Effect of Germination Conditions and Mashing Temperature on the Amylolytic Enzyme Activity and Degree of Starch Saccharification of Brown Rice Cultivars During Syrup Production

2019 ◽  
Vol 84 (10) ◽  
pp. 2785-2794
Author(s):  
Wipada Wunthunyarat ◽  
Emily Wong ◽  
Jia‐Rong Jinn ◽  
Ya‐Jane Wang ◽  
Andy Mauromoustakos
Keyword(s):  
Enzyme Activity ◽  
Brown Rice ◽  
Rice Cultivars ◽  
Amylolytic Enzyme ◽  
Starch Saccharification

Accumulation of copper in brown rice and effect of copper on rice growth and grain yield in different rice cultivars

Chemosphere ◽  
2006 ◽  
Vol 65 (10) ◽  
pp. 1690-1696 ◽  
Author(s):  
Yu-Ping Yan ◽  
Jun-Yu He ◽  
Cheng Zhu ◽  
Chang Cheng ◽  
Xue-Bo Pan ◽  
...  
Keyword(s):  
Grain Yield ◽  
Brown Rice ◽  
Rice Cultivars ◽  
Rice Growth ◽  
Effect Of Copper

scholarly journals Integrated Analysis of Metabolome and Volatile Profiles of Germinated Brown Rice from the Japonica and Indica Subspecies

Foods ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2448
Author(s):  
Chenguang Zhou ◽  
Yaojie Zhou ◽  
Yuqian Hu ◽  
Bin Li ◽  
Roujia Zhang ◽  
...  
Keyword(s):  
Raw Materials ◽  
Indica Rice ◽  
Brown Rice ◽  
Essential Amino Acids ◽  
Integrated Analysis ◽  
Japonica Rice ◽  
Rice Cultivars ◽  
Germinated Brown Rice ◽  
Metabolomics Data ◽  
Volatile Profiles

Abstract: In the present study, germinated brown rice (GBR) from three Japonica and three Indica rice cultivars were subjected to metabolomics analysis and volatile profiling. The statistical assessment and pathway analysis of the metabolomics data demonstrated that in spite of significant metabolic changes in response to the germination treatment, the Japonica rice cultivars consistently expressed higher levels of several health-promoting compounds, such as essential amino acids and γ-aminobutyric acid (GABA), than the Indica cultivars. No clear discriminations of the volatile profiles were observed in light of the subspecies, and the concentrations of the volatile organic compounds (VOCs), including alkenes, aldehydes, furans, ketones, and alcohols, all exhibited significant reductions ranging from 26.8% to 64.1% after the germination. The results suggest that the Japonica cultivars might be desirable as the raw materials for generating and selecting GBR food products for health-conscious consumers.

Isolation and production of thermostable α-amylase from thermophilic Anoxybacillus sp. KP1 from Diyadin hot spring in Ağri, Turkey

Biologia ◽  
2014 ◽  
Vol 69 (4) ◽  
Author(s):  
Fatma Matpan Bekler ◽  
Kemal Güven
Keyword(s):  
Enzyme Activity ◽  
Hot Spring ◽  
Inorganic Nitrogen ◽  
Sodium Dodecyl ◽  
Maximum Growth ◽  
Casamino Acid ◽  
Rrna Gene ◽  
Amylolytic Enzyme ◽  
Amylase Production ◽  
Physiological Tests

AbstractA novel amylolytic enzyme producing thermophilic bacterial strain KP1 from the Diyadin hot spring water in Ağri, Turkey, was isolated in the present study. Phylogenetic analysis based on the partial 16S rRNA gene, biochemical and physiological tests revealed that the strain KP1 belongs to the genus Anoxybacillus. The pH and temperature optima for the α-amylase production by Anoxybacillus sp. KP1 were 8.0 and 50°C, respectively, where the maximum growth was obtained at the 28th hour of incubation and the highest α-amylase activity was obtained at the 40th hour of incubation (8979.6 U/mL). The optimum pH and temperature for the enzyme activity were 8.0 and 60°C, respectively. The maximum α-amylase production was secreted in the presence of 2% (w/v) soluble starch (10837.7 U/mL). Among the various organic and inorganic nitrogen sources tested, while keeping the beef extract concentration constant, casamino acid (14310.6 U/mL), urea (14126 U/mL), and tryptone (13217.2 U/mL) at a concentration of 2% gave the maximum α-amylase production. The enzyme activity was enhanced in the presence of 1.5 mM Mn2+ (123%), whereas it was strongly inhibited 1.5 mM by Hg2+. Inhibition by 89% was obtained also with sodium dodecyl sulphate (1%). The enzyme was found to be relatively stable at a range of pH and temperature.

scholarly journals A Combined Method of Image Processing and Artificial Neural Network for the Identification of 13 Iranian Rice Cultivars

Agronomy ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 117 ◽  
Author(s):  
Yousef Abbaspour-Gilandeh ◽  
Amir Molaee ◽  
Sajad Sabzi ◽  
Narjes Nabipur ◽  
Shahaboddin Shamshirband ◽  
...  
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Brown Rice ◽  
Principal Component ◽  
Rice Cultivar ◽  
Rice Cultivars ◽  
Texture Properties ◽  
Effective Components ◽  
Significant Difference ◽  
Artificial Neural

Due to the importance of identifying crop cultivars, the advancement of accurate assessment of cultivars is considered essential. The existing methods for identifying rice cultivars are mainly time-consuming, costly, and destructive. Therefore, the development of novel methods is highly beneficial. The aim of the present research is to classify common rice cultivars in Iran based on color, morphologic, and texture properties using artificial intelligence (AI) methods. In doing so, digital images of 13 rice cultivars in Iran in three forms of paddy, brown, and white are analyzed through pre-processing and segmentation of using MATLAB. Ninety-two specificities, including 60 color, 14 morphologic, and 18 texture properties, were identified for each rice cultivar. In the next step, the normal distribution of data was evaluated, and the possibility of observing a significant difference between all specificities of cultivars was studied using variance analysis. In addition, the least significant difference (LSD) test was performed to obtain a more accurate comparison between cultivars. To reduce data dimensions and focus on the most effective components, principal component analysis (PCA) was employed. Accordingly, the accuracy of rice cultivar separations was calculated for paddy, brown rice, and white rice using discriminant analysis (DA), which was 89.2%, 87.7%, and 83.1%, respectively. To identify and classify the desired cultivars, a multilayered perceptron neural network was implemented based on the most effective components. The results showed 100% accuracy of the network in identifying and classifying all mentioned rice cultivars. Hence, it is concluded that the integrated method of image processing and pattern recognition methods, such as statistical classification and artificial neural networks, can be used for identifying and classification of rice cultivars.

scholarly journals STUDY OF MILLING PROCESS AND ITS EFFECT ON VITAMIN B1 AND FOLIC ACID CONTENTS ON LOWLAND RICE PROMISING LINES

2015 ◽  
Vol 15 (2) ◽  
pp. 79
Author(s):  
Siti Dewi Indrasari ◽  
Shinta Dewi Ardhiyanti ◽  
Buang Abdullah
Keyword(s):  
Folic Acid ◽  
Vitamin B1 ◽  
Brown Rice ◽  
Milling Process ◽  
Lowland Rice ◽  
Rice Cultivars ◽  
Cultivated Rice ◽  
Uv Detector ◽  
Milled Rice ◽  
Fluorescence Detector

Rice is an important source of vitamin B1 and folic acid, but cultivated rice cultivars contain low of these nutrient. Breeding program had been conducted and several advanced lines with a high vitamin B and folic acid contents were found. This research aimed to study the contents of vitamin B1 and folic acid in the brown rice and milled rice of fifteen promising lowland rice lines. Dried paddy (14% moisture content) were husked in the mini husker (Satake THU 35A) to obtain brown rice and milled rice by using abrasive-type mini polisher (Satake TM-05, 1,450 RPM for 2 minutes). Vitamin B1 and folic acid in the brown rice and milled rice were determined by using HPLC equipped with fluorescence detector for vitamin B1 and UV detector for folic acid. Four out of fifteen rice lines studied showed a unique characteristic of vitamin B1 content in the brown rice and milled rice. Rice lines which have highest vitamin B1 in the brown rice were B10267-4-PN-6-2-3-2-2-2-3-3-2 (3.03 mg 100 g-1), B10876H-MR-2 (2.13 mg 100 g-1), B10531E-KN-1-2-PN-1-4-2 (1.33 mg 100 g-1) and B12411E-RS*-1-2-1 (1.21 mg 100 g-1). However after milling, 43-92% of their vitamin B1 were lost; the least loss was observed in B12411E-RS*-1-2-1 (1.21 mg 100 g-1) which was only  4%. Three out of fifteen rice lines studied has highest folic acid in brown rice, i.e. BP400G-PN-12-3-6 (158.5 µg 100 g-1), B10876H-MR-2 (152.0 µg 100 g-1), and B11742-RS*-2-3-MR-5-5-1-Si-1-3 (100.0 µg 100 g-1). After milling the line B10876H-MR-2 had the highest folic acid content (52.0 µg 100 g-1), much higher than that of Ciherang variety as a control. This study indicates the importance of having a suitable milling instrument to minimize loss of vitamin B1 and folic acid. The study also suggests the importance of creating new rice cultivars that have high nutrient and resistant to milling process.

scholarly journals STUDY OF MILLING PROCESS AND ITS EFFECT ON VITAMIN B1 AND FOLIC ACID CONTENTS ON LOWLAND RICE PROMISING LINES

2015 ◽  
Vol 15 (2) ◽  
pp. 79
Author(s):  
Siti Dewi Indrasari ◽  
Shinta Dewi Ardhiyanti ◽  
Buang Abdullah
Keyword(s):  
Folic Acid ◽  
Vitamin B1 ◽  
Brown Rice ◽  
Milling Process ◽  
Lowland Rice ◽  
Rice Cultivars ◽  
Cultivated Rice ◽  
Uv Detector ◽  
Milled Rice ◽  
Fluorescence Detector

Rice is an important source of vitamin B1 and folic acid, but cultivated rice cultivars contain low of these nutrient. Breeding program had been conducted and several advanced lines with a high vitamin B and folic acid contents were found. This research aimed to study the contents of vitamin B1 and folic acid in the brown rice and milled rice of fifteen promising lowland rice lines. Dried paddy (14% moisture content) were husked in the mini husker (Satake THU 35A) to obtain brown rice and milled rice by using abrasive-type mini polisher (Satake TM-05, 1,450 RPM for 2 minutes). Vitamin B1 and folic acid in the brown rice and milled rice were determined by using HPLC equipped with fluorescence detector for vitamin B1 and UV detector for folic acid. Four out of fifteen rice lines studied showed a unique characteristic of vitamin B1 content in the brown rice and milled rice. Rice lines which have highest vitamin B1 in the brown rice were B10267-4-PN-6-2-3-2-2-2-3-3-2 (3.03 mg 100 g-1), B10876H-MR-2 (2.13 mg 100 g-1), B10531E-KN-1-2-PN-1-4-2 (1.33 mg 100 g-1) and B12411E-RS*-1-2-1 (1.21 mg 100 g-1). However after milling, 43-92% of their vitamin B1 were lost; the least loss was observed in B12411E-RS*-1-2-1 (1.21 mg 100 g-1) which was only  4%. Three out of fifteen rice lines studied has highest folic acid in brown rice, i.e. BP400G-PN-12-3-6 (158.5 µg 100 g-1), B10876H-MR-2 (152.0 µg 100 g-1), and B11742-RS*-2-3-MR-5-5-1-Si-1-3 (100.0 µg 100 g-1). After milling the line B10876H-MR-2 had the highest folic acid content (52.0 µg 100 g-1), much higher than that of Ciherang variety as a control. This study indicates the importance of having a suitable milling instrument to minimize loss of vitamin B1 and folic acid. The study also suggests the importance of creating new rice cultivars that have high nutrient and resistant to milling process.

scholarly journals Proteomics of Seed Nutrition-Associated Proteins in Germinated Brown Rice in Four Thai Rice Cultivars Analyzed by GeLC-MS/MS

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Sarunyaporn MAKSUP ◽  
Sarintip PONGPAKPIAN ◽  
Sittiruk ROYTRAKUL
Keyword(s):  
Total Phenolic Content ◽  
Phenolic Content ◽  
Oryza Sativa L ◽  
Brown Rice ◽  
Total Phenolic ◽  
Rice Cultivars ◽  
Serine Carboxypeptidase ◽  
Germinated Brown Rice ◽  
Associated Proteins ◽  
Germinated Seeds

Brown rice (BR) and germinated brown rice (GBR) of Oryza sativa L. are popularly consumed by Asians because of their important healthy diet components. They are known to contain bioactive compounds and nutrients, such as phenolics, vitamins, fatty acids, and sugars, which help to maintain good health and reduce the incidences of various chronic diseases. The objective of this study was to investigate the effects of germination on changes of nutrition-associated proteins in 4 rice cultivars. After germination for 24 h, the changes of seed nutrition-associated proteins were examined by shotgun proteomics. The total proteins from non-germinated seeds and 24 h germinated seeds of 4 rice cultivars were extracted and analyzed by in-gel digestion coupled with tandem mass spectrometry (GeLC-MS/MS). A total phenolic content was analyzed from the crude methanol extract of those grains after germination for 0, 24, and 48 h using Folin-Ciocalteu assay. The analysis showed that seed nutritional-associated proteins, especially phenolic-associated proteins, increased after germination according to the accumulation of the total phenolic content. The expressions of 6 phenolic-associated proteins, including phenylalanine ammonia-lyase, serine carboxypeptidase-like protein, isoflavone-7-O-methyltransferase, isoflavonoid glucosyltransferase, glycosyltransferase family 61 protein and UDP-glucose flavonoid 3-O-glucosyltransferase were increased by 2.20 - 15.90 folds after germination. This study provides evidence that rice germination for 24 h has essentially influenced the increased nutritional values of BR and the phenolic biosynthetic pathway.

scholarly journals (174) Determination of Fatty Acid Composition in 120 Korean Native Rice Cultivars

HortScience ◽  
2006 ◽  
Vol 41 (4) ◽  
pp. 1082D-1082 ◽  
Author(s):  
Kyoung-Shim Cho ◽  
Hyun-Ju Kim ◽  
Jae-Ho Lee ◽  
Jung-Hoon Kang ◽  
Young-Sang Lee
Keyword(s):  
Fatty Acids ◽  
Fatty Acid Composition ◽  
Oleic Acid ◽  
Fatty Acid ◽  
Linoleic Acid ◽  
Linolenic Acid ◽  
Acid Composition ◽  
Arachidic Acid ◽  
Brown Rice ◽  
Rice Cultivars

Fatty acid is known as a physiologically active compound, and its composition in rice may affect human health in countries where rice is the major diet. The fatty acid composition in brown rice of 120 Korean native cultivars was determined by one-step extraction/methylation method and GC. The average composition of 9 detectable fatty acids in tested rice cultivars were as followings: myristic acid; 0.6%, palmitic acid; 21.2%, stearic acid; 1.8%, oleic acid; 36.5%, linoleic acid; 36.3%, linolenic acid; 1.7%, arachidic acid; 0.5%, behenic acid; 0.4%, and lignoceric acid; 0.9%. Major fatty acids were palmitic, oleic and linoleic acid, which composed around 94%. The rice cultivar with the highest linolenic acid was cv. Jonajo (2.1%), and cvs. Pochoenjangmebye and Sandudo showed the highest composition of palmitic (23.4%) and oleic acid (44.8%), respectively. Cultivar Pochuenjangmebye exhitibed the highest composition of saturated fatty acid (28.1%), while cvs. Sandudo and Modo showed the highest mono-unsaturated (44.8%) and poly-unsaturated (42.4%) fatty acid composition, respectively. The oleic acid showed negative correlation with palmitic and linoleic acid, while positive correlation between behenic and lignoceric acids was observed.

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