• Title/Summary/Keyword: Extraction rate method

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Study on of Extraction Methods of Saponin in Ginseng Products (인삼제품의 Saponin 추출방법에 관한 연구)

  • 손현주;장진규
    • Journal of Ginseng Research
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    • v.8 no.1
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    • pp.32-37
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    • 1984
  • In order to shorten the extraction time of saponin in ginseng products, election with Extrelut column and phase-separation methods were compared. The results obtained are as follows. 1. Saponin of ginseng products was extracted completely within 3 hours by election method with Extrelut column, and the rate of removing glucose by the column was increased with increasing glucose content in ginseng products. 2. Stirring method was superior to refluxing method for removing sugars from ginseng products, and removing rate was deceased in the order of lactose, sucrose and glucose. 3. Extraction rate of ginsenoside from ginseng extracts by the elution method was nearly same as that of phase-separation method; however, the former was much higher than the latter in the case of ginseng teas. Therefore, the elution by Extrelut column is to be improper for extraction of saponin in ginseng tea which contains much sugar. It was necessary to remove lipophilic compounds for extraction of saponin from ginseng extracts by elution with Extrelut column.

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Analysis of arsenic in contaminated soil SRM by two extraction methods: Ultrasonic extraction method and Microwave extraction method

  • Kim, Youn-Tae;Yoon, Hyeon;Shin, Mi-Young;Yoon, Cheol-Ho;Woo, Nam-Chil
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2004.09a
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    • pp.227-230
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    • 2004
  • Two extraction techniques, Ultrasonic and Microwave extraction method, were tested for the determination of arsenic in contaminated soil SRM (Montana Soil). The extraction mixture was prepared by mixing 1 M ortho-phosphoric acid and 0.1 M ascorbic acid. This extractant was known to preserve arsenic species. The appropriate extraction time was 10 min to 20 min and the recovery rate was about 80%. A coupled system, SPE-HG-ICP-AES, was used for the determination of inorganic arsenic species. The detection limit was around 2 $\mu\textrm{g}$/1 and the linearity of calibration curve was better than $R^2$=0.99.

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Analysis of the Extraction Condition of Soluble Acidic Polysaccharides from Ginseng Marc (인삼박으로부터 수용성 산성다당체의 추출 조건 분석)

  • Choi, You-Jin;Hwang, Keum-Hee
    • Korean Journal of Pharmacognosy
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    • v.42 no.1
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    • pp.82-88
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    • 2011
  • This study was carried out to investigate the optimum conditions for extraction of soluble acidic polysaccharides from ginseng marc. Method of carbazole-sulfuric acid was applied to determine the amount of acidic polysaccharides in ginseng marc. The amounts of soluble acidic polysaccharides in water extract of ginseng marc were increased with increasing extraction temperature. The contents of acidic polysaccharides were not significantly different despite the extraction time increasing from 0.5 hours to 6 hours. To estimate the rehydration rate of the freeze dried polysaccharide, the extracted acidic polysaccharide fraction powder was determined the amount of soluble acidic polysaccharides by carbazole-sulfuric acid method again. The rehydration rate of acidic polysaccharides from water-extract of red ginseng marc at room temperature was 100%. On the other hand, the rehydration rate of acidic polysaccharide of red ginseng marc at boiling temperature was about 50%. The rehydration rate of acidic polysaccharides from water-extract of white ginseng marc at room temperature was 50%. The rehydration rate of acidic polysaccharide of red ginseng marc at boiling temperature was about 40%. The rate of soluble acidic polysaccharide of Red Ginseng is higher than that of White Ginseng. We can find out the maximum extraction method of soluble acidic polysaccharide from ginseng marc.

Complexing Capacity - A Measure of Evaluating Water Quality

  • Akaiwa, Hideo;Itabashi, Hideyuki
    • Analytical Science and Technology
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    • v.8 no.4
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    • pp.1089-1094
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    • 1995
  • Methods for the measurement of copper(II) complexing capacity (CuCC) of natural waters by using the back-extraction of bis(benzoyl-trifluoroacetonate)copper(II) and the extraction rate of dithizonato-copper(II) complex were described. Experimental results show that the CuCC of the Kiryu river water samples from urban area were consistently larger than those from up-stream, due to a ligand which originated from human activities.

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Speech Recognition Error Compensation using MFCC and LPC Feature Extraction Method (MFCC와 LPC 특징 추출 방법을 이용한 음성 인식 오류 보정)

  • Oh, Sang-Yeob
    • Journal of Digital Convergence
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    • v.11 no.6
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    • pp.137-142
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    • 2013
  • Speech recognition system is input of inaccurate vocabulary by feature extraction case of recognition by appear result of unrecognized or similar phoneme recognized. Therefore, in this paper, we propose a speech recognition error correction method using phoneme similarity rate and reliability measures based on the characteristics of the phonemes. Phonemes similarity rate was phoneme of learning model obtained used MFCC and LPC feature extraction method, measured with reliability rate. Minimize the error to be unrecognized by measuring the rate of similar phonemes and reliability. Turned out to error speech in the process of speech recognition was error compensation performed. In this paper, the result of applying the proposed system showed a recognition rate of 98.3%, error compensation rate 95.5% in the speech recognition.

Lip Region Extraction by Gaussian Classifier (가우스 분류기를 이용한 입술영역 추출)

  • Kim, Jeong Yeop
    • Journal of Korea Multimedia Society
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    • v.20 no.2
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    • pp.108-114
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    • 2017
  • Lip reading is a field of image processing to assist the process of sound recognition. In some environment, the capture of sound signal usually has significant noise and therefore, the recognition rate of sound signal decreases. Lip reading can be a good feature for the increase of recognition rates. Conventional lip extraction methods have been proposed widely. Maia et. al. proposed a method by the sum of Cr and Cb. However, there are two problems as follows: the point with maximum saturation is not always regarded as lips region and the inner part of lips such as oral cavity and teeth can be classified as lips. To solve these problems, this paper proposes a method which adopts the histogram-based classifier for the extraction of lips region. The proposed method consists of two stages, learning and test. The amount of computation is minimized because this method has no color conversion. The performance of proposed method gives 66.8% of detection rate compared to 28% of conventional ones.

A study on Extraction of Zinc in the Aqueous Water by D2EHPA (D2EHPA에 의한 수용액속의 아연 추출에 관한 연구)

  • Lee, Su Kyung
    • Journal of the Korean Society of Safety
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    • v.2 no.1
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    • pp.17-29
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    • 1987
  • The extraction mechanism of Zinc from aqueous solution with D2EHPA (Di-2-Ethylhexyl Phosphoric Acid) dissolved in Kerosene was studied by the single drop method. The effect of the concentrations of reactant species on the extraction rate, Zinc and hydrogen ion in the continuous phase and D2EHPA in the dispersed, was studied for the drop rise period by the experiment. Then a theoretical analysis on the basis of Handlos-Baron modle was carried out. It becomes clear that the extraction rate was controlled by the neutral complex forming reaction at the drop surface from both analysises. From effect of the concentrations of species on the reaction rate, the extraction rate at the drop surface is considered to be as follows. $${\gamma}_{pn}=9.42{\times}10^{-7}\;\frac{[Zn^{2+}][(HR)_2]^{3/2}}{[H^+]^{3/2}}$$

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Extraction Method of Antioxidants in Soybean Oil (Sweep Co-Distillation 법에 의한 산화방지제의 추출법)

  • 황혜정
    • The Korean Journal of Food And Nutrition
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    • v.12 no.4
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    • pp.358-363
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    • 1999
  • This study was conducted to evaluate the extraction methods for the determination of antioxidants in soybean oil. Recovery rates of various antioxidants in soybean oil showed similar rates as 80.4~102.1% by solvent/solvent extraction method and 89.9~106.4% by sweep co-distillation method except 46.6~61.2% of PG at corresponding spiked concentractions. The maximun recovery rates of antioxidnts were obtained when extraction time and extraction temperature used in UNITREX were 20min and 21$0^{\circ}C$ respectively. In the recovery rates with the activation of florisil when 2% ofwater was added to florisil the highest recovery rates for TBHQ, BHA, BHT were obtained by sweep co-distillation met-hod. Therefore sweep co-distillation method showed less solvent simple operation and high recovery rate compared with solvent/solvent extraction method.

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A Study on Extraction of Pitch and TSIUVC in Continuous Speech (연속음성신호에서 피치와 TSIUVC 추출에 관한 연구)

  • Lee See-Woo
    • Journal of Internet Computing and Services
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    • v.6 no.4
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    • pp.85-92
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    • 2005
  • In this paper, I propose a new extraction method Pitch Pulse and TSIUVC in continuous speech, The TSIUVC searching and extraction method is based on a zero-crossing rate and individual Pitch Pulse extraction method using FIR-STREAK filter. As a result, the extraction rate of individual pitch pulses was $96{\%}$ for male voice and $85{\%}$ for female voice respectively. The TSIUVC extraction rates are $94.9{\%}$ under $88{\%}$ for male voice and $94.9{\%}$ under $84.8{\%}$ for female voice. This method has the capability of being applied to a new speech coding of Voiced/Silence/TSIUVC, speech analysis and speech synthesis.

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Feature Extraction of ECG Signal for Heart Diseases Diagnoses (심장질환진단을 위한 ECG파형의 특징추출)

  • Kim, Hyun-Dong;Min, Chul-Hong;Kim, Tae-Seon
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.325-327
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    • 2004
  • ECG limb lead II signal widely used to diagnosis heart diseases and it is essential to detect ECG events (onsets, offsets and peaks of the QRS complex P wave and T wave) and extract them from ECG signal for heart diseases diagnoses. However, it is very difficult to develop standardized feature extraction formulas since ECG signals are varying on patients and disease types. In this paper, simple feature extraction method from normal and abnormal types of ECG signals is proposed. As a signal features, heart rate, PR interval, QRS interval, QT interval, interval between S wave and baseline, and T wave types are extracted. To show the validity of proposed method, Right Bundle Branch Block (RBBB), Left Bundle Branch Block (LBBB), Sinus Bradycardia, and Sinus Tachycardia data from MIT-BIH arrhythmia database are used for feature extraction and the extraction results showed higher extraction capability compare to conventional formula based extraction method.

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