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JournalISSN: 0910-6340

Analytical Sciences 

About: Analytical Sciences is an academic journal. The journal publishes majorly in the area(s): Detection limit & Mass spectrometry. It has an ISSN identifier of 0910-6340. It is also open access. Over the lifetime, 8329 publication(s) have been published receiving 94995 citation(s).


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TL;DR: This work focused on the redox properties of some commercially available fluorescent dyes, and investigated dye-nucleotide interactions between a free dye and a nucleotide in aqueous solution by electrochemical and spectroscopic techniques to estimate the fluorescence quenching intensity.
Abstract: Fluorescently labeled oligonucleotide probes have been widely used in biotechnology, and fluorescence quenching by the interaction between the dyes and a nucleobase has been pointed out. This quenching causes big problem in analytical methods, but is useful in some other cases. Therefore, it is necessary to estimate the fluorescence quenching intensity under various conditions. We focused on the redox properties of some commercially available fluorescent dyes, and investigated dye-nucleotide interactions between a free dye and a nucleotide in aqueous solution by electrochemical and spectroscopic techniques. Our results suggested that the quenching was accompanied by photoinduced electron transfer between a thermodynamically quenchable excited dye and a specific base. Several kinds of fluorescent dyes labeled to the 5'-end of oligonucleotide C10T6 were prepared, and their quenching ratios compared upon hybridization with the complementary oligonucleotide A6G10. The quenching was completely reversible and their efficiencies depended on the attached fluorophore types. The fluorescence of 5-FAM, BODIPY FL or TAMRA-modified probe was strongly quenched by hybridization.

337 citations

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TL;DR: This review addresses recent developments in electrochemistry and electroanalytical chemistry of carbon nanotubes (CNTs), which have been proved to possess unique electronic, chemical and structural features that make them very attractive for electrochemical studies and electrochemical applications.
Abstract: This review addresses recent developments in electrochemistry and electroanalytical chemistry of carbon nanotubes (CNTs). CNTs have been proved to possess unique electronic, chemical and structural features that make them very attractive for electrochemical studies and electrochemical applications. For example, the structural and electronic properties of the CNTs endow them with distinct electrocatalytic activities and capabilities for facilitating direct electrochemistry of proteins and enzymes from other kinds of carbon materials. These striking electrochemical properties of the CNTs pave the way to CNT-based bioelectrochemistry and to bioelectronic nanodevices, such as electrochemical sensors and biosensors. The electrochemistry and bioelectrochemistry of the CNTs are summarized and discussed, along with some common methods for CNT electrode preparation and some recent advances in the rational functionalization of the CNTs for electroanalytical applications.

262 citations

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TL;DR: A quantitative structure-activity relationship was obtained to describe the AA of flavonoids, and IC50 represents the concentration for 50% inhibition of LPO, and P represents the octanol/water partition coefficient.
Abstract: A simple electrochemical method for estimating the antioxidant activity (AA) of flavonoids has been developed The proposed method is based on a measurement of the half-wave potential (E 1/2 ) of the first oxidation wave of flavonoids by using flow-through column electrolysis At the same time, the lipid peroxidation (LPO) inhibiting effects of these flavonoids were determined A quantitative structure-activity relationship was obtained to describe the AA of flavonoids: IC 50 (μM) = 3036 + 15150E 1/2 (V) - 1263log P (r = 0852), where IC 50 represents the concentration for 50% inhibition of LPO, and P represents the octanol/water partition coefficient This method is expected to be useful for the quick screening of flavonoid antioxidants, and evaluating the AA of flavonoid-containing foods and medicinal plants

252 citations

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TL;DR: Octyl(phenyl)-N,N-diisobutylcarbamoylmethyl phosphine oxide dissolved in an ionic liquids, 1-butyl-3-methyl-imidazolium hexafluorophosphate, greatly enhances extractability and selectivity of lanthanide cations compared to that dissolved in conventional organic solvents.
Abstract: Octyl(phenyl)-N,N-diisobutylcarbamoylmethyl phosphine oxide (CMPO) dissolved in an ionic liquids, 1-butyl-3-methylimidazolium hexafluorophosphate, greatly enhances extractability and selectivity of lanthanide cations compared to that dissolved in conventional organic solvents; further, the recovery of lanthanides extracted into ionic liquids can be accomplished using several stripping solutions containing complexing agents The possibility of utilizing ionic liquids as novel separation media in an industrial liquid-liquid extraction process was demonstrated

221 citations

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TL;DR: A chemometric analysis of the near-infrared spectra of olive-oil mixtures containing different adulterants revealed that the PCA developed models were able to classify unknown adulterated olive oil mixtures with almost 100% certainty.
Abstract: A new procedure has been developed for the classification and quantification of the adulteration of pure olive oil by soya oil, sun flower oil, corn oil, walnut oil and hazelnut oil. The study was based on a chemometric analysis of the near-infrared (NIR) spectra of olive-oil mixtures containing different adulterants. The adulteration of olive oil was carefully carried out gravimetrically in a 4 mm quartz cuvette, starting with pure olive oil in the cuvette first. NIR spectra of the 525 adulterated mixtures were measured in the region of 12,000-4000 cm(-1). The spectra were subjected batch wise to multiplicative signal correction (MSC) before calculating the principal component (PCA) models. The MSC-corrected data were subjected to Savitzky-Golay smoothing and a mean normalization procedure before developing partial least-squares calibration (PLS) models. The results revealed that the models predicted the adulterants, corn oil, sun flower oil, soya oil, walnut oil and hazelnut oil involved in olive oil with error limits +/-0.57, +/-1.32, +/-0.96, +/-0.56 and +/-0.57% weight/weight, respectively. Furthermore, the PCA developed models were able to classify unknown adulterated olive oil mixtures with almost 100% certainty. Quantification of the adulterants was carried out using their respective PLS models within the same error limits as mentioned above.

216 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202189
2020168
2019179
2018207
2017232
2016220