Honey is the natural sweet substance produced by honeybees from the nectar of plants or secretions of living parts of plants. It is formed from the excretions of plant-sucking insects on the living parts of plants, which the bees collect, transform by combining with specific substances of their own, deposit, dehydrate, store, and left in the honey-comb to ripen and mature (Codex Alimentarius, 2001). Honey is sought for its nutritional and medicinal properties (James et al., 2009), and its viscosity is primarily influenced by its composition and temperature (Afonso et al., 2018). The balance of organic acids, phenolic compounds, minerals, proteins, colloids, monomers, oligomers and water content in honey control its compositional and structural orientation (Anidiobu, 2019). Rheological data is an intrinsic property through which the significant uniqueness of a material may be observed (Anidiobu, 2014).
Studies have been carried out on the rheological characteristics of honey from different countries, including Australia (Bhandari et al., 1999), Jordan (Al-Malah et al., 2001), Israel (Weihs, 2008), Poland (Witczak et al., 2011), and Persia (Tavakolipour & Ashtari, 2010). James et al. (2009) studied the effect of temperature on the rheology of Nigerian honey and focused on samples from the North-Central region of Nigeria. In this study, samples are collected from the south-west region of Nigeria.
Rheology, the study of deformation and flow of fluids, gives a perspective into the molecular and structural orientation of fluids undergoing deformation. Viscosity is more easily measured than some of the properties that affect it, making it a valuable tool for material characterization (Bera et al., 2008). The major problem of the honey industry in Nigeria and other developing countries of the world is adulteration with foreign materials, but the tedious and expensive nature of conventional methods of adulteration detection is equally problematic. This study explores the efficacy of a rheological characterization method to answer this need.
One of the most prominent factors that control the rheological behaviour of a material is its composition. A change in the composition of material will reflect in its rheological properties. Adulteration in honey increases its content of hydroxymethylfurfural (HMF) (Makawi et al., 2009), which is generally not present in fresh well-processed pure honey (Lewkowski, 2001). Its content increases during temperature conditioning to dissolve crystallized fragments, in storage and upon adulteration (Kalabova et al., 2003).
In this work, the effect of glucose syrup adulteration on the rheology of honey was studied. The build-up of HMF induced by adulteration with glucose syrup was investigated to find a possible correlation with the rheological analysis.
The power-law equation is given as:
Where,
Where
This four-parameter model describes the non-Newtonian flow with asymptotic viscosities at zero (
For this work, the control honey sample, Sample A, was cultivated, harvested, and processed in 2013 at the AOT-Mafe Farm, Imuwen, Ogun State, to ensure that it is pure because of incessant adulteration of honey in Nigeria. The adulterating material, glucose syrup (GS) was purchased from an open market in Lagos, Nigeria in 2013. The water content of the glucose syrup used in this work is the same as the control honey sample A. It was then used to adulterate honey. The mass levels of adulteration obtained from mixtures of glucose syrup and control honey sample were AG10, AG50, AG70 and AG90 at 10%, 50%, 70% and 90%, respectively. The mixtures of adulterated samples were homogenised completely, the control sample was analysed within twenty-four hours of harvest, the different percentages of glucose adulterants were within twenty-four hours of the formulation and samples picked at random from the open market within twenty-four hours of procurement. During the chromatographic analysis for the determination of hydroxymethylfurfural in honey, the mobile phase was water-methanol (90:10 by volume), both of High-Performance Liquid Chromatography (HPLC) qualities. The Standard Solution of 5-hydroxyl methyl-furan-2-carbaldehyde (H40807) from Sigma-Aldrich, Milan was used. All other reagents used were of HPLC standard.
The rheology of the samples was studied with the use of the Brookfield DV-III Ultra Programmable Rheometer. The principle of operating the DV-III Ultra is to drive a spindle, which is immersed in the test sample, through a calibrated spring. The spring deflection measures the viscous drag of the fluid against the spindle. Spring deflection is measured with a rotary transducer. The rotational speed of the spindle determines the viscosity measurement range of the Rheometer, size and shape of the spindle. The container in which the spindle is rotated and the full-scale torque of the calibrated spring determines the full-scale viscosity range. All measurements were done with a cone radius of 24 mm and with a 0.8 cone angle; this gives a gap height of 0.1 mm at the circumference of the cone. The effect of glucose syrup adulteration on honey rheology was investigated at a room temperature of 27°C. The experiment was conducted at room temperature (27°C) because honey is eaten and commercially stored at room temperature (Kamboj & Mishra, 2014; Anidiobu, 2014). The samples were made to stand in the container for thirty minutes before the analysis order, to allow for the complete structural buildup from shear-induced flow into the container. Each experimental determination was repeated after 24 hours to verify the reproducibility of the results. Before being used the samples were warmed up to 40°C to dissolve any crystals and kept in flasks at 30°C to remove air bubbles which could interfere in rheological studies as Mossel et al. (2000) recommended.
Linear least-squares error regression analysis was used for the curve-fit on the semi-log tables of the rheological data. The study was performed on Ostwald-de Waele Power-Law Model (PLM). The goodness of the fit, R-Squared, was obtained using Regression analysis.
The four-parameter Malcolm Cross model was curve-fitted carried using the method of Morrison (2005) and a Solver Add-in of Microsoft Excel. The parameters of this model were initially guessed from the least square solution using PLM.
The High-Performance Liquid Chromatography (HPLC) following the technique of Jeuring & Kuppers (1980) were used to was determine samples’ HMF content. The HPLC (Agilent-Califonia, US) was equipped with a DAD detector and an integrator Colum. The HPLC column was a Merck Lichrospher, RP-18, 5 in, 12.5 x 4 mm, fitted with a guard cartridge packed with the same stationary phase (Merck, Milan). Membrane filter, 0.45 μm (Dynargard), was with mobile phase of water-methanol (90:10 by volume).
This section contains the experimental and the rheological modelling results. The results of this work are given in Figures 1–12 and Tables 1–4. Fig. 1 is the effect of glucose syrup adulteration on the rheology of Nigerian Honey at 27°C. Fig. 2 is the rheological behaviour of control and market honey samples at 27°C. Fig. 3 is the rheological curve-fit of sample A at 27°C using Power-law and Malcolm Cross models. Fig. 4 is the rheological curve-fit of sample B at 27°C using Power law and Malcolm Cross models. Fig. 5 is the rheological curve-fit of sample D1 at 27°C using Power-law and Malcolm Cross models, while Fig. 6 is the rheological curve-fit of sample D2 at 27°C using Power-law and Malcolm Cross models. Fig. 7 is the rheological curve-fit of sample D3 at 27°C using Power-law and Malcolm Cross models. Figures 8, 9, 10, 11, and 12 are the curve-fit of samples GS, AGS10, AGS50, AGS70, and AGS90, at 27°C using Power-law and Malcolm Cross models.
Effect of glucose syrup adulteration on the rheological behaviour of Nigerian honey at 27°C.
Rheological behaviour of control and market honey samples at 27°C.
Rheological curve-fit of control sample A at 27°C using Power law and Malcolm Cross models.
Rheological curve-fit of sample B at 27°C using Power law and Malcolm Cross models.
Rheological curve-fit of sample D1 at 27°C using Power-law and Malcolm Cross models.
Rheological curve-fit of sample D2 at 27°C using Power law and Malcolm Cross models.
Rheological curve-fit of sample D3 at 27°C using Power law and Malcolm Cross models.
Rheological curve-fit of sample GS at 27°C using Power law and Malcolm Cross models.
Rheological curve-fit of sample AGS10 at 27°C using Power law and Malcolm Cross models.
Rheological curve-fit of sample AGS50 at 27°C using Power law and Malcolm Cross models.
Rheological curve-fit of sample AGS70 at 27°C using Power law and Malcolm Cross models.
Rheological curve-fit of sample AGS90 at 27°C using Power law and Malcolm Cross models.
Samples details and sensory evaluation of samples
S/N | Sample | Location/Year of harvest | Appearance | Colour | Taste | Odour | Remark |
---|---|---|---|---|---|---|---|
1 | A | AOT-Mafe Farm, Imuwen, Ogun State in 2013 | Clear | Golden amber | Very Hot sensation on the tongue | Pungent pineapple flavour | Unifloral Pineapple Honey |
2 | B | Igbogiya town, Oyo State in 2013 | Tinny pollens observed | Dark amber | Hot sensation not observed | Honey flavour | Market Sample |
3 | D1 | Kaybech Pure Honey in 2013 | Pollens/combs Observed | Very dark amber | A Very hot sensation on the tongue | Pungent honey flavour | Company sample |
4 | D2 | Kaybech Pure Honey in 2013 | Pollens/combs observed | Very dark amber | A Warm sensation on tongue | Pungent honey flavour | Company sample |
5 | D3 | Isehin, Oyo State in 2013 | Clear | Dark amber | Mild hot sensation on tongue | Pungent honey flavour | Market sample |
6 | AG10 | Adulterated | Clear | Light amber | A Mild hot sensation on the tongue | Pungent pineapple flavour | Adulterated |
7 | AG50 | Adulterated | Clear | light brown | A Mild warm sensation on the tongue | Pineapple flavour not strongly perceived | Adulterated |
8 | AG70 | Adulterated | Clear | Very light brown | Mild warm sensation on tongue | Mild flavour | Adulterated |
9 | AG90 | Adulterated | Clear | Very light brown | No sensation on the tongue | Mild flavour | Adulterated |
10 | GS | Glucose Syrup in 2013 | Clear | Colourless | No sensation on the tongue |
Curve-fit of samples at 27°C using Ostwald-de Waele Power Law Model
S/N | Samples | ESS | ||
---|---|---|---|---|
1 | A | 0.250 | 919.932 | 1.35718 |
2 | B | 0.545 | 689.523 | 2.00602 |
3 | D1 | 0.358 | 845.984 | 3.06908 |
4 | D2 | 0.144 | 1020.043 | 0.90120 |
5 | D3 | 0.433 | 1262.438 | 0.24255 |
6 | AGS10 | 0.475 | 741.222 | 1.46311 |
7 | AGS50 | 0.935 | 228.332 | 1.72672 |
8 | AGS70 | 0.976 | 177.825 | 1.37624 |
9 | AGS90 | 1.195 | 111.754 | 0.87171 |
10 | GS | 1.200 | 81.109 | 0.82230 |
Curve-fit of Samples at 27°C using Malcolm M. Cross Model
S/N | Samples | K1(mPa.sn) | ESS | |||
---|---|---|---|---|---|---|
1 | A | 0.210 | 2287.11 | 183.71 | 1.120 | 0.0447 |
2 | B | 0.470 | 976.868 | 239.539 | 0.093 | 0.0648 |
3 | D1 | 0.305 | 1424.821 | 236.190 | 0.334 | 0.5412 |
4 | D2 | 0.099 | 3715.363 | 155.718 | 2.405 | 0.0489 |
5 | D3 | 0.387 | 3149.597 | 702.502 | 0. 458 | 0.0058 |
6 | AGS10 | 0.423 | 1156.429 | 224.346 | 0.198 | 0.3434 |
7 | AGS50 | 0.856 | 87.299 | 70.000 | 0.198 | 0.0373 |
8 | AGS70 | 0.922 | 311.646 | 213.171 | 11.671 | 0.0065 |
9 | AGS90 | 1.205 | 288.685 | 169.890 | 0.082 | 0.0358 |
10 | GS | 1.189 | 69.030 | 145.456 | 2.815 | 0.1577 |
Chromatographic analysis of hydroxylmethylfurfural content of honey adulterated with glucose syrup
S/N | Samples | HMF (mg/Liter) |
---|---|---|
1. | A | 0.04 |
2. | AGS10 | 80.89 |
3. | AGS50 | 93.44 |
4. | AGS70 | 111.77 |
5. | AGS90 | 135.19 |
6. | GS | 180.23 |
7. | B | 124.15 |
8. | D1 | 55.49 |
9. | D2 | 22.90 |
10. | D3 | 82.51 |
Tab. 1 is the sensory evaluation of samples analysed in this work. Tab. 2 is the curve-fit of Samples at 27°C using the Ostwald-de Waele Power-law model, while Tab. 3 is the curve-fit of samples at 27°C using Malcolm Cross Model. Tab. 4 is the result of the HMF content of samples.
Tab. 1 shows the sample details and sensory evaluation of samples used in the present study. The climatic and other conditions in the area where samples were collected are the same.
The rheograms of control honey sample A and other samples purchased from the open market, B, D1, D2, and D3 were given in Fig. 1. Sample A was cultivated, harvested and processed for this study. The rheological signature (profile) of Market sample D2 is similar to that of pure sample A, which indicates that the Market sample was unadulterated. Other market samples B, D1, and D3 (having similar water content as A, 18.2±0.4%) exhibited varying discrepancies from the rheological signature of pure sample A, which suggests some levels of adulteration. Anidiobu (2016) and Anidiobu (2014) observed that wild honey samples from three different geographical locations, though sharing similar climatic and floral conditions, in Nigeria exhibited similar rheological properties. The observed rheograms were traced to a similar balance of oligomers and monosaccharides and water in the samples. Fig. 2 rheogram shows the effect of glucose syrup adulteration on honey. The colloidal materials, polymerised monosaccharides, melezitose, raffinose, and some oligosaccharides have been suggested to be responsible for honey's non-Newtonian behaviour (Anidiobu, 2014). The substitution of these high molecular weight materials with the lower molecular weight adulterants (glucose syrup) leads to a sequential decrease in the viscosity of the resulting adulterated samples observed in Fig. 2 (Sopade et al., 2004). This is consistent with the findings of Bakier et al. (2007) and Bera et al. (2008) that rheology is dependent on composition.
In this section, the rheological curve fit of Nigerian honey was carried out using Malcolm Cross and Ostwald-de Waele Power-Law models, as shown in figures 3–12. The Ostwald-de Waele Power-Law model was first used to obtain the flow behaviour index and the zero shear viscosity with large sums of errors using the least square analysis. The summary of the results obtained is presented in Tab. 2. The values of power-law index or flow behaviour index,
In summary, based on the respective curve-fits as well as the values of Error Sum of Square (ESS) it can be inferred that the Malcolm Cross model better correlated the rheology of the samples compared to the Power-Law model. When The ESS value is closer to zero, the fitted rheological values are more dependable (Morrison, 2005).
This section seeks to establish a possible correlation of chromatographic characterization with conclusions from the rheological quality assessment of honey. The HMF content of honey was determined using reverse-phase HPLC equipped with a Diode Array Detector (DAD) set at 285 nm. The DAD spectrophotometer reads the absorbance of HMF at 285 nm. The HMF concentration was 0.001 mg/100 ml of the mobile phase. The mobile phase used was 90% by volume of double distilled water and 10% by volume of methanol. The HMF elutes from the HPLC at a retention time of 4.073 minutes. The peak area was found to be 5,483,162 under this concentration. This chromatograph in Fig. 13 was generated as part of the calibration data for the experiment.
Next chromatograph of HMF content of sample A, pure honey from Imuwen, Ijubu Mushin in Ogun State was generated. The HMF contents of the samples were quantified by comparison of areas under the HMF peak and those of the other samples with corrections for sample dilutions. The result of 0.04 mg/kg obtained on Imuwen Ijebu Mushin honey (sample A) is an indication of the freshness and purity of the standard honey. Its value is also below the Codex Alimentary threshold of 80 mg/kg indicating compliance with the HMF standard for pure honey (Bogdanov, 2008). The 5-hydroxymethyl furfuraldehyde (HMF) content of honey samples is a measure of freshness, adulteration or heat treatment of honey (Anidiobu, 2016). HMF is formed in honey during acid-catalyzed thermal dehydration of hexoses (fructose and glucose) occasioned by disequilibrium introduced by the adulterating material, storage or heat treatment of honey (Belitz & Grosch, 1999). Thus, sample A is established as unadulterated pure honey.
As shown in Tab. 4, sample D2 is established chromatographically as pure honey. The HMF value of 22.90 mg/kg obtained (are below the Codex Alimentary Standard) confirmed the earlier rheological characterization results. Though sample D1's HMF content of 55.49 mg/kg passed the Codex Alimentary standard, it failed the European Union Standard of 40 mg/kg. This result indicates a mild level of adulteration. Sample D3 earlier was predicted rheologically as an adulterated sample but expectedly failed the HMF test. It then concludes that the chromatographic analysis of market samples correlated with conclusions from rheological characterisation.
Similarly, glucose syrup (GS) yielded a high furfural content of 180.23 mg/kg. When the reference pure honey (A) was adulterated to 10% glucose (sample AGS10), a furfural content of 80.89 mg/kg resulted which is just above the Codex Standard of 80 mg/kg. Likewise, at 50% adulteration of honey (AGS50), the furfural content increased to 93.44 mg/kg. Similarly, at 70% (AGS70) and 90% adulteration of honey with glucose syrup (AGS90), HMF contents of 111.77 and 135.19 mg/kg were obtained. This most likely came from the rich HMF content of glucose syrup, employed in diluting sample A. The high content of the furfural in the syrup adulterant could be attributed to the enzyme invertase (saccharase and α-glucosidase) which leads to the decomposition of glucose, thereby releasing HMF as a by-product in the presence of good acidic medium and high temperature (Zappala et al., 2005).
Pure honey has a characteristic rheogram at a fixed condition of temperature. The viscosity generally decreases as the shear rate increases. Still, a peculiar shear thickening behaviour is observed at low rates of shear (0.01 to 0.1 s−1) and temperatures around 27°C leading to maxima in the rheogram. Glucose syrup often fraudulently employed to enhance net product mass was found to drag the samples towards Newtonian behaviour even in the low shear rate zone. The degrees of honey adulteration (mass % of adulterant in the sample) reflected on the rheograms. Rheological data from market samples suggests that sample D2 is pure and other samples exhibited varying degrees of adulteration. A correlation was found between the rheological characterization of honey and the chromatographic assay of hydroxymethylfurfural in honey. The furfural was found to increase with the increased adulteration of honey with glucose syrup.