A Simple Analytical Method for High-Throughput Screening of Major Sugars from Soybean by Normal-Phase HPLC with Evaporative Light Scattering Detection

Valliyodan, Babu; Shi, Haiying; Nguyen, Henry T.

doi:https://doi.org/10.1155/2015/757649

Chromatography Research International

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Abstract Introduction Materials and Methods Results and Discussion Conclusion Abbreviations Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2015 | Article ID 757649 | https://doi.org/10.1155/2015/757649

A Simple Analytical Method for High-Throughput Screening of Major Sugars from Soybean by Normal-Phase HPLC with Evaporative Light Scattering Detection

Babu Valliyodan,¹Haiying Shi,¹and Henry T. Nguyen¹

Academic Editor: Masami Shibukawa

Received26 Mar 2015

Accepted16 Jun 2015

Published01 Jul 2015

Abstract

This paper presents a simple analytical method for determining sugars in soybean (Glycine max (L.) Merr.) tissues. Sample preparation was modified from several early published methods. High-performance liquid chromatography (HPLC) equipped with an evaporative light scattering detector (ELSD) was used to separate, identify, and quantify seven sugars, including glucose, galactose, fructose, sucrose, melibiose, raffinose, and stachyose. Two mobile phases were programed into a gradient elution. Mobile phase A is pure water and mobile phase B is a mixture of acetonitrile and acetone 75 : 25 (v/v). Total chromatographic retention time is less than 20 minutes. This method has been validated for detection limit, calibration range, and intraday and interday repeatability. This method has been used analyzing more than 5000 soybean samples in the experiments studying natural genetic variation of sugar contents and components in soybean seeds and other tissues.

1. Introduction

Soybeans are naturally enriched with oil, protein, and carbohydrates. In food industries, soybeans are processed to several consumable soya products, such as soy milk, tofu, miso, soy sauce, natto, and soy meals. Soybeans are also important constituent of animal feeds. Flavors and nutritive values of soya foods are greatly affected by sugar contents of soybeans. Major sugar components in soybean are fructose, glucose, sucrose, raffinose, and stachyose. Fructose and glucose are monosaccharide, while sucrose is a disaccharide and these three sugars are easily digestible. Raffinose and stachyose are trisaccharide and tetrasaccharide, respectively, and belong to raffinose family oligosaccharides (RFOs). Human and other monogastric animals are not able to digest RFOs due to lack of an enzyme called alpha-galactosidase in their small intestine [1–3]. This allows RFOs to move to the lower gut where they act as substrate for fermentation by gut microbes and increase the flatulence inducing gases such as CO₂, CH₄, and H₂S causing abdominal discomfort and diarrhea [4, 5]. It has been reported that removal of RFOs from soybean meal results in a large increase in the metabolizable energy for chickens. These adverse effects such as flatulence and poor digestibility can severely limit the use of soybean in animal, including human, diets. All these studies suggest that the production of soybeans with low levels of RFOs and higher levels of sucrose is desirable for its enhanced food and feed qualities.

Sugar analysis has been primarily carried out by high performance liquid chromatography (HPLC) because of simplicity, accuracy, and separation ability. Chromatographic separation is achieved by appropriate combination of stationary phase and mobile phase. Stationary phases or HPLC columns for separating sugars are mainly categorized in three types with regard to packing materials: ligand exchange, normal phase, and anion-exchange. Mobile phases are prepared solutions that facilitate separation of sugars when they carry a sample through a column. Ligand-exchange columns are backboned with sulfonated polystyrene carrying a metal counter ion, such as calcium ions or sodium ions. They are environment friendly because of the use of pure water as the mobile phase [6] and are generally used for separating mono- and disaccharides. In the case of a normal phase, the packing material is silica gel or a polymer bonded with amino groups. Solutions of mixed water and acetonitrile are normally used as the mobile phase [7]. Normal phase can be used for separating sugars from a complex matrix. Anion-exchange columns are packed with polymeric resin attached with quaternary ammonium and such columns have to incorporate with a strong basic mobile phase (pH > 12) in sugar analysis.

Preferred chromatographic detection of sugars includes refractive index, UV-visible, fluoresce, pulsed amperometric detector, mass spectrometry, and evaporative light scattering. Refractive index (RI) detector has been used for analyzing oligosaccharides from soybean since the 70’s [8] and it is still a popular detector in soybean sugar analyses [9, 10]. Nevertheless, sensitivity and selectivity of this detector are poor. Due to the lack of chromophore at mid-UV wavelengths, carbohydrates are only detectable by UV-visible detector at the deeper UV range of 190 nm–195 nm. At such short wavelengths, interference from mobile phase is inevitable since most of the solvents absorb strongly as well. To enhance UV absorption of carbohydrate, some researchers resorted to sample derivatization [11–13]. Such sample treatment complicated the analytical procedures and contributed to preventable assay variability. Pulsed amperometric detector coupled with anion exchange column (HPAEC-PAD) is one of the popular HPLC systems for carbohydrate analysis due to its better sensitivity and selectivity [14–17]. However, reliability of HPAEC-PAD is dependent on the chemical purity of the mobile phase. The HPAEC-PAD requires high alkaline (pH > 12) mobile phase. Dissolved carbon dioxide from the atmosphere, or carbonate contamination of mobile phase, reduces column retaining power as a result of the buildup of interfering anions in the stationary phase. A common problem of the above detectors is baseline drifting with gradient elution. Popularity of evaporative light scattering detection (ELSD) is fast growing in chemical and biochemical analysis. In the past decade ELSD has been widely utilized for analyzing lipids and carbohydrates in plants, fruits, beverages, milks, and several other different tissues and organisms [18–25]. The principle of evaporating solvents prior to detection employed in the ELSD resolves baseline shifting and therefore enhances baseline stability and response intensity.

Sample preparation is an important step in method development for soybean and other plants. The procedure normally consists of sample extraction and sample purification. In some studies, soybean flour or powder was first defatted using hexane or other appropriate solvents. The defatted samples were then refluxed in ethanol aqueous solutions at elevated temperatures for a certain length of time [26, 27]. Giannoccaro et al. reported that water extracts sugars most efficiently from the nondefatted soybeans [28]. The extract solution was then purified with an organic solvent, such as acetonitrile or ethanol, to remove soluble proteins [14, 29].

In this paper we report a simplified method to analyze sugars from soybean. Sample preparation was successively conducted in the same sample vial. It overcame long and elaborate procedures engaged in early methods, such as to separate soybean tissues from the extract, to allocate, to dry, and to redissolve the extracted solution. The HPLC conditions of this method were optimized for high chromatographic resolution and short run time. Addition of 25% acetone to acetonitrile mobile phase was found critical to improve separation of galactose from its adjacent epimer glucose. This method is highly useful for screening large scale soybean populations in genetic and breeding programs for crop improvement with value-added traits.

2. Materials and Methods

2.1. Materials and HPLC System

Sugar standards, D-fructose, D-(+) galactose, D-(+) glucose, sucrose, D-(+) melibiose, D-(+) raffinose pentahydrate, and stachyose hydrate, were purchased from Sigma Aldrich (St Louis, MO, U.S.A). HPLC grade of acetonitrile, acetone, and water were purchased from Fisher Scientific (Hampton, NH, U.S.A). Compressed nitrogen of ultrahigh-purity (UHP) grade was purchased from Praxair (Danbury, CT, U.S.A). The HPLC-ELSD system was Agilent 1200 series (Agilent, U.S.A). The Prevail Carbohydrate ES columns, 5 μ 250 mm × 4.6 mm, and guard columns, 7.5 × 4.6 mm, were from Grace Davison Discovery Sciences (Deerfield, IL, U.S.A). Soybean seeds were harvested from the Bradford Research Farm, Columbia, Missouri, and Delta Research Center, Portageville, Missouri.

2.2. Sample and Standard Preparation

Approximately one gram of soybean seeds was ground using Thomas Wiley Mini-Mill fitted with 20-mesh screen. The ground powder was lyophilized for two days in a Labconco Freeze Dry System (Labconco, U.S.A.). Dried soybean powder of 90.25 () mg was weighed and mixed with 900 μL HPLC-grade water in 2 mL centrifuge vials. The vials were incubated at 55°C with 250 rpm agitation for 30 minutes followed by 30-second high speed vortex. After cooling down to room temperature, 900 μL HPLC grade acetonitrile was blended in. The suspension was centrifuged for 30 minutes at 13.3 × 1000 min⁻¹ ×g. The supernatant was further diluted five times with acetonitrile: water mixture of 65 : 35 (v/v) before being subjected to HPLC analysis. Sugar standards were prepared in water with concentrations of 50, 100, 200, 300, 400, 500, and 1000 μg/mL.

2.3. HPLC Analysis

Two kinds of mobile phase were prepared: mobile phase A was pure water, and mobile phase B was acetonitrile: acetone mixture of 75 : 25 (v/v). Flow rate and gradient of phases A and B (Table 1) were optimized for complete separation of the sugars in the shortest run time. Column temperature was maintained at 35°C throughout the gradient program. Detector temperature was isothermal at 55°C. Nebulizer pressure was 3.4 bar. Ultrapurity-grade nitrogen (grade 5.0) was used as the nebulizer gas. Sample injection volume was 5 μL.

3. Results and Discussion

3.1. Sample Preparation

Soybean is known for high protein. A substantial amount of protein concurrently dissolves in water during extraction. Purification of the extract is therefore very important to eliminate matrix interference from the dissolved proteins. Protein was commonly precipitated with 95% or pure acetonitrile. Earlier methods required four to seven steps to conduct purification, which included preparation of 95% acetonitrile, separation of suspended sugar solution from soybean tissues, transferring a given volume of supernatant to a new tube, blending in acetonitrile, removing protein, drying, and redissolving sugars. Our method requires only two steps, that is, directly adding pure acetonitrile to the same sample vial after the completion of extraction and removing soybean tissue and precipitated proteins simultaneously. This modified method effectively eliminates process variables as less preparation steps were involved.

Dilution is another key factor in this method. Low concentration of sugars is desirable not only for optimum peak shape and separation but also for an extended column life cycle. However, abundance of different sugars varies greatly in soybean; for example, Hou et al. showed that soybean is composed of 0.07–0.15% glucose, 0.08–0.19% fructose, 5.6–9.4% sucrose, 0.3–1.4% raffinose, and 0.3–6% stachyose [30]. After taking consideration of all possible impacts, we set the dilution factor as 10, that is, solvent-to-sample ratio of 10 : 1 (mg/mL).

3.2. Chromatographic Separation

The HPLC mobile phase plays a crucial role in sugar separation. Addition of acetone to acetonitrile mobile phase differentiates this method from other published methods. As shown in Figure 1, acetone effectively improves peak resolution without additional elution time. Figures 1(a) and 1(b) represent chromatograms obtained from mobile phases with and without acetone. The acetone with a portion of 20% to 30% in acetonitrile was capable of resolving galactose and glucose isomers although galactose was under the detection limit (very low concentrations) in most of the soybean seeds. The 10% window of acetone concentration in mobile phase makes this method robust. The elution gradient was accomplished with the mixed solvents of acetone and acetonitrile (25/75) and water. Emergence of all sugars occurred before 14 minutes. Six more minutes were programmed to stabilize the system. At retention time of 14.1 minutes, the flow rate was promptly reduced to 0.2 mL/min from 1.2 mL/min, and meanwhile the mobile phase ratio of A and B was changed to 20 : 80 from 50 : 50 (see Table 1). This gradient change allows the system to reach its initial stage without causing high column back pressure.

(a)

(b)

3.3. Identification and Quantification

Each sugar component was recognized by its distinctive retention time. Commercial references were used for confirmation. Under the chromatographic conditions described in Section 2, sugars eluted in the order of fructose, galactose, glucose, sucrose, melibiose, raffinose, and stachyose as shown in Figure 2.

Figure 3 represents three types of sugar distribution of soybean germplasm seeds. Figure 3(a) is from a soybean germplasm that has multiple sugars and each sugar has a significant amount. Figure 3(b) indicates that sucrose and stachyose are predominant components in another soybean germplasm line. The chromatogram (Figure 3(c)) is from a different soybean germplasm and this sugar profile is most desirable for animal feed uses. This germplasm line with high sucrose, low raffinose, and low stachyose was discovered after screening more than 1000 germplasm lines (Plant Introductions) obtained from the USDA seed bank (USDA-GRIN) and grown in the University of Missouri (MU) research fields. During all of the germplasm screenings, galactose was least abundant and not detectable in most of the soybean lines. Trace amount of melibiose was detected only in few soybean lines.

(a)

(b)

(c)

Quantification of the sugars was accomplished by calibration curves that ranged from 50 to 1000 μg/mL (Figures 4(a) and 4(b)). Fundamentally, an ELSD responds to concentration change in a nonlinear fashion. The relationship between measured peak area or peak height and sample concentrations is reflected by a 2nd-order polynomial equation, as shown below:where is peak area (or peak height), is quadratic coefficient, and is sample concentration. To correct the quadratic effect, a mathematical model [31–33] is usually used, such as . We found a solid linear regression after logarithmic conversion in the specified range of 50 to 1000 μg/mL except for galactose which is slightly narrowed down to the range of 200 to 1000 μg/mL. Correlation coefficient values of all sugars were greater than 0.99. This model allows us to perform quantification directly from (1) without applying other conversion or mathematical models.

(a)

(b)

3.4. Method Validation: Spike Recovery Rate, Detection Limit, and Precision Test

Recovery rate of each sugar was obtained by spiking known amount of standards at different steps of sample preparation. In one of the spiking experiments, standards were added to the dried soybean samples. In another experiment spike standards were added to the sugar extracts. In both cases, 500 μg/mL of each sugar standard was spiked. Each experiment was repeated four times. The recovery result was shown in Table 2. Most of the spiked standards were recovered close to 100%. Detection limit (DL) of each individual sugar was calculated based on the formula below:where 50 is the concentration of standard in the unit of μg/mL used for DL determination, and S/N is the ratio of signal over noise produced from the 50 μg/mL standard.

Relative standard deviation (RSD%) of both interday and intraday was determined and reported in Table 2. Intraday variation was less than 3% and interday variation was less than 10%, except for melibiose that is at a trace level and therefore detected with a higher variation.

Accuracy of the method was further evaluated on an HPAEC-PAD system from an external lab. Six finely ground and dried soybean seed samples were verified by the HPAEC-PAD for sucrose, raffinose, and stachyose. Table 3 shows that the results are close from one method to the other, except that raffinose in sample-1 and sample-5 is not detectable by HPAEC-PAD. Note that each data in Table 3 is an average value of three replicates. Sample-1 and sample-5 have been frequently used in our lab as daily controls to monitor analysis variations. Their values have been consistently obtained as 0.8% and 0.6%, respectively. The present method evidently demonstrated high sensitivity.

3.5. Application of the Method

This analytical method has played a significant role in the research projects on the natural genetic variation of sugar contents and components in soybean seeds and other tissues conducted at the University of Missouri. The soy industry and soy food markets need soybeans with high-sucrose, low-raffinose, and stachyose content and with low trypsin inhibitor activity as one package. This will provide high levels of energy and yield better tasting food and feed without inducing indigestion problems. The extensive screening of soybean plant introductions (PIs) and current soybean varieties for natural genetic variation will help identifying new sources for gene discovery and further application in molecular breeding and crop improvement programs. More than 5000 lines have been screened. Several soybean PIs with low raffinose and stachyose and high sucrose in seed tissues have been identified. Table 4 shows the minimum and maximum levels of major sugar components after a statistical analysis of 540 soybean germplasm lines with maturity groups III and IV. These maturity groups are highly suitable for Missouri and other US soybean production areas. Total sugars varied from 56.7 to 160.3 mg/g that was equivalent to 5.7% to 16.0% of dry matter. For an example, Figure 5 shows the distribution of sucrose content in the selected soybean germplasm lines. A few lines with as high as 9-10% sucrose were selected after screening around 1500 lines for crossing and population development for gene discovery.

4. Conclusion

Developing an HPLC method that can resolve a mixture of mono-, di-, tri-, and oligosaccharides in a short elution time is a challenge. Earlier described methods had several shortcomings and some of the methods have shown an unacceptable long retention time for raffinose and stachyose while some others had poor resolution or broad peaks. The method presented in this paper is simple, fast, reliable, and successful in the case of high throughput screening. The HPLC of this method is comprised of a column, specially packed for carbohydrate assay and equipped with an ELSD detector. The mobile phase is 25% acetone in acetonitrile and water. All major sugars in soybean, that is, fructose, glucose, sucrose, raffinose, and stachyose, are completely resolved in less than 14 minutes. Sample preparation procedure is much simplified and improved from known methods. The optimal low sample-to-solvent ratio (10 mg : 1 mL) lessened sample load and extended HPLC column life. More than 1500 samples can be analyzed on a single HPLC column. The detection limit in this method is low; for example, sucrose is 9.3 ppm and others are lower than 60 ppm. The selection of calibration range allows direct quantification from the nonlinear detector output. Robustness and high throughput application of this method help soybeans breeding programs including the one for developing soybean varieties with reduced RFOs and higher metabolizable energy.

Abbreviations

RFO:	Raffinose family oligosaccharides
HPLC:	High performance liquid chromatography
UV:	Ultraviolet
RI:	Refractive index
HPAEC-PAD:	High-performance anion-exchange chromatography with pulsed amperometric detection
ELSD:	Evaporative light scattering detector
PI:	Plant introduction.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

This study was supported by the United Soybean Board, Grant no. 1236. The authors acknowledge Dr. Grover J. Shannon for soybean germplasm seed increase at the Delta Research Center, University of Missouri, Portageville, Missouri, and Dr. Tri D. Vuong, Department of Plant Science, University of Missouri, for helping collection of more than 5000 data using this method.

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Copyright © 2015 Babu Valliyodan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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