Optical Determination of Lead Chrome Green in Green Tea by Fourier Transform Infrared (FT-IR) Transmission Spectroscopy

Liu, Yuanyuan; Xu, Kaiwen; Zhang, Yuying; Sun, Chanjuan; He, Yong

doi:10.1371/journal.pone.0169430

Cited by 17 publications

(17 citation statements)

References 33 publications

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“…Figure 3a shows the characteristic wavelengths which were extracted by the successive projection algorithm (SPA). SPA is a forward feature variable selection method, which selects the combination of variables with minimal redundancy information and minimal collinearity, and it therefore has a wide range of applications in spectral feature wavelength selection [32][33][34][35]. Fourteen characteristic wavelengths were acquired.…”

Section: Selection Of Effective Wavelengthsmentioning

confidence: 99%

Identification of Hybrid Okra Seeds Based on Near-Infrared Hyperspectral Imaging Technology

et al. 2018

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Near-infrared (874–1734 nm) hyperspectral imaging technology combined with chemometrics was used to identify parental and hybrid okra seeds. A total of 1740 okra seeds of three different varieties, which contained the male parent xiaolusi, the female parent xianzhi, and the hybrid seed penzai, were collected, and all of the samples were randomly divided into the calibration set and the prediction set in a ratio of 2:1. Principal component analysis (PCA) was applied to explore the separability of different seeds based on the spectral characteristics of okra seeds. Fourteen and 86 characteristic wavelengths were extracted by using the successive projection algorithm (SPA) and competitive adaptive reweighted sampling (CARS), respectively. Another 14 characteristic wavelengths were extracted by using CARS combined with SPA. Partial least squares discriminant analysis (PLS-DA) and support vector machine (SVM) were developed based on the characteristic wavelength and full-band spectroscopy. The experimental results showed that the SVM discriminant model worked well and that the correct recognition rate was over 93.62% based on full-band spectroscopy. As for the discriminative model that was based on characteristic wavelength, the SVM model based on the CARS algorithm was better than the other two models. Combining the CARS+SVM calibration model and image processing technology, a pseudo-color map of sample prediction was generated, which could intuitively identify the species of okra seeds. The whole process provided a new idea for agricultural breeding in the rapid screening and identification of hybrid okra seeds.

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Section: Selection Of Effective Wavelengthsmentioning

confidence: 99%

Identification of Hybrid Okra Seeds Based on Near-Infrared Hyperspectral Imaging Technology

et al. 2018

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“…LCG is a mixed green powder dye, and the main components of LCG are lead chrome yellow (PbCrO 4 ) and iron blue (Fe 4 [Fe(CN) 6 ] 3 ) or phthalocyanine blue (C 32 H 16 CuN 8 ). 6…”

Section: Methodsmentioning

confidence: 99%

“…These heavy metals cannot be excreted aer ingestion, and long-term ingestion can damage the central nervous system, liver, bones, intestine and stomach. 3,4 At present, several methods have been introduced to detect LCG in tea, such as confocal Raman spectroscopy, 5 Fourier transform infrared (FT-IR) transmission spectroscopy, 6 ion chromatography and spectrophotometry, 7 high performance liquid chromatography-inductively coupled plasma mass spectrometry (HPLC-ICP-MS) 8 and inductive coupled plasma atomic emission spectrometry (ICP-AES). 9 However, the sample preparation process are time-consuming and complex for these traditional methods.…”

Section: Introductionmentioning

confidence: 99%

Detection of lead chrome green in Tieguanyin tea by laser-induced breakdown spectroscopy

Li¹,

Wang²,

Yao³

et al. 2023

J. Anal. At. Spectrom.

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“…The method yielded prediction correlation coefficients and the root mean square error of prediction ( RMSEP ) of 0.99996 and 0.5467, which were within 0.01 for each sample, and LOD and LOQ of 3.2 and 9.7 mg kg −1 , respectively. Li et al [ 35 ] used Fourier transform transmission infrared (FTIR) spectrometry to determine Pb–Cr green in green tea. Partial least squares discrimination (PLS-DA) was used for the qualitative analysis of Pb–Cr green, and the classification was 100% correct.…”

Section: Application Of Infrared Spectroscopy Technology In Detection...mentioning

confidence: 99%

Research Progress of Applying Infrared Spectroscopy Technology for Detection of Toxic and Harmful Substances in Food

Tian

et al. 2022

Foods

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In recent years, food safety incidents have been frequently reported. Food or raw materials themselves contain substances that may endanger human health and are called toxic and harmful substances in food, which can be divided into endogenous, exogenous toxic, and harmful substances and biological toxins. Therefore, realizing the rapid, efficient, and nondestructive testing of toxic and harmful substances in food is of great significance to ensure food safety and improve the ability of food safety supervision. Among the nondestructive detection methods, infrared spectroscopy technology has become a powerful solution for detecting toxic and harmful substances in food with its high efficiency, speed, easy operation, and low costs, while requiring less sample size and is nondestructive, and has been widely used in many fields. In this review, the concept and principle of IR spectroscopy in food are briefly introduced, including NIR and FTIR. Then, the main progress and contribution of IR spectroscopy are summarized, including the model’s establishment, technical application, and spectral optimization in grain, fruits, vegetables, and beverages. Moreover, the limitations and development prospects of detection are discussed. It is anticipated that infrared spectroscopy technology, in combination with other advanced technologies, will be widely used in the whole food safety field.

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Optical Determination of Lead Chrome Green in Green Tea by Fourier Transform Infrared (FT-IR) Transmission Spectroscopy

Cited by 17 publications

References 33 publications

Identification of Hybrid Okra Seeds Based on Near-Infrared Hyperspectral Imaging Technology

Identification of Hybrid Okra Seeds Based on Near-Infrared Hyperspectral Imaging Technology

Detection of lead chrome green in Tieguanyin tea by laser-induced breakdown spectroscopy

Research Progress of Applying Infrared Spectroscopy Technology for Detection of Toxic and Harmful Substances in Food

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