• Title/Summary/Keyword: Spectrum Range

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Quantitative Analysis of Acid Value, Iodine Value and Fatty Acids Content in Sesame Oils by NIRS (근적외선분광광도법을 이용한 참기름의 산가, 요오드가, 지방산정량법에 관한 연구)

  • Kim, Jae-Kwan;Lee, Myung-Jin;Kim, Myung-Gill;Kim, Kyung-A;Park, Eun-Mi;Kim, Young-Sug;Ko, Hoan-Uck;Son, Jin-Seok
    • Journal of Food Hygiene and Safety
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    • v.21 no.4
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    • pp.204-212
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    • 2006
  • This study was conducted to investigate the possibility of rapid and non-des tructive evalution of AV (Acid Value), IV (Iodine Value) and fatty acids in sesame oils. The samples were scanned over the range $400\sim2500nm$ using transmittance spectrum of NIRS(Near-infrared spectroscopy). A calibration equation calculated by MPLS regression technique was developed and correlation coefficient of determination for AV, IV, palmitic acid, stearic acid, linoleic acid and linolenic acid content were 0.9907, 0.9677, 0.9527, 0.9210, 0.9829, 0.9736 and 0.9709 respectively. The validation model for measuring the AV content had R of 0.989, SEP of 0.058 and IV content had R of 0.944, SEP of 0.562 and palmitic acid content had R of 0.924, SEP of 0.194 and stearic acid content had R of 0.717, SEP of 0.168 and oleic acid content had R of 0.989, SEP of 0.221 and linoleic acid content had R of 0.967, SEP of 0.297 and linolenic acid content had R of 0.853, SEP of 0.480 by MPLS. The obtained results indicate that the NIRS procedure can potentially be used as a non-destructive analysis method for the purpose of rapid and simple measurement of AV, IV and fatty acids in sesame oils.

Analysis of Volatile Compounds in Kimchi-Flavored Steak Sauce (김치를 이용한 스테이크소스의 휘발성 향기성분)

  • Cho, Yong-Bum;Park, Woo-Po;Jung, Eun-Joo;Lee, Mi-Jeong;Lee, Yang-Bong
    • Korean Journal of Food Science and Technology
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    • v.34 no.3
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    • pp.351-355
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    • 2002
  • Volatile compounds of kimchi-flavored steak sauce were isolated using simultaneous steam distillation and solvent extraction methods and identified by matching mass spectrum and retention index (RI) with the reference data. Twenty-three compounds including five aldehydes, four alcohols, four acids, three sulfur-containing compounds, one ketone, and six others were identified, among which the most abundant compound was eugenol. Sulfides such as dimethyl dis- and trisulfides, and acids such as acetic and dodecanoic acids showed strong effects on the kimchi flavor. Aroma extract dilution analysis with three fold dilution factor shown in over the FD value 34 identified 2-butanal, 2-pentylfuran, methyl-2-propenyl disulfide, and 2-furanmethanol. Strong good aroma was detected in the RI range between 1030 and 1357, bad aroma in RI 1561, sweety aroma in RI 2057, clover aroma of eugenol in RI 2122, and rancid flavor in RI 2251.

Automatic Selection of Optimal Parameter for Baseline Correction using Asymmetrically Reweighted Penalized Least Squares (Asymmetrically Reweighted Penalized Least Squares을 이용한 기준선 보정에서 최적 매개변수 자동 선택 방법)

  • Park, Aaron;Baek, Sung-June;Park, Jun-Qyu;Seo, Yu-Gyung;Won, Yonggwan
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.3
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    • pp.124-131
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    • 2016
  • Baseline correction is very important due to influence on performance of spectral analysis in application of spectroscopy. Baseline is often estimated by parameter selection using visual inspection on analyte spectrum. It is a highly subjective procedure and can be tedious work especially with a large number of data. For these reasons, it is an objective and automatic procedure is necessary to select optimal parameter value for baseline correction. Asymmetrically reweighted penalized least squares (arPLS) based on penalized least squares was proposed for baseline correction in our previous study. The method uses a new weighting scheme based on the generalized logistic function. In this study, we present an automatic selection of optimal parameter for baseline correction using arPLS. The method computes fitness and smoothness values of fitted baseline within available range of parameters and then selects optimal parameter when the sum of normalized fitness and smoothness gets minimum. According to the experimental results using simulated data with varying baselines, sloping, curved and doubly curved baseline, and real Raman spectra, we confirmed that the proposed method can be effectively applied to optimal parameter selection for baseline correction using arPLS.

A Frequency-Sharing Method to Use Frequency Resources Efficiently (효율적인 주파수 이용을 위한 주파수 공유 방법)

  • Kang, Sang-Gee;Hwang, Taek-Jin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.8
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    • pp.1349-1355
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    • 2008
  • Recently many short-range transceiver systems, such as ZigBee, Bluetooth and RFID(Radio Frequency Identification), have been developed. These systems are mostly low-power transceivers. In the near future many more low-power transceivers are appeared for WPAN(Wireless Personal Area Network) and interference mitigation technologies are necessary to the low-power transceivers for using frequency resources efficiently. In this paper we consider two methods for sharing frequency resources. The first case is that a frequency band previously assigned fer a certain system is shared and the second case is that the white frequency band is shared. We study the method and conditions for sharing frequency resources in the above two cases. When a frequency band is shared with ZigBee, RFID, DCP (Digital Cordless Phone) and Bluetooth as an example for the first case, the sharing conditions are investigated and the results are presented. We propose a balancing factor to maintain an equal transmitting conditions between systems having a different interference mitigation technique. In the interference simulation we use FH(Frequency Hopping) as a reference system and 0.9 of a balancing factor for LBT(Listen Before Talk) and 0.8 for DS(Direct Spreading). From the simulation results we know that a balancing factor reduces interference probability therefore many more systems can be operated in the same frequency bands compared with the case without using a balancing factor.

Electromagnetic Wave and EMF Attenuation by Shielding Materials in home appliances (가전제품 전자파 현황 및 차폐재에 의한 감쇄 효과)

  • Cho, Jae-Cheol;Park, Jae-Hwan
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.6
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    • pp.711-718
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    • 2019
  • Spectrum analyzer and electromagnetic field meter were used to investigate the EM generation behaviour in different types of home electrical appliances. During microwave oven operation, the EM power measured at a point 30cm apart was measured in the range of 8~11mW/㎡, the strength of the low frequency magnetic field was 60~80mG and the electric field strength was measured at 150~160V/m. For smart phone wireless charging pad, it was measured at an electromagnetic power of 0.4mW/㎡, an electric field of 160 V/m and a magnetic field of 1mG at a point 10cm away. For microwave oven and wireless charging pad, if used within 10cm, the size of the electric field has been measured at a large value that exceeds the human body protection standard and may be hazardous to humans. On the other hand, home appliances such as TVs, hairdryers and refrigerators all showed very low levels of electromagnetic waves, electric fields and magnetic fields, with no harmful effects seen. For electromagnetic shielding, the metal Cu fabric and metal foil had a high level of EM shielding, while polymer films had a low EM shielding characteristic.

Decision function for optimal smoothing parameter of asymmetrically reweighted penalized least squares (Asymetrically reweighted penalized least squares에서 최적의 평활화 매개변수를 위한 결정함수)

  • Park, Aa-Ron;Park, Jun-Kyu;Ko, Dae-Young;Kim, Sun-Geum;Baek, Sung-June
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.3
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    • pp.500-506
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    • 2019
  • In this study, we present a decision function of optimal smoothing parameter for baseline correction using Asymmetrically reweighted penalized least squares (arPLS). Baseline correction is very important due to influence on performance of spectral analysis in application of spectroscopy. Baseline is often estimated by parameter selection using visual inspection on analyte spectrum. It is a highly subjective procedure and can be tedious work especially with a large number of data. For these reasons, an objective procedure is necessary to determine optimal parameter value for baseline correction. The proposed function is defined by modeling the median value of possible parameter range as the length and order of the background signal. The median value increases as the length of the signal increases and decreases as the degree of the signal increases. The simulated data produced a total of 112 signals combined for the 7 lengths of the signal, adding analytic signals and linear and quadratic, cubic and 4th order curve baseline respectively. According to the experimental results using simulated data with linear, quadratic, cubic and 4th order curved baseline, and real Raman spectra, we confirmed that the proposed function can be effectively applied to optimal parameter selection for baseline correction using arPLS.

Isolation and characterization of bacteriophages for the control of Shiga Toxin-producing E. coli (시가 독소 생성 대장균의 제어를 위한 박테리오파지의 분리와 특성 분석)

  • Lim, Ga-Yeon;Park, Do Won;Lee, Young-Duck;Park, Jong-Hyun
    • Korean Journal of Food Science and Technology
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    • v.50 no.6
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    • pp.594-600
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    • 2018
  • Shiga toxin-producing Escherichia coli (STEC) is an important pathogenic bacterium. To control STEC, the characteristics of the ECP33 and NOECP91 coliphages, which belong to the Myoviridae family, were analyzed. The host inhibition range for a total of 44 STEC strains was 45.5% for ECP33 and 65.9% for NOECP91. ECP33 and NOECP91 were relatively stable at $65^{\circ}C$, 50 ppm of sodium hyperchlorite, and a pH value of 4-10. However, the two phages were susceptible to a temperature of $70^{\circ}C$. NOECP91 was killed within 1 h after exposure to 30% ethanol, but ECP33 showed high tolerance even after exposure to 70% ethanol for 1 h. Interestingly, the inhibition of STEC growth according to the multiplicity of infection of 0.1 was confirmed until no growth was observed after 10 hours of culture with the phages. Therefore, the ECP33 and NOECP91 phages may be applied as a biological control agent for Shiga toxin-producing E. coli.

Performance Evaluation of Mid-IR Spectrometers by Using a Mid-IR Tunable Optical Parametric Oscillator (중적외선 광 파라메트릭 발진기를 이용한 중적외선 분광기 성능 평가)

  • Nam, Hee Jin;Kim, Seung Kwan;Bae, In-Ho;Choi, Young-Jun;Ko, Jae-Hyeon
    • Korean Journal of Optics and Photonics
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    • v.30 no.4
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    • pp.154-158
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    • 2019
  • We have used a mid-IR (mid-infrared) continuous-wave (cw) optical parametric oscillator (OPO), developed previously and described in Ref. 12, to build a performance-evaluation setup for a mid-IR spectrometer. The used CW OPO had a wavelength tuning range of $ 2.5-3.6{\mu}m$ using a pump laser with a wavelength of 1064 nm and a fan-out MgO-doped periodically poled lithium niobate (MgO:PPLN) nonlinear crystal in a concentric cavity design. The OPO was combined with a near-IR integrating sphere and a Fourier-transform IR optical spectrum analyzer to build a performance-evaluation setup for mid-IR spectrometers. We applied this performance-evaluation setup to evaluating a mid-IR spectrometer developed domestically, and demonstrated the capability of evaluating the performance, such as spectral resolution, signal-to-noise ratio, spectral stray light, and so on, based on this setup.

Photocatalytic Decomposition of Rhodamine B over BiVO4 Doped with Samarium Ion (Sm 이온이 도핑된 BiVO4에서 로다민 B의 광촉매 분해 반응)

  • Hong, Seong-Soo
    • Clean Technology
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    • v.27 no.2
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    • pp.146-151
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    • 2021
  • Pure and Sm ion doped BiVO4 catalysts were synthesized using a conventional hydrothermal method and characterized by XRD, DRS, SEM, and PL. We also examined the activity of these materials on the photocatalytic decomposition of rhodamine B under visible light irradiation. The doping of Sm ion into BiVO4 catalyst changed the ms-BiVO4 crystal structure into the tz-BiVO4 crystal structure in the low synthesis temperature. Light absorption analysis using DRS showed that all the catalysts displayed strong absorption in the visible range of the electromagnetic spectrum regardless of Sm ion doping. In addition, an amorphous morphology was shown in the pure BiVO4 catalyst, but the morphology of the BiVO4 catalyst doped with Sm ion was changed into an ellipse shape and also the particle size decreased. In the photocatalytic decomposition of rhodamine B, Sm ion doped BiVO4 catalyst showed higher photocatalytic activity than the pure BiVO4 catalyst. In addition, the Sm3-BVO catalyst doped with 3% Sm ion showed the highest photocatalytic activity, as well as the highest formation rate of OH radicals (•OH) and the highest PL peak. This result suggests that the formation rate of OH radicals produced in the interface between the photocatalyst and water is well correlated with the photocatalytic activity.

Discrimination of Internally Browned Apples Utilizing Near-Infrared Non-Destructive Fruit Sorting System (근적외선 비파괴 과일 선별 시스템을 활용한 내부 갈변 사과의 판별)

  • Kim, Bal Geum;Lim, Jong Guk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.208-213
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    • 2021
  • There is a lack of studies comparing the internal quality of fruit with its external quality. However, issues of internal quality of fruit such as internal browning are important. We propose a method of classifying normal apples and internally browned apples using a near-infrared (NIR) non-destructive system. Specifically, we found the optimal wavelength and characteristics of the spectra for determining the internal browning of Fuji apples. The NIR spectra of apples were obtained in the wavelength range of 470-1150 nm. A group of normal apples and a group of internally browned apples were identified using principal component analysis (PCA), and a partial least squares regression (PLSR) analysis was performed to develop and evaluate the discriminant model. The PCA analysis revealed a clear difference between the normal and internally browned apples. From the PLSR, the correlation coefficient of the predictive model without pretreatment was determined to be 0.902 with an RMSE value of 0.157. The correlation coefficient of the predictive model with pretreatment was 0.906 with an RMSE value of 0.154. The results show that this model is suitable for classifying normal and internally browned apples and that it can be applied for the sorting and evaluation of agricultural products for internal and external defects.