Elemental composition of rice using calibration free laser induced breakdown spectroscopy

Jabbar, Abdul; Akhtar, M.; Ali, A H; Mehmood, Sahid; Iftikhar, Sidra; Baig, M. A.

doi:10.1007/s11801-019-8099-0

Cited by 12 publications

(2 citation statements)

References 24 publications

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“…In 2017 Ahmed et al 108 investigated the composition of different cigarette brands using CF-LIBS. Other papers have dealt with the CF-LIBS analysis of edible plants (see Rehan et al 109,110 in 2018 and Jabbar et al 111 in 2019). Jabbar et al 112 also characterized inorganic nutrients in maize samples.…”

Section: Food and Healthmentioning

confidence: 99%

Catching up on calibration-free LIBS

Poggialini

Campanella

Cocciaro

et al. 2023

J. Anal. At. Spectrom.

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Section: Food and Healthmentioning

confidence: 99%

Catching up on calibration-free LIBS

Poggialini

Campanella

Cocciaro

et al. 2023

J. Anal. At. Spectrom.

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“…Liu et al [24] soaked rice in the copper solution to prepare copper-contaminated rice samples and applied LIBS for quantitative analysis of copper in three kinds of rice, the results showed that LIBS could be considered as a useful tool for copper detection. Jabbar et al [25] detected the composition of nutrient elements in different parts (root, stem and seed) of the rice plant using LIBS, and determined their weighted concentration. Peng et al [26] investigated the influence of parameters in dual-pulse LIBS method to predict chromium content in rice leaves and provided a fast approach for toxic elements prediction in rice leaves.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of cadmium in rice roots based on LIBS and chemometrics methods

et al. 2021

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Background Excessive cadmium can damage cell structure, inhibit enzyme activity, and affect metabolic process, thus, leading to decline of rice yield and quality. Root is an important organ of crops, the detection of cadmium in root is essential for limitation of cadmium in rice grains. Results In this study, laser-induced breakdown spectroscopy (LIBS) was applied for cadmium quantitative analysis. Pretreatment methods, including median absolute deviation, wavelet transform, area normalization, were used to improve spectral stability. Scanning electron microscope and energy-dispersive X-ray spectrometer (SEM/EDS) was first used to analyze ablation pit surface characteristics and the results showed significant positive correlation with spectral lines of Cd II 214.44, Cd II 226.50 and Cd I 228.80 nm. Univariable models of spectral lines showed that three Cd spectral lines have good prediction for cadmium. Fitting methods including linear, logarithmic, and polynomial were used to propose characteristic input variables, and univariable models based on variable of polynomial fitting of I214.44 nm have achieved the best effect (Rp = 0.9821 and RMSEP = 31.1 mg/kg). Besides, partial least squares regression (PLSR), least squares support vector machine (LS-SVM) and extreme learning machine (ELM) were used for multivariate analysis. Compared with univariate analysis, ELM model based on the full spectrum (Rp = 0.9896 and RMSEP = 26.0 mg/kg) had more advantages for cadmium detection. Conclusion Compared with traditional methods (150 min), the quantitative detection method based on LIBS technology (less than 5 min) greatly reduces the detection time of heavy metals. The results showed that LIBS has proved to be a reliable method for quantitative detection of cadmium in rice roots. The research can provide theoretical support for timely detection of heavy metals in crop and food production.

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Laser‐InducedBreakdown Spectroscopy in Food Sciences

Naozuka

Oliveira

2023

Laser Induced Breakdown Spectroscopy (LIBS)

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Elemental composition of rice using calibration free laser induced breakdown spectroscopy

Cited by 12 publications

References 24 publications

Catching up on calibration-free LIBS

Catching up on calibration-free LIBS

Quantitative analysis of cadmium in rice roots based on LIBS and chemometrics methods

Laser‐InducedBreakdown Spectroscopy in Food Sciences

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