• Title/Summary/Keyword: Chemical Analysis

Search Result 12,575, Processing Time 0.039 seconds

Determination of Boron in Steels by Precipitation Method and ICP-AES (침전법과 ICP-AES법에 의한 철강 시료 중 Boron의 분석)

  • Lim, Heon-Sung;Lee, Sueg-Geun
    • Analytical Science and Technology
    • /
    • v.15 no.2
    • /
    • pp.180-183
    • /
    • 2002
  • The new useful method for the direct determination of trace boron in iron matrix was studied by applying the precipitation of $Fe(OH)_3$ and ICP-AES. Optimum pH range was 11 ~ 12.5. Linear concentration range of boron was $0.01{\sim}1.0{\mu}g/m{\ell}$ in $5000 {\mu}g/m{\ell}$ solution as iron.

A Study on Hazard Identification Method for Small and Medium Chemical Industries (중·소 화학공장에 적합한 위험성 평가 기법 개발에 관한 연구)

  • Lee, Jae Min;Yoo, Jin Hwan;Ko, Jae Wook
    • Korean Chemical Engineering Research
    • /
    • v.45 no.1
    • /
    • pp.103-108
    • /
    • 2007
  • HAZOP analysis is a systematic method on the basis of the experts' experience and knowledge and is used for hazard identification and risk assessment by using brainstorming method. So, HAZOP analysis has been applied to major chemical industries efficiently. But it does not apply to small and midium chemical industries because of the insufficiency of the experts. Hence, in this study a new hazard identification method is proposed by modifying complexity and expertise of the HAZOP analysis and will be contributed to improve risk management for small and midium chemical industries.

MALDI-MS-Based Quantitative Analysis of Bioactive Forms of Vitamin D in Biological Samples

  • Ahn, Da-Hee;Kim, Hee-jin;Kim, Seong-Min;Jo, Sung-Hyun;Jeong, Jae-Hyun;Kim, Yun-Gon
    • Korean Chemical Engineering Research
    • /
    • v.58 no.1
    • /
    • pp.106-112
    • /
    • 2020
  • Analyzing vitamin D levels is important for monitoring health conditions because vitamin D deficiency is associated with various diseases such as rickets, osteomalacia, cardiovascular disorders and some cancers. However, vitamin D concentration in the blood is very low with optimal level of 75 nmol/L, making quantitative analysis difficult. The objective of this study was to develop a highly sensitive analysis method for vitamin D using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-MS). 25-hydroxyvitamin D (25(OH)D), which has been used as an indicator of vitamin D metabolites in human biofluids was chemically derivatized using a secosteroid signal enhancing tag (SecoSET) with powerful dienophile and permanent positive charge. The SecoSET-derivatized 25(OH)D provided good linearity (R2 > 0.99) and sensitivity (limit of quantitation: 11.3 fmol). Chemical derivatization of deuterated 25-hydroxyvitamin D3 (d6-25(OH)D3) with SecoSET enabled absolute quantitative analysis using MALDI-MS. The highly sensitive method could be successfully applied into monitoring of quantitative changes of bioactive vitamin D metabolites after treatment with ketoconazole to inhibit 1α-hydroxylase reaction related to vitamin D metabolism in human breast cancer cells. Taken together, we developed a MALDI-MS-based platform that could quantitatively analyze vitamin D metabolites from cell products, blood and other biofluids. This platform may be applied to monitor various diseases associated with vitamin D deficiency such as rickets, osteomalacia and breast cancer.

Encapsulation of 2,4-Dihydroxybenzophenone into Dodecylbenzenesulfonate Modified Layered Double Hydroxide for UV Absorption Properties

  • Li, Shifeng;Shen, Yanming;Liu, Dongbin;Fan, Lihui;Wu, Keke
    • Bulletin of the Korean Chemical Society
    • /
    • v.35 no.2
    • /
    • pp.392-396
    • /
    • 2014
  • New organic-inorganic composite of 2,4-dihydroxybenzophenone (BP-1) encapsulation into dodecylbenzenesulfonate (DBS) modified layered double hydroxide (LDH) was successfully prepared. The surface, structural, thermal and absorption properties of the BP-1/DBS-LDH nanohybrid was characterized by BET analysis, scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), thermogravimetric analysis (TG) and diffuse reflectance UV-Vis absorbance spectra (DRUV-vis). The interlayer configuration of composite and the adsorption mechanism of BP-1 on MgAl-DBS-LDH were discussed. It was suspected that DBS anions located in the form of monolayer arrangement with a $75^{\circ}$ anti parallel angle between dodecylbenzenesulfonate chain axis. The diffuse reflectance UV-Vis absorbance results revealed that the UV absorbing wavelength of BP-1/DBS-LDH evidently extends to about 400 nm, which shows that the BP-1/DBS-LDH has the potential application as a UV absorber.

Optimization of compression ratio in closed-loop CO2 liquefaction process

  • Park, Taekyoon;Kwak, Hyungyeol;Kim, Yeonsoo;Lee, Jong Min
    • Korean Journal of Chemical Engineering
    • /
    • v.35 no.11
    • /
    • pp.2150-2156
    • /
    • 2018
  • We suggest a systematic method for obtaining the optimal compression ratio in the multi-stage closed-loop compression process of carbon dioxide. Instead of adopting the compression ratio of 3 to 4 by convention, we propose a novel approach based on mathematical analysis and simulation. The mathematical analysis prescribes that the geometric mean is a better initial value than the existing empirical value in identifying the optimal compression ratio. In addition, the optimization problem considers the initial installation cost as well as the energy required for the operation. We find that it is best to use the fifth stage in the general closed-loop type carbon dioxide multi-stage compression process.

A study on the techniques of large scale chemical process system analysis (화학공정에 있어서의 대규모공정 해석방법)

  • 조인호;문장호;윤인섭
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 1986.10a
    • /
    • pp.560-565
    • /
    • 1986
  • For the control of chemical process, optimal value of the process should be known at first. And process simulation is the previous step of optimal value calculation. However it is not a simple work to analyze chemical process system. Especially for the large scale chemical process system, many difficulties such as non-linearity and complexity caused by recycle streams should be overcome. In this paper, three strategies of large scale chemical process analysis were explained and discussed with case studies.

  • PDF

Chemical Poisoning of Ni/MgO Catalyst by Alkali Carbonate Vapor in the Steam Reforming Reaction of DIR-MCFC

  • 문형대;임태훈;이호인
    • Bulletin of the Korean Chemical Society
    • /
    • v.20 no.12
    • /
    • pp.1413-1417
    • /
    • 1999
  • Chemical poisoning of Ni/MgO catalyst was induced by hot alkali carbonate vapor in molten carbonate fuel cell (MCFC), and the poisoned (or contaminated) catalyst was characterized by TPR/TPO, FTIR, and XRD analysis. Carbonate electrolytes such as K and Li were transferred to the catalyst during DIR-MCFC operation at 650 ℃. The deposition of alkali species on the catalyst consequently led to physical blocking on catalytic active sites and structural deformation by chemical poisoning. TPR/TPO analysis indicated that K species enhanced the reducibility of NiO thin film over Ni as co-catalyst, and Li species lessened the reducibility of metallic Ni by chemical reaction with MgO. FTIR analysis of the poisoned catalyst did not exhibit the characteristic ${\vector}_1$$(D_{3h})$ peaks (1055 $cm^{-1},\;1085\;cm{-1})$ for pure crystalline carbonates, instead a new peak (1120 $cm^{-1})$ was observed proportionally with deformed alkali carbonates. From XRD analysis, the oxidation of metallic Ni into $Ni_xMg_{1-x}O$ was confirmed by the peak shift of MgO with shrinking of Ni particles. Conclusively, hot alkali species induced both chemical poisoning and physical deposition on Ni/MgO catalyst in DIR-MCFC at 650 ℃.

A Study on Accident Prediction Models for Chemical Accidents Using the Logistic Regression Analysis Model (로지스틱회귀분석 모델을 활용한 화학사고 사상사고 예측모형 개발 연구)

  • Lee, Tae-Hyung;Park, Choon-Hwa;Park, Hyo-Hyeon;Kwak, Dae-Hoon
    • Fire Science and Engineering
    • /
    • v.33 no.6
    • /
    • pp.72-79
    • /
    • 2019
  • Through this study, we developed a model for predicting chemical accidents lead to casualties. The model was derived from the logistic regression analysis model and applied to the variables affecting the accident. The accident data used in the model was analyzed by studying the statistics of past chemical accidents, and applying independent variables that were statistically significant through data analysis, such as the type of accident, cause, place of occurrence, status of casualties, and type of chemical accident that caused the casualties. A significance of p < 0.05 was applied. The model developed in this study is meaningful for the prevention of casualties caused by chemical accidents and the establishment of safety systems in the workplace. The analysis using the model found that the most influential factor in the occurrence of casualty in accidents was chemical explosions. Therefore, there is an urgent need to prepare countermeasures to prevent chemical accidents, specifically explosions, from occurring in the workplace.