Introduction
Rice is one of the main cereal crops worldwide and its starch in one of the key ingredients of several food products. According to commercial importance, there are over two thousand rice varieties grown all around the world (Deepa et al., 2008).
FAOSTAT (2017) informed that rice production in 2013 was around 732 Mt, from which, around 23 Mt were produced in Latin America and the Caribbean. Colombia has an outstanding position in Latin America due to the varieties provided by the National Federation of Rice (Fedearroz). Over 30 varieties have been released since 1970. From 1997, F50, Colombia XXI, F2000, F473, F369, F275, and more recently, F60 and F174 varieties have been released.
In the first semester of 2016, Colombia achieved a rice production of 765,355 t, from which the province of Tolima produced approximately 38% (Dane, 2017). Tolima has the most competitive milling industry of the country, thanks to its degree of entrepreneurial development, supply lines, infrastructure and closeness to the most important urban markets. However, not all rice production is commercialized as whole or polish grains. The broken or small grains could be lower than a quarter of a grain in size and they are often used in animal feeding and beer industry.
According to Fedearroz (Colombia), there is a strong difference in rice prices according to its quality, which leads to the need of setting other uses that generate added value that can be more representative in economy and thus, increase the yield of rice production chain, additionally associated to the innovation process which grants an alternative to the industry for exploitation and optimization of the resources facing global markets.
If it is considered that FAO (2006) observes a series of opportunities in the production of starch that should be taken advantage of, in the Tolima region there are important limitations faced by the industry pointed out, such as irregularity in the supply and the unequal quality of the final product. Just the same, there is a dissatisfied demand of starch, which creates the necessity of finding new sources of such product.
The goal of the current study is to assess physicochemical and thermal properties of native starches from rice varieties grown in Tolima province and determine their functionality concerning their assessed properties.
Materials and methods
Starch extraction
Starch extraction from varieties Fedearroz 473 (F473), Fedearroz 50 (F50) and Fedearroz 60 (F60) was carried out based on the method by Devi et al. (2009). The samples were supplied by Las Lagunas Experimental Center of Fedearroz in Saldaña (Colombia).
Amylose content
The determination of amylose was carried out by Iodine-based colorimetric method described by Juliano (1985). Iodine-based colorimetric method remains the most widespread method for the determination of amylose content of starch (Mahmood et al., 2007). Potato amylose (analytical grade) was used as reference.
Microscopic appearance
Shape and diameter of starch granules were determined using a fluorescence microscope (Axio Imager A1, Carl Zeiss, Germany) and the provided software (Axio Vision AC rel. l, Carl Zeiss, Germany).
Swelling capacity and solubility
Starch suspensions (2%, w/v) were preheated in a water bath at 90°C for 30 min and were centrifuged at 2,000 rpm for 20 min. The supernatants were withdrawn and sediments were weighed. Supernatant aliquots were dried at 100°C in a convective oven until reaching a constant weight. Swelling capacity (g g-1, dry basis) and solubility (%) were calculated as equation (1) and (2), respectively.
Turbidity
Turbidity was measured according to Craig et al. (1989). An aqueous suspension of starch at 2% was heated in a boiling water bath for 1 h with constant stirring. The suspension was cooled down for 1 h at 30°C and turbidity was deter-mined measuring absorbance at 620 nm. Distilled water was used as blank.
Syneresis
Syneresis was measured according to Singh et al. (2006) with some modifications. A starch suspension (5% w/v, dry starch mass) was heated in a water bath at 90°C for 20 min. After cooling at ~25°C, samples were located in a freezer at -10°C during 48 h and then put in a water bath at 30°C to defreeze until thermal equilibrium. Syneresis was measured in percentage as the quantity of water released after centrifuging at 2,500 rpm for 40 min.
Thermal properties
Differential scanning calorimetry (DSC) experiments were performed using a Perkin Elmer DSC 8000 (Perkin Elmer, Waltham, MA, USA). The instrument was calibrated with indium (melting point 156.6°C, fusion enthalpy 28.45 J g-1) at a heat flux of 5°C/min. Aluminum pans (ref 0219-0041, Perkin Elmer, Waltham, MA, USA) were used as recipients for the samples. For sample preparation, approximately 2 mg of starch were put in aluminum capsules for DSC analysis and distilled water was added (1:2 w/w starch:water) (Vandeputte and Delcour, 2004). Capsules were weighed, sealed and stored at room temperature for 24 h. DSC experiments were carried out under nitrogen atmosphere (99.5% purity, ~20 mL min-1 gas flow) and at a heating rate of 5°C/min from 30°C to 110°C. The PYRIS 10.1 software (Perkin Elmer, Waltham, MA, USA) was used to analyze the thermal data. The gelatinization onset, peak and end temperatures, and gelatinization enthalpies were determined in order to characterize the thermal behavior of rice starches. Results were averages of eight measurements for each rice variety.
Pasting properties
Each starch sample (at ~10% moisture content) was suspended in distilled water to obtain 10% suspension. The amylograms were obtained using a micro Brabender Viscoamylograph (Brabender OHG Duisburg, Germany) where suspensions were heated from 30 to 95°C at 10°C/min, held at this temperature for 3 min, and cooled to 30°C at 10°C/min (Suh and Jane, 2003).
Statistical analysis
Statistically differences between the three rice varieties were assessed via one-way analysis of variance (ANOVA), at a significance level of 95%, for granule size, solubility, swelling capacity, syneresis, amylose content, turbidity and thermal properties. Multiple range tests (MRT) were carried out to determine which means are significantly different from which others using the Fisher's least significant difference (LSD) procedure. ANOVA and MRT were performed using Statgraphics Centurion XV software (StatPoint Technologies Inc., USA).
Results and Discussion
Amylose content
F50 and F60 varieties did not show significant differences for amylose content, whose values were 21.4 and 21.5% respectively, as shown in figure 1A. Starch from variety F473 showed significant variations concerning other varieties and the highest content of amylose (23.0%). Data collected for amylose content are similar to the ones reported by Patindol et al. (2007) (between 17.0 and 21.6%) and by Falade and Christopher (2015) (between 20.7 and 26.0%).
It has been reported that differences in amylose content of starch vary due to weather and agronomic conditions during grain development (Singh et al., 2006; Wang et al., 2002; Wang et al., 2010).
Amylose content seems to be the main factor that controls many of the physicochemical properties of rice starch, such as turbidity, syneresis, pasting, gelatinization and retrogradation properties (Wickramasinghe and Noda, 2008). Just the same, it plays a key role in starch digestion. The ones that show low amylose content are more easily digested than the ones with a higher content (Riley et al., 2004).
Microscopic appearance
Microscopic appearance of starch granules is observed in figure 2. Analyzed starches showed polyhedral and irregular shapes as reported by Sodhi and Singh (2003). Average granular size of F473, F50 and F60 varieties was 9.43 ±0.43 µm, 7.43 ±1.50 µm and 7.23 ±0.88 µm, respectively; similar data to the ones reported by Yang et al. (2006). Starches from varieties F50 and F60 did not show significant differences; on the other hand, starches from varieties F473 and F60 exhibited significant variations, as shown in Figure 1B.
Singh et al. (2003) concluded that amylose content varies with granule size; the higher average size the higher amylose content. Starch from variety F473, which presents the highest average diameter, also shows the highest amylose content. The other two starches (F50 and F60) whose average granule sizes are lower than the one from F473 variety, but without significant difference between them, presented lower amylose contents.
Differences shown between size and structure of starch granules match their botanical origin (Hoover, 2001). Rice starch granules are the smallest among cereal grains, with a size between 2 and 7 µm (Vandeputte and Delcour, 2004). Variation, particularly in size and granule form is associated to different functional properties in diverse alimentary systems, such as pasting and mixing, as well as to the possibility of relating granule morphology to elaboration processes or nutritional qualities (Peterson and Fulcher, 2001).
Swelling capacity and solubility
Swelling capacity and water absorption occurs due to water adherence to the surface of starch granules and leads the granules to swell. This behavior can be attributed to the relation amylose/amylopectin, given that water particles are trapped in amylopectin structure, as well as the difference in the distribution of the chain length (Bello-Perez et al., 1998). Just the same, Cai et al. (2015) determined that swelling capacity is positively related to short amylopectin chains and their branching degree. In the same way, a positive relation between solubility and amylose content was determined.
Values of swelling capacity for F473, F50 and F60 varieties showed significant differences, as shown in Figure 1C. Swelling capacity values are similar to the ones reported by Wickramasinghe and Noda (2008); values ranging between 7.33 and 16.12 g g-1. The behavior of swelling capacity concerning to amylose content was coherent with those reported by Sodhi and Singh (2003) and Wang et al. (2010), who concluded that there is a negative correlation of these two properties.
Starch from variety F50, whose amylose percentage was the lowest, showed the highest swelling capacity (10.67±1.06 g g-1). In the same way, starch from variety F473, whose percentage was the highest, showed the lowest swelling capacity (7.79±0.38 g g-1).
Concerning solubility, starches from varieties F473, F50 and F60 presented significant differences with values of 2.71±0.27%, 9.85±0.27% and 6.88±0.45%, respectively (Fig. 1D). Solubility values obtained by analyzed starch are similar to the ones reported by Chang et al. (2010), which obtained solubility values for native starches under 10% (8.5, 7.5 and 7.4%). Lin et al. (2011) reported that there is a negative correlation between amylose content and solubility. Starch of F473 variety, whose amylose content was the highest, presented the lowest solubility value (2.71 ±0.27%). Just the same, F50 variety starch showed the highest solubility (9.85±0.77%).
Although the F50 and F60 varieties had similar amylose contents, they showed significant differences between swelling and solubility that could be attributed to other factors not considered in this study, such as the branching degree of the amylopectin (Wang et al., 2010).
Turbidity
Turbidity is inversely related to the transparence of pastes, the dispersion of the solutes and the tendency to the retrogradation of the starches. The capacity to transmit light when exposed to a ray of light passing through these pastes defines its clarity. Turbidity values showed significant differences among varieties (Fig. 1E). Starches that show a higher quantity of amylose are more difficulty dispersed, which increase their turbidity, just like the ones that show a higher swelling capacity (Novelo and Betancur, 2005). This behavior occurred in F50 variety starch, showing higher clarity, lower amylose content (21.28%) and a higher swelling capacity (10.66 g g-1). However, absorbance values registered for analyzed samples are higher than the ones reported for rice starch, which allows for assumption that pastes are more opaque and make them feasible for food clouding.
Syneresis
Syneresis values of analyzed starches showed significant differences. Values ranged between 8.0 and 22.3%, as shown in figure 1F. The starch that presented the best stability to freezing defrosting was F50. The highest syneresis was given by F473 starch (22.3%) since it presented low stability in freezing-defrosting processes, causing loss of water trapped in gel. Some researchers have reported low syneresis values (between 0.01 and 1.81%) for rice starch stored at 4°C for 24 h (Singh et al., 2003; Singh et al., 2006). Syneresis values obtained in analyzed starches are higher than the ones reported by Sodhi and Singh (2003), whose records were located between 0.04 and 2.41% in 48 h. On the same way, analyzed starches registered lower values that the ones given by Wang et al. (2010), whose syneresis was between 22.9% and 46.4% in 22 h.
Starch from variety F473, which presented highest syneresis and amylose content, showed the lowest swelling capacity and highest turbidity. This behavior is coherent with that reported by Singh et al. (2006), who concluded that there is a negative correlation between swelling capacity and syneresis, and a positive correlation between the latter one and turbidity. Such things occur because syneresis happens due to the increase of molecular association among starch chains, at reduced temperature, thus eliminating water from the gel structure. For gels of waxy rice starch, or with little amylose, there is a higher resistance to syneresis, because of the formation of a lower number of intermolecular associations (Bao et al., 2004).
Sodhi and Singh (2003) established that there is a positive relationship between granule size, amylose content, syneresis and turbidity. Such behavior corresponds to the values of analyzed starches, from which, starch from F473 variety presented the highest granule size, the highest amylose content and the highest syneresis percentage. Despite the relationship of such properties with amylose content, F60 and F50 showed statistically significant differences between syneresis and turbidity, which could be attributed to differences in the degree of branching of amylopectin chains, as mentioned above.
Thermal properties
Gelatinization onset ( To ), peak ( Tp ) and end ( Te ) temperatures for F473, F50 and F60 rice varieties are shown in Figure 3. Gelatinization enthalpies (AH) were 9.47±0.38 J g-1, 8.62±0.33 J g-1 and 8.38±0.34 J g-1 for F473, F50 and F60, respectively. Varieties F50 and F60 did not show significant differences for To and AH. The highest To was registered from variety F473 (64.6°C). Average To values for were similar to the ones reported by Noosuk et al. (2003), who determined onset temperatures around 62.7°C for Thai rice starches.
Analyzed starches showed significant differences for Tp and T e. F473 presented the highest T p with a 69.31°C. For T e, starches from the three varieties showed significant differences, being F473 the one with the highest value (73.90°C). The average values presented by analyzed starches were similar to the ones reported by Wang and Wang (2004) (73.1°C) for starch from long-grain rice flour.
Gelatinization enthalpy (AH) reflects the loss of molecular order (Cooke and Gidley, 1992). Values of AH of analyzed starches are similar to the ones reported by (Singh et al. 2007), whose values were between 8.2 and 9.8 J g-1 for different indica rice cultivars.
According Wang et al. (2010), there is a positive correlation between ΔH and gelatinization temperatures. Variation in To and ΔH in starches of different varieties could be due to differences in the quantities of longer amylopectin chains. These longer chains require a higher temperature to dissociate completely than the required for short double helixes (Yamin et al., 1999). This correlation was evidenced in F473 variety starch, whose enthalpy was the highest with a value of 9.47 J g-1, just like the highest To , Tp and Te .
Concerning the relation between amylose content and gelatinization temperatures, contradictory studies have been found. Szczodrak and Pomeranz (1992) concluded that lower enthalpy values are related to higher amylose contents. Sodhi andSingh (2003) concluded that starches with a lower polysaccharide content presented a higher swelling capacity and transition temperatures. Varavinit et al. (2003) informed that there is a positive correlation of gelatinization with amylose content; this behavior was registered from starches of F473, F50 and F60 varieties. On the other hand, some studies (Singh et al., 2006; Park et al., 2007) did not report correlations between amylose content and thermal properties.
Pasting properties
Just as shown in table 1, temperatures at the beginning of gelatinization by viscography for F50, F60 and F473 varieties were 67.7, 67.2 and 70.8°C respectively; similar data to the ones reported previously by DSC, which confirm the behavior of analyzed varieties.
In figure 4, viscosity behavior is observed concerning time and temperature of F473 starch, which presented the maximum viscosity with 196 Brabender units (BU) and the highest amylose content. This behavior is coherent with the information reported by Singh et al. (2006), who established a positive correlation between these two properties. The amylogram shows a tendency to retrogradation, producing the syneresis process. The presence of amylose favors retrogradation during cooling period due to the annealing of the soluble starch polymers and the insoluble granular fragments (Hoover, 2002). Besides, this starch presented the highest syneresis value, highest gelatinization temperatures, higher paste stability and the lowest cooking easiness. The paste stability is related to the variation of the maximum viscosity and the viscosity during the maintenance period, while the cooking easiness corresponds to the difference between the time to reach the maximum viscosity and the gelatinization start.
For the case of F50 starch, figure 4 shows a maximum viscosity of 182 BU, the highest gel instability with a value of 46 BU and greater ease of cooking with 2.6 min. This starch presented the lowest amylose content and showed tendency to retrogradation. The difference of behaviors in the cooking easiness can be attributed to the fact that there is presence of starch granules of F50 variety that occupy a bigger surface area in the solution, meanwhile starch granules of F473 variety, with a bigger diameter, has a higher incidence in cooking time (Hoover, 2002).
For the case of F60 starch, the Figure 4 shows a maximum viscosity of 168 BU, gel instability with a value of 44 BU and a cooking easiness of 2.8 min in the amylogram, a tendency to retrogradation can be observed.
Differences in viscosity are mostly due to amylopectin presence in starch (Lin et al. 2011), since it is the polymer that solubilizes fastest in aqueous means and gives viscoelastic stability to the pasting curve, when this solution is exposed to sudden temperature changes (Wang et al., 2003)
Food applications
Starches with a higher amylose content presented bigger granule size, higher turbidity, maximum viscosity and temperature, and gelatinization enthalpy. On the contrary, they showed the lowest values in swelling capacity and solubility. In food applications, it is desirable that starches have a high swelling capacity and viscosity as well as low solubility and syneresis. However, from the functional point of view, properties limit the specific use of starches in the different applications (Granados et al., 2014).
Swelling capacity and solubility of native rice starches are lower than most starches from other sources used in the industry. This behavior can be associated to the size granule that, in the case of rice starches, is smaller than from other sources and to amylose content, generally presented in a higher proportion. Low swelling capacity of rice starch restricts it as humidity retainer.
Syneresis in rice starches presented a relatively lower value than starches from other botanical sources, possibly due to the fact that starches in other sources have different retrogradation rates and at different degrees. Just the same way, amylose content and amylopectin chains length determine this phenomenon. Syneresis value presented by starches makes them feasible in the use of products that require a certain exudation degree within their appearance.
From the point of view of functional behavior, starch from studied varieties presents low solubility, low syneresis and a small size of the granule (better palatability). On the same way, opaque pastes that make them feasible to be used as clouding agents.
Physicochemical and thermal properties of starches from three rice varieties grown in Colombia were evaluated in order to establish potential uses. The study determined that low swelling capacity of starches in varieties F50, F60 and F473, does not make them eligible to be used as humidity retainers (e.g. meat products). Otherwise, by showing high absorbance values and presenting opaque pastes, they are feasible to be used in slightly transparent products, such as mayonnaises, concentrated drinks or bakery products. Just the same, the low syneresis presented by F50 variety enables it to be used in soups, cake fillings and child foods. On the contrary, F60 and F473 varieties are potential for the use of foods that require certain exudation level like sauces or dressings. Low gelatinization temperatures do not make them desirable in products that require high processing temperatures such as canned foods. Instead, they can be used in the elaboration of custards and puddings (Hernández et., al 2008). Starch from variety F473 showed the best gel stability, which makes it eligible for foods that require cooling in their process.
Conclusions
The present study is established as the first analysis carried out on rice starches of Colombian varieties recorded so far. Starch from F473 variety showed significant differences with F50 and F60 varieties regarding to amylose content, syneresis, swelling, solubility, turbidity and thermal properties. These differences are largely due to each variety as well as amylose content and granule size. On the other hand, the analyzed starches could be applied in the food sector, especially as clouding, but not as a moisture retainer.
Additional studies should be carried out with the analyzed varieties in order to evaluate a greater number of properties, and thus establish with a wider range of industrial uses.