A novel method was proposed for the quantification of nitrite ion in aqueous samples by the combination of an advanced quantitative fluorescence model with ratiometric fluorescence indicator 2 , 3-diaminonaphthalene . The proposed method was tentatively applied to direct quantitative determination of nitrite ion in turbid environmental water samples containing both scatterers and absorbers; and its performance was thoroughly investigated and evaluated. Experimental results showed that the proposed method could realize accurate quantitative determination of nitrite ion in environmental water samples with recovery rates in the range of 90. 8%-103. 0%, which were comparable to the corresponding values of HPLC-DAD experiments. The limit of detection and limit of quantification of the proposed method were estimated to be 1 . 9 and 5. 8 nmo/L, respectively.

Inorganic layered materials with the open structure of low dimension and good biological compatibility and stability are considered as one of the most promising materials for immobilizing biomolecules, which can not only adjust the spacing of layers according to guest molecular size to prevent leakage of guest molecule, but also reduce the effects of surrounding elements on immobilized molecules significantly. Moreover, they can promote electron transfer between enzyme and the electrode. Therefore, the inorganic layered materials have great application potential in electrochemical sensors. This paper reviews the ways of immobilizing guest molecules of inorganic layered materials and the applications and development prospects of the different types of inorganic layered materials including cationic, anionic and nonionic inorganic layered materials in electrochemical sensor.

Fluorescent technology is widely used in many fields due to its high sensitivity. However, the direct quantification of one target analyte in complex system is still difficult to be achieved when using the traditional fluorescent method without any pretreatment separation procedure. This is due to the fact that serious overlapping of fluorescence spectra often occurs, mainly originating from natural interferences in complex sample backgrounds, or the interferents with similar structures to a target analyte, particularly in the simultaneous analysis of multi-components samples. The rapid development of modern analytical instruments and three-way data collection techniques has led to a resurgence of interest in the development of chemomet-rics-based analytical strategies, which might light a new avenue to simple experimentation using“mathematical separation” as a replacement or enhancement of“physical or chemical separation” of uncalibrated background or interferents. These methods can offer a highly attractive property, called“second-order advantage”, which allows for the direct and rapid determination of a single target component or simultaneous determination of multiple target components in complex samples, even in the presence of uncalibrated interferences. The property has been a hotspot in the current chemometric domain, and was successfully employed for many applications, such as pharmaceuticals, biological, food, environmental analysis and so on.

A novel and highly sensitive voltammetric enzyme-linked immunosensor was developed based on tyramine) oxidation deposition. It was shown that gold nano-particles(colloid Au) could be used as a platform to immobilize antibodies by adsorption. By a sandwich immunossary format with goat-anti-human IgG labled Horseradish peroxidase(HRP) as the second antibody and catalytic amplification by biotin-tyramine, the immunosensor′s) catalytic ability to hydrogen peroxide increased nearly 20 times), the sensor exhibitd a linear response to human IgG in the concentration range from 1.5 μg/L-22 mg/L, and the detection limit was 0.1 μg/L), the regression equation could be expressed as Δi_p(μA) =2.8859c(mg/L)+17.152 with a correlation) coefficient of 0.9872. The immunosensor can be used to quantitatively determine hIgG in the sample) of human serum).

A novel simple,sensitive fluorescence immunosensing method based on aptamer-plasmid complex amplification was developed. This method utilized the specific recognition between antibody and antigen as well as aptamer-plasmid complex and the intercalation of fluorescence dye SYBR Green Ⅰ in the groove of duplex plasmid DNA in detection of Platelet-Derived Growth Factor BB (PDGF-BB). The immunoassay was performed in the microtiter wells in which rabbit anti PDGF-BB antibody was immobilized. The PDGF BB analyte was captured by the primary antibody and then sandwiched by the aptamer-plasmid DNA complex. The introduction of fluorescence dye SYBR Green Ⅰ allows for the detection of the sandwiched immunocomplex of antibody/anigen/aptamer-plasmid complex. Under the optimized conditions of salt concentration,ratio of aptamer to PUC19,and SYBR Green Ⅰ concentration,the proposed method offers a linear detection range from 0.2 μg/L to 200 μg/L with a detection limit of 0.1μg/L.

Based on the competition reaction of target protein, aptamer probe, padlock probe and complementary sequence, a highly sensitive fluorescent aptasensor was developed in this study in combination with rolling circle amplification. In the absence of target protein, the ligation-rolling circle amplification reaction was repressed because the complementary sequence hybridized with aptamer probe to form double-stranded duplex. While in the presence of target protein, the target molecules bound specifically with aptamer probe, inducing displacement of the complementary sequence and hybridization with padlock probe. The padlock probe was circularized with the assistance of E. coli DNA ligase, and the rolling circle amplification process could be accomplished by Phi 29 DNA polymerase. The amplification product contained thousands of repeated sequences which could hybridize with the loop of molecular beacon ( the detection probes) , resulting in a significant fluorescence signal. The effects of length of complementary DNA ( CDNA ) sequence and concentration of padlock probe were investigated. Under the optimized experimental conditions, the model target protein thrombin could be highly sensitively detected by the proposed aptasensing system in a linear range of 0 . 067-32 . 4 nmol/L with a detection limit of 0 . 03 nmol/L ( approximately 90 amol target molecules). Moreover, the presented sensing method was universal for other target analysis by skillfully design of the sequence of aptamer probe and related oligonucleotides.

Whennearinfraredspectroscopyisappliedtoon-linemonitoringandcontroloftobaccoflavors,the variation in temperature can severely deteriorate the predictive performance of near infrared spectroscopic calibration models and results in a significant increases of the root mean square error value for the main constituents in syrup samples from 2. 4% to 29. 0%. In this paper, near infrared spectroscopy has been incorporated with an advanced calibration transfer method-loading space standardization to effectively eliminate the deteriorate effects of temperature variation on quantitative results and finally realize the fast and accurate on-line quantitative monitoring and control of tobacco flavors. The root mean square error value for the main constituents in syrup samples is successfully retained at a satisfying low level of 3 . 8%. The results of this paper will provide technical support for the preparation, preservation and use of tobacco flavors, and realize on-line process quality control of cigarettes.

The effectiveness of traditional Chinese medicine (TCM) against various diseases urges more low cost,speed and sensitive analytical methods for investigating the phamacology of TCM and providing a theoretical basis for clinical use.The potential of second-order calibration method was validated for the quantification of two effective ingredients of Schisandra chinensis in human plasma using spectrofluorimetry.The results obtained in the present study demonstrate the advantages of this strategy for multi-target determination in complex matrices.Although the spectra of the analytes are similar and a large number of interferences also exist,second-order calibration method could predict the accurate concentrations together with reasonable resolution of spectral profiles for analytes of interest owing to its ‘second-order advantage'.Moreover,the method presented in this work allows one to simply experimental procedure as well as reduces the use of harmful chemical solvents.

Objective: To evaluate the correlation between alcohol consumption and obesity in adults in China. Methods: The information about alcohol consumption were collected at the baseline survey of the China Kadoorie Biobank. The general obesity and central obesity were defined by BMI and waist circumference (WC) respectively. Logistic regression model was employed to examine the relationship of drinking behavior with general obesity and central obesity. Results: A total of 249 873 adults were included. A J-shaped relationship was observed between alcohol consumption and obesity measurement index (BMI and WC) in men. Compared with non-drinkers, the proportion of general obesity and central obesity were lower in light drinkers (men: OR=0.65, 95%CI: 0.59-0.71 and OR=0.93, 95%CI: 0.88-0.98; women: OR=0.77, 95%CI: 0.65-0.91 and OR=0.89, 95%CI: 0.80-0.99). In men, the proportion of general obesity and central obesity was highest in heavy drinkers (OR=1.21, 95%CI: 1.12-1.32; OR=1.33, 95%CI: 1.27-1.40). BMI and WC were higher in those with a drinking frequency of 3-5 d/week, with largest of proportion of central obesity (men: OR=1.23, 95%CI: 1.16-1.31; women: OR=1.13, 95%CI: 0.99-1.28). The risk for central obesity in men who began drinking every week before 20 years old was 1.24 times higher than non-drinkers (95%CI: 1.16-1.33). Those who drank beer had lower proportion of general obesity (men: OR=0.74, 95%CI: 0.67-0.82; women: OR=0.54, 95%CI: 0.43-0.68). Conclusion The proportion of obesity was lower in light drinkers but higher in heavy drinkers; and the earlier drinking started, the higher the risk for obesity was.

Objective: To understand the fruit consumption of adults of Qingdao and examine the association between fruit consumption and stroke. Methods: We analyzed baseline data and stroke incidence of the participants who were aged 30-79 years and had been enrolled into the China Kadoorie Biobank (CKB) study from Qingdao city. Cox proportional hazards regression model was conducted to estimate the association of fruit consumption with risk of stroke. Results: A total of 35 509 participants were investgated in the baseline survey. Ratio of male to female was 1∶1.27, and the average age was (50.3±10.2) years. Respondents with higher frequency of fruit consumption were younger, more women, with higher education level and higher income (P<0.05). A total of 1 011 new cases of stroke were observed, with a stroke incidence of 387.63/100 000 person-years. Multivariate Cox regression analysis showed that fruit consumption had a protective effect on stroke incidence. Compared to the respondents who never consumed fruit, respondents who consumed fruit more than 4 days per week had a 44% lower risk of stroke incidence (HR=0.56, 95%CI: 0.50-0.62, P<0.05), and the risk reduced by 46% (HR=0.54, 95%CI: 0.46-0.64, P<0.05) and 42% (HR=0.58, 95%CI: 0.52-0.69, P<0.05) in male and female, respectively. Further adjustment for WC, BMI, SBP and random blood glucose did not change the association. Conclusion Increasing fruit consumption can effectively decrease the risk of stroke. People should increase fruit consumption advisably to set up reasonable and healthy dietary habits.