Humans ; Indium ; urine ; Mass Spectrometry ; methods ; Spectrum Analysis ; methods

The dielectric spectroscopy of human blood cells was measured within the frequency range of 0.01-100 MHz, and the dielectric numerical characters were determined as response to AC electric field. we measured the AC impedance of normal human blood cells with the impedance technique in the frequency domain, then the experimental data were drawn a relationship curve between the frequency of electric field and conductivity. The dielectric spectrum and the Cole-Cole plots of human blood cells were established. The characteristics of dielectric response of human blood cells were also established. The permittivity and the conductivity of human blood cells were frequency dependent, and dielectric dispersion of human blood cells had two characteristic frequencies: i.e. fc1, is 1.42 MHz, and fc2 is 3. 32 MHz.
Blood Cells ; physiology ; Electric Conductivity ; Electrochemistry ; Humans ; Spectrum Analysis ; methods

OBJECTIVEThe spectral imaging method was used to quickly identify the Cortex Dictamni pieces and its counterfeit alangium Chinese, which is a potential method would be applied to control the quality of the Cortex Dictamni pieces.

METHODStandard sample, 5 cortex dictamni samples and its counterfeit alangium Chinese of different sources were tested by the liquid crystal imaging instrument. The spectrum resolution was 5 nm, the spectral range was from 405 nm to 680 nm, and the spatial resolution was 50 lp x mm(-1). The characteristic spectrum curves were picked up from spectral cube and principal analysis method was used to analyze the results.

RESULTThe identification results by the spectral imaging method accorded well with the results by the traditional biology and chemistry analysis method.

CONCLUSIONThe spectral imaging analysis method can be used to identify the cortex dictamni pieces and its counterfeit alangium Chinense. The testing course is convenient, quick and noninvasive.

Hyperspectral imaging technology can obtain the spatial and spectral three-dimensional imaging of substances simultaneously, and obtain the unique continuous characteristic spectrum of substances in a wide spectrum range at a certain spatial resolution, which has outstanding advantages in the fine classification and identification of biological substances. With the development of hyperspectral imaging technology, a large amount of data has been accumulated in the exploration of data acquisition, image processing and material inspection. As a new technology means, hyperspectral imaging technology has its unique advantages and wide application prospects. It can be combined with the common biological physical evidence of blood (stains), saliva, semen, sweat, hair, nails, bones, etc., to achieve rapid separation, inspection and identification of substances. This paper introduces the basic theory of hyperspectral imaging technology and its application in common biological evidence examination research and analyzes the feasibility and development of biological evidence testing and identification, in order to provide a theoretical basis for the development of new technology and promote hyperspectral imaging technology in related biological examination, to better serve the forensic practice.
Spectrum Analysis/methods* ; Hyperspectral Imaging ; Forensic Medicine ; Blood Stains ; Technology

In order to evaluate the composition and distribution characteristics of inorganic elements in Laminaria japonica, this study employed inductively coupled plasma mass spectrometry(ICP-MS) to detect the inorganic elements and used high performance liquid chromatography tandem ICP-MS(HPLC-ICP-MS) to determine the content of different arsenic species in L. japonica from diffe-rent origins. Micro X-ray fluorescence(Micro-XRF) was used to determine micro-area distribution of inorganic elements in L. japonica. The results showed that the average content of Mn, Fe, Sr, and Al was high, and that of As and Cr exceeded the limits of the national food safety standard. According to the results of HPLC-ICP-MS, arsenobetaine(AsB) was the main species of As contained in L. japonica. The more toxic inorganic arsenic accounts for a small proportion, whereas its content was 1-4 times of the limit in the national food safety standard. The results of Micro-XRF showed that As, Pb, Fe, Cu, Mn, and Ni were mainly distributed on the surface of L. japonica. Among them, As and Pb had a clear tendency to diffuse from the surface to the inside. The results of the study can provide a basis for the processing as well as the medicinal and edible safety evaluation of L. japonica.
Arsenic/analysis* ; Chromatography, High Pressure Liquid/methods* ; Laminaria ; Mass Spectrometry/methods* ; Spectrum Analysis ; Trace Elements/analysis*

Air Pollutants, Occupational ; chemistry ; Indium ; analysis ; Mass Spectrometry ; methods ; Occupational Exposure ; Spectrum Analysis ; methods ; Workplace

Drug Contamination ; Drugs, Chinese Herbal ; analysis ; Fourier Analysis ; Plants, Medicinal ; chemistry ; Spectrum Analysis, Raman ; instrumentation ; methods

The laser-induced breakdown spectroscopy (LIBS) was applied to perform a qualitative elementary analysis on four precious Tibetan medicines, i. e. Renqing Mangjue, Renqing Changjue, 25-herb coral pills and 25-herb pearl pills. The specific spectra of the four Tibetan medicines were established. In the experiment, Nd: YAG and 1 064 nm-baseband pulse laser were adopted to collect the spectra. A laser beam focused on the surface of the samples to generate plasma. Its spectral signal was detected by using spectrograph. Based on the National Institute of Standard and Technology (NIST) database, LIBS spectral lines were indentified. The four Tibetan medicines mainly included Ca, Na, K, Mg and other elements and C-N molecular band. Specifically, Fe was detected in Renqing Changjue and 25-herb pearl pills; heavy mental elements Hg and Cu were shown in Renqing Mangjue and Renqing Changjue; Ag was found in Renqing Changjue. The results demonstrated that LIBS is a reliable and rapid multi-element analysis on the four Tibetan medicines. With Real-time, rapid and nondestructive advantages, LIBS has a wide application prospect in the element analysis on ethnic medicines.
Calcium ; analysis ; Copper ; analysis ; Iron ; analysis ; Lasers ; Medicine, Tibetan Traditional ; Mercury ; analysis ; Silver ; analysis ; Spectrum Analysis ; methods

Based on Ag nanoparticles as the surface-enhanced Raman spectroscopy (SERS)-active nanostructure, the SERS of uric acid was presented in the paper. The absorption spectroscopies of uric acid and the mixture of silver colloids and uric acid were measured. The possible enhancing mechanism of the uric acid on silver colloid was speculated. The characteristic SERS bands of uric acid were tentatively assigned. The influence of absorption time and different ion on the SERS of uric acid were also discussed. The SERS spectral intensity changes linearly with the uric acid concentration, which indicated that the SERS might provide a new kind of direct and fast detecting method for the detection of uric acid. The detection limit of uric acid in silver sol is found to be 1 mg/L.
Metal Nanoparticles ; chemistry ; Silver ; chemistry ; Spectrum Analysis, Raman ; methods ; Surface Properties ; Uric Acid ; analysis

The dielectric spectroscopy of human platelets was measured within the frequency range of 100 KHz-100 MHz, and the dielectric numerical characters of human platelets in response to AC electric field were analyzed. We measured the AC impedance of normal human platelets with the impedance technique in the frequency domain for the first time. The experimental data were used to draw a relationship curve between the frequency of electric field and permittivity or conductivity, and then the dielectric spectrum and the Cole-Cole plots of human platelets were established and then, the characteristics of dielectric response of human platelets were decided, which demonstrated the dependence of permittivity and conductivity of human platelets upon frequency, and showed two characteristic frequencies of the dielectric spectroscopy of human platelets: the first characteristic frequency f(C1) = 6.66 MHz; the second characteristic frequency f(C2) = 9.81 MHz.
Blood Platelets ; cytology ; physiology ; Electric Conductivity ; Electric Impedance ; Electrochemistry ; methods ; Electrophysiology ; Humans ; Spectrum Analysis ; methods