Accelerated chemotaxonomic discrimination of marine fish surimi based on Tri-step FT-IR spectroscopy and electronic sensory

Abstract Surimi, important raw materials of kamaboko industry, commonly have different species with distinct quality but are tough to be authenticated and discriminated rapidly and holistically by conventional methods. This study sought to develop an easy to use and robust method based on a Tri-step infrared spectroscopy combined with electronic sensory for rapid characterization and discrimination of marine fish surimi. Global nutrition fingerprints (lipids, proteins and other compositions) of each surimi species at the three levels of enhanced spectral resolution and nutrition profile variations among different species were integratively interpreted with fast evaluation of their relative contents based on spectral peak intensity. Two-hundred batches of surimi (fifty for each surimi) were objectively classified by PCA. Complementarily, electronic eyes and electronic nose distinguished four species surimi effectively in color and smell with discrimination indexes 98 and 82, respectively. The developed method can be potentially used as a cheap and easy to use alternative to rapid chemotaxonomic discrimination of surimi.

[1]  R. Witthuhn,et al.  Comparative study of different methods for the extraction of DNA from fish species commercially available in South Africa , 2011 .

[2]  Chang-Hua Xu,et al.  Rapid discrimination of Herba Cistanches by multi-step infrared macro-fingerprinting combined with soft independent modeling of class analogy (SIMCA). , 2013, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[3]  Ping Wang,et al.  Infrared macro-fingerprint analysis-through-separation for holographic chemical characterization of herbal medicine. , 2013, Journal of pharmaceutical and biomedical analysis.

[4]  Da-Wen Sun,et al.  Application of the electronic nose to the identification of different milk flavorings , 2010 .

[5]  G. Trystram,et al.  Influence of the mixing process on surimi seafood paste properties and structure , 2012 .

[6]  Jian Huang,et al.  Rapid discrimination of cultivated Codonopsis lanceolata in different ages by FT-IR and 2DCOS-IR , 2014 .

[7]  Dan Zhu,et al.  Fourier transform infrared spectroscopy and Raman spectroscopy as tools for identification of steryl ferulates. , 2013, Journal of agricultural and food chemistry.

[8]  Xichang Wang,et al.  Rapid Discrimination of Different Grades of White Croaker Surimi by Tri-Step Infrared Spectroscopy Combined with Soft Independent Modeling of Class Analogy (SIMCA) , 2016, Food Analytical Methods.

[9]  U. Anyanwu,et al.  Physicochemical properties of Alaska pollock (Theragra chalcograma) surimi gels with oat bran , 2016 .

[10]  D. Milde,et al.  Discrimination of cheese products for authenticity control by infrared spectroscopy. , 2012, Journal of agricultural and food chemistry.

[11]  Bruno Ando Electronic sensory systems for the visually impaired , 2003 .

[12]  Haiyan Yu,et al.  Discrimination of chicken seasonings and beef seasonings using electronic nose and sensory evaluation. , 2014, Journal of food science.

[13]  Morteza Zahedi,et al.  Improving the unsupervised LBG clustering algorithm performance in image segmentation using principal component analysis , 2015, Signal, Image and Video Processing.

[14]  Xi-Chang Wang,et al.  Rapid determination and chemical change tracking of benzoyl peroxide in wheat flour by multi-step IR macro-fingerprinting. , 2016, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[15]  I. Noda Generalized Two-Dimensional Correlation Method Applicable to Infrared, Raman, and other Types of Spectroscopy , 1993 .

[16]  Qun Zhou,et al.  Application of mid-infrared spectroscopy in the quality control of traditional Chinese medicines. , 2010, Planta medica.

[17]  Isao Noda,et al.  Two-dimensional infrared spectroscopy , 1989 .

[18]  Y. Jung,et al.  Surface-induced thermal decomposition of [Ru(dcbpyH)2-(CN)2] on nanocrystalline TiO2 surfaces: Temperature-dependent infrared spectroscopy and two-dimensional correlation analysis , 2011 .

[19]  J. Park,et al.  Surimi: manufacturing and evaluation. , 2005 .

[20]  Qun Zhou,et al.  Multi-steps Infrared Macro-fingerprint Analysis for thermal processing of Fructus viticis , 2006 .

[21]  Xichang Wang,et al.  Rapid discrimination of three marine fish surimi by Tri-step infrared spectroscopy combined with Principle Component Regression. , 2015, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[22]  Chang-Hua Xu,et al.  Rapid discrimination of china sponges by Tri-step infrared spectroscopy: A preliminary study , 2014 .

[23]  Xichang Wang,et al.  Rapid analysis and quantification of fluorescent brighteners in wheat flour by Tri-step infrared spectroscopy and computer vision technology , 2015 .

[24]  Ping Wang,et al.  Analysis and identification of different animal horns by a three-stage infrared spectroscopy. , 2011, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[25]  H. Schulz,et al.  Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy on Intact Dried Leaves of Sage (Salvia officinalis L.): Accelerated Chemotaxonomic Discrimination and Analysis of Essential Oil Composition. , 2015, Journal of agricultural and food chemistry.

[26]  E. Garcia-Vazquez,et al.  Towards more sustainable surimi? PCR-cloning approach for DNA barcoding reveals the use of species of low trophic level and aquaculture in Asian surimi , 2016 .

[27]  Xuxia Zhou,et al.  Physical, chemical and microbiological characteristics of fermented surimi with Actinomucor elegans , 2014 .