Physical and Chemical Characterization of Rice Using Microwave and Laboratory Methods

You, Kok Yeow; Li, You; Chen, Yue; Mun, Hou Kit; Lee, ChiaYew

doi:10.5772/66001

Cited by 10 publications

(6 citation statements)

References 14 publications

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“…The upper value of 28% MC was chosen to demonstrate the worst condition for rice grains, because the maximum MC of paddy grains post-harvesting process is about 25% [ 9 ]. Equations (15) and (16) below represent the correlation between complex dielectric properties of rice grains,

and

, with MC, based on the regression method modelled by [ 41 , 42 , 43 ], using the average of ten common types of rice grain in Malaysia’s marketplace.

where the value of coefficients

and

are for the polynomial expression of the dielectric constant,

, and dielectric loss factor,

, respectively.…”

Section: Finite Element Modelling Of Rti Systemmentioning

confidence: 99%

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A New Method of Rice Moisture Content Determination Using Voxel Weighting-Based from Radio Tomography Images

Ramli

Rahiman

Kamarudin

et al. 2021

Sensors

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This manuscript presents a new method to monitor and localize the moisture distribution in a rice silo based on tomography images. Because the rice grain is naturally hygroscopic, the stored grains’ quality depends on their level of moisture content. Higher moisture content leads to fibre degradation, making the grains too frail and possibly milled. If the moisture is too low, the grains become brittle and are susceptible to higher breakage. At present, the single-point measurement method is unreliable because the moisture build-up inside the silo might be distributed unevenly. In addition, this method mostly applies gravimetric analysis, which is destructive. Thus, we proposed a radio tomographic imaging (RTI) system to address these problems. Four simulated phantom profiles at different percentages of moisture content were reconstructed using Newton’s One-Step Error Reconstruction and Tikhonov Regularization algorithms. This simulation study utilized the relationship between the maximum voxel weighting of the reconstructed RTI image and the percentage of moisture content. The outcomes demonstrated promising results, in which the weighting voxel linearly increased with the percentage of moisture content, with a correlation coefficient higher than 0.95 was obtained. Therefore, the results support the possibility of using the RTI approach for monitoring and localizing the moisture distribution inside the rice silo.

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and

, with MC, based on the regression method modelled by [ 41 , 42 , 43 ], using the average of ten common types of rice grain in Malaysia’s marketplace.

where the value of coefficients

and

are for the polynomial expression of the dielectric constant,

, and dielectric loss factor,

, respectively.…”

Section: Finite Element Modelling Of Rti Systemmentioning

confidence: 99%

“…The coefficients in Equations (15) and (16) are expressed as a function of frequency,

, as tabulated in Table 1 below [ 41 , 42 , 43 ].…”

Section: Finite Element Modelling Of Rti Systemmentioning

confidence: 99%

A New Method of Rice Moisture Content Determination Using Voxel Weighting-Based from Radio Tomography Images

Ramli

Rahiman

Kamarudin

et al. 2021

Sensors

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“…These needs result in vivid research activities around the design of sensors, and particularly around sensors aimed to detect compound concentrations in liquids. Notably, this area is of key importance for applications such as food and drug industry 3 – 6 or for biomedical application 7 , 8 . Tracking concentrations of specific compounds into solutions can rely on several physical principles such as chemical reactions, optical, electrical, or electromagnetic properties to cite a few.…”

Section: Introductionmentioning

confidence: 99%

Dielectric characterization and modelling of aqueous solutions involving sodium chloride and sucrose and application to the design of a bi-parameter RF-sensor

Nguenouho

Chevalier

Potelon

et al. 2022

Sci Rep

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This paper reports on dielectric properties of ternary mixtures involving sodium chloride (NaCl) and sucrose (C12H22O11) dissolved into water (H2O). Broadband electromagnetic characterizations of such mixtures at various concentrations were performed, evidencing a dual behavior made of conductive effects at low frequencies and dipolar relaxation at microwave frequencies. Conductive and dielectric properties resulting from these both effects were integrated into predictive models for variations of Cole–Cole model parameters. Based upon this modelling, an innovative microwave-based sensor able to retrieve concentrations of both sodium chloride and sucrose in ternary aqueous solutions was introduced, designed, realized and assessed. The proposed sensor shows an error lower than 5.5% for concentration ranges of 0 to 154 mmol/L for sodium chloride and 0 to 877 mmol/L for sucrose.

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“…The most cultivated varieties are Oryza sativa and Oryza glaberrima. Oryza sativa known as Asian rice (Lemus et al, 2014), divided into japonica and indica sub species, widely cultivated due to grain stickiness and length (You et al, 2017). The rice production also depends upon favorable weather conditions (Khush and Jena, 2009).…”

Section: Introductionmentioning

confidence: 99%

<em>In-silico</em> Characterization and Comparative Analysis of BLB Disease Resistance Xa genes in <em>Oryza sativa</em>

Ramzan¹,

Asghar²,

Rehman³

et al. 2020

Preprint

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Globally, rice is utilized as staple food, belongs to the family Poaceae. From the past few decades under variable climate conditions, it greatly affected by the bacterial leaf blight (BLB) disease caused by a bacterium Xanthomonas oryzae pv. oryzae (Xoo). Scientists studied causes of the disease and found more than 61 isolates of Xoo. About 39 Xa genes were noted that cause race specifically resistance either individually or in pairs against Xoo. The canvas on the characterization of these genes is still unrevealed. In this study, amino acid sequences of Xa15, Xa19, Xa20 and Xa21 were mined and used for motif-domain identification, characterization, and comparative analysis. It includes screening of physical and chemical characteristics, sequence comparison to find sequence similarity between them and their phylogenetic comparison with other Xa genes and other species based upon LRR and S_TKc domains to find evolutionary relationship among them. The comparison-based modeling was performed and assessed by different tools to gain better understanding and structural evaluation. The results showed identified domains are specific in function, each domain involved in resistance against biotic and abiotic stresses through regulating different cellular processes. This study also revealed high similarity (>98% sequence identity) between these genes and encode a similar leucine-rich repeat receptor kinase like protein. It will optimize the breeding programs as it will be useful for the selection of effective genes to produce resistance in rice varieties against the specific strains of Xoo that will be more effective against BLB than the other Xa genes.

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Physical and Chemical Characterization of Rice Using Microwave and Laboratory Methods

Cited by 10 publications

References 14 publications

A New Method of Rice Moisture Content Determination Using Voxel Weighting-Based from Radio Tomography Images

A New Method of Rice Moisture Content Determination Using Voxel Weighting-Based from Radio Tomography Images

Dielectric characterization and modelling of aqueous solutions involving sodium chloride and sucrose and application to the design of a bi-parameter RF-sensor

<em>In-silico</em> Characterization and Comparative Analysis of BLB Disease Resistance Xa genes in <em>Oryza sativa</em>

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