An enrichment device of silica-based monolithic material and its application to determine micro-carbaryl by NIRS

Du, Yi; Wei, Xue Mei; Xie, Hong Ping; Huang, Zi Xia; Fang, Juan

doi:10.1016/j.cclet.2008.11.017

Cited by 13 publications

(1 citation statement)

References 5 publications

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“…Employing a silicone sensing phase, Pimentel and co-workers proposed a method for the quantitative analysis of micro-aromatic hydrocarbons in water by NIR spectroscopy. 8,9 Du and co-workers developed an enrichment device of silica-based monolithic material and applied it to determine low concentrations of carbaryl 10 and lead ions using near infrared diffuse reflectance spectroscopy (NIR-DRS). 11 In our previous works, adsorption preconcentration was combined with NIR-DRS for simultaneous determination of low-content substances, such as metal ions, 12,13 organic acids, 14 phenols 15 etc.…”

Section: Introductionmentioning

confidence: 99%

Determination of Bilirubin Using near Infrared Diffuse Reflectance Spectroscopy with Selective Concentration on β-Cyclodextrin

Wang

Cai

Shao

2016

Journal of Near Infrared Spectroscopy

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Near infrared diffuse reflectance spectroscopy (NIR-DRS) is a convenient and fast quantitative method for direct analysis of complex samples. The low sensitivity of NIR-DRS, however, is a problem for micro-analysis. A method for improving the sensitivity of NIR-DRS is proposed using selective adsorption. The method makes use of an adsorbent containing b-cyclodextrin to achieve the specific adsorption of bilirubin (BR). Preconcentration of BR from an aqueous solution with complex matrix was achieved through hydrophobic interaction and hydrogen bonding. Then NIR-DRS of the adsorbate was conducted and a partial least squares model was built for quantitative prediction. Both the preconcentration and the specific adsorption improve the analysis. The former enhances the spectral response by enrichment, and the latter makes the NIR response less affected by interferences such as metal ions, glucose etc. The results for the validation samples were a coefficient of determination (r 2 ) between the predicted and reference concentration of 0.98 with recoveries in the range 94.5-107.5% in a concentration range of 3.30-8.60 µg mL −1 . The concentration that can be quantitatively detected was as low as 2.60 µg mL −1 . Considering that the normal concentration range of BR in serum is 3.5-10.0 µg mL −1 , the method may provide a feasible tool for determination of BR in serum or other solution samples.

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Section: Introductionmentioning

confidence: 99%

Determination of Bilirubin Using near Infrared Diffuse Reflectance Spectroscopy with Selective Concentration on β-Cyclodextrin

Wang

Cai

Shao

2016

Journal of Near Infrared Spectroscopy

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Fast determination of trace dimethyl fumarate in milk with near infrared spectroscopy following fluidized bed enrichment

Xie

Wang

et al. 2012

Anal Bioanal Chem

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Near infrared spectroscopy (NIRS) has been proved to be a powerful analytical tool in different fields. However, because of the low sensitivity in near infrared region, it is a significant challenge to detect trace analytes with normal NIRS technique. A novel enrichment technique called fluidized bed enrichment has been developed recently to improve sensitivity of NIRS which allows a large volume solution to pass through within a short time. In this paper, fluidized bed enrichment method was applied in the determination of trace dimethyl fumarate in milk. Macroporous styrene resin HZ-816 was used as adsorbent material, and 1 L solution of dimethyl fumarate was run to pass through the material for concentration. The milk sample was pretreated to remove interference matters such as protein, fat, and then passed through the material for enrichment; after that, diffuse reflection NIR spectra were measured for the analyte concentrated on the material directly without any elution process. The enrichment and spectral measurement procedures were easy to operate. NIR spectra in 900-1,700 nm were collected for dimethyl fumarate solutions in the concentration range of 0.506-5.060 μg/mL and then used for multivariate calibration with partial least squares (PLS) regression. Spectral pretreatment methods such as multiplicative scatter correction, first derivative, second derivative, and their combinations were carried out to select the optimal PLS model. Root mean square error of cross-validation calculated by leave-one-out cross-validation is 0.430 μg/mL with ten PLS factors. Ten samples in an independent test set were predicted by the model with the mean relative error of 5.33%. From the results shown in this work, it can be concluded that the NIR technique coupled with on-line enrichment method can be expanded for the determination of trace analytes, and its applications in real liquid samples like milk and juice may also be feasible.

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Direct determination of dichlorvos in water by partial least square-discriminant analysis

Wang

Xiang

et al. 2012

Environ Chem Lett

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An enrichment device of silica-based monolithic material and its application to determine micro-carbaryl by NIRS

Cited by 13 publications

References 5 publications

Determination of Bilirubin Using near Infrared Diffuse Reflectance Spectroscopy with Selective Concentration on β-Cyclodextrin

Determination of Bilirubin Using near Infrared Diffuse Reflectance Spectroscopy with Selective Concentration on β-Cyclodextrin

Fast determination of trace dimethyl fumarate in milk with near infrared spectroscopy following fluidized bed enrichment

Direct determination of dichlorvos in water by partial least square-discriminant analysis

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