A fast and direct spectrophotometric method for the simultaneous determination of methyl paraben and hydroquinone in cosmetic products using successive projections algorithm

Esteki, Mahnaz; Nouroozi, Siavash; Shahsavari, Zahra

doi:10.1111/ics.12241

Cited by 26 publications

(7 citation statements)

References 40 publications

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“…That meant, the smaller RMSE was, the better performance the model based on corresponding frequency points had. When RMSE dropped to a certain degree and tended to be stable, the number of frequency points, and the corresponding frequency points at this time would be determined (Esteki, Nouroozi, & Shahsavari, ).…”

Section: Resultsmentioning

confidence: 99%

Nondestructive detection for moisture content in green tea based on dielectric properties and VISSA‐GWO‐SVR algorithm

Sun

Tian

et al. 2020

J Food Process Preserv

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Moisture content was an important indicator to measure quality of green tea. In order to detect moisture content in green tea effectively and accurately, nondestructive detection for moisture content in green tea based on dielectric technology was proposed in this paper. Inductance-capacitance-resistance (LCR) measuring instrument and coaxial-line cylinder capacitor were used to collect dielectric data. The characteristic frequency points were extracted by successive projection algorithm (SPA) and variable iterative space shrinkage approach (VISSA). Support vector regression (SVR) was used to establish prediction models based on full frequency points and characteristic frequency points. The model results demonstrated that VISSA-SVR model based on dielectric loss factor ε″ performed best among all the prediction models, but the prediction accuracy was not enough, so the gray wolf optimization (GWO) algorithm was introduced to optimize the parameters (c and g) in SVR model. Furthermore, the best prediction performances for detecting moisture content in green tea was obtained, with the determination coefficient and root mean square errors (RMSEs) for prediction were 0.9695 and 0.0602, respectively. Therefore, dielectric technology combined with VISSA-GWO-SVR model is feasible for nondestructive determination of the moisture content in tea, which will provide a promising tool for the moisture content detection of other agricultural products. Practical applicationsWell understanding moisture content in tea is great importance. The practical application of this paper is to develop a novel method for moisture content detection in tea using dielectric technology. Compared with traditional methods, dielectric technology can be used to detect moisture content in tea nondestructively and accurately. Characteristic frequency selection algorithms are used to remove the redundant information in the data, and optimization algorithm is used to improve the performance of the model. Thus, dielectric technology combined with the optimal model is considered the most promising method for detecting the moisture content in green tea.How to cite this article: Sun J, Tian Y, Wu X, et al.Nondestructive detection for moisture content in green tea based on dielectric properties and VISSA-GWO-SVR algorithm. J Food Process Preserv. 2020;44:e14421.

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Section: Resultsmentioning

confidence: 99%

Nondestructive detection for moisture content in green tea based on dielectric properties and VISSA‐GWO‐SVR algorithm

Sun

Tian

et al. 2020

J Food Process Preserv

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“…Therefore, the detection of hydroquinone in the water environment is in dire need. Currently, various methods have been developed for hydroquinone detection, including electrochemical method, spectrophotometry, high-performance liquid chromatography, fluorescence method, etc . However, most of these methods are complex in instrumentation and operation, time-consuming, and of high cost .…”

Section: Introductionmentioning

confidence: 99%

Photoenhanced Oxidase–Peroxidase-like NiCo₂O₄@MnO₂ Nanozymes for Colorimetric Detection of Hydroquinone

Zhu

et al. 2022

ACS Sustainable Chem. Eng.

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Artificial oxidase and peroxidase mimics that are based on nanomaterials have drawn enormous attention due to their high stability, high efficiency, and low cost as compared with natural enzymes. Achieving multifunction and further boosting catalytic efficiency are two key directions of future nanozyme development. In this work, NiCo2O4@MnO2 microcubes with p–n junctions were constructed, exhibiting both oxidase- and peroxidase-like activities, capable of catalyzing the oxidation of tetramethylbenzidine (TMB) in the presence of O2 or H2O2. More importantly, such catalytic activity can be dramatically enhanced through illumination due to the in-build p–n junctions and the consequent photoelectric effect. As a prototype, NiCo2O4@MnO2 was utilized in a colorimetric assay to detect trace hydroquinone. An outstanding lowest detection limit of 0.042 μM is achieved, and the recovery in real water samples ranges from 99.87 to 101.10%. The dual enzyme-mimetic and photoenhanced catalytic activities render the nanozyme promising for various applications in sensors and catalysts.

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“…Some of the generally used ex situ techniques include high-performance liquid chromatography (HPLC), 23 solid-phase extraction and gas chromatography−mass spectrometry (SPE/GC-MS), 24 dispersive liquid−liquid microextraction (DLME-HPLC-MS), 25 liquid chromatography− tandem mass spectrometry (LC-MS/SPE), 26 capillary electrophoresis, 27 and spectrophotometry. 28 Although these techniques are generally performed in laboratory settings with low detection limits and high accuracy, they possess several drawbacks like being time-consuming, requiring highly trained personnel to operate the instrument, and needing tedious sample preparation and extraction techniques. This led to the development of a simple in situ technique, namely, the electrochemical method, to quantify the harmful ingredients, and it is considered superior owing to its effortless sample preparation, minimal analysis duration, and ease of operation with ideal selectivity, sensitivity, and detection limits.…”

Section: ■ Introductionmentioning

confidence: 99%

“…There are numerous ex situ methods available to quantify the presence of parabens and their derivatives. Some of the generally used ex situ techniques include high-performance liquid chromatography (HPLC), solid-phase extraction and gas chromatography–mass spectrometry (SPE/GC-MS), dispersive liquid–liquid microextraction (DLME-HPLC-MS), liquid chromatography–tandem mass spectrometry (LC-MS/SPE), capillary electrophoresis, and spectrophotometry . Although these techniques are generally performed in laboratory settings with low detection limits and high accuracy, they possess several drawbacks like being time-consuming, requiring highly trained personnel to operate the instrument, and needing tedious sample preparation and extraction techniques.…”

Section: Introductionmentioning

confidence: 99%

Facile Development of a Hybrid-Silica-Assisted Nanointerface for Active Electrochemical Recognition of an Endocrine Disruptor

Kannan

Aishwarya

Gandhi

2021

Ind. Eng. Chem. Res.

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Paraben, a conventional preservative used in most personal care products, falls under the class of endocrine disruptors. From small living organisms to human beings, everyone is exposed to this endocrine disruptor either directly or indirectly. Paraben has quite treacherous effects, causing numerous effects on every living being. Hence, there is a necessity to spot the presence of this molecule in personal care products to validate its usage limit and also in water samples since it acts as a major pollutant by accumulating in many water bodies as a result of wash-off from many day-to-day products. In this work, an electrochemical sensor has been designed using a hybrid nanomaterial as a chemical modifier, i.e., polyhedral oligomeric silsesquioxane terminated with vinyl groups (POSS-vinyl). This modifier effectively quantifies the target analyte’s presence avoiding matrix effects in cosmetic products as well as in simulated water samples with excellent recoveries. This material is subjected to various physiochemical characterizations, revealing that the synthesized material is a POSS-vinyl oligomer. The electrochemical characterization discloses its sensing ability toward parabens by offering sensitivities of around 0.0103, 0.0048, and 0.0078 μA/μM and detection limits of about 0.29, 0.36, and 0.38 μM for methyl, ethyl, and propyl parabens, respectively.

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A fast and direct spectrophotometric method for the simultaneous determination of methyl paraben and hydroquinone in cosmetic products using successive projections algorithm

Cited by 26 publications

References 40 publications

Nondestructive detection for moisture content in green tea based on dielectric properties and VISSA‐GWO‐SVR algorithm

Nondestructive detection for moisture content in green tea based on dielectric properties and VISSA‐GWO‐SVR algorithm

Photoenhanced Oxidase–Peroxidase-like NiCo₂O₄@MnO₂ Nanozymes for Colorimetric Detection of Hydroquinone

Facile Development of a Hybrid-Silica-Assisted Nanointerface for Active Electrochemical Recognition of an Endocrine Disruptor

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A fast and direct spectrophotometric method for the simultaneous determination of methyl paraben and hydroquinone in cosmetic products using successive projections algorithm

Cited by 26 publications

References 40 publications

Nondestructive detection for moisture content in green tea based on dielectric properties and VISSA‐GWO‐SVR algorithm

Nondestructive detection for moisture content in green tea based on dielectric properties and VISSA‐GWO‐SVR algorithm

Photoenhanced Oxidase–Peroxidase-like NiCo2O4@MnO2 Nanozymes for Colorimetric Detection of Hydroquinone

Facile Development of a Hybrid-Silica-Assisted Nanointerface for Active Electrochemical Recognition of an Endocrine Disruptor

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Photoenhanced Oxidase–Peroxidase-like NiCo₂O₄@MnO₂ Nanozymes for Colorimetric Detection of Hydroquinone