2019
DOI: 10.1016/j.measurement.2018.12.052
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Laser-induced breakdown spectroscopy unified partial least squares regression: An easy and speedy strategy for predicting Ca, Mg and Na content in honey

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Cited by 22 publications
(9 citation statements)
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“…Dried soil samples were also digested by nitric acid. The digested plant and soil materials were used to determine mineral nutrient concentrations of calcium (Ca), sodium (Na), aluminum (Al), manganese (Mn), iron (Fe), zinc (Zn), titanium (Ti), chrome (Cr), K, Mg, and P by an Agilent 710 ICP-OES spectrometer (Agilent, Palo Alto, CA, United States) according to instructions ( Se et al, 2019 ; Tang et al, 2019 ). The total C and N concentrations were analyzed with an elementar vario MACRO cube (Elementar, Germany) ( Zuo et al, 2016 ).…”
Section: Methodsmentioning
confidence: 99%
“…Dried soil samples were also digested by nitric acid. The digested plant and soil materials were used to determine mineral nutrient concentrations of calcium (Ca), sodium (Na), aluminum (Al), manganese (Mn), iron (Fe), zinc (Zn), titanium (Ti), chrome (Cr), K, Mg, and P by an Agilent 710 ICP-OES spectrometer (Agilent, Palo Alto, CA, United States) according to instructions ( Se et al, 2019 ; Tang et al, 2019 ). The total C and N concentrations were analyzed with an elementar vario MACRO cube (Elementar, Germany) ( Zuo et al, 2016 ).…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, the constructed models using both the LDA and SVC algorithms, carried out the classification of the samples of different botanical origin, with accuracy of 99.8%, while the RFC model had an accuracy of 97.8%. In a similar work, Se et al [ 63 ] created a Partial Least Squares Regression model predicting the concentration of calcium (Ca), magnesium (Mg), and sodium (Na) by using LIBS spectra from 30 stingless bee honey samples. The constructed PLSR model was subsequently evaluated by inductively coupled plasma-optical emission spectrometry (ICP-OES) measurements in order to determine the concentrations of Na, Ca, and Mg.…”
Section: Libs Applications In Food Analysismentioning
confidence: 99%
“…Also Zhang et al 181 performed LIBS analysis on Chinese tea leaves, with the purpose of optimizing the optimal spectral lines for classication and quality control. Se et al 182 used chemometric analysis for the determination of Ca, Mg and Na content in honey. The challenges for application of LIBS in agricultural studies were discussed in a recent review by Peng et al 183 Eum et al 184 discussed the combined use of LIBS and near-infrared spectroscopy for the identication of the geographical origin of vegetable samples.…”
Section: Food and Feed Industrymentioning
confidence: 99%