Alternative methods to quantify biodiesel in standard diesel-biodiesel blends and samples adulterated with vegetable oil through UV–Visible spectroscopy

Shimamoto, Gustavo G.; Tubino, Matthieu

doi:10.1016/j.fuel.2016.08.076

Cited by 50 publications

(15 citation statements)

References 13 publications

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“…The timely monitoring and accurate measurement of these small molecules can either guide the treatment or predict the prognosis of a disease. Traditional methods for detecting small biomolecules often require complex instruments such as gas chromatography, high performance liquid chromatography, mass spectrometry, UV–vis spectrophotometry, and capillary electrophoresis . Microfluidic chips can integrate several experimental operations including sample transportation, pre‐processing, distribution, analysis, and detection into several square centimeters on a chip, allowing researchers to complete the whole testing in one‐key automatic manner.…”

Section: Microfluidics‐based Bioanalysismentioning

confidence: 99%

Microfluidics for Biomedical Analysis

et al. 2019

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Many new techniques and materials have been applied to microfluidic systems in the past decade, and integrated microfluidic chips have become powerful platforms for realizing highly sensitive, high throughput, and low‐cost analysis. This article reviews the latest advancements of microfluidic platforms for biological and biomedical analysis in the fields of fundamental biology research, clinical application, food safety, and environmental monitoring, with a focus on nucleic acid‐based molecular diagnosis and protein‐based immunodiagnosis. The combination of microfluidics with advanced techniques (e.g., nanotechnology, 3D printing, deep learning) would offer innovative new tools for bioanalyses. The current challenges and the future developments of microfluidic technologies for clinical applications are also discussed. It is anticipated that this review will be beneficial to promoting microfluidics toward a broad range of applications in the future.

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Section: Microfluidics‐based Bioanalysismentioning

confidence: 99%

Microfluidics for Biomedical Analysis

et al. 2019

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“…Simultaneously, by comparison, PLS‐DA has also been investigated. In addition, this study will provide a reference for the chromatographic method coupled with pattern recognition technology and be widely used in the discriminant analysis of agricultural, medical, and other products .…”

Section: Introductionmentioning

confidence: 99%

Accurate discrimination of Gastrodia elata from different geographical origins using high‐performance liquid chromatography fingerprint combined with boosting partial least‐squares discriminant analysis

Sun

Zhu

et al. 2019

J of Separation Science

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Gastrodia elata from different geographical origins varies in quality and pharmacological activity. This study focused on the classification and identification of Gastrodia elata from six producing areas using high‐performance liquid chromatography fingerprint combined with boosting partial least‐squares discriminant analysis. Before recognition analysis, a principal component analysis was applied to ascertain the discrimination possibility with high‐performance liquid chromatography fingerprints. And then, boosting partial least‐squares discriminant analysis and conventional partial least‐squares discriminant analysis were applied in this study. Experimental results indicated that the adaptive iteratively reweighted penalized least‐squares algorithm could eliminate the baseline drift of high‐performance liquid chromatography chromatograms effectively. And compared with partial least‐squares discriminant analysis, the total recognition rates using high‐performance liquid chromatography fingerprint combined with boosting partial least‐squares discriminant analysis for the calibration sets and prediction sets were improved from 94 to 100% and 86 to 97%, respectively. In conclusion, high‐performance liquid chromatography combined with boosting partial least‐squares discriminant analysis, which has such advantages as effective, specific, accurate, non‐polluting, has an edge for discrimination of traditional Chinese medicine from different geographical origins. And the proposed methodology is a useful tool to classify and identify Gastrodia elata from different geographical origins.

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“…It is common knowledge that UV spectra can display the features of unsaturated bonds information, such as for n-s*, n-p*, and p-p*, qualitatively and quantitatively; 16 therefore, UV spectroscopic ngerprinting in combination with chemometric methods can be used for monitoring the TCM/HM quality in a straightforward, rapid, and effective manner. 17,18 In the past few years, UHPLC-ESI-Q-TOF-MS/MS, as a high resolution, excellent sensitivity, accurate mass measurement and high throughput technology, has been applied to integrate multi-constituent determination and ngerprint analysis for TCM/HM QC, 19 and could be of great importance for facilitating further investigation of the compatibility mechanisms.…”

Section: Introductionmentioning

confidence: 99%