Quantitative determination of phosphorus in seafood using laser-induced breakdown spectroscopy combined with machine learning

Tian, Ye; Chen, Qian; Lin, Youxi; Lu, Yuan; Li, Ying; Lin, Hong

doi:10.1016/j.sab.2020.106027

Cited by 31 publications

(18 citation statements)

References 33 publications

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“…This may be attributed to the small variation in the APC content under the experimental conditions [ 77 ] and the overlap of the absorption peak between APC (650 nm) and Chla (660 nm). Multivariate modeling analysis plays an essential role in extracting meaningful information from wide-range spectral data for qualitative and quantitative analyses [ 57 ].…”

Section: Discussionmentioning

confidence: 99%

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Quantification of Photosynthetic Pigments in Neopyropia yezoensis Using Hyperspectral Imagery

Che

Zhong

et al. 2023

Plant Phenomics

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Phycobilisomes and chlorophyll-a ( Chla ) play important roles in the photosynthetic physiology of red macroalgae and serve as the primary light-harvesting antennae and reaction center for photosystem II. Neopyropia is an economically important red macroalga widely cultivated in East Asian countries. The contents and ratios of 3 main phycobiliproteins and Chla are visible traits to evaluate its commercial quality. The traditional analytical methods used for measuring these components have several limitations. Therefore, a high-throughput, nondestructive, optical method based on hyperspectral imaging technology was developed for phenotyping the pigments phycoerythrin (PE), phycocyanin (PC), allophycocyanin (APC), and Chla in Neopyropia thalli in this study. The average spectra from the region of interest were collected at wavelengths ranging from 400 to 1000 nm using a hyperspectral camera. Following different preprocessing methods, 2 machine learning methods, partial least squares regression (PLSR) and support vector machine regression (SVR), were performed to establish the best prediction models for PE, PC, APC, and Chla contents. The prediction results showed that the PLSR model performed the best for PE ( R Test 2 = 0.96, MAPE = 8.31%, RPD = 5.21) and the SVR model performed the best for PC ( R Test 2 = 0.94, MAPE = 7.18%, RPD = 4.16) and APC ( R Test 2 = 0.84, MAPE = 18.25%, RPD = 2.53). Two models (PLSR and SVR) performed almost the same for Chla (PLSR: R Test 2 = 0.92, MAPE = 12.77%, RPD = 3.61; SVR: R Test 2 = 0.93, MAPE = 13.51%, RPD =3.60). Further validation of the optimal models was performed using field-collected samples, and the result demonstrated satisfactory robustness and accuracy. The distribution of PE, PC, APC, and Chla contents within a thallus was visualized according to the optimal prediction models. The results showed that hyperspectral imaging technology was effective for fast, accurate, and noninvasive phenotyping of the PE, PC, APC, and Chla contents of Neopyropia in situ. This could benefit the efficiency of macroalgae breeding, phenomics research, and other related applications.

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Section: Discussionmentioning

confidence: 99%

“…SVR is a nonlinear machine learning method that can efficiently perform nonlinear regression using a kernel trick [ 57 ]. SVR is appealing in the spectral regression field because of its ability to handle small training datasets successfully [ 58 ].…”

Section: Methodsmentioning

confidence: 99%

Quantification of Photosynthetic Pigments in Neopyropia yezoensis Using Hyperspectral Imagery

Che

Zhong

et al. 2023

Plant Phenomics

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“…The data was then combined with complementary values from EDXRF spectrometry to improve the calibration model that enhanced the performance for K. This ‘data fusion’ approach functioned better than the individual data sets, but obviously required significantly more laboratory time when using a total of three analytical techniques. Due to its use as an additive/preservative, a number of countries have regulations on the maximum allowable level of P in seafood products, therefore Tian and co-workers, 99 investigated the potential of LIBS for P detection. The samples were homogenised and immersed in standard solutions of varying P concentrations.…”

Section: Progress With Analytical Techniquesmentioning

confidence: 99%

Atomic spectrometry update: review of advances in the analysis of clinical and biological materials, foods and beverages

Patriarca

Barlow

Cross³

et al. 2022

J. Anal. At. Spectrom.

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“…In a similar study, Wang et al [127] applied LIBS and the chemometrics method to determine the cadmium content in rice roots. Tian et al [128] used the LIBS system with machine learning to evaluate the phosphorous concentration in seafood, and the LoD was estimated to be around 370 ppm for normalized data. Akın et al [129] used the LIBS system with PLS regression to determine sorghum levels in flour mixtures consisting of corn and sorghum, and the corresponding LoD was 4.36%.…”

Section: Analysis Of Foodsmentioning

confidence: 99%

Laser-Induced Breakdown Spectroscopy (LIBS) for Trace Element Detection: A Review

Khan

Ullah

Rahman

et al. 2022

Journal of Spectroscopy

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Laser-induced breakdown spectroscopy (LIBS) has emerged as a promising technique for both quantitative and qualitative analysis of elements in a wide variety of samples. However, conventional LIBS suffers from a high limit of detection (LoD) compared with other analytical techniques. This review briefly discusses several methods that demonstrate the applicability and prospects for trace element detection while lowering the LoD when coupled with LIBS. This review compares the enhancement mechanisms, advantages, and limitations of these techniques. Finally, the recent development and application of LIBS coupled techniques for trace element detection are also discussed for various samples such as metal alloys, biomaterials, rare earth elements, explosives, drinking water, and water bodies.

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Quantitative determination of phosphorus in seafood using laser-induced breakdown spectroscopy combined with machine learning

Cited by 31 publications

References 33 publications

Quantification of Photosynthetic Pigments in Neopyropia yezoensis Using Hyperspectral Imagery

Quantification of Photosynthetic Pigments in Neopyropia yezoensis Using Hyperspectral Imagery

Atomic spectrometry update: review of advances in the analysis of clinical and biological materials, foods and beverages

Laser-Induced Breakdown Spectroscopy (LIBS) for Trace Element Detection: A Review

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