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Study of texture properties rejuvenation for aged rice kernel
(2025-01-15)
Maichoon, Pisut
;
Choomjaihan, Prasan
Aged rice (stored > 3 months) undergoes significant texture changes, especially hardness and stickiness. Hardness increases, while stickiness decreases with aging. Rice grains were subjected to heat treatment using three different methods: hot air oven (HA), infrared (IR) and microwave (MW). The HA and IR applied heat at a temperature of 100°C, while the MW applied heat at a power of 800 watts. The heat treatment was applied for 3, 4, and 5 minutes. As a result, the hardness of aged rice treated with HA and IR was effectively reduced to 17.79±2.38 N and 17.73±1.26 N, respectively. In contrast, the MW exhibited a lesser reduction in hardness, reaching to 22.82±2.32 N. Regarding stickiness, no statistically significant differences were observed (p < 0.05). Furthermore, hardness exhibited a decreasing with increasing heating time. Additional parameters, Whiteness, transparency and Volume expansion, were also evaluated. Whiteness values were observed to exhibit an increase for all treatments, in contrast to transparency values, which demonstrated a decrease. Volume expansion values, on the other hand, displayed a stable trend, with the exception of MW treated samples, where a statistically significant increase (p < 0.05) was observed.
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The effects of operating conditions and the biomass component on combustion efficiency and emission performance of a swirling fluidized-bed combustor fired using
(2021-01-01)
Udomsup, Janya
;
Choomjaihan, Prasan
This work presents a study for biomass possible to bring renewable energy in a swirling fluidized bed combustor (SFBC). The main objective of this experimental work was to study the biomass component and excess air of biomass. Palmyra palm shell, Leucaena (lam.), and water hyacinth are using as fuel in the tests. Quartz sand of 600-850 µm and static bed height of 20 cm was used as inert bed material. For all of the tests, the feed rate was fixed as 45 kg h-1 for variable excess air (of 40%, 60% and 80%). As the experimental results, the temperature profiles in SFBC were obviously seen deviate when tests with higher excess air. In the test run, the highest cellulose (palmyra palm shell) for 80% excess air had CO and NO emissions were found in quite stable level (less than 250 and 300 ppm, respectively). The combustion efficiency more than 99% could be achieved in this work.
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Assessment of the suitability of land use for agriculture by analytical hierarchy process: Ahp in lower prachinburi watershed, Eastern Thailand
(2020-09-01)
Rukanee, Duangthip
;
Sangchan, Songvoot
;
Choomjaihan, Prasan
The low Prachinburi watershed is a gateway to other regions of the country. Due to a rapid increase in population there, there is also an increase in agricultural production area. This study aims to assess the appropriateness of land use by using an analytical hierarchy process (AHP) for land use planning. The results of the study revealed that there is a moderate level of the appropriateness in land use development. The most appropriate area (S1) accounts for 22.07%; the moderately appropriate area (S2) accounts for 54.15%; the lowly appropriate area (S3) accounts for 10.25%; and the inappropriate area accounts 13.52% of the area. Regarding a guideline for agricultural area management, it is found to be most appropriate, particularly on field crop growing such as cassava, sugar cane, and maize growing and followed by rice growing and or charding (58.51%, 25.17%, and 6.04%, respectively). Only 10.25% of the total area is inappropriate for farming.
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Applying singular value decomposition technique for quantifying the insects in commercial Thai Hommali Rice from NIR Spectrum
(2017-03-01)
Jarruwat, Puttinun
;
Choomjaihan, Prasan
Insect infestation in rice stock is a significant issue in rice exporting business, resulting in the loss of product quality, nutrient as well as the economic losses. However, detecting the insect contamination with the traditional sorting techniques were destructive, inaccurate, time consuming and unable to detect the internal insect infestation. This study used near infrared (NIR) spectroscopy for obtaining the absorbent spectra from the insect contamination in two kinds of rice samples, Milled Hommali rice (MHR) and Brown Hommali rice (BHR). The mathematical methods of partial least squares (PLSs) regression and singular value decomposition (SVD) were employed to construct the predicting model. The statistical analysis results, R2, RMSEP, RPD and bias, concluded that the predictive models from PLS for MHR and BHR were 0.95 and 0.90, 0.014 and 0.019, 4.79 and 3.11, as well as -0.007 and -0.008, respectively; while the statistical analysis results from SVD for MHR and BHR were 0.97 and 0.96, 0.012 and 0.013, 5.71 and 5.39, as well as -0.003 and 0.002, respectively. It showed that SVD technique performed better than PLS technique which shows that using the advantage of SVD technique required less amounts of wave numbers for predicting and was possible to construct the low cost handheld equipment for detecting the insects in rice samples.
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Applicability of near infrared spectroscopy for detecting post-fumigated weevils in packaged rice
(2017-01-01)
Jarruwat, Puttinun
;
Choomjaihan, Prasan
This research proposes the utilisation of Fourier transform near infrared spectroscopy to estimate post-fumigation rice weevils in packaged rice. Different mixtures of dead rice weevils in rice samples were scanned via Fourier transform near infrared through the package, and then the data were statistically analysed. The rice samples were of milled hom mali rice and brown hom mali rice, while the packaging materials were polyethylene plastic bags, polypropylene woven plastic sacks and hemp sacks. The results revealed that Fourier transform near infrared is most applicable for detecting dead rice weevils in milled hom mali rice in polyethylene bags as indicated respectively by validation r2 and RPD values of 0.93 and 3.92, followed by the milled hom mali rice-polypropylene case with r2 and RPD values of 0.87 and 3.05. The r2 and RPD values were 0.86 and 3.00 for brown hom mali rice-polyethylene and 0.75 and 2.04 for brown hom mali rice-polypropylene. Due to poor penetration of NIR light through the hemp sacks, experiments were not carried out for this packaging material type.
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Feasibility study on estimation of rice weevil quantity in rice stock using near-infrared spectroscopy technique
(2014-01-01)
Jarruwat, Puttinun
;
Choomjaihan, Prasan
Thai rice is favored by large numbers of consumers of all continents because of its excellent taste, fragrant aroma and fine texture. Among all Thai rice varieties, Thai Hommali rice is the most preferred. Classification of rice as premium quality requires that almost all grain kernels of the rice be perfectly whole with only a small quantity of foreign particles. Of all the foreign particles found in rice, rice weevils can wreck severest havoc on the quality and quantity of rice such that premium grade rice is transformed into low grade rice. It is widely known that rice millers adopt the «overdose» fumigation practice to control the birth and propagation of rice weevils, the practice of which inevitably gives rise to pesticide residues on rice which end up in the body of consumers. However, if population concentration of rice weevils could be approximated, right amounts of chemicals for fumigation would be applied and thereby no overdose is required. The objective of this study is thus to estimate the quantity of rice weevils in both milled rice and brown rice of Thai Hommali rice variety using the near infrared spectroscopy (NIRS) technique. Fourier transforms near infrared (FT-NIR) spectrometer was used in this research and the near-infrared wavelength range was 780-2500 nm. A total of 20 levels of rice weevil infestation with an increment of 10 from 10 to 200 mature rice weevils were applied to 1680 rice samples. The spectral data and quantity of weevils are analyzed by partial least square regression (PLSR) to establish the model for prediction. The results show that the model is able to estimate the quantity of weevils in milled Hommali rice and brown Hommali rice with high R2val of 0.96 and 0.90, high RPD of 6.07 and 3.26 and small bias of 2.93 and 2.94, respectively. © 2014 The Authors.

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