Abstract
The safety and quality of any food product is a primary concern. Adulteration of honey increases day by day in the market. Authentication is very important to confirm purity. Honey is a natural food product that is ready to eat with a high nutritional value which provides several health advantages. Adulterations of honey with sugar or syrups are common practice. Chemical tests and different analytical techniques are used to detect the adulterant in honey. Diverse ranges of the analytical techniques are employed for the analysis of honey-like chromatography, electro-analytical methods, and spectrophotometer technique. Estimation of adulterants even in low quantity can be detected by sophisticated instrument. Analysis in every step is required—part of preliminary screening, processing, and product standards. Most of the analytical methods provide information of pollen distribution, physicochemical parameters, and profile analysis of phenolic, flavonoid, carbohydrate, amino acids, aroma, and individual marker components.
Access provided by Autonomous University of Puebla. Download chapter PDF
Similar content being viewed by others
Keywords
6.1 Introduction
Honey has been used by human beings since ancient times. Sumerian tablet was a written evidence found in 2100–2000 BC (Crane 1975) “A natural sweet substance formed by bees (Apis mellifera) from a different source of plants like nectar, living parts, and excretion, collect it and transform by combining with specific substances of their own” defined by the European Union (European Commission 2002; Zielinski et al. 2014). Classified honey based on origin, harvest, and process. Further, based on origin, it is categorized into blossom, honeydew, monofloral, and multifloral kinds of honey. Honey obtained through the nectar of flowers was named blossom honey, and honeydew is formed by bees from plant saps. Monofloral honey has more than 45% of the total pollen content of single species of plant. Honey is also classified on the basis of sources such as plant-like citrus, manuka, and acacia honey (Alvarez-Suarez et al. 2010b). The botanical source of multifloral or polyfloral honey is meadow and forest. Based on the secretion of plants, honey can be categorized in to blossom honey produced from nectar of flower and honeydew made from secretions of all livings parts other than flowers. The botanical origin of nectars and secretion of plants are the chief concern of honey’s composition and its properties, and carbohydrate is the main constituents (Bertelli et al. 2010).
6.1.1 Chemical Composition
The main ingredient of honey is carbohydrate; dextrose and laevulose are two important sugars, and several other sugars are there in small fraction including disaccharides and trisaccharides. Examples of disaccharides are maltose, sucrose, maltulose, turanose, isomaltose, laminaribiose, nigerose, kojibiose, gentiobiose, and trehalose, and examples of trisaccharides are maltotriose, erlose, melezitose, 1-kestose, isopanose, isomaltotriose, panose, and endorse. All different kinds of plants have these sugars in small quantities (Bogdanov et al. 2004). Apart from sugars, many kinds of organic acids exist, for example, gluconic, lactic, formic, butyric, tartaric, pyruvic, acetic, citric, oxalic, succinic, malic, maleic, α-ketoglutaric, glucose-6-phosphate, pyroglutamic, and glycolic acid. The most common acid is gluconic acid that is formed from oxidation of glucose’s first carbon by the enzyme glucose oxidase. The presence of an enzyme in honey makes it unique in a contest of a medicinal point of view. Yeasts, nectar, pollen, bee, and microorganisms are sources of enzyme. Key enzymes are glucose oxidase, catalase, acid phosphatase, invertase, and diastase. Enzyme activities are destroyed on heating (Hebbar et al. 2003).
The physical and biological properties depend upon the quality and quantity of organic acids; role of enzymes are cardinal. Mineral contents are the influencing factor for storage; rich contents are less suitable at low temperature. Honey of floral origin has mineral content varying from 0.02 to 0.1% (Olga et al. 2012). Quality of honey concerning nutritional, granulation, flavor, texture, and its medicinal value are controlled by the presence of ingredient such as moisture content, reducing sugars, electrical conductivity, free acids, sucrose content, and hydroxymethylfurfural (HMF). For the production of honey in industry, physicochemical properties are very important. The International Honey Commission (IHC) imposed fixed composition to maintain the quality of honey. The chief ingredient is sugar, 95% weight. It is a complex mixture of concentrated sugar solution and has main ingredients fructose and glucose (Aljadi and Kamaruddin 2004). Ratio of glucose to fructose in any kind of honey depends upon the nectar’s source. Other bioactive substances like organic acids, proteins, amino acids, minerals, polyphenols, vitamins, and aroma also have impact on the quality of honey (Ferreira et al. 2009; Ramanauskiene et al. 2012). Taste and color qualities of honey come up with the presence of sugars, amino acids, minerals, and phenolic compounds, but aroma is because of volatile substance presence. The percentage of protein reported in different kinds of honey with a small portion of enzymes is less than 0.5% (Yao et al. 2005).
To maintain the quality, a directive requirement is necessary for the standard composition by the regulatory bodies. At the international level, the Codex Alimentary Standard commission (FAO 1981) imposed the compositional criteria, i.e., fixed the acidity, apparent reducing sugar, 5-hydroxymethylfurfural (HMF), mineral content, moisture, and water-insoluble solids (Belay et al. 2013). In an acidic environment, a chemical reaction takes place reducing sugars and giving HMF. The level of HMF deciding the age and overheating of the honey, its concentration fixed by regulatory bodies with a highest limit of 40 mg/kg exception, 80 mg/kg for tropical honey.
6.1.2 Biological Activities
Honey has several biological properties such as antimicrobial, antiviral, anti-inflammatory, wound and sunburn healing, antioxidant, antiparasitic, antidiabetic, antimutagenic, and anticancer activities (Gomes et al. 2010). Pharmacological study research by a team of scientist reported that natural honey has the potential to cure gastric and cardiovascular disease without an increase in body weight, apart from these observed advantageous effects on fertility by enhancing the effects of hormones related to fertility (Alvarez-Suarez et al. 2010a; Mosavat et al. 2014). Patients of type I and II diabetes are advised to take honey because of its lower glycemic index value. Uses of honey by diabetic patients find pharmacological change that helps to cure the disease, raise the hemoglobin level, restore secretion of insulin, reduce blood glucose level, and refine lipid profile. The phenolic content of honey establishes antioxidant properties and intensity of color reported by the researcher (Piljac-Žegarac et al. 2009). Other therapeutic effects exhibited by honey are anticarcinogenic, anti-inflammatory, antiatherogenic, antithrombotic, immune-modulating, and analgesic activities because of phenolic contents (Yaghoobi et al. 2008). Athletes generally take honey as a source of energy. Infection by bacteria either gram-positive or gram-negative including aerobes and anaerobes is studied in around 60 types. Treatment of such bacterial infection by honey has been reported (Molan 2006). In Egypt, back to 1553–1550 BC, medical practitioners uses honey for the treatment of wound, urination, and obesity. Similarly, Galen, a renowned physician prescribed honey to cure the disease of poisoning and intestinal disturbance. Honey was prescribed by the greatest medical authority of medieval times Ibn-Sina (Ave-Sina) to cure the diseases like runny nose, digestion of food, improve appetite, boost up the memory power, increase the blood circulation, and enhance the intelligence. Advanced research published that honey can cure several diseases and boost up the immune system of the body. A balanced composition of various content improves the resistance against the pathogenic organism. Intestinal infection caused by nematodes, including ascariasis and hookworm is also cured by honey (Sajid and Azim 2012). The presence of glycoproteins and peptides are responsible for immunomodulatory properties which exhibit as these molecules are interfering with the innate immune system in humans (Mesaik et al. 2014). The nutritive and medicinal values of natural honey with unique flavor make it very expensive and demanding. To fulfil the requirements of the consumer with low cost leads to adulteration. Used adulterants are very difficult to detect; they replace the natural properties and finally lead to decreasing both nutritive and medicinal values. Thus, global authenticity is a very important concern for the consumer as well as the manufacturer.
6.2 Adulteration
Adulteration makes the quality poorer, as well as the safety of the product is questionable. The adulterants are chemical substances, which lower the medicinal and nutritive values which harm human beings; almost 128 chemicals are reported as adulterants. In the market, adulterants available are generally starch syrup, inverted syrup, starch or inverted syrup fed to bees, and in some places low-grade honey is mixed with standard quality of honey. The process of adulteration may be a direct or indirect method. If a substance is directly added to honey, it is called direct method, and when honey bee is fed with chemicals and industrial sugars, it is called indirect method. So the detection of adulterants added through indirect method is very difficult as compared to adulterants added through direct method (Fig. 6.1). Examples of industrial sugar as adulterants that are frequently used are high fructose corn syrups (HFCS), high fructose insulin syrups (HFIS), invert syrups (IS), and corn syrups (CS). Syrup and invert sugar adulterants have been used which are chemically similar to a pure substance in which the concentration of honey is increased and is very difficult to detect. In quality control by the analyst, it is very difficult to determine the differences between pure and adulterated honey by analytical methods (Mehryar and Esmaiili 2011). Rice syrup as adulterants is also available in the market.
6.3 Authenticity
Presently, few authorities like Codex Alimentarius standard, the EU Honey Directive, and other legislations work at the national level to regulate the food authenticity. But, growing business globally and its medicinal uses require making an international standard regulation for authenticity. For the perfect authenticity of honey, we need to focus on two important points, first is its origin and second is the mode of production. Origin of honey may be either geographical or botanical while its production is defined by the way of harvesting and processing. The regulatory bodies International Honey Commission lately examined the Codex Alimentarius (CA) standards and European Community standards. In several countries, few adulterants are very easily available for adulteration in the market such as cheaper sweeteners from beet or canes like corn syrups (glucose), high fructose corn syrup (HFCS), saccharose syrups, and invert sugar syrups (Tosun 2013). Artificial honey is also manufactured in several places in the world adulterated with bee feeding of sugars or syrups (Bogdanov and Gallmann 2008). Monofloral honey has high market value as it is recognized by the consumer, but it is adulterated with cheaper multifloral honey (Soares et al. 2015). Authenticity of honey, and to find out its purity, is a very important task. The purity of honey must be checked by the processors, retailers, consumers, and regulatory authorities in every step by analytical methods followed by the regulation of regulatory bodies at national and international levels.
6.4 Detection Methods and Techniques
Authentication of honey of botanical origin by classical approach is common practice and monofloral origin by sensory and physicochemical analyses; melissopalynological analysis examines floral pollen grains in honey by microscopic origin (Bogdanov et al. 2004). Many factors are responsible for fraction of pollen content in honey such as species of plant, collection time, and nectar yield from a male or female flower. Pollen is sometimes collected from the bee’s honey sac and illegally added to honey (Donarski et al. 2008). This method is not sufficient for the identification, but it has to be analyzed by the sensory method and physicochemical characteristics as pollen contents have some natural variation. Authentication with this method is a very tedious job, and numbers of physicochemical parameters are obligatory for the characterization. Classical authentication techniques have a limitation; modern analytical techniques are used to find out the origins of honey which is more reliable. Modern instruments like liquid chromatography and mass spectrometer (LCMS), infrared spectrometer, Raman spectrometer, nuclear magnetic resonance (NMR), and flame ionization detectors (FID) or sensor arrays are used. Research has been reported that adulterants like exogenous sugars or the addition of sugar syrups have been detected by different analytical techniques (Baroni et al. 2006). Sugar composition of honey is studied by high-performance liquid chromatography (HPLC) and chemometric method. Volatile composition and floral origin are determined by solid-phase microextraction (SPME) and gas chromatography coupled with mass spectrometry (GC–MS) (Baroni et al. 2006). By chemometric analysis, principal component analysis (PCA) and linear discriminate analysis (LDA) have been employed to estimate the controlling variables and, a likeness of honey samples. The molecular genetics approach is used to find out the composition, and geographical and entomological origins of honey (Chin and Sowndhararajan 2020) (Fig. 6.2).
6.4.1 Qualitative Physicochemical Analysis for Honey Identification
Honey quality is based on physicochemical parameters; it could be useful for the assessment of its origin. Routine determination of physicochemical parameters, water content, electrical conductivity, sugar content, fructose/glucose ratio, enzyme activity, color, ash value, optical rotation, pH value, acidity, and hydroxymethylfurfural (HMF) content is commonly used for both QC and processing control of honey. Several factors influence the final values of these parameters in honey. For water content, the most important factor is air humidity. The self-life of honey degrades when the content of water is high, low density, and high electrical conductivity. The density of honey is influenced by water content, lesser density in high water content and vice versa, less than 5% sucrose in honey indicates good quality of honey, and if the percentage is more than 5%, it indicates sucrose may be unripe and it is not completely converted by enzyme invertase into glucose and fructose (Ouchemoukh et al. 2007).
Quality indicators of honey, i.e., invertase activity, diastase, and HMF indicate freshness and overheating of honey. The presence of low quantity diastase indicates low natural amylase in honey (Pasias et al. 2017). The purity of honey is checked by the presence of HMF, higher content indicates overheated, aged, and the duration of storage is long and in poor condition. Recommended standard is (80 mg/kg). The self-life of honey is 1 year and should be consumed (Khalil et al. 2010). Mineral content determined the electrical conductivity (EC), its value varies from region to region, for example, the values of electrical conductivity are 4.18 and 1.98 ms/cm for geographical regions Yemen and Egypt, respectively, and 0.53 and 0.67 ms/cm for Saudi and Kashmir, respectively (El Sohaimy et al. 2015). Acidity is because of the presence of gluconic acid, esters, lactones, and inorganic ions of chloride and phosphate, and the pH value of honey varies as the season of extraction varies. The pH values below 3.5 spoilage the honey. The pH value of fresh honey is 4.1–4.6, and the standard range is 3.4–6.1 (Codex Alimentarius 2001). Conversion of sugar into organic acid is fermentation; in such condition, the acidic value of honey is high, and acidity of honey influences the microbial spoilage and sustains honey flavor.
6.4.2 Microscopic Analysis of Pollen Grains
The subject, learning for pollen grains and spores is called palynology (early branch is called Melissopalynology). Resin, nectar, water, and pollen are a source of energy for the honeybee. In pollens, the amounts of protein, minerals, vitamins, and fats are abundant. To know about the origin of honey, either it is geographical or botanical, the fingerprint of pollen and honeydew elements are very helpful. With microscope pollens, it can be identified, and traditionally it is used for quality analysis (Hermosín et al. 2003). The procedure adopted for microscopic analysis is weigh accurately 10 g of honey and dissolve in a volume of 20 mL warm water (40 °C) after that at 2000 rpm centrifuge for two times for a duration of 10 min. Dregs are taken out, dried, put on a slide having chemical glycerin, gelatin, and stained with fuschin alcohol solution. Observe this slide under a microscope for the examination of pollen. This analysis indicates only morphological characteristics, not genus or species. Results of the study are analyzed and categorized into four types: very frequent, frequent, rare, and sporadic percentage of pollen in each category is 45%, 16–45% 3–15%, and less than 3%, respectively. Microscopic analysis along with physicochemical analysis is very helpful to recognize the standard of honey for the business purpose (Louveaux et al. 1970).
6.4.3 Detection of Adulterants by Microscope
A routine practice to detect the adulterants by a microscope is a classical method. Adulterants like cane sugar and acid hydrolyzed cane sugar syrup,in cane sugar, epidermis cells and single rings of ring vessel particles are present along with sugar cane starch and sclereids. With microscopic analysis, other instrumental techniques like HPLC are used for the estimation of glucose, sucrose, fructose, and HMF along with the determined the value of pH, water content, and electrical conductivity that is very helpful to find out the adulterants (Kerkvliet et al. 1995). Chemical analysis data reveal whether the honey is adulterated or heated. Qualitative physiochemical analysis for honey identification is presented in Table 6.1 (Sadasivam and Manickam 1996; Patil 2016).
6.4.4 Analytical Technique
Spectroscopic techniques are quick and noninvasive and do not require tedious sample preparation, which often involves laborious work and consumption of large amounts of organic solvents, reagents, and time. Therefore, they can be considered a green analytical alternative. The noninvasive nature of spectroscopic techniques allows investigation of intact food samples, which is particularly appropriate for high-throughput screening, especially in commercial production plants quality control.
Classical techniques have limitations for authentication; advanced analytical techniques have adopted for the examination of botanical and geographical origins of honey. Also, carbohydrate profile, mineral content, aroma profiles, and phenolic and flavonoid composition were studied (Ouchemoukh et al. 2010; Jerkovic et al. 2009). Chromatographic techniques like thin-layer chromatography (TLC) employed for amino acid determination. Gas chromatography (GC) and high-performance liquid chromatography (HPLC), high-performance thin-layer chromatography (HPTLC), and high-performance anion-exchange chromatography-pulsed amperometric detection (HPAEC-PAD) were used for the estimation of adulterants like high fructose corn syrups (HFCS) and corn syrups (CS) in the sample (Verzera et al. 2014). The analytical methods also used for the determination of adulterant are differential scanning calorimetry (DSC), electrochemical analysis, enzymatic methods, vibrational spectroscopy like mid-infrared (MIR), near-infrared (NIR) spectroscopy, Raman techniques, isotope ratio mass spectrometry coupled with an elemental analyzer, low-field nuclear magnetic resonance, stable isotope analysis, and others such as flame ionization detectors (FID) or sensor arrays (Wang et al. 2010; Kropf et al. 2010). In developing countries, microscopic analysis is a method of choice, and modern analytical techniques are bearable. Apart from the discussed technique, several special methods are used to find out the adulterants like three-dimensional fluorescence spectroscopy (3DFS) coupled with multivariate calibration, electronic honey quality analyzer, fiber-optic displacement sensor (FODS), and an electronic tongue. Detection and estimation of adulterants in the sample are very easily performed with adulterant kits, development for an enzyme label, which can make a difference in the color of the sample matrix (Table 6.2: important merits and demerits of analytical techniques).
6.4.4.1 Infrared Spectroscopy
Infrared spectrometer is a very useful technique for honey sample analysis. Some research has been reported. Infrared different vibration range was employed for the estimation of honey in botanical origin, eight monofloral and polyfloral honey sample authenticated by near-infrared spectrometer also, performed a quantitative examination of various type of sample. FTIR and chemometrics were used for botanical origin studies (Ruoff et al. 2005; Kelly et al. 2004). Fourier transform infrared spectrometer (FTIR) with attenuated total reflectance (ATR) is used for the determination of various food parameters. Organic compounds present in honey give signals in the range MIR (4000–400 cm−1) and NIR (10,000–4000 cm−1) originate from the vibrational and rotational modes (stretching, bending, and rotating). The signals that originate due to NIR are complex overtones and high-frequency combinations of fundamental vibrations at shorter wavelengths. The wavelength range of MIR gives sharper, resolved, and informative peaks which indicate the botanical and geographical origins reported by Ruoff et al. FT-MIR gives more efficient information of 11 types of unifloral (acacia, alpine rose, chestnut, dandelion, heather, lime, grape, fir honeydew, metcalfa honeydew, and oak honeydew) and polyfloral kinds of honey (n = 411 samples; 15). The characteristic spectral line between 800 and 1500 cm−1 is observed. Spectra of various samples of honey correspond to the C–O and C–C stretching regions of the saccharides between 950 and 1050 cm−1 (Wu et al. 2017). IR spectroscopy and Raman spectroscopy have a disadvantage: during the analysis of the sample, the duration exposed to heat may lead to sample destruction. Overcome such problem by adopting a procedure to expose less irradiation duration and increasing the number of the scan experimented attenuated total reflection (ATR). Prominent absorption lines in the mid-IR region indicate the presence of water in the samples. The botanical origin of honey is indicated by FTIR spectroscopy and attenuated total reflection (ATR) sampling technique (de la Mata et al. 2012). Differentiate HFCS-adulterated and unadulterated honey by spectra obtained through fiber optic diffuse reflectance NIR spectrometer acquired within the 10,000–4000 cm−1 range. A perfect PLS model used to differentiate pure and adulterated honey samples is within the range of 6000–10,000 cm−1 (Chen et al. 2011).
6.4.4.2 Nuclear Magnetic Resonance (NMR)
For structure determination, this instrument is best for different organic compounds present in honey sample and gives a better understanding of the complex structure (Cazor et al. 2006). Compare to the other analytical technique, NMR provides better information about the sample composition and metabolites also, have property noninvasive nature, the relative ease and rapidity of data execution in a single run (Ribeiro et al. 2014). Data produced by NMR extract useful information with multivariate analysis, several published paper indicate methods which are useful to categorize honey samples according to their botanical origin. NMR analysis performed as per the demand several choices are available such as principal component analysis (PCA), hierarchical cluster analysis (HCA), K-nearest neighbor (KNN), soft independent modeling of class analogies (SIMCA), and orthogonal PLS (OPLS)-DA. In addition to the one-dimensional (1D) technique, two-dimensional (2D) NMR experiments were also employed for the analysis (Lolli et al. 2008). Five types of botanical origin (robinia, chestnut, citrus, eucalyptus, and polyfloral) honey have been differentiated by 1H-NMR and heteronuclear multiple-bond correlation (HMBC) experimented by taking 72 honey samples. Developed general DA models that had cross-validation accuracy rates of 92% in the case of D2O 1H–13C HMBC spectra and 97% in the case of DMSO-d6 1H–13C HMBC spectra (Simova et al. 2012). 1H- and 13C-NMR analyzed, confirmed the protons and methylene group carbon in quercitol on TOCSY spectroscopy for the given sample. Honey sample of oak honeydew is differentiated from the other honey sample by the presence or absence of quercitol. 1H-NMR is more useful as compare to 13C-NMR because of sensitivity is high. 13C-NMR technique is employed for the estimation of saccharides in authentic Greek honey samples, a method which was developed for the estimation has been validated as according to ICH guideline, performed experiment for validation on accuracy, linearity, range, limit of detection, etc. The samples taken have either single sugar molecules or artificial mixtures of isoglucose (glucopyranose and fructose) (Kazalaki et al. 2015). Monofloral honey ingredients like carboxylic acids, amino acids, ethanol, and hydroxymethylfurfural estimated by 1H-NMR (Beretta et al. 2009). Various samples from different botanical origin were analyzed by HPLC-DAD-ESI-MS and multidimensional diffusion-ordered (DOSY) NMR, and ingredients like quinoline alkaloids and the biosynthetic precursor, i.e. kynurenic acid (KA), have been estimated. Concentration level of quinoline alkaloids distinguishes chestnut honey from others (Cho et al. 2015).
6.4.4.3 Hyphenated Technique (Mass Spectrometer Coupled with Chromatography Techniques)
The semi-volatile and volatile substances in honey separated and identified by LC–MS and GC–MS techniques. Flavor of honey-based on the concentration of volatile substance and its variation in concentration are related to floral origin. Estimation of these substances by technique headspace (HS) solid-phase micro-extraction (SPME) (Escriche et al. 2011), with this technique followed by GC–MS of various volatile substances, is identified and quantified in a different honey sample. Various types of samples were analyzed: 35 volatile components (Spanish honey), 62 compounds (Greek honey), 31 compounds (16 samples from European countries), and 26 compounds (70 authentic Turkish honey) (Alissandrakis et al. 2007; Senyuva et al. 2009). Italian thistle honey was analyzed by the HS-SPME method, and 40 volatile compounds were characterized and reported by Bianchi et al. (2011). HS-SPME/GC-MS extended with chemometric studies to estimate the organic volatile compounds, and 42 unifloral samples of five floral origins were studied (Spanik et al. 2014). SPME-GC-MS instrument used for the investigation of volatile consituents have chiral carbon. Flavonoid component of honey was studied using TLC–MS diode array detection system and electrospray ionization mass spectrometry (LC–DAD–ESI/MS). Seven types of Slovenian honey samples were extracted by solid-phase method followed by liquid chromatography, and their botanical origin was reported. Different types of honey-like strawberry tree honey, chaste honey, and rape honey studied floral origin by the high-performance liquid chromatography–diode array detection–tandem mass spectrometry (HPLC–DAD–MS/MS) method (Zhou et al. 2014). Floral markers such as kaempferol, morin, and ferulic acid are used to distinguish chaste honey from rape honey (Oelschlaegel et al. 2012). Ultra-performance liquid chromatography–photodiode array detection–mass spectrometer (UPLC–PDA–MS/MS) had been used to examine the volatile composition of Manuka honey sample; solid-phase extraction was first performed. Constituents like kojic acid, unedone, 5-methyl-3-furan carboxylic acid, 3-hydroxy-1-(2-methoxyphenyl) penta-1,4-dione, and lumichrome were identified in Manuka honey sample. Advanced technique ultra-performance liquid chromatography–quadrupole/time of flight mass spectrometry (UPLC–Q/TOF-MS) was used to detect phenolic acids and flavonoids based on the retention time of individual compound of a sample; sunflower, lime, clover, rape, and honeydew were extracted with solvent ethyl acetate (Trautvetter et al. 2009).
6.4.4.4 Inductively Coupled Plasma–Mass Spectrometry (ICP–MS)
Atomic absorption spectrometric technique is one of the key instruments used for food analysis. This technique is very popular in the food industry. This instrument is used for the estimation of multiple elements in the sample, and the advantage is that very high sensitivity detects low-level concentration elements. Brazilian kinds of honey of the geographical origin have been analyzed by ICP-MS with combination data mining approaches (Batista et al. 2012).
6.4.4.5 Stable Isotopic Ratio Mass Spectrometry (SIRMS)
This analytical technique used for the detection of more sophisticated adulterations. The method is based on the differences in the metabolic enrichment of the 13C isotope due to the different photosynthetic pathways of the C3 and the C4 plants. The slower-reacting 13CO2 is depleted to a larger extent in C3 plants than in C4 plants during CO2 fixation, making it possible to detect the addition of cheap C4 sugar because of its different δ13C value (i.e., the 13C/12C isotope ratio related to Vienna Pee Dee Belemnite as a standard reference material, expressed as a percentage; 100). The method was later improved by using the isolated honey protein as an internal standard, which enhanced sensitivity and lowered the LOD for C4 sugars from around 20 to 7%. However, the main drawbacks of this technique are the impossibility to detect the addition of C3 syrups, which is why their fraudulent use is on the rise and the working hypothesis that assumed a correlation between the floral origins of honey and its proteins (Cotte et al. 2007). The δ13C value indicates the adulteration, the addition of C4 sugar in pure honey changes the value of δ13C, if it is less negative than 23.5, it indicates to be adulterated (Padovan et al. 2003).
6.4.4.6 Chromatographic Methods
Chromatographic techniques provide reliable separation and quantification of macro and micro components of highly similar chemical structures in complex matrixes such as food products. The chromatographic fingerprint profile is a well-established assay of authenticity concerning botanical and geographical origins of honey. Fingerprint analysis can be defined as a set of characteristic chromatographic signals leading to sample pattern recognition (classification). However, authentication of adulteration is usually done by matching measured compound profiles with predetermined target values. In these studies, LC was applied for the identification of proteins, amino acids, carbohydrates, vitamins, phenolic compounds, triglycerides, chiral compounds, and pigments, whereas GC was used for the analysis of naturally volatile or semi-volatile molecules (Doner et al. 1979). Maltose/isomaltose ratios in different kinds of honey and high fructose corn syrup were determined using gas chromatographic (GC) method.
6.4.4.7 High-Performance Thin-Layer Chromatography (HPTLC)
HPTLC gained very high popularity for the authentication of honey and has an advantage over the other chromatography like GC and HPLC because it is easy to handle and low-cost and has the ability to simultaneously analyze multiple samples on the same plate. Automation increases precision and accuracy of the developed method. By this technique, authenticity of honey production is confirmed, but it is not possible to authenticate the botanical or geographical origin (Morlock and Schwack 2008). Puscas et al. reported adulterants in several samples of Romanian kinds of honey by high-performance thin-layer chromatography (HPTLC) combined with image analysis. In several honey, estimated proline, leucine and phenylalanine and their enantiomeric ratios by HPTLC (Rizelio et al. 2012).
6.4.4.8 High-Performance Liquid Chromatography (HPLC)
Estimation of phenolic and amino acid component experimented by this analytical technique which is used for the assessment of its authenticity (floral and geographical origins). Campone et al. (2014) analyzed the honey sample reported 5 phenolic acids and 10 flavonoids used dispersive liquid-liquid microextraction followed by HPLC analysis. This chromatographic technique developed chromatogram providing very complex information which is helpful to differentiate whether the honey is of botanical, geographical, or entomological origin. The performance of this analysis is increased when this instrument is coupled with MS (Zhou et al. 2014). Determination of phenolics compounds in honey needs to be performed with several steps like isolation from a sample matrix, analytical separation, identification, and quantification.
6.4.4.9 High-Performance Anion Exchange Chromatography (HPAEC)
Carbohydrate is one of the main constituents present in honey, and this analytical tool is very powerful because of its ability to separate all classes of aldols, amino sugar, and mono-, oligo-, and polysaccharides based on their structural features such as size, composition, atomicity, and linkage isomerism. Adulterants, structurally based on carbohydrate, are detected by HPAEC–PAD instruments. HPAEC profiles of polysaccharides are also used for the detection of adulteration with CS after pretreatment of the sample with reversed-phase SPE to remove monosaccharides and small oligosaccharides, and to concentrate traces of polysaccharides.
6.4.4.10 Gas Chromatography (GC)
It is a technique used to analyze volatile organic components (VOCs); mono-, di-, and trisaccharides; and pesticide residues in honey. In the majority of studies evaluating the authenticity of honey, GC was combined with MS to identify different substances within a test sample. GC is also a suitable technique for the detection of honey adulteration due to its relatively high resolution and sensitivity for the determination of mono-, di-, and trisaccharides. A literature survey revealed that GC was used mainly for the detection of honey adulterations carried out by the addition of sugar syrups such as HFCS, CS, and IS (Zhou et al. 2014).
6.4.4.11 Electrochemical Methods
These techniques provide a high level of sensitivity and selectivity, although some of them require cumbersome sample preparation steps. Electrochemical techniques are as fast, simple, and cheap as some of the already-mentioned techniques; however, they also provide valuable information about the redox properties of honey constituents. Therefore, they have been extensively applied in the honey analysis.
6.4.4.12 Voltammetry and Electronic Tongue
Several advantages, such as high sensitivity, versatility, simplicity, and robustness, make voltammetry a powerful electroanalytical technique. So far, cyclic, stripping, pulse, and alternating current voltammetry methods have been developed by a significant number of researchers for the analysis of different organic and inorganic compounds, as well as antioxidative activity. The electronic tongue (e-tongue) is a novel device consisting of arrays of nonselective gas or liquid sensors coupled with pattern recognition software. The e-tongue analyzes the complex natural sample as a whole without the need for separating it into simpler components. So far, there are just a few papers related to the determination of the botanical origin of honey using an e-tongue. Eight different botanical types of honey and five geographically different acacia kinds of honey were classified using an e-tongue in combination with PCA, HCA, and artificial NNs (105). Voltammetric e-tongue (VE-tongue) has been composed of six working electrodes (gold, silver, platinum, palladium, tungsten, and titanium) in a standard three-electrode configuration and is used for the classification of various kinds of monofloral kinds of honey-based on multifrequency large amplitude pulse.
6.4.4.13 Electrophoresis
Proteins are found as minor components in honey and originate from honey bees, plants, pollen, and nectar. Electrophoresis, although rarely applied as an electrochemical technique in honey analysis, provides the simultaneous analysis of a large number of samples under the same conditions. In 1987, the first silver-staining sodium dodecyl sulfate (SDS) polyacrylamide gel electrophoresis (PAGE) method was described by Marshall and Williams (109) for the detection of 19 protein bands in Australian kinds of honey of different plant origins. Baroni et al. (2002) reported a novel analytical method for the assessment of floral origin in kinds of honey-based on the study of proteins using SDS-PAGE. The authors used honey proteins as chemical markers for the floral origin of eucalyptus honey. They also found that pollen from different plants could be significantly differentiated through SDS-PAGE coupled with DA (110).
6.4.4.14 Capillary Electrophoresis (CE)
This is becoming a popular electroanalytical technique for the separation and identification of phenolic compounds, carbohydrates, amino acids, organic acids, and cations in honey. High speed, resolution, simplicity, low operating costs, and short analysis times make CE an alternative technique to HPLC for the analysis of different target compounds in honey. Also, MS in combination with CE provides a high level of sensitivity and selectivity.
References
Alissandrakis E, Tarantilis PA, Harizanis PC, Polissiou M (2007) Comparison of the volatile composition in thyme honeys from several origins in Greece. J Agric Food Chem 55:8152–8157
Aljadi AM, Kamaruddin MY (2004) Evaluation of the phenolic contents and antioxidant capacities of two Malaysian floral honeys. Food Chem 85:513–518
Alvarez-Suarez JM, Tulipani S, Diaz D, Estevez Y, Romandini S, Giampieri F (2010a) Antioxidant and antimicrobial capacity of several monofloral Cuban honeys and their correlation with color, polyphenol content and other chemical compounds. Food Chem Toxicol 48:2490–2499
Alvarez-Suarez JM, Tulipani S, Romandini S, Bertoli E, Battino M (2010b) Contribution of honey in nutrition and human health: a review. Mediterr J Nutr Metab 3:15–23
Baroni MV, Chiabrando GA, Costa C, Wunderlin DA (2002) Assessment of the floral origin of honey by SDS-page immunoblot techniques. J Agric Food Chem 50:1362–1367
Baroni MV, Nores ML, Diaz MDP, Chiabrando GA, Fassano JP, Costa C (2006) Determination of volatile organic compound patterns characteristic of five unifloral honey by solid-phase microextraction-gas chromatographymass spectrometry coupled to chemometrics. J Agric Food Chem 54:7235–7241
Batista B, Da Silva L, Rocha B, Rodrigues J, Berretta-Silva A, Bonates T, Gomes V, Barbosa R, Barbosa F (2012) Multi-element determination in Brazilian honey samples by inductively coupled plasma mass spectrometry and estimation of geographic origin with data mining techniques. Food Res Int 49(1):209–215
Belay A, Solomon WK, Bultossa G, Adgaba N, Melaku S (2013) Physicochemical properties of the Harenna forest honey, bale. Ethiopia Food Chem 141:3386–3392
Beretta G, Vistoli G, Caneva E, Anselmi C, Maffei Facino R (2009) Structure elucidation and NMR assignments of two new pyrrolidinyl quinoline alkaloids from chestnut honey. Magn Reson Chem 47(5):456–459
Bertelli D, Lolli M, Papotti G, Bortolotti L, Serra G, Plessi M (2010) Detection of honey adulteration by sugar syrups using one-dimensional and two-dimensional high-resolution nuclear magnetic resonance. J Agric Food Chem 58(15):8495–8501
Bianchi F, Mangia A, Mattarozzi M, Musci M (2011) Characterization of the volatile profile of thistle honey using headspace solid phase microextraction and gas chromatography–mass spectrometry. Food Chem 129:1030–1036
Bogdanov S, Gallmann P (2008) Authenticity of honey and other bee products state of the art. Anim Prod Dairy Prod Sci 520:1–12
Bogdanov S, Ruoff K, Oddo LP (2004) Physico-chemical methods for the characterization of unifloral honeys: a review. Apidologie 35(Suppl. 1):S4–S17
Campone L, Piccinelli AL, Pagano I, Carabetta S, Sanzo RD, Russo M (2014) Determination of phenolic compounds in honey using dispersive liquid–liquid microextraction. J Chromatogr A 1334:9–15
Castro-Vazquez L, Leon-Ruiz V, Alanon ME, Perez-Coello MS, Gonzalez-Porto AV (2014) Floral origin markers for authenticating Lavandin honey (Lavandula angustifolia x latifolia). Discrimination from lavender honey (Lavandula Latifolia). Food Control 37:362–370
Cazor A, Deborde C, Moing A, Rolin D, This H (2006) Sucrose, glucose, and fructose extraction in aqueous carrot root extracts prepared at different temperatures by means of direct NMR measurements. J Agric Food Chem 54(13):4681–4686
Cengiz MF, Durak MZ, Ozturk M (2014) In-house validation for the determination of honey adulteration with plant sugars (C4) by isotope ratio mass spectrometry (IR-MS). LWT- Food Sci Technol 57:9–15
Chen L, Xue X, Ye Z, Zhou J, Chen F, Zhao J (2011) Determination of Chinese honey adulterated with high fructose corn syrup by near infrared spectroscopy. Food Chem 128:1110–1114
Chin NL, Sowndhararajan K (2020) A review on analytical methods for honey classification, identification and authentication. IntechOpen, London. https://doi.org/10.5772/intechopen.90232
Cho JY, Bae SH, Kim HK, Lee ML, Choi YS, Jin BR, Lee HJ, Jeong HY, Lee YG, Moon JH (2015) New quinolinone alkaloids from chestnut (Castanea crenata Sieb) honey. J Agric Food Chem 63(13):3587–3592
Codex Alimentarius (2001) Codex standard for honey CODEX STAN 12–1981. Codex Alimentarius Commssion FAO/WHO, Rome, p 8
Consonni R, Cagliani LR (2008) Geographical characterization of polyfloral and acacia honeys by nuclear magnetic resonance and chemometrics. J Agric Food Chem 56:6873–6880
Cotte JF, Casabianca H, Lhéritier J, Perrucchietti C, Sanglar C, Waton H, Grenier-Loustalot MF (2007) Study and validity of 13C stable carbon isotopic ratio analysis by mass spectrometry and 2H site-specific natural isotopic fractionation by nuclear magnetic resonance isotopic measurements to characterize and control the authenticity of honey. Anal Chim Acta 582:125–136
Crane E (1975) History of honey, a comprehensive survey. William Heinemann, London, pp 439–488
de Alda-Garcilope C, Gallego-Pico A, Bravo-Yague JC, Garcinuño-Martínez RM, Fernández-Hernando P (2012) Characterization of Spanish honeys with protected designation of origin “Miel de Granada” according to their mineral content. Food Chem 135:1785–1788
de la Mata P, Dominguez-Vidal A, Bosque-Sendra JM, Ruiz-Medina A, Cuadros-Rodríguez L, Ayora-Cañada MJ (2012) Olive oil assessment in edible oil blends by means of ATR-FTIRand chemometrics. Food Control 23:449–455
Donarski JA, Jones SA, Charlton AJ (2008) Application of cryoprobe 1H nuclear magnetic resonance spectroscopy and multivariate analysis for the verification of Corsican honey. J Agric Food Chem 56:5451–5456
Doner LW, White JW, Phillips JG (1979) Gas-liquid chromatographic test for honey adulteration by high fructose corn syrup. J Assoc Off Anal Chem 62:186–189
El Sohaimy SA, Masry SHD, Shehata MG (2015) Physicochemical characteristics of honey from different origins. Ann Agric Sci 60(2):279–287
Escriche I, Kadar M, Juan-Borras M, Domenech E (2011) Using flavonoids, phenolic compounds and headspace volatile profile for botanical authentication of lemon and orange honeys. Food Res Int 44:1504–1513
European Commission (2002) Regulation (EC) No 178/2002 of the European Parliament and of the council of 28 January 2002 laying down the general principles and requirements of food law, establishing the European food safety authority and laying down procedures in matters of food safety. J Eur Commun L31:1–24
FAO (1981) Standard for honey (CODEX STAN 12). Codex Alimentarius: sugars, cocoa products and chocolate and miscellaneous products. FAO, Rome, p 11
Ferreira ICFR, Aires E, Barreira JCM, Estevinho LM (2009) Antioxidant activity of Portuguese honey samples: different contributions of the entire honey and phenolic extract. Food Chem 114:1438–1443
Gomes S, Dias LG, Moreira LL, Rodrigues P, Estevinho L (2010) Physicochemical, microbiological and antimicrobial properties of commercial honeys from Portugal. Food Chem Toxicol 48:544–548
Hebbar HU, Nandini KE, Lakshmi MC, Subramanian R (2003) Microwave and infrared heat processing of honey and its quality. Food Sci Technol Res 9(1):49–53
Hermosín I, Chicón RM, Cabezudo MD (2003) Free amino acid composition and botanical origin of honey. Food Chem 83(2):263–268
Jerkovic I, Marijanovic Z, Kezic J, Gugic M (2009) Headspace, volatile and semivolatile organic compounds diversity and radical scavenging activity of ultrasonic solvent extracts from Amorpha fruticosa honey samples. Molecules 14:2717–2728
Kamboj R, Bera MB, Nanda V (2013) Evaluation of physico-chemical properties, trace metal content and antioxidant activity of Indian honeys. Int J Food Sci Technol 48:578–587
Kazalaki A, Misiak M, Spyros A, Dais P (2015) Identification and quantitative determination of carbohydrate molecules in Greek honey by employing 13C NMR spectroscopy. Anal Methods 7(14):5962–5972
Kelly JF, Downey G, Fouratier V (2004) Initial study of honey adulteration by sugar solutions using midinfrared (MIR) spectroscopy and chemometrics. J Agric Food Chem 52(1):33–39
Kerkvliet JD, Shrestha M, Tuladhar K, Manandhar H (1995) Microscopic detection of adulteration of honey with cane sugar and cane sugar products. Apidologie 26(2):131–139
Khalil MI, Sulaiman SA, Gan SH (2010) High 5-hydroxymethylfurfural concentrations are found in Malaysian honey samples stored for more than one year. Food Chem Toxicol 48(8):2388–2392
Kropf U, Golob T, Necemer M, Kump P, Korosec M, Bertoncelj J (2010) Carbon and nitrogen natural stable isotopes in Slovene honey: adulteration and botanical and geographical aspects. J Agric Food Chem 58:12794–12803
Lolli M, Bertelli D, Plessi M, Sabatini AG, Restani C (2008) J Agric Food Chem 56:1298–1304
Louveaux J, Maurizio A, Vorwohl G (1970) Methods of melissopalynology. Bee World 51(3):125–138
Mehryar L, Esmaiili M (2011) Honey & Honey Adulteration Detection: a review. In: Proceedings of the 11th international congress on engineering and food, Athens, Greece, 2011 (iCEF11), vol 3
Mesaik MA, Dastagir N, Uddin N, Rehman K, Azim MK (2014) Characterization of immunomodulatory activities of honey glycoproteins and glycopeptides. J Agric Food Chem 63(1):177–184
Molan PC (2006) The evidence supporting the use of honey as a wound dressing. Int J Low Extrem Wounds 5(1):40–54
Morlock G, Schwack W (2008) Planar chromatography—back to the future? LC GC Eur 21:366–371
Mosavat M, Ooi FK, Mohamed M (2014) Effects of honey supplementation combined with different jumping exercise intensities on bone mass, serum bone metabolism markers and gonadotropins in female rats. BMC Complement Altern Med 14:126
Oelschlaegel S, Gruner M, Wang PN, Boettcher A, Koelling-Speer I, Speer K (2012) Classification and characterization of manuka honeys based on phenolic compounds and methylglyoxal. J Agric Food Chem 60:7229–7237
Olga E, María FG, Carmen SM (2012) Differentiation of blossom honey and honeydew honey from Northwest Spain. Agriculture 2(1):25–37
Ouchemoukh S, Louaileche H, Schweitzer P (2007) Physicochemical characteristics and 886 865 pollen spectrum of some Algerian honeys. Food Control 18:52–58
Ouchemoukh S, Schweitzer P, Bey MB, Djoudad-Kadji H, Louaileche H (2010) HPLC sugar profiles of Algerian honeys. Food Chem 121:561–568
Padovan GJ, De Jong D, Rodrigues LP, Marchini JS (2003) Detection of adulteration of commercial honey samples by the 13C/12C isotopic ratio. Food Chem 82:633–636
Pasias IN, Kiriakou IK, Proestos C (2017) HMF and diastase activity in honeys: a fully validated 870 approach and a chemometric analysis for identification of honey freshness and adulteration. Food Chem 229:425–431
Patil VVC (2016) Ᾱtreya’s principles and practices of Basti Karma, 1st edn. Atreya Ayurveda
Pierna JA, Abbas O, Dardenne P, Baeten V (2011) Discrimination of Corsican honey by FT-Raman spectroscopy and chemometrics. Biotechnol Agron Soc Environ 15:75–84
Piljac-Žegarac J, Stipčević T, Belščak A (2009) Antioxidant properties and phenolic content of different floral origin honeys. J Api Prod ApiMed Sci 1(2):43–50
Ramanauskiene K, Stelmakiene A, Briedis V, Ivanauskas L, Jakstas V (2012) The quantitative analysis of biologically active compounds in Lithuanian honey. Food Chem 132:1544–1548
Ribeiro RDOR, Mársico ET, Carneiro CDS, Monteiro MLG, Júnior CC, Jesus EFOD (2014) Detection of honey adulteration of high fructose corn syrup by low field nuclear magnetic resonance (LF 1H NMR). J Food Eng 135:39–43
Rizelio VM, Gonzaga LV, Campelo Borges GDS, Maltez HF, Costa ACO, Fett R (2012) Fast determination of cations in honey by capillary electrophoresis: a possible method for geographic origin discrimination. Talanta 99:450–456
Ruoff K, Iglesias MT, Luginbuehl W, Jacques-Olivier B, Stefan B, Amado R (2005) Quantitative analysis of physical and chemical measured in honey by mid-infrare spectrometry. Eur Food Res Technol 223(1):22–29
Ruoff K, Luginbuhl W, Kunzli R, Bogdanov S, Bosset JO, von der Ohe K, Von der Ohe W, Amado R (2006) Authentication of the botanical and geographical origin of honey by front-face fluorescence spectroscopy. J Agric Food Chem 54:6858–6866
Sadasivam S, Manickam A (1996) Biochemical methods, 2nd edn. New Age International, New Delhi
Sajid M, Azim MK (2012) Characterization of the nematicidal activity of natural honey. J Agric Food Chem 60(30):7428–7434
Senyuva HZ, Gilbert J, Silici S, Charlton A, Dal C, Gurel N (2009) Profiling Turkish honeys to determine authenticity using physical and chemical characteristics. J Agric Food Chem 57:3911–3919
Simova S, Atanassov A, Shishiniova M, Bankova V (2012) A rapid differentiation between oak honeydew honey and nectar and other honeydew honeys by NMR spectroscopy. Food Chem 134(3):1706–1710
Soares S, Amaral JS, Oliveira MBPP, Mafra I (2015) Improving DNA isolation from honey for the botanical origin identification. Food Control 48:130–136
Spanik I, Pazitna A, Siska P, Szolcsanyi P (2014) The determination of botanical origin of honeys based on enantiomer distribution of chiral volatile organic compounds. Food Chem 158:497–503
Tosun M (2013) Detection of adulteration in honey samples added various sugar syrups with 13C/12C isotope ratio analysis method. Food Chem 138:1629–1632
Trautvetter S, Koelling-Speer I, Speer K (2009) Confirmation of phenolic acids and flavonoids in honeys by UPLC-MS. Apidologie 40:140–150
Verzera A, Tripodi G, Condurso DG, Marra A (2014) Chiral volatile compounds for the determination of orange honey authenticity. Food Control 39:237–243
Wang J, Kliks MM, Jun S, Jackson M, Li QX (2010) Rapid analysis of glucose, fructose, sucrose, and maltose in honeys from different geographic regions using Fourier transform infrared spectroscopy and multivariate analysis. J Food Sci 75:C208–C214
Wu L, Du B, Vander Heyden Y, Chen L, Zhao L, Wang M, Xue X (2017) Recent advancements in detecting sugar based adulterants in honey—a challenge. TrAC Trends Anal Chem 86:25–38
Xue X, Wang Q, Li Y, Wu L, Chen L, Zhao J, Liu F (2013) 2-Acetylfuran-3- glucopyranoside as a novel marker for the detection of honey adulterated with rice syrup. J Agric Food Chem 61:7488–7493
Yaghoobi N, Al-Waili N, Ghayour-Mobarhan M, Parizadeh SMR, Abasalti Z, Yaghoobi Z, Yaghoobi F, Esmaeili H, Kazemi-Bajestani SMR, Aghasizadeh R, Saloom KY, Ferns GAA (2008) Natural honey and cardiovascular risk factors; effects on blood glucose cholesterol, triacylglycerole, CRP, and body weight compared with sucrose. Scientific World Journal 8:463–469
Yao L, Jiang Y, Singanusong R, Datta N, Raymont K (2005) Phenolic acids in Australian Melaleuca, Guioa, Lophostemon, Banksia and Helianthus honeys and their potential for floral authentication. Food Res Int 38:651–658
Zhou J, Yao L, Li Y, Chen L, Wu L, Zhao J (2014) Floral classification of honey using liquid chromatography–diode array detection–tandem mass spectrometry and chemometric analysis. Food Chem 145:941–949
Zielinski L, Deja S, Jasicka-Misiak I, Kafarski P (2014) Chemometrics as a tool of origin determination of polish monofloral and multifloral honeys. J Agric Food Chem 62:2973–2981
Acknowledgment
The authors are very thankful to the Faculty of Pharmacy, Maulna Azad University, Jodhpur, Rajashthan, INDIA for valuable support.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Taleuzzaman, M., Alam, M.J., Kala, C., Rahat, I. (2020). Honey of Authenticity: An Analytical Approach. In: Rehman, M.U., Majid, S. (eds) Therapeutic Applications of Honey and its Phytochemicals . Springer, Singapore. https://doi.org/10.1007/978-981-15-6799-5_6
Download citation
DOI: https://doi.org/10.1007/978-981-15-6799-5_6
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-6798-8
Online ISBN: 978-981-15-6799-5
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)