Literature DB >> 26471630

NIR detection of honey adulteration reveals differences in water spectral pattern.

György Bázár1, Róbert Romvári2, András Szabó2, Tamás Somogyi2, Viktória Éles2, Roumiana Tsenkova3.   

Abstract

High fructose corn syrup (HFCS) was mixed with four artisanal Robinia honeys at various ratios (0-40%) and near infrared (NIR) spectra were recorded with a fiber optic immersion probe. Levels of HFCS adulteration could be detected accurately using leave-one-honey-out cross-validation (RMSECV=1.48; R(2)CV=0.987), partial least squares regression and the 1300-1800nm spectral interval containing absorption bands related to both water and carbohydrates. Aquaphotomics-based evaluations showed that unifloral honeys contained more highly organized water than the industrial sugar syrup, supposedly because of the greater variety of molecules dissolved in the multi-component honeys. Adulteration with HFCS caused a gradual reduction of water molecular structures, especially water trimers, which facilitate interaction with other molecules. Quick, non-destructive NIR spectroscopy combined with aquaphotomics could be used to describe water molecular structures in honey and to detect a rather common form of adulteration.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Adulteration; Aliment; Aquaphotomics; Fraud; Fructose; Honey; Near infrared spectroscopy; Water

Mesh:

Substances:

Year:  2015        PMID: 26471630     DOI: 10.1016/j.foodchem.2015.08.092

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  12 in total

1.  Application of near-infrared spectroscopy for frozen-thawed characterization of cuttlefish (Sepia officinalis).

Authors:  Michele Sannia; Lorenzo Serva; Stefania Balzan; Severino Segato; Enrico Novelli; Luca Fasolato
Journal:  J Food Sci Technol       Date:  2019-07-24       Impact factor: 2.701

2.  Rapid detection of adulteration in Anoectochilus roxburghii by near-infrared spectroscopy coupled with chemometric methods.

Authors:  Shuailing Li; Zhian Wang; Qingsong Shao; Hailing Fang; Jianjun Zhu; Xueqian Wu; Bingsong Zheng
Journal:  J Food Sci Technol       Date:  2018-07-19       Impact factor: 2.701

3.  Essentials of Aquaphotomics and Its Chemometrics Approaches.

Authors:  Roumiana Tsenkova; Jelena Munćan; Bernhard Pollner; Zoltan Kovacs
Journal:  Front Chem       Date:  2018-08-28       Impact factor: 5.221

4.  Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes-A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR.

Authors:  László Sipos; Rita Végh; Zsanett Bodor; John-Lewis Zinia Zaukuu; Géza Hitka; György Bázár; Zoltan Kovacs
Journal:  Sensors (Basel)       Date:  2020-11-26       Impact factor: 3.576

5.  Revealing the Effect of Heat Treatment on the Spectral Pattern of Unifloral Honeys Using Aquaphotomics.

Authors:  Zsanett Bodor; Csilla Benedek; Balkis Aouadi; Viktoria Zsom-Muha; Zoltan Kovacs
Journal:  Molecules       Date:  2022-01-25       Impact factor: 4.411

6.  Identification of Stingless Bee Honey Adulteration Using Visible-Near Infrared Spectroscopy Combined with Aquaphotomics.

Authors:  Muna E Raypah; Ahmad Fairuz Omar; Jelena Muncan; Musfirah Zulkurnain; Abdul Rahman Abdul Najib
Journal:  Molecules       Date:  2022-04-03       Impact factor: 4.411

7.  Non-destructive geographical traceability of sea cucumber (Apostichopus japonicus) using near infrared spectroscopy combined with chemometric methods.

Authors:  Xiuhan Guo; Rui Cai; Shisheng Wang; Bo Tang; Yueqing Li; Weijie Zhao
Journal:  R Soc Open Sci       Date:  2018-01-17       Impact factor: 2.963

8.  Non-linearity correction in NIR absorption spectra by grouping modeling according to the content of analyte.

Authors:  Ai Liu; Gang Li; Zhigang Fu; Yang Guan; Ling Lin
Journal:  Sci Rep       Date:  2018-06-04       Impact factor: 4.379

Review 9.  Historical Evolution and Food Control Achievements of Near Infrared Spectroscopy, Electronic Nose, and Electronic Tongue-Critical Overview.

Authors:  Balkis Aouadi; John-Lewis Zinia Zaukuu; Flora Vitális; Zsanett Bodor; Orsolya Fehér; Zoltan Gillay; George Bazar; Zoltan Kovacs
Journal:  Sensors (Basel)       Date:  2020-09-24       Impact factor: 3.576

10.  NIRS and Aquaphotomics Trace Robusta-to-Arabica Ratio in Liquid Coffee Blends.

Authors:  Balkis Aouadi; Flora Vitalis; Zsanett Bodor; John-Lewis Zinia Zaukuu; Istvan Kertesz; Zoltan Kovacs
Journal:  Molecules       Date:  2022-01-08       Impact factor: 4.411

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