Honey Evaluation Using Electronic Tongues: An Overview

Honey-rich composition in biologically active compounds makes honey a food products highly appreciated due to the nutritional and healthy properties. Food-manufacturing is very prone to different types of adulterations and fraudulent labelling making it urgent to establish accurate, fast and cost-effective analytical techniques for honey assessment. In addition to the classical techniques (e.g., physicochemical analysis, microscopy, chromatography, immunoassay, DNA metabarcoding, spectroscopy), electrochemical based-sensor devices have arisen as reliable and green techniques for food analysis including honey evaluation, allowing in-situ and on-line assessment, being a user-friendly procedure not requiring high technical expertise. In this work, the use of electronic tongues, also known as taste sensor devices, for honey authenticity and assessment is reviewed. Also, the versatility of electronic tongues to qualitative (e.g., botanical and/or geographical origin assessment as well as detection of adulteration) and quantitative (e.g., assessment of adulterants levels, determination of flavonoids levels or antibiotics and insecticides residues, flavonoids) honey analysis is shown. The review is mainly focused on the research outputs reported during the last decade aiming to demonstrate the potentialities of potentiometric and voltammetric multi-sensor devices, pointing out their main advantages and present and future challenges for becoming a practical quality analytical tool at industrial and commercial levels.

[1]  Z. Sroka,et al.  Antioxidant activity, color characteristics, total phenol content and general HPLC fingerprints of six Polish unifloral honey types , 2014 .

[2]  M. Ozcan,et al.  Some qualitative properties of different monofloral honeys. , 2014, Food chemistry.

[3]  Yufeng Sun,et al.  Voltammetric sensor for chloramphenicol determination based on a dual signal enhancement strategy with ordered mesoporous carbon@polydopamine and β-cyclodextrin , 2018 .

[4]  M. Al-Ghobashy,et al.  Simultaneous determination of 200 pesticide residues in honey using gas chromatography-tandem mass spectrometry in conjunction with streamlined quantification approach. , 2016, Journal of chromatography. A.

[5]  Susana I. L. Gomes,et al.  Physicochemical, microbiological and antimicrobial properties of commercial honeys from Portugal. , 2010, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[6]  Douglas N Rutledge,et al.  Combination of 1H NMR and chemometrics to discriminate manuka honey from other floral honey types from Oceania. , 2017, Food chemistry.

[7]  A. Tamendjari,et al.  Antioxydant activity of some algerian honey and propolis , 2016 .

[8]  L. Estevinho,et al.  Practical procedure for discriminating monofloral honey with a broad pollen profile variability using an electronic tongue. , 2014, Talanta.

[9]  S. Rossi,et al.  Particulate systems based on pectin/chitosan association for the delivery of manuka honey components and platelet lysate in chronic skin ulcers. , 2016, International journal of pharmaceutics.

[10]  Ana C. A. Veloso,et al.  Monitoring olive oils quality and oxidative resistance during storage using an electronic tongue , 2016 .

[11]  Gerrit Polder,et al.  Detection of Honey Adulteration using Hyperspectral Imaging , 2016 .

[12]  Bruno Ricco,et al.  Rapid and innovative instrumental approaches for quality and authenticity of olive oils , 2016 .

[13]  Q. Yuan,et al.  Highly sensitive electrochemical sensor for chloramphenicol based on MOF derived exfoliated porous carbon. , 2017, Talanta.

[14]  Benachir Bouchikhi,et al.  Classification of Honey According to Geographical and Botanical Origins and Detection of Its Adulteration Using Voltammetric Electronic Tongue , 2016, Food Analytical Methods.

[15]  Yu-Ping Zhang,et al.  Novel nanostructured MIL-101(Cr)/XC-72 modified electrode sensor: A highly sensitive and selective determination of chloramphenicol , 2017 .

[16]  D. N. Balasuriya,et al.  Electronic Honey Quality Analyser , 2016 .

[17]  Andrey Legin,et al.  Water toxicity evaluation in terms of bioassay with an Electronic Tongue , 2013 .

[18]  B. Tudu,et al.  Discrimination of monofloral honey using cyclic voltammetry , 2012, 2012 3rd National Conference on Emerging Trends and Applications in Computer Science.

[19]  Ping Wang,et al.  Electronic Nose and Electronic Tongue , 2015 .

[20]  S. Gan,et al.  Biological and therapeutic effects of honey produced by honey bees and stingless bees: a comparative review , 2016 .

[21]  P. Andrade,et al.  Assessing Rubus honey value: Pollen and phenolic compounds content and antibacterial capacity , 2012 .

[22]  P. Pramanik,et al.  Voltammetric technique for honey analysis using NiO/Nps modified carbon paste electrode , 2014, Proceedings of The 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC).

[23]  Stavros Kontakos,et al.  Characterization and geographical discrimination of commercial Citrus spp. honeys produced in different Mediterranean countries based on minerals, volatile compounds and physicochemical parameters, using chemometrics. , 2017, Food chemistry.

[24]  R. Bataller,et al.  Monitoring honey adulteration with sugar syrups using an automatic pulse voltammetric electronic tongue , 2018, Food Control.

[25]  Jun Wang,et al.  Technique potential for classification of honey by electronic tongue , 2009 .

[26]  R. Burakham,et al.  A preconcentration method for analysis of neonicotinoids in honey samples by ionic liquid-based cold-induced aggregation microextraction. , 2016, Talanta.

[27]  Shen-ming Chen,et al.  Functionalized Carbon Black Nanospheres Hybrid with MoS2 Nanoclusters for the Effective Electrocatalytic Reduction of Chloramphenicol , 2018 .

[28]  Bipan Tudu,et al.  A review on combined odor and taste sensor systems , 2016 .

[29]  Abdul Hamid Adom,et al.  A Biomimetic Sensor for the Classification of Honeys of Different Floral Origin and the Detection of Adulteration , 2011, Sensors.

[30]  Zhenbo Wei,et al.  Tracing floral and geographical origins of honeys by potentiometric and voltammetric electronic tongue , 2014 .

[31]  Ingemar Lundström,et al.  Drift correction of electronic tongue responses , 2001 .

[32]  C. Fernandes,et al.  Pesticides in honey: A review on chromatographic analytical methods. , 2016, Talanta.

[33]  M. del Valle,et al.  Beer classification by means of a potentiometric electronic tongue. , 2013, Food chemistry.

[34]  Dora Melucci,et al.  The discrimination of honey origin using melissopalynology and Raman spectroscopy techniques coupled with multivariate analysis. , 2015, Food chemistry.

[35]  H. Vignesh Ramamoorthy,et al.  E-Nose and E-Tongue: Applications and Advances in Sensor Technology , 2014 .

[36]  A. Augustine,et al.  Topical honey for the treatment of diabetic foot ulcer: A systematic review. , 2016, Complementary therapies in clinical practice.

[37]  Anton du Plessis,et al.  Verification of authenticity and fraud detection in South African honey using NIR spectroscopy , 2017 .

[38]  Ingemar Lundström,et al.  2nd Workshop of the Second Network on Artificial Olfactory Sensing (NOSE II) , 2004 .

[39]  Alphus D. Wilson,et al.  Advances in Electronic-Nose Technologies Developed for Biomedical Applications , 2011, Sensors.

[40]  L. Estevinho,et al.  A novel approach for honey pollen profile assessment using an electronic tongue and chemometric tools. , 2015, Analytica chimica acta.

[41]  S. A. Al Muhayawi,et al.  Antimicrobial effect of different types of honey on Staphylococcus aureus , 2016, Saudi journal of biological sciences.

[42]  L. Estevinho,et al.  An electronic tongue for honey classification , 2008 .

[43]  H. Men,et al.  Fuzzy ARTMAP for the Adulterated Honey Discrimination with Voltammetric Electronic Tongue , 2014 .

[44]  Guangwei Geng,et al.  Enhancing determination of quercetin in honey samples through electrochemical sensors based on highly porous polypyrrole coupled with nanohybrid modified GCE , 2018 .

[45]  Manel del Valle,et al.  A review of the use of the potentiometric electronic tongue in the monitoring of environmental systems , 2010, Environ. Model. Softw..

[46]  S. Flint,et al.  Classical and novel approaches to the analysis of honey and detection of adulterants , 2018, Food Control.

[47]  I. Berregi,et al.  Quantitative determination of carboxylic acids, amino acids, carbohydrates, ethanol and hydroxymethylfurfural in honey by (1)H NMR. , 2016, Food chemistry.

[48]  Eva Domenech,et al.  A potentiometric electronic tongue for the discrimination of honey according to the botanical origin. Comparison with traditional methodologies: Physicochemical parameters and volatile profile , 2012 .

[49]  R. Zambiazi,et al.  Antibacterial and antioxidant activity of honeys from the state of Rio Grande do Sul, Brazil , 2016 .

[50]  C. Alamprese,et al.  Honey, trehalose and erythritol as sucrose-alternative sweeteners for artisanal ice cream. A pilot study , 2017 .

[51]  Graziella Scandurra,et al.  Impedance spectroscopy for rapid determination of honey floral origin , 2013 .

[52]  Cristina Medina-Plaza,et al.  Electronic Noses and Tongues in Wine Industry , 2016, Front. Bioeng. Biotechnol..

[53]  E. Doménech,et al.  Suitability of antioxidant capacity, flavonoids and phenolic acids for floral authentication of honey. Impact of industrial thermal treatment. , 2014, Food chemistry.

[54]  Gulelat Desse Haki,et al.  Rheology and botanical origin of Ethiopian monofloral honey , 2017 .

[55]  E. Llobet,et al.  Emerging approach for analytical characterization and geographical classification of Moroccan and French honeys by means of a voltammetric electronic tongue. , 2018, Food chemistry.

[56]  I. Jerković,et al.  Phytochemical and physical-chemical analysis of Polish willow (Salix spp.) honey: identification of the marker compounds. , 2014, Food chemistry.

[57]  O. Yıldız,et al.  Characterization of Anatolian honeys based on minerals, bioactive components and principal component analysis , 2016 .

[58]  Miguel Peris,et al.  Electronic noses and tongues to assess food authenticity and adulteration , 2016 .

[59]  Jun Wang,et al.  Classification of monofloral honeys by voltammetric electronic tongue with chemometrics method , 2011 .

[60]  P. Chaikham,et al.  Effects of conventional and ultrasound treatments on physicochemical properties and antioxidant capacity of floral honeys from Northern Thailand , 2016 .

[61]  Luis Gil-Sanchez,et al.  Classification of honeys of different floral origins by artificial neural networks , 2011, 2011 IEEE SENSORS Proceedings.

[62]  J. Zhao,et al.  Identification of monofloral honeys using HPLC-ECD and chemometrics. , 2016, Food chemistry.

[64]  Kiyoshi Toko,et al.  Biochemical Sensors : Mimicking Gustatory and Olfactory Senses , 2013 .

[65]  E. Doménech,et al.  Mixture-risk-assessment of pesticide residues in retail polyfloral honey , 2016 .

[66]  Goran Šarić,et al.  Rapid honey characterization and botanical classification by an electronic tongue. , 2011, Talanta.

[67]  A. Pereira,et al.  An Electrochemical Sensor Based on Electropolymerization of ß‐Cyclodextrin and Reduced Graphene Oxide on a Glassy Carbon Electrode for Determination of Neonicotinoids , 2018 .

[68]  Y. Nitta,et al.  Competitive immunochromatographic assay for leptosperin as a plausible authentication marker of manuka honey. , 2016, Food chemistry.

[69]  P. McLoone,et al.  Honey: A realistic antimicrobial for disorders of the skin. , 2016, Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi.

[70]  Antonio Riul,et al.  Recent advances in electronic tongues. , 2010, The Analyst.

[71]  Kiyoshi Toko,et al.  Advanced Taste Sensors Based on Artificial Lipids with Global Selectivity to Basic Taste Qualities and High Correlation to Sensory Scores , 2010, Sensors.

[72]  L. Estevinho,et al.  Antioxidant activity of Portuguese honey samples: Different contributions of the entire honey and phenolic extract , 2009 .

[73]  Fabio Augusto,et al.  Point-of-use electroanalytical platform based on homemade potentiostat and smartphone for multivariate data processing , 2016 .

[74]  B. Gullón,et al.  Polyphenolic profile and antioxidant and antibacterial activities of monofloral honeys produced by Meliponini in the Brazilian semiarid region , 2016 .

[75]  Paola Astolfi,et al.  Antioxidant and antimicrobial capacity of several monofloral Cuban honeys and their correlation with color, polyphenol content and other chemical compounds. , 2010, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[76]  Roberto G. Pellerano,et al.  Multivariate classification of honeys from Corrientes (Argentina) according to geographical origin based on physicochemical properties , 2016 .

[77]  R. Mendez,et al.  Electronic Noses and Tongues in Food Science , 2016 .

[78]  Ali Babaei,et al.  A new sensing platform based on magnetic Fe 3 O 4 @NiO core/shell nanoparticles modified carbon paste electrode for simultaneous voltammetric determination of Quercetin and Tryptophan , 2018 .

[79]  Minghui Zhu,et al.  Using sensor and spectral analysis to classify botanical origin and determine adulteration of raw honey , 2016 .

[80]  Kiyoshi Toko,et al.  Electronic Tongues–A Review , 2013, IEEE Sensors Journal.

[81]  C. Di Natale,et al.  Nonspecific sensor arrays ("electronic tongue") for chemical analysis of liquids (IUPAC Technical Report) , 2005 .

[82]  L. Estevinho,et al.  Comparative study of the physicochemical and palynological characteristics of honey from Melipona subnitida and Apis mellifera , 2013 .

[83]  Jinhui Zhou,et al.  Development and validation of a multiclass method for the quantification of veterinary drug residues in honey and royal jelly by liquid chromatography-tandem mass spectrometry. , 2017, Food chemistry.

[84]  P. Hebert,et al.  Rapid identification of the botanical and entomological sources of honey using DNA metabarcoding. , 2017, Food chemistry.

[85]  S. M. Osés,et al.  Comparison of methods to determine antibacterial activity of honeys against Staphylococcus aureus , 2016 .

[86]  Qiang Ma,et al.  Qualitative and quantitative detection of honey adulterated with high-fructose corn syrup and maltose syrup by using near-infrared spectroscopy. , 2017, Food chemistry.

[87]  Syed Ghulam Musharraf,et al.  Application of analytical methods in authentication and adulteration of honey. , 2017, Food chemistry.

[88]  M. Gomes,et al.  Determination of 5-hydroxymethylfurfural in honey, using headspace-solid-phase microextraction coupled with a polyoxometalate-coated piezoelectric quartz crystal. , 2017, Food chemistry.

[89]  M. Viuda‐Martos,et al.  Aroma profile and physico-chemical properties of artisanal honey from Tabasco, Mexico , 2010 .

[90]  H. Zhang,et al.  Effects of honey use on the management of radio/chemotherapy-induced mucositis: a meta-analysis of randomized controlled trials. , 2016, International journal of oral and maxillofacial surgery.

[91]  J. Quiles,et al.  Activation of AMPK/Nrf2 signalling by Manuka honey protects human dermal fibroblasts against oxidative damage by improving antioxidant response and mitochondrial function promoting wound healing , 2016 .

[92]  G. Stojanović,et al.  Chemical composition and screening of the antimicrobial and anti-oxidative activity of extracts of Stachys species , 2010 .

[93]  Christian Fernandes,et al.  Multiclass method for pesticides quantification in honey by means of modified QuEChERS and UHPLC-MS/MS. , 2016, Food chemistry.

[94]  Z. Aziz,et al.  The effects of honey compared to silver sulfadiazine for the treatment of burns: A systematic review of randomized controlled trials. , 2017, Burns : journal of the International Society for Burn Injuries.

[95]  Hacer Kobya Bulut,et al.  Honey prevents oral mocositis in children undergoing chemotherapy: A quasi-experimental study with a control group. , 2016, Complementary therapies in medicine.

[96]  Stefan Bogdanov,et al.  Physico-chemical and bioactive properties of different floral origin honeys from Romania , 2009 .

[97]  Bipan Tudu,et al.  Identification of monofloral honey using voltammetric electronic tongue , 2013 .

[98]  J. Soto,et al.  Antioxidant activity and physico-chemical parameters for the differentiation of honey using a potentiometric electronic tongue. , 2017, Journal of the science of food and agriculture.

[99]  Paulina Wiśniewska,et al.  Food analysis using artificial senses. , 2014, Journal of agricultural and food chemistry.

[100]  Abdul Hamid Adom,et al.  Enhancing Classification Performance of Multisensory Data through Extraction and Selection of Features , 2012 .

[101]  Bai Weidong,et al.  Highly Sensitive Molecularly Imprinted Sensor Based on Platinum Thin-film Microelectrode for Detection of Chloramphenicol in Food Samples , 2017 .

[102]  M. Díaz-Maroto,et al.  Effect of geographical origin on the chemical and sensory characteristics of chestnut honeys , 2010 .

[103]  A. Oryan,et al.  Biological properties and therapeutic activities of honey in wound healing: A narrative review and meta-analysis. , 2016, Journal of tissue viability.

[104]  Manel del Valle,et al.  Hybrid electronic tongue based on multisensor data fusion for discrimination of beers , 2013 .

[105]  G. Krissansen,et al.  Correlation of the immunostimulatory activities of honeys with their contents of identified bioactives. , 2017, Food chemistry.

[106]  E. Ribechini,et al.  Development and validation of an HPLC-DAD and HPLC/ESI-MS2 method for the determination of polyphenols in monofloral honeys from Tuscany (Italy) , 2016 .

[107]  Jian-Rong Cai,et al.  Determination of Chinese Angelica honey adulterated with rice syrup by an electrochemical sensor and chemometrics , 2013 .

[108]  Jun Wang,et al.  Discrimination of Honeys by Electronic Tongue and Different Analytical Techniques , 2009, 2009 2nd International Congress on Image and Signal Processing.

[109]  M. Pistonesi,et al.  “In-situ” antimony film electrode for the determination of tetracyclines in Argentinean honey samples , 2017 .

[110]  Eduardo García-Breijo,et al.  An Embedded Simplified Fuzzy ARTMAP Implemented on a Microcontroller for Food Classification , 2013, Sensors.

[111]  Maria Luz Rodriguez-Mendez,et al.  Multivariate calibration transfer between two different types of multisensor systems , 2017 .

[112]  R. Romvári,et al.  NIR detection of honey adulteration reveals differences in water spectral pattern. , 2016, Food chemistry.

[113]  A. Dueck,et al.  A Randomized Phase 2 Trial of Prophylactic Manuka Honey for the Reduction of Chemoradiation Therapy-Induced Esophagitis During the Treatment of Lung Cancer: Results of NRG Oncology RTOG 1012. , 2017, International journal of radiation oncology, biology, physics.

[114]  Yangping Wen,et al.  Imprinted voltammetric streptomycin sensor based on a glassy carbon electrode modified with electropolymerized poly(pyrrole-3-carboxy acid) and electrochemically reduced graphene oxide , 2017, Microchimica Acta.

[115]  I. El-Sherbiny,et al.  The effect of increasing honey concentration on the properties of the honey/polyvinyl alcohol/chitosan nanofibers. , 2016, Materials science & engineering. C, Materials for biological applications.

[116]  Nuno Rodrigues,et al.  Evaluation of extra-virgin olive oils shelf life using an electronic tongue—chemometric approach , 2017, European Food Research and Technology.

[117]  L. Vorlová,et al.  Adulteration of honey and available methods for detection - a review , 2014 .

[118]  Ana Paula Craig,et al.  Physico chemical and bioactive properties of honeys from Northwestern Argentina , 2011 .

[119]  M. Al-Ghobashy,et al.  Development and validation of a modified QuEChERS protocol coupled to LC-MS/MS for simultaneous determination of multi-class antibiotic residues in honey. , 2016, Food chemistry.

[120]  A. C. Veloso,et al.  Electronic tongues and aptasensors , 2017 .

[121]  Djebli Noureddine,et al.  The Influence of Botanical Origin and Physico-chemical Parameters on the Antifungal Activity of Algerian Honey , 2012 .

[122]  R. Perestrelo,et al.  Establishment of authenticity and typicality of sugarcane honey based on volatile profile and multivariate analysis , 2017 .

[123]  F. Xavier Rius,et al.  Multivariate standardization for correcting the ionic strength variation on potentiometric sensor arrays , 2000 .

[124]  Heikki Kallio,et al.  NMR profiling clarifies the characterization of Finnish honeys of different botanical origins , 2016 .

[125]  Du Bing,et al.  Recent advancements in detecting sugar-based adulterants in honey – A challenge , 2017 .

[126]  R. Bandyopadhyay,et al.  Voltammetric sensor for electrochemical determination of the floral origin of honey based on a zinc oxide nanoparticle modified carbon paste electrode , 2018 .

[127]  Roberto Paolesse,et al.  Extending electronic tongue calibration lifetime through mathematical drift correction: Case study of microcystin toxicity analysis in waters , 2016 .

[128]  Square wave voltammetry with multivariate calibration tools for determination of eugenol, carvacrol and thymol in honey. , 2016, Talanta.

[129]  Francesco Leone,et al.  Botanical origin identification of Sicilian honeys based on artificial senses and multi-sensor data fusion , 2017, European Food Research and Technology.

[130]  F. X. Rius,et al.  Multivariate standardization techniques on ion-selective sensor arrays , 1999 .