Literature DB >> 27257615

Bran data of total flavonoid and total phenolic contents, oxygen radical absorbance capacity, and profiles of proanthocyanidins and whole grain physical traits of 32 red and purple rice varieties.

Ming-Hsuan Chen1, Anna M McClung1, Christine J Bergman2.   

Abstract

Phytochemicals in red and purple bran rice have potential health benefit to humans. We determined the phytochemicals in brans of 32 red and purple global rice varieties. The description of the origin and physical traits of the whole grain (color, length, width, thickness and 100-kernel weight) of this germplasm collection are provided along with data of total flavonoid and total phenolic contents, oxygen radical absorbance capacity and total proanthocyanidin contents. The contents and proportions of individual oligomers, from degree of polymerization of monomers to 14-mers, and polymers in bran of these 32 rice varieties are presented (DOI: http://dx.doi.org/10.1016/j.foodchem.2016.04.004) [1].

Entities:  

Keywords:  Black rice; Flavonoids; Proanthocyanidins; Purple rice; Red rice; Rice bran; Tannins

Year:  2016        PMID: 27257615      PMCID: PMC4878786          DOI: 10.1016/j.dib.2016.05.001

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications table Value of the data A large collection of globally diverse germplasm was selected for the phytochemical analysis of red and purple rice bran. Our data has the widest range of proanthocyanidins concentration reported in red rice bran thus far. These rice genotypes can be used to study genetics that control the synthesis of proanthocyanidins. First report of the contents and proportions of oligomers and polymers of proanthocyanidins in rice bran using HPLC-fluorescence detection. Genotypes differed significantly for phytochemicals found in the bran layer, indicating variation in the biosynthesis of these compounds. The colorimeter may be used to predict presence of some phytochemical in whole grain rice during varietal development. Genotypes were identified that have different phenolic profiles. They will be suitable for further study of the potential health benefits of these particular profiles.

Data

A detailed description of this germplasm collection (28 red and 4 purple bran rice varieties) is provided in Table 1, which includes the global origin and whole grain physical traits. Data in Table 2 includes the contents of total flavonoid, total phenolic, and total proanthocyanidins, along with oxygen radical absorbance capacity (ORAC). Data in Table 3 presents the content of individual oligomers (degree of polymerization of monomer to 14-mer) and polymers of proanthocyanidins. Table 4 provides data of the proportions of individual oligomers and polymers of proanthocyanidins.
Table 1

Origin and whole grain physical trait1 data of the 32 red and purple bran rice accessions.

IDOriginAccession no.Bran color-GRIN2Bran color-BMT3L*a*b*ChromaHue angle100-kernel weight(g)Length (mm)Width(mm)Thickness (mm)
242TaiwanPI 245710PurplePurple31.28±3.5811.81±0.3912.76±0.0117.39±0.2647.22±.982.32±0.236.34±0.072.80±0.051.91±0.04
516UruguayPI 400273RedRed46.75±2.1115.99±0.3226.58±0.6031.02±0.6858.97±0.062.67±0.146.37±0.202.88±0.112.13±0.08
BanjulGambiaPI 414546RedRed41.37±0.3615.08±0.1223.53±0.3427.97±0.3757.37±0.212.29±0.046.07±0.072.72±0.021.92±0.00
BarosGuyanaPI 184386RedRed44.74±1.9513.45±2.0722.58±2.0926.28±2.8559.31±1.552.10±0.076.82±0.062.54±0.041.76±0.03
Choko ToChinaPI 389319RedRed44.72±2.0513.75±1.7324.12±2.0627.76±2.6560.35±1.013.64±0.388.89±0.512.49±0.072.14±0.03
D16United StatesPI 506229RedRed34.29±1.9014.84±0.8019.02±2.0224.13±2.0951.97±1.471.51±0.155.60±0.312.28±0.041.69±0.00
DJ 24BangladeshPI 403082RedRed46.48±2.7913.93±0.1624.94±1.8028.57±1.5060.76±2.042.01±0.075.44±0.042.77±0.011.94±0.08
DM 77BangladeshPI 403173RedRed48.93±3.3114.41±0.7026.86±1.5930.48±1.7361.79±0.262.46±0.285.82±0.112.90±0.052.05±0.05
GPNO 28809UncertainPI 510190RedRed45.18±0.3513.58±1.6023.78±1.4727.39±2.0760.31±1.392.27±0.356.43±0.372.69±0.121.90±0.07
IARI 5828IndiaPI 353648RedRed39.12±0.8715.82±0.0523.92±0.8628.69±0.6956.50±1.032.05±0.055.06±0.063.08±0.032.07±0.07
IARI 6627IndiaPI 353724RedRed50.80±4.0711.41±1.6325.34±0.5627.81±1.1865.82±2.591.39±0.004.92±0.092.46±0.061.73±0.03
IITA 119NigeriaPI 458466RedRed42.85±0.1614.83±0.0422.49±0.1326.94±0.1356.60±0.082.31±0.176.47±0.272.64±0.071.90±0.02
Unknown4unknownPI 400798PurplePurple28.93±0.8512.76±0.6813.58±0.9818.63±1.1846.77±0.552.39±0.096.26±0.192.87±0.011.89±0.05
IL 121-1-1USAbreeding lineRedRed36.54±2.3514.17±0.4419.78±1.4824.35±0.9454.33±2.882.11±0.006.77±0.282.31±0.021.86±0.07
Kakani 2NepalPI 400020Light BrownRed47.38±0.359.22±0.5520.85±0.2922.80±0.4966.15±0.962.09±0.255.48±0.282.90±0.151.99±0.02
Kun Shan Wu Shan KengTaiwanPI 282941RedRed42.00±4.2511.12±1.9121.65±0.0724.37±0.8162.88±4.062.19±0.405.59±0.252.91±0.222.09±0.10
Malagkit PirurutongPhilippinesPI 434618PurplePurple27.49±0.2812.82±1.5212.78±1.0018.10±1.7844.98±1.172.38±0.066.22±0.202.80±0.001.90±0.03
ManzanoZairePI 430394RedRed42.52±1.2215.23±0.5724.50±0.2828.85±0.0658.14±1.262.69±0.107.12±0.162.73±0.071.87±0.04
Muong PraVietnamPI 392745BrownRed41.56±1.4212.08±1.5323.11±0.6626.11±0.1262.41±3.641.54±0.015.73±0.112.23±0.011.77±0.07
Neang MeasCambodiaPI 389951RedRed46.11±1.9816.68±0.5027.12±1.0831.84±0.6558.39±1.792.75±0.156.28±0.143.09±0.072.06±0.11
NgaseinMyanmarPI 392577RedRed50.34±3.3611.59±0.3128.59±3.3830.87±3.0167.79±2.901.84±0.015.25±0.072.73±0.011.95±0.05
P 1293TurkeyPI 431343RedRed40.75±3.8915.73±0.7524.10±1.9628.80±1.2356.79±3.371.68±0.035.83±0.142.33±0.031.72±0.06
Paray Kinta KabarasPhilippinesPI 392997PurplePurple27.91±0.019.21±0.9710.68±1.5114.10±1.7849.15±1.032.42±0.115.81±0.213.05±0.031.98±0.05
PopeyCambodiaPI 392610RedRed45.43±1.8514.82±3.5725.35±3.1729.38±4.5459.92±2.921.48±0.075.49±0.192.36±0.081.64±0.01
Red WellsUSAbreeding lineRedRed35.53±2.1114.60±0.7819.75±2.8524.58±2.7653.38±2.502.28±0.067.59±0.022.18±0.011.84±0.07
SamanoekIndonesiaPI 389872RedRed43.28±2.7115.25±1.1723.88±1.2828.36±0.4557.41±3.392.70±0.126.49±0.022.88±0.011.98±0.02
SL 22-633Sierra LeonePI 433804RedRed40.84±0.5612.72±0.7821.86±0.2325.29±0.5959.82±1.271.93±0.146.04±0.232.66±0.071.73±0.01
SL 31-709Sierra LeonePI 433823RedRed46.34±2.5613.03±0.4624.25±0.0727.53±0.1661.75±0.922.64±0.296.94±0.442.81±0.121.83±0.11
Tieu Dong5VietnamPI 392788RedRed38.51±2.1915.78±0.0521.85±1.2126.96±1.0154.14±1.431.84±0.005.68±0.102.54±0.001.82±0.01
Timonchette 3HaitiCIor 8915RedRed42.53±1.1916.96±0.9425.57±0.0730.69±0.4656.45±1.542.24±0.016.16±0.062.67±0.021.90±0.05
WC 10346UncertainPI 469393BrownRed50.29±1.5513.03±0.3425.94±0.3629.03±0.1763.33±0.912.11±0.226.54±0.232.64±0.131.79±0.04
YanayananPhilippinesPI 373179RedRed42.92±3.7114.51±2.7823.20±0.6727.40±2.0458.14±4.202.03±0.026.37±0.192.54±0.021.75±0.03

Mean±1 standard deviation of 2009 and 2010 data; Color parameters: L*, lightness; a*, redness; b*, yellowness; Chroma, color intensity.

Bran color, based on GRIN (Germplasm Resources Information Network) (http://www.ars-grin.gov/cgi-bin/npgs/html/desc.pl?75011).

Bran color observation by authors.

Listed as light brown bran color for accession PI 400798 in GRIN; received seeds were purple bran.

Tieu Gong, listed as both light brown and red in GRIN, only red bran line was used for the study.

Table 2

Data1 of total flavanoids (TF), total phenolics (TP), oxygen radical absorbance capacity (ORAC) and total proanthocyanidin (TPA) in bran of 32 red and purple rice accessions.

ID2TFTPORACTPA
24228.0±0.370.1±3.4626.6±74.524.60±1.46
51613.2±0.437.9±3.9304.8±23.513.07±1.64
Banjul22.0±1.157.3±1.8509.6±31.420.17±0.81
Baros20.5±3.153.5±7.8492.2±8.123.02±10.77
Choko To21.5±1.557.1±4.0377.2±98.521.79±2.85
D1618.8±1.551.1±6.7384.2±68.312.74±3.10
DJ 2417.7±3.147.0±5.3407.4±46.418.11±5.58
DM 7710.3±1.628.3±3.5314.0±144.29.50±0.81
GPNO 2880918.2±0.545.9±0.2447.2±50.620.37±2.18
IARI 582818.3±1.252.3±0.4368.7±84.017.39±0.55
IARI 662724.2±0.961.5±1.7757.0±247.430.37±2.35
IITA 11920.0±1.554.1±4.2283.9±23.314.83±3.61
Unknown226.8±1.367.9±5.1759.8±27.522.31±2.36
IL 121-1-115.6±3.541.8±10.8353.1±112.612.03±5.60
Kakani 223.2±3.359.0±12.8702.9±41.236.15±10.36
Kun Shan Wu Shan Keng21.0±5.451.2±10.8517.6±154.326.21±0.05
Malagkit Pirurutong27.8±1.270.0±4.2731.8±11.220.84±3.24
Manzano17.9±0.348.3±0.1470.6±15.416.31±0.41
Muong Pra19.1±0.751.0±1.6449.4±130.420.65±1.60
Neang Meas16.6±0.547.4±3.4381.0±84.817.17±2.39
Ngasein13.8±4.637.4±8.5416.9±158.613.49±3.58
P 129316.1±3.743.2±8.2382.5±67.511.93±4.75
Paray Kinta Kabaras24.5±4.066.1±7.7784.0±45.822.56±1.67
Popey18.4±5.749.5±15.0431.1±209.220.15±9.16
Red Wells13.0±0.136.8±2.1289.5±101.38.38±0.60
Samanoek17.1±2.845.7±5.1335.5±22.315.42±0.09
SL 22-63321.0±2.857.4±6.6474.5±139.519.29±1.12
SL 31-70924.7±0.563.2±3.5549.2±68.230.79±4.73
Tieu Dong317.1±1.245.8±3.4301.7±85.311.23±3.42
Timonchette 315.3±3.142.0±5.4341.4±33.510.89±4.73
WC 1034623.3±0.758.4±3.5465.0±183.530.22±1.19
Yanayanan18.4±2.453.4±8.2430.1±148.220.23±9.59

TF, mg catechin eq/g bran; TP, mg gallic acid eq/g bran; ORAC, oxygen radical absorbance capacity, µM Trolox eq/g bran; TPA, sum of monomers to polymers of proanthocyanidin concentration determined by HPLC-fluorescence detection, mg/g bran.

Detail information of accessions is listed in Table 1.

Table 3

Data1 of oligomer and polymer profiling of proanthocyanidins (mg/g) in bran of 32 red and purple rice accessions.

ID2DP1DP2DP3DP4DP5DP6DP7DP8DP9DP10DP11to14Polymer (DP > 14)TPA3
2420.13±0.030.52±0.101.17±0.151.40±0.131.46±0.021.64±0.031.79±0.051.43±0.041.68±0.141.82±0.104.98±0.276.59±0.4124.60±1.46
5160.05±0.010.25±0.050.70±0.000.78±0.080.79±0.030.85±0.010.91±0.050.71±0.050.84±0.110.92±0.142.63±0.543.63±0.9013.07±1.64
Banjul0.08±0.000.31±0.010.90±0.011.12±0.081.16±0.001.31±0.021.43±0.031.14±0.041.35±0.061.51±0.094.28±0.275.58±0.2320.17±0.81
Baros0.10±0.050.45±0.251.18±0.691.26±0.621.31±0.611.43±0.631.54±0.671.21±0.521.45±0.651.60±0.684.67±2.136.82±3.2923.02±10.77
Choko To0.07±0.030.24±0.130.71±0.200.74±0.280.89±0.261.09±0.261.27±0.271.08±0.221.33±0.251.58±0.295.05±0.927.76±0.2721.79±2.85
D160.03±0.000.16±0.060.60±0.220.74±0.150.73±0.230.80±0.230.87±0.230.69±0.180.84±0.210.93±0.232.68±0.683.68±0.6712.74±3.10
DJ 240.07±0.040.37±0.141.01±0.381.20±0.391.24±0.381.32±0.381.38±0.391.06±0.291.22±0.361.33±0.403.59±1.134.32±1.2918.11±5.58
DM 770.04±0.010.18±0.010.51±0.060.63±0.090.62±0.040.65±0.040.67±0.040.52±0.030.60±0.040.68±0.071.96±0.192.43±0.199.50±0.81
GPNO 288090.13±0.070.53±0.181.35±0.311.43±0.331.46±0.321.53±0.281.57±0.231.20±0.141.34±0.101.47±0.093.94±0.114.43±0.0220.37±2.18
IARI 58280.06±0.010.24±0.020.65±0.110.77±0.020.86±0.031.00±0.031.12±0.030.91±0.011.10±0.001.26±0.043.76±0.085.68±0.7017.39±0.55
IARI 66270.13±0.030.63±0.161.63±0.352.07±0.252.11±0.162.29±0.132.41±0.121.89±0.082.10±0.062.29±0.076.30±0.046.51±0.9830.37±2.35
IITA 1190.02±0.000.10±0.010.35±0.110.47±0.090.61±0.120.75±0.160.90±0.210.76±0.180.96±0.251.12±0.313.61±1.065.17±1.1014.83±3.61
Unknown0.11±0.020.47±0.091.07±0.161.28±0.151.33±0.071.50±0.081.64±0.121.30±0.121.55±0.181.68±0.174.61±0.515.77±0.6922.31±2.36
IL 121-1-10.03±0.020.16±0.110.43±0.290.54±0.320.58±0.360.67±0.390.76±0.430.62±0.340.75±0.400.86±0.452.64±1.284.00±1.2112.03±5.60
Kakani 20.20±0.010.78±0.011.96±0.182.44±0.212.61±0.412.85±0.543.01±0.662.39±0.592.57±0.682.69±0.847.15±2.537.50±3.7536.15±10.36
Kun Shan Wu Shan Keng0.11±0.020.58±0.001.56±0.092.04±0.342.09±0.322.21±0.332.25±0.261.70±0.151.89±0.081.98±0.015.07±0.414.73±0.9526.21±0.05
Malagkit Pirurutong0.10±0.020.43±0.071.01±0.161.21±0.221.28±0.321.44±0.351.56±0.371.21±0.261.47±0.291.57±0.294.27±0.775.30±0.1220.84±3.24
Manzano0.05±0.010.20±0.020.53±0.020.70±0.020.80±0.010.93±0.011.04±0.020.85±0.031.05±0.061.18±0.063.53±0.185.45±0.1416.31±0.41
Muong Pra0.10±0.010.44±0.021.16±0.161.27±0.101.32±0.051.43±0.021.52±0.081.21±0.101.40±0.161.56±0.174.35±0.594.88±0.7920.65±1.60
Neang Meas0.05±0.010.23±0.050.68±0.170.82±0.050.80±0.150.91±0.171.04±0.180.87±0.161.08±0.151.24±0.223.85±0.695.60±0.4017.17±2.39
Ngasein0.08±0.000.36±0.040.91±0.131.19±0.091.06±0.171.05±0.201.05±0.230.78±0.200.90±0.220.95±0.282.45±0.792.71±1.2113.49±3.58
P 12930.09±0.030.32±0.110.77±0.270.82±0.320.73±0.240.74±0.240.77±0.260.62±0.210.68±0.260.81±0.332.28±0.993.29±1.5011.93±4.75
Paray Kinta Kabaras0.09±0.010.44±0.091.04±0.201.35±0.171.45±0.241.63±0.241.74±0.231.39±0.231.53±0.031.65±0.144.43±0.195.82±0.0922.56±1.67
Popey0.07±0.030.40±0.181.10±0.501.29±0.401.25±0.541.33±0.591.41±0.631.11±0.491.31±0.611.46±0.694.21±2.095.19±2.3920.15±9.16
Red Wells0.02±0.010.10±0.040.32±0.040.37±0.090.41±0.080.48±0.080.53±0.070.43±0.060.53±0.040.60±0.051.78±0.062.81±0.028.38±0.60
Samanoek0.03±0.000.22±0.010.69±0.070.83±0.050.84±0.060.92±0.061.00±0.060.80±0.050.97±0.041.12±0.013.29±0.064.70±0.2715.42±0.09
SL 22-6330.04±0.010.18±0.030.52±0.040.76±0.020.95±0.031.17±0.051.35±0.051.10±0.021.32±0.061.50±0.074.37±0.276.03±0.6619.29±1.12
SL 31-7090.10±0.030.47±0.141.27±0.391.49±0.181.71±0.281.95±0.292.16±0.321.72±0.302.06±0.322.35±0.366.85±1.228.66±0.8930.79±4.73
Tieu Dong0.03±0.010.12±0.040.39±0.090.47±0.190.53±0.150.63±0.180.72±0.210.58±0.160.71±0.210.82±0.252.49±0.763.75±1.1711.23±3.42
Timonchette 30.04±0.010.17±0.040.47±0.140.62±0.250.60±0.200.66±0.220.72±0.260.59±0.210.70±0.320.80±0.362.35±1.173.17±1.5510.89±4.73
WC 103460.15±0.070.64±0.241.62±0.451.89±0.511.97±0.432.12±0.352.25±0.241.75±0.122.01±0.042.23±0.036.26±0.347.33±0.9630.22±1.19
Yanayanan0.06±0.030.31±0.200.86±0.531.00±0.491.09±0.571.23±0.621.37±0.681.11±0.541.34±0.631.53±0.714.43±2.075.90±2.5220.23±9.59

Mean±1 standard deviation of 2009 and 2010 data; DP, degree of polymerization of oligomers and polymers.

Detail information of accessions is listed in Table 1.

TPA, total concentration of proanthocyanidins, sum of individual DP of PAs determined by HPLC.

Table 4

Distribution1 (%, w/w) of individual degree of polymerization (DP) of proanthocyanidins over total proanthocyanidins (TPA).

ID2DP1DP2DP3DP4DP5DP6DP7DP8DP9DP10DP11 to 14Polymer (DP > 14)
2420.53±0.112.10±0.274.74±0.335.68±0.215.93±0.266.68±0.287.28±0.245.81±0.206.82±0.157.39±0.0420.25±0.1226.79±0.08
5160.41±0.151.95±0.625.37±0.646.06±1.376.13±0.976.57±0.757.01±0.475.42±0.286.40±0.057.07±0.1520.03±1.6127.58±3.44
Banjul0.37±0.021.53±0.004.46±0.235.52±0.235.75±0.186.46±0.167.08±0.115.64±0.036.70±0.007.51±0.1221.28±0.3827.70±0.00
Baros0.43±0.001.92±0.194.96±0.665.44±0.145.70±0.026.24±0.206.73±0.225.32±0.246.32±0.157.04±0.3520.35±0.2729.54±0.45
Choko To0.31±0.091.05±0.473.25±0.523.34±0.844.05±0.684.95±0.565.78±0.484.91±0.376.06±0.367.21±0.3823.11±1.2035.99±5.94
D160.23±0.031.24±0.154.60±0.645.82±0.215.66±0.396.22±0.306.78±0.135.41±0.066.61±0.087.31±0.0521.01±0.2629.11±1.82
DJ 240.38±0.132.04±0.165.54±0.386.60±0.146.82±0.027.32±0.157.64±0.215.86±0.186.76±0.107.36±0.0719.80±0.1223.86±0.24
DM 770.38±0.021.87±0.035.35±0.156.66±0.426.56±0.096.81±0.167.08±0.205.52±0.136.37±0.097.18±0.1220.59±0.1925.64±0.20
GPNO 288090.63±0.292.57±0.596.57±0.816.99±0.877.12±0.797.46±0.557.68±0.335.88±0.076.60±0.237.23±0.3319.42±1.5221.85±2.23
IARI 58280.33±0.061.36±0.183.73±0.724.42±0.244.97±0.355.73±0.366.42±0.375.21±0.256.35±0.237.26±0.0021.61±0.2532.61±2.99
IARI 66270.43±0.082.06±0.375.35±0.736.82±0.296.95±0.017.56±0.167.93±0.236.22±0.216.92±0.337.57±0.3520.83±1.7521.36±1.58
IITA 1190.17±0.040.70±0.102.37±0.193.20±0.154.11±0.205.10±0.166.05±0.095.10±0.006.47±0.147.54±0.2724.16±1.2535.02±1.12
Unknown0.50±0.032.11±0.174.80±0.215.71±0.085.97±0.316.75±0.347.35±0.245.84±0.096.94±0.097.51±0.0520.67±0.1125.83±0.34
IL 121-1-10.28±0.031.26±0.353.36±0.844.33±0.684.59±0.855.35±0.796.12±0.745.04±0.456.13±0.457.08±0.4121.80±0.4634.67±6.05
Kakani 20.57±0.192.27±0.685.58±1.116.96±1.427.35±0.988.00±0.808.42±0.606.65±0.297.13±0.167.42±0.2119.59±1.3820.07±4.63
Kun Shan Wu Shan Keng0.43±0.072.21±0.015.96±0.347.78±1.307.97±1.218.42±1.238.58±0.996.49±0.557.22±0.287.56±0.0619.34±1.6018.05±3.64
Malagkit Pirurutong0.46±0.032.06±0.034.83±0.045.82±0.166.09±0.586.84±0.637.46±0.605.79±0.347.04±0.287.49±0.2220.45±0.5125.69±3.42
Manzano0.32±0.041.20±0.163.25±0.224.31±0.214.89±0.185.70±0.106.39±0.035.21±0.046.41±0.227.22±0.1621.66±0.5533.42±0.02
Muong Pra0.50±0.032.14±0.265.69±1.206.17±0.956.42±0.756.95±0.427.39±0.175.88±0.016.77±0.237.55±0.2521.01±1.2223.55±1.99
Neang Meas0.29±0.051.36±0.083.93±0.434.79±0.404.63±0.225.30±0.246.03±0.245.03±0.216.30±0.037.18±0.2722.38±0.9232.78±2.23
Ngasein0.61±0.132.74±0.426.83±0.839.09±1.777.96±0.847.88±0.587.82±0.345.75±0.046.70±0.167.01±0.2118.01±1.1019.60±3.79
P 12930.73±0.042.74±0.196.56±0.376.92±0.066.20±0.486.33±0.486.55±0.405.27±0.335.77±0.156.76±0.0418.97±0.7127.19±1.76
Paray Kinta Kabaras0.41±0.021.94±0.244.58±0.555.97±0.306.43±0.617.19±0.517.68±0.436.15±0.596.79±0.387.31±0.0719.66±0.6125.90±2.33
Popey0.35±0.011.96±0.025.47±0.006.66±1.056.26±0.156.61±0.097.00±0.075.54±0.076.51±0.077.24±0.1420.67±1.0025.73±0.18
Red Wells0.25±0.091.15±0.373.79±0.184.38±0.814.92±0.585.66±0.566.34±0.415.11±0.386.30±0.077.13±0.0521.33±0.8133.63±2.70
Samanoek0.22±0.011.43±0.054.47±0.405.39±0.335.44±0.355.96±0.366.51±0.325.17±0.276.31±0.207.27±0.0021.35±0.2930.49±1.93
SL 22-6330.22±0.040.95±0.192.71±0.393.95±0.314.92±0.126.09±0.117.02±0.145.71±0.216.82±0.117.76±0.0922.65±0.0831.21±1.62
SL 31-7090.32±0.061.51±0.234.06±0.664.84±0.145.55±0.046.33±0.037.00±0.045.59±0.106.68±0.027.63±0.0022.22±0.5428.25±1.44
Tieu Dong0.24±0.011.06±0.073.47±0.254.13±0.394.72±0.095.62±0.126.43±0.125.19±0.136.37±0.087.29±0.0122.14±0.0533.34±0.28
Timonchette 30.37±0.101.62±0.294.46±0.665.72±0.165.66±0.666.23±0.696.76±0.555.49±0.466.39±0.197.29±0.1221.24±1.5028.77±1.75
WC 103460.50±0.222.12±0.715.32±1.296.22±1.456.49±1.166.99±0.887.42±0.515.80±0.176.67±0.137.39±0.1920.76±1.9424.32±4.13
Yanayanan0.29±0.031.45±0.334.09±0.684.94±0.075.31±0.296.05±0.206.73±0.165.48±0.066.63±0.027.56±0.0521.96±0.2029.50±1.53

1Mean±1 standard deviation of 2009 and 2010 data; DP, degree of polymerization of oligomers and polymers.

Detail information of accessions is listed in Table 1.

Experimental design, materials and methods

Rice varieties and physical traits

The 32 rice varieties were obtained from the USDA National Small Grain Collection. The origin, accession numbers, and visual bran color of these 32 varieties are provided in Table 1. The rice varieties were grown under field conditions in 2009 and 2010 in Beaumont, TX using standard management practices for the area [1]. The color of whole grain rice was measured in the CIE La*b* color space using a colorimeter as described in [1] (Table 1). The length, width, thickness and 100-kernel weight of whole grain rice were determined as described in [2] (Table 1).

Sample preparation and extraction

The rough rice was dehulled and milled to collect the bran [1]. The bran was extracted with acetone/water/ acetic acid (70/29.5/0.5 (v/v/v)) as described in [1]. The sample extract was used for the determination of total flavonoid, total phenolic, ORAC and proanthocyanidin profiling as described in [1].

Total flavonoid, total phenolic and ORAC determination

Total flavonoid, total phenolic and ORAC in sample extracts were determined according to the methods in [1].

Profiling of proanthocyanidins

The sample extract was first purified through a LH-20 column prior to HPLC analysis as described in [1]. Proanthocyanidins were resolved on a HPLC-Diol column, detected by fluorescence detection and the concentration of individual oligomers (ranged from monomer to 14-mer) and polymers were determined using standards purified from cocoa (Theobroma cacao) as described in [3]. The total proanthocyanidin concentration was the sum of concentrations of all oligomers and polymers.
Subject areaChemistry
More specific subject areaPhytochemicals
Type of dataTable
How data was acquiredTotal flavonoid and total phenolic contents were determined using colorimetric methods. Profiling of proanthocyanidins and total proanthocyanidin content were determined using HPLC-fluorescence detection. Color of whole grain was measured in the CIE L*a*b* color space using a colorimeter. Length and width of whole grain rice were determined using an image analysis system. Thickness of whole grain was measured with a Digimatic indicator.
Data formatAnalyzed
Experimental factorsPhytochemicals were determined in bran after solvent extraction.
Experimental featuresThe extractable total flavonoid and total phenolic contents, antiradical capacity, and oligomers and polymers of proanthocyanidins in bran of red and purple rice were determined.
Data source locationBeaumont, TX, USA
Data accessibilityThe data are with this article.
  2 in total

1.  Growth-inhibitory effects of pigmented rice bran extracts and three red bran fractions against human cancer cells: relationships with composition and antioxidative activities.

Authors:  Ming-Hsuan Chen; Suk Hyun Choi; Nobuyuke Kozukue; Hyun-Jeong Kim; Mendel Friedman
Journal:  J Agric Food Chem       Date:  2012-08-27       Impact factor: 5.279

2.  Concentrations of oligomers and polymers of proanthocyanidins in red and purple rice bran and their relationships to total phenolics, flavonoids, antioxidant capacity and whole grain color.

Authors:  Ming-Hsuan Chen; Anna M McClung; Christine J Bergman
Journal:  Food Chem       Date:  2016-04-06       Impact factor: 7.514

  2 in total
  1 in total

Review 1.  Effects of anthocyanins on the prevention and treatment of cancer.

Authors:  Bo-Wen Lin; Cheng-Chen Gong; Hai-Fei Song; Ying-Yu Cui
Journal:  Br J Pharmacol       Date:  2016-10-25       Impact factor: 8.739

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.