbal flavor were concentrated around the point of formula with 20% MBG. Furthermore, the dendrogram of these 5 groups showed the identical trend with PCA (principal component analysis) biplot. In conclusion, an electronic nose combining with GC–MS analysis could distinguish the formulas of rice extrudates with known different MBG content.

[1]  F. Sefidkon,et al.  Chemical composition of the essential oil of Micromeria persica Boiss. from Iran , 2005 .

[2]  François Fenaille,et al.  Comparison of mass spectrometry-based electronic nose and solid phase microextraction gas chromatography-mass spectrometry technique to assess infant formula oxidation. , 2003, Journal of agricultural and food chemistry.

[3]  Wolfgang Göpel,et al.  Chemical imaging: I. Concepts and visions for electronic and bioelectronic noses 1 Presented in part , 1998 .

[4]  M. Koudelka-Hep,et al.  Electronic noses – A mini-review , 1999 .

[5]  B. Himelbloom,et al.  Headspace Gas Chromatography-Mass Spectrometry and Electronic Nose Analysis of Volatile Compounds in Canned Alaska Pink Salmon Having Various Grades of Watermarking , 2005 .

[6]  Reinaldo Campos-Vargas,et al.  The aroma development during storage of Castlebrite apricots as evaluated by gas chromatography, electronic nose, and sensory analysis , 2009 .

[7]  C. Shu,et al.  Essential Oil of Torreya taxifolia Arnott , 1995 .

[8]  Jun Wang,et al.  Discrimination of LongJing green-tea grade by electronic nose , 2007 .

[9]  R. Buttery,et al.  Contribution of volatiles to rice aroma , 1988 .

[10]  R. Bryant,et al.  Functional Properties of Extruded Rice Flours , 2003 .

[11]  Takamichi Nakamoto,et al.  Recording and reproducing citrus flavors using odor recorder , 2005 .

[12]  Jun Wang,et al.  Predictions of acidity, soluble solids and firmness of pear using electronic nose technique , 2008 .

[13]  Jun Wang,et al.  Quality grade identification of green tea using the eigenvalues of PCA based on the E-nose signals , 2009 .

[14]  Discrimination of chemically similar organic vapours and vapour mixtures using the Kohonen network , 2000 .

[15]  P. Apostoli The role of element speciation in environmental and occupational medicine , 1999 .

[16]  Hongmei Zhang,et al.  Quality grade identification of green tea using E-nose by CA and ANN , 2008 .

[17]  Zhengyu Jin,et al.  Chemical Composition and Some Rheological Properties of Mesona Blumes Gum , 2007 .

[18]  Fang Zhong,et al.  Correlating chemical parameters of controlled oxidation tallow to gas chromatography–mass spectrometry profiles and e-nose responses using partial least squares regression analysis , 2010 .

[19]  G. D. Valle,et al.  Shear and elongational viscosities of a complex starchy formulation for extrusion cooking , 2010 .

[20]  E. Guichard,et al.  Odor-active compounds in cooked rice cultivars from Camargue (France) analyzed by GC-O and GC-MS. , 2008, Journal of agricultural and food chemistry.

[21]  W. Orts,et al.  Volatile flavor components of rice cakes. , 1999, Journal of agricultural and food chemistry.

[22]  P. Venskutonis,et al.  Testing of microencapsulated flavours by electronic nose and SPME–GC , 2005 .

[23]  W. Horwitz,et al.  Official methods of analysis of AOAC International , 2010 .

[24]  Udo Weimar,et al.  Chemical imaging: II. Trends in practical multiparameter sensor systems , 1998 .

[25]  Amaya Zalacain,et al.  Analysis of saffron volatile fraction by TD–GC–MS and e-nose , 2006 .

[26]  Annia García Pereira,et al.  Discrimination of storage shelf-life for mandarin by electronic nose technique , 2007 .