Objective: To establish a inductively coupled plasma mass spectrometry method for the determination of trace cobalt and tungsten in human urine. Methods: The authors used 1% nitric acid solution as diluent in October-December 2021, the sample dilution factor and internal standard element were optimized by single factor rotation experiment, and the difference between the working curve and the standard curve was compared. Results: The method uses working curve to determine cobalt and tungsten in urine, the linear range of this method was 0.0~10.0 μg/L, the correlation coefficient was 0.999 9, the detection limits respectively were 0.005 μg/L (cobalt) and 0.09 μg/L (tungsten), the recoveries of samples respectively were 87.0%~100.2% (cobalt) and 89.4%~104.8% (tungsten), the relative standard deviations respectively were 0.4%~4.4% (cobalt) and 0.6%~3.8% (tungsten) . Conclusion: A simple and rapid method for determination of cobalt and tungsten in urine has been established. This method has the advantages of simple operation, high sensitivity, low detection limit and good stability. It is suitable for determination of cobalt and tungsten in urine of all kinds of people.
Humans ; Cobalt/analysis* ; Tungsten/analysis* ; Spectrum Analysis ; Nitric Acid ; Mass Spectrometry

Corydalis hendersonii(CH) is a Tibetan folk medicine with the functions of clearing heat, detoxifying, cooling blood, checking diarrhea, and lowering blood pressure. It is often used to treat high altitude polycythemia, vasculitis, peptic ulcer, and diarrhea. Nine compounds were separated from the ethanol extract of CH by silica gel, ODS, Sephadex LH-20 chromatography and semi-preparative HPLC. Their structures were identified as hendersine H(1),hendersine I(2), dehydrocheilanthifoline(3), protopine(4), izmirine(5), 6,7-methylenedioxy-1(2H)-isoquinolinone(6), icariside D_2(7), ethyl 4-(β-D-glucopyranosyloxy)-3-methoxybenzoate(8), 3-hydroxy-4-methoxybenzoic acid(9), respectively, by the spectroscopic data analysis and comparison with those in the literature. Among them, compounds 1 and 2 are new isoquinoline alkaloids, and compounds 7-9 are reported the first time for Corydalis. The hypoglycemic model of H9c2 cardiomyocytes and the inflammatory model of H9c2 cardiomyocytes induced by conditional supernatant were employed to determine the activities of the above compounds. The results showed that 20 μmol·L~(-1) compound 1 had a protective effect on H9c2 cardiomyocytes and 10 μmol·L~(-1) compounds 4 and 5 inhibited H9c2 cardiomyocyte inflammation induced by conditional supernatant.
Humans ; Corydalis/chemistry* ; Alkaloids/chemistry* ; Inflammation ; Spectrum Analysis ; Isoquinolines/pharmacology*

Due to the high complexity and subject variability of motor imagery electroencephalogram, its decoding is limited by the inadequate accuracy of traditional recognition models. To resolve this problem, a recognition model for motor imagery electroencephalogram based on flicker noise spectrum (FNS) and weighted filter bank common spatial pattern ( wFBCSP) was proposed. First, the FNS method was used to analyze the motor imagery electroencephalogram. Using the second derivative moment as structure function, the ensued precursor time series were generated by using a sliding window strategy, so that hidden dynamic information of transition phase could be captured. Then, based on the characteristic of signal frequency band, the feature of the transition phase precursor time series and reaction phase series were extracted by wFBCSP, generating features representing relevant transition and reaction phase. To make the selected features adapt to subject variability and realize better generalization, algorithm of minimum redundancy maximum relevance was further used to select features. Finally, support vector machine as the classifier was used for the classification. In the motor imagery electroencephalogram recognition, the method proposed in this study yielded an average accuracy of 86.34%, which is higher than the comparison methods. Thus, our proposed method provides a new idea for decoding motor imagery electroencephalogram.
Brain-Computer Interfaces ; Imagination ; Signal Processing, Computer-Assisted ; Electroencephalography/methods* ; Algorithms ; Spectrum Analysis

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*

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

Urinary system tumors affect a huge number of individuals, and are frequently recurrent and progressing following surgery, necessitating lifelong surveillance. As a result, early and precise diagnosis of urinary system cancers is important for prevention and therapy. Histopathology is now the golden stan-dard for the diagnosis, but it is invasive, time-consuming, and inconvenient for initial diagnosis and re-gular follow-up assessment. Endoscopy can directly witness the tumor's structure, but intrusive detection is likely to cause harm to the patient's organs, and it is apt to create other hazards in frequently examined patients. Imaging is a valuable non-invasive and quick assessment tool; however, it can be difficult to define the type of lesions and has limited sensitivity for early tumor detection. The conventional approaches for detecting tumors have their own set of limitations. Thus, detection methods that combine non-invasive detection, label-free detection, high sensitivity and high specificity are urgently needed to aid clinical diagnosis. Optical diagnostics and imaging are increasingly being employed in healthcare settings in a variety of sectors. Raman scattering can assess changes in molecular signatures in cancer cells or tissues based on the interaction with vibrational modes of common molecular bonds. Due to the advantages of label-free, strong chemical selectivity, and high sensitivity, Raman scattering, especially coherent Raman scattering microscopy imaging with high spatial resolution, has been widely used in biomedical research. And quantity studies have shown that it has a good application in the detection and diagnosis of bladder can-cer, renal clear cell carcinoma, prostate cancer, and other cancers. In this paper, several nonlinear imaging techniques based on Raman scattering technology are briefly described, including Raman spectroscopy, coherent anti-Stokes Raman scattering, stimulated Raman scattering, and surface-enhanced Raman spectroscopy. And we will discuss the application of these techniques for detecting urologic malignancy. Future research directions are predicted using the advantages and limitations of the aforesaid methodologies in the research. For clinical practice, Raman scattering technology is intended to enable more accurate, rapid, and non-invasive in early diagnosis, intraoperative margins, and pathological grading basis for clinical practice.
Humans ; Male ; Microscopy/methods* ; Radiopharmaceuticals ; Spectrum Analysis, Raman/methods* ; Technology ; Urologic Neoplasms/diagnosis*

Chinese medicinal material is the foundation of traditional Chinese medicine(TCM) industry. Its quality is not only closely related to the health of residents but also the key to the development of the TCM industry. Pesticide residues, heavy metals and mycotoxins are the major pollutants of Chinese medicinal materials. In recent years, quite a number of rapid detection methods for pollutants have been constructed. Among them, surface-enhanced Raman scattering(SERS), which has been widely used in food chemistry, environmental analysis, and other fields because of its speediness and non-destructiveness, shows its great potential in the pollutant detection in Chinese medicinal material. This paper firstly reviews the application of SERS for the detection of common pollutants in Chinese medicinal material. We then discussed the characteristics and advantages of SERS technique for pesticide detection, including the principle, SERS substrate design, specific recognition, etc. Finally, simultaneous detection of multiple pesticide residues in Chinese medicinal material was explored.
China ; Environmental Pollutants ; Medicine, Chinese Traditional ; Pesticide Residues/analysis* ; Spectrum Analysis, Raman

OBJECTIVE: To study the association of serum levels of trace elements with core symptoms in children with autism spectrum disorder (ASD). METHODS: From September 2018 to September 2019, an investigation was performed for 1 020 children with ASD and 1 038 healthy children matched for age and sex in the outpatient service of grade A tertiary hospitals and special education institutions in 13 cities of China. Autism Behavior Checklist (ABC), Social Responsiveness Scale (SRS), and Childhood Autism Rating Scale (CARS) were used to assess the core symptoms of the children with ASD. The inductively coupled plasma mass spectrometry was used to measure serum levels of trace elements magnesium, iron, copper, and zinc. RESULTS: The children with ASD had significantly lower serum levels of magnesium, copper, and zinc than the healthy children ( CONCLUSIONS The serum levels of magnesium and zinc may be associated with core symptoms in children with ASD, which requires further studies. The nutritional status of trace elements should be monitored for children with ASD in clinical practice.
Autism Spectrum Disorder ; Child ; China ; Copper/analysis* ; Humans ; Trace Elements/analysis* ; Zinc

The effects of Chloriti Lapis on metal elements in plasma and lung tissue of acute exacerbation of chronic obstructive pulmonary disease( AECOPD) rats were studied. The rat AECOPD model with phlegm heat syndrome was established by smoking combined with Klebsiella pneumoniae infection. After the rats were treated by Chloriti Lapis,the contents of metal elements in plasma and lung tissue were determined by inductively coupled plasma-optical emission spectroscopy( ICP-OES) and inductively coupled plasma mass spectrometry( ICP-MS). The changes in the contents of metal elements were analyzed by SPSS 18. 0. Further,the correlations of differential metal elements( including Cu/Zn ratio) with differential metabolites in plasma,lung tissue and urine of AECOPD rats treated with Chloriti Lapis were analyzed. The results showed that Chloriti Lapis significantly up-regulated the contents of Fe,Al,Mn,Cu,Zn,Sn( P<0. 05),V,Co( P< 0. 01) and Cu/Zn ratio( P< 0. 05),and significantly down-regulated the contents of Ti( P< 0. 05)and Pb( P<0. 05) in the model rat plasma. It significantly increased the content of Be( P<0. 05) and decreased the contents of Mg,Ti and Al( P<0. 01) in model rat lung tissue. The element profiles of normal group,model group and Chloriti Lapis group can be well separated. Chloriti Lapis group and other groups were clustered into two categories. The taurine in plasma and phytosphingosine in lung tissue had the strongest correlations with differential metal elements. The Fe,Al,Mg,Be,Ti,V,Mn,Cu,Zn,Sn,and Co in Chloriti Lapis may directly or indirectly participate in the intervention of AECOPD rats. This group of metal elements may be the material basis of Chloriti Lapis acting on AECOPD rats,and reduce the Cu/Zn value in vivo. It was further confirmed that Chloriti Lapis could interfere with the metabolic pathways of taurine and hypotaurine in plasma and urine as well as the sphingolipid metabolism pathway in lung tissue of AECOPD rats. In addition,this study confirmed that long-term smoking can cause high-concentration Cd accumulation in the lung and damage the lung tissue.
Animals ; Lung ; Medicine, Chinese Traditional ; Minerals ; Pulmonary Disease, Chronic Obstructive ; Rats ; Spectrum Analysis ; Trace Elements/analysis*

Compounds(1-6) were isolated and identified from 90% ethanol extract of the stems and leaves of Cassia occidentalis through column chromatography with silica gel, ODS, and Sephadex LH-20. These compounds were identified as 7-hydroxy-5-(3-hydroxy-2-oxopropyl)-2-methyl-4H-chromen-4-one(1), saccharonol A(2), S-6-hydroxymullein(3), 2-methyl-5-acetonyl-7-hydroxy-chromone(4), 2-(2'-hydroxypropyl)-5-methyl-7-hydroxychromone(5) and 7,4'-dihydroxyflavone(6) based on their physicochemical and spectroscopic data. Among them, compound 1 was a new compound, and all the compounds were isolated from this plant for the first time. DPPH method was employed to determine the antioxidant activities of these compounds in vitro. Six compounds exhibited weak antioxidant activities.
Chromones ; Plant Leaves ; Senna Plant ; Spectrum Analysis