Quantitative analysis of phenanthrene in soil by fluorescence spectroscopy coupled with the CARS-PLS model

Li, Haonan; Li, Maogang; Tang, Hongsheng; Li, Hua; Zhang, Tianlong; Yang, Xiao-Feng

doi:10.1039/d2ra08279a

Cited by 3 publications

(1 citation statement)

References 44 publications

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“…Wavelength selection methods are crucial for feature extraction. Uninformed variable elimination (UVE) [17], competitive adaptive reweighted sampling (CARS) [18], and the non-information variable elimination algorithm are widely accepted methods for wavelength selection, and each possesses unique strengths in various aspects. The saponins, considered important components of multiple traditional Chinese medicines, possess numerous medicinal properties such as immune activity, hemolytic activity, antimicrobial effects, antiviral effects, and anti-cancer properties [19].…”

Section: Introductionmentioning

confidence: 99%

Rapid Measurement of Total Saponins, Mannitol, and Naringenin in Dendrobium officinale by Near-Infrared Spectroscopy and Chemometrics

She,

Huang,

Cao

et al. 2024

Foods

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Dendrobium officinale has drawn increasing attention as a dual-use plant with herbal medicine and food applications. The efficient quality evaluation of D. officinale is essential to ensuring its nutritional and pharmaceutical value. Given that traditional analytical methods are generally time-consuming, expensive, and laborious, this study developed a rapid and efficient approach to assess the quality of D. officinale from different geographical origins by near-infrared (NIR) spectroscopy and chemometrics. Total saponins, mannitol, and naringenin were utilized as quality indicators. Two wavelength selection methods, namely, uninformative variable elimination and competitive adaptive reweighted sampling (CARS), were utilized to enhance the prediction accuracy of the quantification model. Moreover, multiple spectral pretreatment methods were applied for model optimization. Results indicated that the partial least squares (PLS) model constructed based on the wavelengths selected by CARS exhibited superior performance in predicting the contents of the quality indicators. The coefficient of determination (RP2) and root mean square error (RMSEP) in the independent test sets were 0.8949 and 0.1250 g kg−1 for total saponins, 0.9664 and 0.2192 g kg−1 for mannitol, and 0.8570 and 0.003159 g kg−1 for naringenin, respectively. This study revealed that NIR spectroscopy and the CARS-PLS model could be used as a rapid and accurate technique to evaluate the quality of D. officinale.

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Section: Introductionmentioning

confidence: 99%

Rapid Measurement of Total Saponins, Mannitol, and Naringenin in Dendrobium officinale by Near-Infrared Spectroscopy and Chemometrics

She,

Huang,

Cao

et al. 2024

Foods

View full text Add to dashboard Cite

show abstract

Model for prediction of pesticide residues in soybean oil using partial least squares regression with molecular descriptors selected by a competitive adaptive reweighted sampling algorithm

Shi,

Wang,

Xie

et al. 2024

Agriculture Communications

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Evolving trends in fluorescence spectroscopy techniques for food quality and safety: A review

Gu,

Hu,

Dong

et al. 2024

Journal of Food Composition and Analysis

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Quantitative analysis of phenanthrene in soil by fluorescence spectroscopy coupled with the CARS-PLS model

Abstract: Fluorescence spectroscopy coupled with CARS-PLS model is successfully used for the rapid quantitative analysis of phenanthrene in soil.

Cited by 3 publications

References 44 publications

Rapid Measurement of Total Saponins, Mannitol, and Naringenin in Dendrobium officinale by Near-Infrared Spectroscopy and Chemometrics

Rapid Measurement of Total Saponins, Mannitol, and Naringenin in Dendrobium officinale by Near-Infrared Spectroscopy and Chemometrics

Model for prediction of pesticide residues in soybean oil using partial least squares regression with molecular descriptors selected by a competitive adaptive reweighted sampling algorithm

Evolving trends in fluorescence spectroscopy techniques for food quality and safety: A review

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