Characterization of physicochemical composition, microbiology, sensory evaluation and microscopical attributes of sweetened condensed milk

Abstract

An analysis of nine sweetened condensed milk brands allowed for the identification of statistically significant difference in moisture, water activity (a_w), soluble solids, percentage of protein, lactose crystals size, viscosity and in sensorial attributes of texture, characteristic flavor and flour texture. Relevant correlations between the composition and sensorial attributes were determined. Eighty percent of the samples presented of yeast from <0.6 logCFU.g^-1 to 4.7 logCFU.g^-1 and seventy percent presented of coagulase-negative staphylococcus from <3.1 log CFU.g^-1 to 5.7 log CFU.g^-1. These results attest the demand for more controls and investments to provide the market with a safe and standardized product.

Keywords:
compositional characterization; sensorial attributes; microbiology; lactose crystals

1 Introduction

According to Brazilian legislation, SCM is manufactured by removing part of water from a mixture of milk and sucrose or glucose by evaporation. During subsequent cooling of the product after sugar addition and evaporation, lactose crystallization is induced. Today, there are considerable variations in the methods and equipment used to manufacture SCM. The stages of the process include heat treatment, homogenization, addition of sugar (liquid or dry, before or during concentration), concentration (or hydration if powder is used), seeding and cooling (Tan, 2009).

Except for seeding and cooling, the sequence of these stages varies from one processor to another and it is quite common to carry out the heat treatment, and/or concentrations in multiple stages (Tan, 2009). Different processing sequences lead to products with different viscosity and age-thickening properties.

Sensorial problems in SCM are related to milk quality, intensity of heat treatment, microbiological contamination and insufficient crystallization of lactose. According to Rice (1926), two variations from good factory operation that might cause rancidity in SCM are 1) leakage in valves through which a small amount of unheated milk might be drawn into a pan under operation, and 2) carelessness in heating the hot well so that all the milk does not reach the temperature necessary to destroy the lipase.

Despite the recent researches on dairy technology, science and nutrition (Akal & Yetişemiyen, 2016; Barbosa et al., 2013; Bosso et al., 2016; Hamoudi-Belarbi et al., 2016; Mostafidi et al., 2016; Rangel et al., 2016; Sales et al., 2016), there are few information’s published on the sweetened condensed milk subject.

The aim of this study was to characterize the physicochemical composition, microbiology, and sensorial and microscopical attributes of sweetened condensed milk produced in Brazil.

2 Materials and methods

The experimental procedures are represented in Figure 1.

Figure 1
Experimental procedures.

2.1 Composition

Concentrations of solids in the sweetened condensed products were determined by gravimetric methods; lactose and sucrose by the Cloramina T method (Wolfschoon-Pombo & Casagrande, 1982); fat by the Gerber method (International Dairy Federation, 2008); and proteins by the micro Kjeldahl method (International Dairy Federation, 1993).

2.2 Physical chemistry attributes

Water activity equipment (Aqualab Series 3, Jarinú, Brazil) was used to determine water activity. Viscosimeter equipment (Quimis model Q860M, Diadema, Brazil) was applied to determine viscosity. The total soluble solids were determined in a refractometer (Reichert model AR200, New York, USA). The number and size of lactose crystals were measured as described in Hough et al. (1990).

2.3 Microbiology

Determinations of aerobic mesophilic bacteria count, moulds and yeasts, coagulase-negative staphylococcus and coliforms at 30 °C and at 45 °C were done according to the American Public Health Association (Lancette & Bennett, 2001) and to the Standard Methods for the Examination of Dairy Products (Laird et al., 2004; Wehr & Frank, 2004; Henning et al., 2004).

2.4 Sensory evaluation

The sensorial panel was done by using Quantitative Descriptive Analysis (QDA) with 9 trained panelists (4 men and 5 women aged between 25 and 48 years), regarding their experience with production and analysis of SCM, oral health status, interests, schedule, availability, ability to verbalize descriptions of sensory perceptions, and use of scales. Prior to the analysis, the participants were trained in the definition and intensities of the defined attributes using sweetened condensed milk with varying sensory properties (for example, low or high concentrations of sucrose). These defined attributes were brightness, color, aroma, consistency, texture, flour texture, characteristic flavor, sweetness and cooked flavor. The judges analyzed a maximum of 3 samples each time. The samples were presented out of their original package in similar containers. Water, apples and crackers were provided to clean the palate between samples.

2.5 Experimental design and statistical analysis

Data were analyzed using descriptive statistics, an analysis of variance with the Tukey test to compare means the posteriori and “t” test of Student to compare the paired data means. Parametric Pearson correlations were applied for physicochemical and sensory attributes of sweetened condensed milk. Statistical analyses (α < 0.05) were performed with SAEG® (2007) software.

3 Results and discussion

The compositions of the products are represented in Table 1.

Table 1
Sweetened condensed milk composition (n=27).

Attribute	Average value	Standard deviation	Standard error of the mean	Coefficient of variation (%)
Total solids (g∙100∙g-1)	72.59	2.93	0.57	4.03
Moisture (g∙100∙g-1)	27.41	2.93	0.57	10.68
Water activity	0.85	0.015	0.003	1.84
Viscosity (kPa∙s)	9.553	4.333	0.850	45.36
Lactose (g∙100∙g-1)	10.16	1.75	0.34	17.20
Sucrose (g∙100∙g-1)	46.48	7.20	1.41	15.48
Total sugar (g∙100∙g-1)	56.64	7.25	1.42	12.79
Soluble solids (oBrix)	69.38	1.89	0.37	2.72
Proteins (g∙100∙g-1)	6.04	0.52	0.10	8.58
Fat (g∙100∙g-1)	7.85	0.84	0.17	10.72
Lactose crystal size (µm)	18.98	5.64	1.13	29.72
Log NUMCR*	8.16	0.52	0.10	6.38
SWR**	0.631

• ^*
  Number of lactose crystals;
• ^**
  SWR = (%sucrose in SCM)/(%sucrose in SCM+%water in SCM).

The mean of total solids observed for the product was 72.59% w/w, with consequently 27.41% w/w of humidity. This attribute has an important function in technological aspects as it determines the final point of evaporation and the yields of the process. Brazilian legislation (Portaria número 354 de 1997 do MAPA, Brasil, 1997) defines that the maximum value of humidity for “dulce de leche” is 30% w/w, which allows a bigger industrial yield and a lower water removal during processing when compared to the SCM manufacturing technology. The establishment of maximum humidity values for SCM is important for parameters including industrial yields, lactose crystallization efficiency and water activity. Table 2 presents the results of the Tuckey test for total solids, water activity, soluble solids and protein.

Table 2
Tuckey test applied to total solids, water activity, soluble solids and protein^* (n=27).

Total solids		Water activity		Soluble solids		Protein
Brand	Average	Brand	Average	Brand	Average	Brand	Average
6	75.72a	5	0.87a	6	71.35a	9	6.89a
4	74.93a	7	0.86ab	9	70.43a	5	6.60ab
1	73.64ab	3	0.85ab	4	70.28ab	3	6.25abc
3	73.41ab	9	0.85ab	2	69.95ab	4	5.97bc
2	73.32ab	8	0.85abc	3	69.73ab	1	5.95bc
7	73.25ab	1	0.85bc	1	69.70ab	6	5.75bc
9	72.28ab	2	0.85bc	8	69.40ab	7	5.74bc
5	70.27b	4	0.84bc	7	68.77ab	2	5.68c
8	70.13b	6	0.83c	5	68.00b	8	5.53c

• ^*
  Means followed by the same letter do not differ significantly by Tukey test at 5% probability.

The comparison of the total solids means by the Tuckey test showed that brands 4 and 6 are statistic different from brands 5 and 8, with the majority of the brands in the value range between 72.28% w/w and 73.64% w/w.

The mean value for the water activity of the sweetened condensed milk samples was 0.85 and the comparison of the results by Tuckey showed a wide range of results for this attribute. This observation suggests that water activity in this product is not a highly controlled parameter by industries.

According to Tan (2009), sucrose is added to milk in the production of SCM to achieve a shelf-stable product with a sufficiently high osmotic pressure to prevent microbial spoilage and food poisoning. The products may occasionally be subject to spoilage by xerophilic moulds and osmophilic yeasts, which can tolerate water activity (a_w) to almost 0.61. To achieve the required osmotic effect, a sucrose in water ratio (SWR) minimum of 0.625 is needed (Tan, 2009; Early, 1998), as determined by Equation 1.

$$SWR=\frac{\%sucroseinSCM}{\left(\%sucroseinSCM+\%waterinSCM\right)}$$ (1)

The sucrose in SCM is undoubtedly the primary solute responsible for lowering a_w. The desired SWR ratio is 0.625 to 0.645. At a ratio of 0.625, the corresponding a_w is less than 0.85. Below a ratio of 0.625, a_w will be higher than 0.850 (microbiologically unstable) and above 0.645, sucrose will crystallize out of solution, especially when the product is stored below room temperature (Tan, 2009).

The application of Equation 1 for the obtained values of sucrose and moisture gives 0.631 as mean value. This average is between the recommended range for sucrose in water ratio, according to the literature references.

Considering the water activity limit for microbiology grown as 0.85 (Tan, 2009), brands 5 and 7 are above this reference, and brands 1, 2, 3, 8 and 9 are exactly on limit value. This result is important for quality control and food security once it allows the development of potentially dangerous microorganisms in sweetened condensed milk. This emphasizes the importance of all technological actions in order to obtain safe food. The comparison of protein average for sweetened condensed milk with the values for “Dulce de leche” shows that 6 of the 9 brands are not in accordance with the minimum 6% w/v protein required by legislation for “Dulce de leche”. This result was not expected because SCM is a more concentrated product than “Dulce de leche”. Therefore, a higher amount of protein was expected in SCM. This is an important fact for the nutritional point of view because low amounts of proteins have the tendency to characterize SCM more as a dessert than as a dairy product rich in nutrients. Many international legislations determine a minimum value of 34% of proteins in the total non-fat dairy solids. The calculation of this parameter for Brazilian SCM products showed an average of 33%, which shows the importance to discuss the ratio of protein during the elaboration of a specific technical standard for sweetened condensed milk, especially for product exportation standardization.

Similar to the amount of proteins in SCM, the average values for fat in this product was 7.85% w/v which is under the minimum 8% w/w value stipulated by some international legislation.

The lactose crystal size, texture, characteristic flavor, flour texture and viscosity of the products are presented in Table 3. Texture, characteristic flavor and flour texture were the only sensorial attributes that showed statistical differences between the analyzed brands.

Table 3
Tuckey test applied to lactose crystal size, texture, characteristic flavor, flour texture and viscosity^* (n=27).

Lactose crystal size (µm)		Texture		Characteristic flavor		Flour texture		Viscosity (kPa·s)
Brand	Average	Brand	Average	Brand	Average	Brand	Average	Brand	Average
8	30.05a	9	4.24a	2	10.93a	9	5.31a	8	12.400a
9	23.37ab	5	3.42ab	3	10.51a	8	4.47ab	9	11.867ab
7	22.50ab	8	3.31ab	1	9.93ab	4	4.38ab	4	10.800abc
4	20.00bc	4	3.30ab	8	9.45ab	5	3.78ab	2	8.000abcd
6	18.70bc	3	2.65ab	9	9.21ab	2	3.70ab	3	6.933abcd
5	18.60bc	2	2.49ab	7	9.18ab	1	3.62ab	1	6.400abcd
2	16.93bc	7	2.19ab	5	8.74ab	7	2.96ab	5	5.733bcd
1	12.13c	6	1.98ab	4	8.60b	3	2.65b	6	4.600cd
3	12.10c	1	1.91b	6	7.92b	6	2.25b	7	3.733d

• ^*
  Means followed by the same letter do not differ significantly by Tukey test at 5% probability.

Analyzing nine sweetened condensed milk (SCM) brands allowed the identification of statistically significant differences in moisture, water activity (a_w), soluble solids, percentage of protein, lactose crystals size, in the viscosity and in sensorial attributes of texture, characteristic flavor and flour texture. A positive correlation was determined between the logarithm of the number of crystals and the amount of lactose (p<0.04), the percentage of total solids (p<0.05) and the sensorial attribute of consistency (p<0.04). Relevant correlations between the composition and sensorial attributes were determined.

These results attest the demand for control of the lactose crystallization stage to get the expected final product characteristics, probably because the industries employ different parameters during standardization, cooling and lactose crystallization of the SCM produced in Brazil. A positive correlation between the number of lactose crystals and the consistency was also observed by the sensorial panel probably due to the increase in the friction between the crystals, showing the necessity for more control in the lactose crystallization process.

Depending on the acceptable level of secondary nucleation, the operating conditions can be selected based on the temperature, agitation rate and time. To produce crystals with narrow size distribution, the agitation speed should be kept at the minimum level to maintain particles in suspension (Wong et al., 2011). According to Fox & McSweeney (1998), once a sufficient number of nuclei had formed during lactose crystallization, crystal growth can occurs at a rate influenced by the degree of supersaturation, surface area available for deposition, viscosity, agitation, temperature and mutarotation.

The texture presented negative statistical correlations with physico-chemical properties as total solids, soluble solids and viscosity. As the scale of the texture left from smooth to sandy, these negative correlations actually indicate that increasing the values of these attributes caused the product's texture to be less smooth and could even cause the perception of sandiness. On the other hand, the increase of milk solids is accompanied by the increase of amount of lactose, which can lead to perception of lactose crystals in the product. As result, this leads the product to have worse performance in texture. Higher levels of total solids and soluble solids contribute to greater saturation of lactose in the solution and greater tendency to crystallization. When well conducted in industry, the crystallization leads to the formation of a larger number of smaller crystals, improving the texture of the final product.

There was an inverse correlation between the attributes of crystal size and water activity. In this way, the sandy texture was presented with increasing crystal size, as described in the literature, and with increasing water activity. These results were expected since the sandy texture is characterized by the presence of high lactose crystal size. Likewise, the water activity is related to the presence of free water and this allows movement of the lactose molecules which are able to form large crystals. Both products 1 and 9 are statistically different for texture attribute and have, respectively, average crystal size of 12.13 µm and 23.37 µm.

The negative correlation between viscosity and texture can be attributed to the fact that products with higher viscosity can better mask the crystals. The higher viscosity decreases the spreadability of the product in the mouth and thus reduces the perception of lactose crystals. The importance of viscosity in the texture is underscored by the fact that the sample with the largest crystals (brand 8 – 30.05 µm) was not the one that received the highest score in the texture attribute, which characterizes a steeper sandy texture. This was the product that also had the highest viscosity. This observation emphasizes the importance of sensory analysis as a product quality control analysis tool since it results from the combined analysis of several factors at the same time by the judge, unlike the physico-chemical analyzis and rheological properties.

The QDA is widely applied to dairy foods (Gaze et al., 2015; Morais et al., 2014a; Cadena et al., 2012). According to the methodology defined for this sensory analysis, the products with characteristic flavor closer to the product considered standard by trained judges received the highest marks. The brands 1, 2 and 3 received the highest scores for characteristic flavor and are also the three brands that had the smaller sizes of lactose crystals. The attribute characteristic flavor correlates statistically positively with the levels of total solids, soluble solids and lactose. The attribute of sweet taste had a statistically positive correlation with total soluble solids, indicating that the higher the concentration achieved on the equipment, the greater the sweet perception in the product, a fact that was expected for the condensed milk.

The “mealy” texture sensory attribute differs from the texture attribute because it seeks to identify protein precipitation, not the presence of lactose crystals. The low thermal stability of milk and the use of high concentration factors may intensify this texture defect in the final product. Products that received the highest scores are those that differ more from the product considered ideal by the trained panelists. Thus, brand 9 is statistically different for the attribute “mealy” texture from the brands 3 and 6, and is the one that presented the highest protein content and the second highest soluble solids content within the analyzed products. From the results of this article is evident the need of performing a consumer test using international context and consumer sensory profiling applying emerging sensory methods (projective mapping and pivot profile) as described in the literature (Dantas et al., 2016; Fonseca et al., 2016; Santos et al., 2015; Morais et al., 2014b; Cruz et al., 2013).

The aerobic mesophilic bacteria count showed a range of variation from <1.0 log CFU.g^-1 to 6.2 log CFU.g^-1. The presence of a high mesophilic bacteria count in the final product (90% of the brands analyzed have high counts) can cause problems during storage. Rogers et al. (1920), describe the development of “buttons”, which are hard, reddish-brown lumps of curd occurring on SCM. They are caused by the growth of Aspergilus repens and possibly other molds. In this study, the presence of yeast was found in eighty percent of the samples from <0.6 logCFU.g^-1 to 4.7 logCFU.g^-1.

The coagulase-negative staphylococcus count showed a variation range from <3.1 logCFU.g^-1 to 5.7 logCFU.g^-1. This microorganism was detected in seventy percent of the samples. In another study with 10 brands of SCM (Sá et al., 2008), the coagulase-negative staphylococcus count showed a range of variation from <4.5 logCFU.g^-1 to 5.6 logCFU.g^-1. The ability of Staphylococcus strains to form biofilm in stainless steel was demonstrated in different works (Michu et al., 2011; Teh et al., 2011; Simões et al., 2010; Planchon et al., 2006). These results attest to the demand for more controls during the cleaning of the plant. Some preliminary work reported that some strains of either positive and negative coagulase staphylococcus are able to produce enterotoxins in food (Rall et al., 2010; Oliveira et al., 2010; Udo et al., 1999), which indicates that Staphylococcus spp. should be considered as an indicative of microbiological risk in SCM production.

4 Conclusion

The results of these study lead to the necessity of Brazilian industries to focus on decreasing the variability on composition, viscosity, size and number of lactose crystals and sensorial parameters of sweetened condensed milk. Even SCM seems to be an easy product to storage because of the low water activity and historical of heat treatment the results suggest the need of improvements in dairy industries controls to avoid microbiological contamination. From the results of this article is evident the need of performing a consumer test using international context and consumer sensory profiling applying emerging sensory methods.

Acknowledgements

This work was financially supported by The State of Minas Gerais Foundation of Support to Research (FAPEMIG), by the National Council for Scientific and Technological Development (CNPq) and CAPES.

• Practical Application: Chemical characterization of sweetened condensed milk.

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Publication Dates

• Publication in this collection
  26 Oct 2017
• Date of issue
  Apr-Jun 2018

History

• Received
  03 Feb 2017
• Accepted
  14 June 2017