• YAKHAK HOEJI
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• v.50 no.1
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• pp.8-14
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• 2006

A 1 : 1 mixture of acriflavine (ACF; CAS 8063-24-9) and guanosine is currently being evaluated as a possible antitumor agent in preclinical studies. Guanosine is known to potentiate the anticancer activity of some compounds. However, the distributions of trypaflavine (TRF) or proflavine (PRF) have not been investigated in mammals. We, therefore, investigated the distribution of TRF and PRF after i.m. administration of the combination mixture (ACF and guanosine) at a dose of 30 mg/kg ACF in rats. to analyze TRF and PRF levels in biological samples, we used an HPLC-based method. The calibration curves for TRF and PRF in the samples were linear over the concenration range of $0.05{\sim}200\;{\mu}g/ml$. The intra- and inter-day assay accuracies of this method were within ${\pm}15\%$ of norminal values and the precision did not exceed $15\%$ of relative standard diviation. The lower limits of quantitation were 50 ng/ml for both TRF and PRF. The distribution of TRF or PRF was determined by 48 h after i.m. administration of the combination mixture at a dose of 30 mg/kg ACF. TRF and PRF were distributed as the following order; kidney>lung>liver>small intestine>muscle. Of the various tissues, TRF and PRF were mainly distributed to the kidney and lung. The concentrations of TRF or PRF in the tissues 24 h after i.m. administration decreased to undetectable levels. The concentrations of TRF or PRF in the blood cells were comparable to those for the plasma. However, the concentrations of TRF or PRF in the both plasma and blood cells 12 h after i.m. administration were not detected. The number of the platelets in the 1 ml of the blood was calculated to be $0.183{\times}10^8/ml$ of blood. The PRF concentration in platelets was higher than that of TRF at initial times after i.m. administration of the combination mixture. However, both the TRF and PRF concentrations in the plateles 24 h after i.m. administration of the combination mixture were below the quantifiable limit. In conclusion, the concentrations of TRF or PRF in the various tissues, plasma, blood cells, and plateles decreased to undetectable levels 24 h after i.m. administration of the combination mixture at a dose of 30 mg/kg ACF.

• Asian-Australasian Journal of Animal Sciences
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• v.33 no.5
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• pp.704-711
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• 2020

Objective: Muscle fiber types, numbers and area are crucial aspects associated with meat production and quality. However, there are few studies of pig muscle fibre traits in terms of the detection power, false discovery rate and confidence interval precision of whole-genome quantitative trait loci (QTL). We had previously performed genome scanning for muscle fibre traits using 183 microsatellites and detected 8 significant QTLs in a White Duroc×Erhualian F₂ population. The confidence intervals of these QTLs ranged between 11 and 127 centimorgan (cM), which contained hundreds of genes and hampered the identification of QTLs. A whole-genome sequence imputation of the population was used for fine mapping in this study. Methods: A whole-genome sequences association study was performed in the F₂ population. Genotyping was performed for 1,020 individuals (19 F₀, 68 F₁, and 933 F₂). The whole-genome variants were imputed and 21,624,800 single nucleotide polymorphisms (SNPs) were identified and examined for associations to 11 longissimus dorsi muscle fiber traits. Results: A total of 3,201 significant SNPs comprising 7 novel QTLs showing associations with the relative area of fiber type I (I_RA), the fiber number per square centimeter (FN) and the total fiber number (TFN). Moreover, one QTL on pig chromosome 14 was found to affect both FN and TFN. Furthermore, four plausible candidate genes associated with FN (kinase non-catalytic C-lobe domain containing [KNDC1]), TFN (KNDC1), and I_RA (solute carrier family 36 member 4, contactin associated protein like 5, and glutamate metabotropic receptor 8) were identified. Conclusion: An efficient and powerful imputation-based association approach was utilized to identify genes potentially associated with muscle fiber traits. These identified genes and SNPs could be explored to improve meat production and quality via marker-assisted selection in pigs.

• Korean Journal of Environmental Agriculture
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• v.32 no.3
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• pp.207-213
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• 2013

BACKGROUND: This study was conducted to develop analytical method with reproducibility, accuracy and applicability to agricultural products than the existing methods. METHODS AND RESULTS: Mean recoveries of thidiazuron ranged from 89.2 to 91.2 in hulled rices, 87.2 to 92.1 in peppers, from 76.4 to 86.9 in potatoes, from 91.2 to 95.7 in watermelons, from 86.5 to 88.5 in kiwi fruits, and from 89.5 to 94.0 in grapes, with less than 10% of relative standard deviations. In addition, the limit of quantitation was set to be 0.05 mg/kg and there were no interfering peaks in integrating the thidiazuron peak. CONCLUSION(S): These results represent that the enhanced analytical method has reliable accuracy, precision, selectivity, and sensitivity.

• Korean Journal of Food Science and Technology
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• v.43 no.1
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• pp.1-5
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• 2011

It is possible that veterinary medicines remain in livestock food products, according to the use of many and various veterinary medicines to protect against disease when livestock animals are breed in limited space. Concentrated and continuous monitoring of residues is needed due to increases in resistance to antibiotics and side effects by eating livestock food products. We developed an analysis method for detecting streptomycin, dihydrostreptomycin, neomycin, gentamicin and spectinomycin in meat using LC/MS/MS and measured sensitivity, precision, accuracy, linearity and recovery according to CODEX guidelines to acquire confidence in the analysis method. Based on the results, we acquired good sensitivity compared to the maximum residue limit (MRL) as limits of detection (LOD) were 0.002-0.016 mg/kg and limits of quantification (LOQ) were 0.006-0.050 mg/kg. The analysis method satisfied the CODEX guidelines. The linearity ($r^2$) values of aminoglycoside antibiotics were 0.9936-0.9980, recoveries were 60-110% and relative standard deviations (RSD) were within 15%. As a result of monitoring for residues in a total 250 samples of livestock foods such as pork, chicken, and beef by the confirmed method, dihydrostreptomycin and gentamicin were detected in 5 pork samples. The residues of these antibiotics were within the MRLs. Thus, the detection ratio was 2% as 5 samples were identified from 250 samples.

• Journal of Food Hygiene and Safety
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• v.30 no.4
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• pp.366-371
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• 2015

This work was conducted to apply the multi class pesticide multiresidue method for determining the use of hexaconazole in the agricultural products using GC-NPD. The multi class pesticide multiresidue method results were validated for the assay of hexaconazole by using linearity, accuracy, precision, limit of detection and quantitation. The linearity in the concentration ranged from 0.025 to 5.0 mg/L ($R^2$ > 0.999). Lettuce recoveries ranged from 89.42% to 94.15% with relative standard deviations below 7.78%, for spiking levels from 0.04 to 4.0 mg/kg. The limit of detection was 0.04 mg/kg, and the limit of quantitation was 0.11 mg/kg. The intra- and inter-day precisions were 2.42~3.49% and 4.90~7.78%, respectively. We suggested that the multi class pesticide multiresidue method for determining hexaconazole was highly accurate and reproducible, and it will be used as a routine analysis in agricultural products.

• Journal of Food Hygiene and Safety
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• v.33 no.1
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• pp.58-64
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• 2018

An analytical method for the determination of cephalexin (CEX) in bovine tissues (muscle, liver, kidney and fat tissues) was developed and validated using liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). Tissue samples were extracted by the liquid-liquid extraction based on 5% trichloroacetic acid (TCA). The chromatographic separation was achieved on a reverse phase $C_{18}$ column with gradient elution using a mobile phase of 20 mM hexafluroacetylacetone (HFAC)/50% acetonitrile (40:60). The procedure was validated according to the Ministry of Food and Drug Safety guideline determining accuracy, precision, and limit of detection. Mean recoveries of CEX from spiked edible tissues ($6{\sim}1,500{\mu}g/kg$) were 83.9~106.8%, and the relative standard deviation was between 2.3 and 14.8%. Linearities were obtained with the correlation coefficient ($r^2$) of > 0.999. Limit of detection and limit of quantification for the investigated CEX were 2~10 and $6{\sim}30{\mu}g/kg$, respectively. This method was reliable, sensitive, economical and suitable for routine monitoring of CEX residues in bovine edible tissues.

• Journal of Food Hygiene and Safety
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• v.35 no.3
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• pp.213-218
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• 2020

This study was conducted to develop a method of analysis for 4-hydroxy-L-isoleucine in the seed extract of fenugreek (Trigonella foenum graecum), a health functional food that contains dietary fiber. The analytical method for 4-hydroxy-L-isoleucine was derived with O-phthaldialdehyde reagent (OPA) and determined by HPLC-PDA. The method was performed on a Capcell Pak C₁₈ UG 120 column (4.6×250 mm, 5 ㎛) in isocratic elution mode using disodium phosphate and acetonitrile. The validation of the developed analytical method was conducted by evaluating several parameters; selectivity, linearity, limit of detection (LOD), limit of quantification (LOQ), accuracy and repeatability. Excellent linearity (R²=0.999) was observed for 4-hydroxy-L-isoleucine in the concentration range (5-100 ㎍/mL). Observed recoveries of these compounds were found to be between 91.7 and 96.4%. Precision was between 0.2 and 2.4% relative standard deviation (%RSD).

• Korean Journal of Food Science and Technology
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• v.38 no.6
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• pp.725-729
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• 2006

A method was developed for the determination of fructooligosaccharides and raffinose contents in infant formula. The samples were extracted and analyzed by liquid chromatography equipped with carbohydrate column and evaporative light scattering detector. The mobile phase used for the gradient mode was water-acetonitrile, at a flow rate of 1.0mL/min. The method showed a mean recovery of 95-99%, the relative standard deviation obtained in the precision study was 0.774-8.982%, the quantification and detection limits were 25-50mg/L.

• Journal of Korean Society of Environmental Engineers
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• v.39 no.5
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• pp.288-302
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• 2017

Accurate measurement of benthic nutrient fluxes (BNF) is a prerequisite for evaluating the effect of sediments on nutrient cycle in the surface water. The intact sediment cores were collected in July 2015 at the midstream of Nakdong River. We identified pre-incubation time (6, 12, 24 hr), dissolved oxygen concentration (90, 70, 50% saturation), diffusive boundary layer thickness (0, 0.6-0.8, 1.2-1.4 mm), and incubation temperature (10, 17, 20, $25^{\circ}C$) as the most important control factors, and measured the BNF fluctuation with the variation of these factors using the laboratory sediment core incubation method. Since the chemical composition, redox condition, hydrodynamic regimes and microbial activities at the sediment-water interface were changed as a result of the alteration of control factors, sediment core incubation should be conducted under as close to the natural conditions of study site as possible, in order to produce the results similar to actual values. Relative percentage differences between two replicates were below 20% in most control factors, which showed satisfactory precision for strict compliance with the experimental conditions and procedures. In the further studies, we will compare the results of core incubation with those of in situ measurements to confirm the accuracy of the sediment core incubation method.

• Journal of Biosystems Engineering
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• v.43 no.2
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• pp.148-159
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• 2018

Purpose: Unmanned air vehicle (UAV) remote sensing was applied to test various vegetation indices and make prediction models of protein content of rice for monitoring grain quality and proper management practice. Methods: Image acquisition was carried out by using NIR (Green, Red, NIR), RGB and RE (Blue, Green, Red-edge) camera mounted on UAV. Sampling was done synchronously at the geo-referenced points and GPS locations were recorded. Paddy samples were air-dried to 15% moisture content, and then dehulled and milled to 92% milling yield and measured the protein content by near-infrared spectroscopy. Results: Artificial neural network showed the better performance with $R^2$ (coefficient of determination) of 0.740, NSE (Nash-Sutcliffe model efficiency coefficient) of 0.733 and RMSE (root mean square error) of 0.187% considering all 54 samples than the models developed by PR (polynomial regression), SLR (simple linear regression), and PLSR (partial least square regression). PLSR calibration models showed almost similar result with PR as 0.663 ($R^2$) and 0.169% (RMSE) for cloud-free samples and 0.491 ($R^2$) and 0.217% (RMSE) for cloud-shadowed samples. However, the validation models performed poorly. This study revealed that there is a highly significant correlation between NDVI (normalized difference vegetation index) and protein content in rice. For the cloud-free samples, the SLR models showed $R^2=0.553$ and RMSE = 0.210%, and for cloud-shadowed samples showed 0.479 as $R^2$ and 0.225% as RMSE respectively. Conclusion: There is a significant correlation between spectral bands and grain protein content. Artificial neural networks have the strong advantages to fit the nonlinear problem when a sigmoid activation function is used in the hidden layer. Quantitatively, the neural network model obtained a higher precision result with a mean absolute relative error (MARE) of 2.18% and root mean square error (RMSE) of 0.187%.