Preliminary Comparison of Fatty Acid Composition(s) of Selected Commercial Rice Brands Commonly Consumed in North America

Research Article

Austin J Nutri Food Sci. 2016; 4(1): 1073.

Preliminary Comparison of Fatty Acid Composition(s) of Selected Commercial Rice Brands Commonly Consumed in North America

Gines BR¹, Gray J² and Abugri DA²*

¹Department of Agricultural, Environmental Sciences, Tuskegee University, USA

²Department of Chemistry, Department of Biology, Tuskegee University, USA

*Corresponding author: Abugri DA, Department of Biology/Chemistry, College of Arts and Sciences, Tuskegee University, Tuskegee, AL, 36088, USA

Received: August 31, 2015; Accepted: December 23, 2015; Published: January 11, 2016

Abstract

There is growing interest in whole cereals consumption and research in recent years partly due to their rich sources of bioactive and nutritious compounds for human health. Many different brands of rice are widely cultivated and consumed in North America and Asia. Here, we investigated the fatty acid profile(s) of five selected rice brands commonly consumed in North America via gas chromatography analysis. All rice brands showed desirable quantities of nutritional fatty acids, with the essential fatty acid linoleic acid as a major fatty acid component. Linoleic (C18:2n6 cis) acid followed by linolenic (C18:3n3) acid were the predominant polyunsaturated fatty acids found in all of the rice brands. Linoleic acid was found to represent 34.8-38.1% of the identified fatty acids while linolenic represents 1.13-1.58%. Overall, the brown rice brands showed relatively higher amounts of unsaturated fatty acids than the white rice brands. The data presented in this article adds to the nutritional and potential health value of these rice cultivars.

Keywords: Rice; Nutrition; Health; Lipids; Fatty acids; North america

Introduction

Rice (Oryza sativa L.) is one of the major grains produced and consumed worldwide [1-3]. In continents such as North America and Asia, every part of the cereal has unique applications. Additionally, rice remains a staple food worldwide [3]. In US alone, it has been reported that about 72.6% to 77.2% of the human population consumes either white or brown rice [4]. The underline factors to this trend have been ethnicity, nationality, race, and socio-economic status level among others [4]. Besides its human consumption, it is directly or indirectly used as animal feeds especially its husks, stems and leaves [5]. For many years, it has been known that rice is an important cereal with great sources of essential fatty acids, amino acids, and other bioactive compounds such as vitamins and phenolic acids [1,6-10].

Wild (Zizania sp.) and regular rice (O. sativa L.) have been shown to contain high amounts of the essential fatty acid linoleic acid, which constitutes 27.3 – 41.0% of the total fatty acids present across a number of rice bran varieties [11]. Linoleic acid is found in the lipids of cell membranes and is used in the biosynthesis of many prostaglandins, proving to be a major regulator of many cellular processes. Additionally, derived indices from fatty acid composition, such as omega 6/omega 3 (n6/n3) ratios, help to evaluate the quality of lipid fraction for different brands or cultivar rice from a nutritional point of view [8,12,13].

Rice is often marketed based on their color and quality with little known about their nutritional compositions. However, little or no data has been published on different commercial rice brands commonly sold in the USA in regards their nutritional compositions, in particular the fatty acid profiles. Thus, the present study is aimed at characterizing and determining the fatty acid composition and derived nutritional indices to evaluate from a nutritional point of view the selected brands rice commonly sold and consumed in the USA.

Materials and Methods

Rice samples

Five varieties of rice, Oryza sativa L: were purchased from a supermarket in Tuskegee, AL, USA. Great Value® long grain (GV LG) enriched rice (white), Great Value® (GV) brown rice, and Mahatma® (M) brown rice were grown in the USA. Mahatma® Jasmine rice (white) is a product of Thailand, and Golden Star® Basmati rice (white) was grown in India. These grains were ground into small mesh size (< 2 mm) using a coffee grinder (Mr. Coffee® grinder, model IDS77). The Basmati rice was ground to < 2 mm using a Rival® 6-speed blender, model No. RV-928. The samples were stored for a week at room temperature (25°C) in sealed polyethylene zip-lock bags prior to the analyses. This method of storage was adopted to mimic normal household treatment of rice. All reagents were of HPLC grades purchased from Sigma-Aldrich and Fischer Scientific.

FAME preparation: Fatty Acid Methyl Esters (FAMEs) were extracted using approximately 0.5 g of rice flour using a direct methylation method [14]. Briefly, rice samples were placed into a 16 x 125 mm screw-cap Pyrex culture tube. One milliliter of BF3 in MeOH (14%, wt/vol) was added to the Pyrex tubes containing the samples. The tubes were vortexes for 15 seconds to enhance complete mixture of the solvent and sample matrix, then incubated at 100- 110°C using a heating block for 30 minutes. Following incubation at 100-110°C , the samples were put on ice for 5 min to completely cool to room temperature [14]. One ml of deionizer water and 2 mL of n-hexane (HPLC grade, Sigma Aldrich) were then added, and the tubes were vortexes for 3 minutes. After centrifugation at 2000 rpm for 5 min, rpm using a clinical tabletop centrifuge (model number IEC Centra® CL 2, International Equipment Company, Needham Heights, MA, USA). The hexane layer containing the FAMEs was collected into a gas chromatography (GC) vial. The vial was capped and placed at -20°C until GC analysis. FAMEs were not dried.

Gas liquid chromatography (GLC) analysis of FAMEs

Individual fatty acids were separated and quantified using previous procedures reported by Abugri et al. [15]. Briefly, an Agilent GLC 6890N equipped with flame ionization detector was used for the analysis. The rice sample FAMEs were injected into the column via an automated split injector with a split ratio of 20:1. Separations of individual fatty acids were done using an Agilent DB23 capillary column (model no.122-2362, 60.0 m×250μm× 0.25μm, J and W Scientific). The set up conditions were; initial oven temperature was set at 130 Co, held for 1 min, subsequently rammed to 170 Co at a rate of 6.50 Co/min. Then the oven temperature was moved to 215 °C at a flow rate of 2.75 °C /min and held for 12 min then increased to 230 °C at 40 °C/ min. Helium gas was used as a carrier gas with a flow rate of 2.6 mL/min with an average velocity of 40 cm/s. Both the injector and the detector were set at 250 °C throughout the analysis [15]. Individual fatty acids were identified by comparison of their retention times with external standards (GLC463 and GLC 68F) retention times. The amounts of individual fatty acid methyl esters identified were expressed in % of the total fatty acid areas chromatograms identified.

Indices of lipid quality

Some lipid health indices were calculated from fatty acid composition including polyunsaturated fatty acids (PUFA)/ Saturated Fatty Acids (SFA), monounsaturated fatty acid (MUFA)/ saturated fatty acid (SFA), unsaturated fatty acid (UFA) /saturated fatty acid (SFA), and omega 6/omega 3 PUFAs , PUFA/SFA, MUFA/SFA, UFA/SFA, n6/n3, IA and TI. PUFA/SFA, MUFA/SFA, and UFA/ SFA ratios show the relationship between health-benefitting Polyand Mono-Unsaturated Fatty Acids (PUFA & MUFA) and healthrisk- contributing Saturated Fatty Acids (SFA). Omega 6/ omega 3 PUFAs indices are commonly used to assess the health benefits of diet; foods higher in omega 3s are considered to have better healthbenefitting properties. Additionally, the index of atherogenicity (IA) and thrombogenicity (IT) shows the relationship between pro- and anti-atherogenic/thrombogenic fatty acids. Atherogenicity favors the adhesion of lipids to cells, while thrombogenicity shows the tendency to form clots in blood vessels. First proposed by Ulbricht & Southgate [16] to characterize the atherogenic and thrombogenic potential of diet, we used the following equations to determine the following indices:

IA = [(a*12:0) + (b*14:0) + (c*16:0)] / [d*(PUFA - (n6+n3)) + e*(MUFA) + f *(MUFA-18:1c)]

IT = [g*(14:0 +16:0 + (18:0)] / [(h *MUFA) + (m*n6) + (n*n3) + (n3/n6)]

Where a, c, d, e, f=1, b=4, g=1, h, m=0.5 and n=3

In this study, we assessed the thrombogenic and atherogenic indices of different rice varieties, however, the C12:0 value was excluded from the atherogenic index equation because C12:0 was not determined in our analyses.

Statistical analysis

All extractions and analyses were carried out in triplicates. The means (with standard deviations or standard error of the mean) are reported. Two-way ANOVA followed by Turkey’s multiple comparisons test was performed using GraphPad Prism version 6.05 for Windows, Graph Pad Software, La Jolla California USA, (www. graphpad.com). Significant difference was determined at p < 0.05.

Results and Discussion

The percentages (%) of the total individual Fatty Acids (FA) identified in 5 different rice varieties are reported in (Tables 1 & 2). Additionally, the ratios Polyunsaturated Fatty Acid (PUFA)/ Saturated Fatty Acids (SFA), Monounsaturated Fatty Acid (MUFA)/ Saturated Fatty Acid (SFA), Unsaturated Fatty Acid (UFA) /Saturated Fatty Acid (SFA), and omega 6/omega 3 as well as the individual classifications are shown in (Figures 1 & 2). Altogether, we identified the total individual fatty acid number to be 21 for M. brown, GV brown, and M. Jasmine rice, 17 for GV LG rice and 14 for Basmati rice with chain lengths ranging from C13:0 to C20:5n3 (Tables 1 & 2). These chain length ranges agreed with previous studies of lipid content and fatty acid composition of brown rice cultivars found in the USA [17].