Abstract:Laser Induced Breakdown Spectroscopy (LIBS) is an ideal analytical technique for in situ analysis of elemental composition. We have performed a comparative study of the quantitative and qualitative analysis of atomic and molecular emission from LIBS spectra. In our experiments, a mixture of SrCl2 and Al2O3 in powder form was used as a sample. The atomic emission from Sr and molecular emission from SrCl and SrO observed in LIBS spectra were analyzed. The optimum laser energies, gate delays, and gate widths for … Show more
“…A 1024 × 1024 intensified charge-coupled device (ICCD) detector was used for data acquisition. 7,11,20 Figure 1.The experimental setup used for LIBS. BD, beam dump; DM, dichroic mirror; PC, personal computer.…”
Section: Methodsmentioning
confidence: 99%
“…A 1024 Â 1024 intensified charge-coupled device (ICCD) detector was used for data acquisition. 7,11,20 A synchronization controller system, which is a programmable time controller, was used to control the gate delay time and gate width time; it is triggered by a pulse from the laser Q-switch to synchronize data acquisition. The spectra were recorded and processed using Andor iStar software (version 4.29).…”
“…Molecular emission analysis was performed using LIBS spectra. 11–13 The protein contains structure of the casein (e.g., alpha-casein C 38 H 57 N 9 O 9 ). An increase of casein will contribute to increase the peak of intensity of the CN bands.…”
Laser-induced breakdown spectroscopy (LIBS) technique was used to compare various types of commercial milk products. Laser-induced breakdown spectroscopy spectra were investigated for the determination of the elemental composition of soy and rice milk powder, dairy milk, and lactose-free dairy milk. The analysis was performed using radiative transitions. Atomic emissions from Ca, K, Na, and Mg lines observed in LIBS spectra of dairy milk were compared. In addition, proteins and fat level in milks can be determined using molecular emissions such as CN bands. Ca concentrations were calculated to be 2.165 ± 0.203 g/L in 1% of dairy milk fat samples and 2.809 ± 0.172 g/L in 2% of dairy milk fat samples using the standard addition method (SAM) with LIBS spectra. Univariate and multivariate statistical analysis methods showed that the contents of major mineral elements were higher in lactose-free dairy milk than those in dairy milk. The principal component analysis (PCA) method was used to discriminate four milk samples depending on their mineral elements concentration. In addition, proteins and fat level in dairy milks were determined using molecular emissions such as CN band. We applied partial least squares regression (PLSR) and simple linear regression (SLR) models to predict levels of milk fat in dairy milk samples. The PLSR model was successfully used to predict levels of milk fat in dairy milk sample with the relative accuracy (RA%) less than 6.62% using CN (0,0) band.
“…A 1024 × 1024 intensified charge-coupled device (ICCD) detector was used for data acquisition. 7,11,20 Figure 1.The experimental setup used for LIBS. BD, beam dump; DM, dichroic mirror; PC, personal computer.…”
Section: Methodsmentioning
confidence: 99%
“…A 1024 Â 1024 intensified charge-coupled device (ICCD) detector was used for data acquisition. 7,11,20 A synchronization controller system, which is a programmable time controller, was used to control the gate delay time and gate width time; it is triggered by a pulse from the laser Q-switch to synchronize data acquisition. The spectra were recorded and processed using Andor iStar software (version 4.29).…”
“…Molecular emission analysis was performed using LIBS spectra. 11–13 The protein contains structure of the casein (e.g., alpha-casein C 38 H 57 N 9 O 9 ). An increase of casein will contribute to increase the peak of intensity of the CN bands.…”
Laser-induced breakdown spectroscopy (LIBS) technique was used to compare various types of commercial milk products. Laser-induced breakdown spectroscopy spectra were investigated for the determination of the elemental composition of soy and rice milk powder, dairy milk, and lactose-free dairy milk. The analysis was performed using radiative transitions. Atomic emissions from Ca, K, Na, and Mg lines observed in LIBS spectra of dairy milk were compared. In addition, proteins and fat level in milks can be determined using molecular emissions such as CN bands. Ca concentrations were calculated to be 2.165 ± 0.203 g/L in 1% of dairy milk fat samples and 2.809 ± 0.172 g/L in 2% of dairy milk fat samples using the standard addition method (SAM) with LIBS spectra. Univariate and multivariate statistical analysis methods showed that the contents of major mineral elements were higher in lactose-free dairy milk than those in dairy milk. The principal component analysis (PCA) method was used to discriminate four milk samples depending on their mineral elements concentration. In addition, proteins and fat level in dairy milks were determined using molecular emissions such as CN band. We applied partial least squares regression (PLSR) and simple linear regression (SLR) models to predict levels of milk fat in dairy milk samples. The PLSR model was successfully used to predict levels of milk fat in dairy milk sample with the relative accuracy (RA%) less than 6.62% using CN (0,0) band.
“…LIBS is an extremely flexible technique and has several important benefits. These benefits include rapid analysis, no sample preparation for the majority of samples, responsiveness to a large range of essentials as well as the option of immediate multi-essential investigation [10], [11], [12].…”
Laser-induced breakdown spectroscopy (LIBS) is a sensitive optical technique that is capable of rapid multi-elemental analysis. The development of this technique for elemental analysis of pharmaceutical products may eventually revolutionize the field of human health. Under normal circumstances, the elemental analysis of pharmaceutical products based on chemical methods is time-consuming and complicated. In this investigation, the principal aim is to develop an LIBS-based methodology for elemental analysis of pharmaceutical products. This LIBS technique was utilized for qualitative as well as quantitative analysis of the elements present in Ca-based tablets. All the elements present in the tablets were detected and their percentage compositions were verified in a single shot, using the proposed instrument. These elements (e.g., Ca, Mg, Fe, Zn, and others) were identified by the wavelengths of their spectral lines, which were verified using the NIST database. The approximate amount of each element was determined based on their observed peaks and the result was in exact agreement with the content specification. The determination of the composition of prescription drug for patients is highly important in numerous circumstances. For example, the exploitation of LIBS may facilitate elemental decomposition of medicines to determine the accuracy of the stated composition information. Moreover, the approach can provide element-specific, meaningful, and accurate information related to pharmaceutical products.
“…14 For biological study, LIBS has proven itself as useful technique. [15][16][17][18][19] In our previous work, LIBS was used to compare atomic and molecular spectra of Sr. 20 Trevizan et al evaluated LIBS for the determination of micronutrients and macronutrients in plant materials. 21,22 They claimed that the outcome of LIBS analysis of plant samples was buttressed by the results given by ICP-OES after wet acid decomposition.…”
In this study, the laser-induced breakdown spectroscopy (LIBS) technique was used to identify and compare the presence of major nutrient elements in organic and conventional vegetables. Different parts of cauliflowers and broccolis were used as working samples. Laser-induced breakdown spectra from these samples were acquired at optimum values of laser energy, gate delay, and gate width. Both univariate and multivariate analyses were performed for the comparison of these organic and conventional vegetable flowers. Principal component analysis (PCA) was taken into account for multivariate analysis while for univariate analysis, the intensity of selected atomic lines of different elements and their intensity ratio with some reference lines of organic cauliflower and broccoli samples were compared with those of conventional ones. In addition, different parts of the cauliflower and broccoli were compared in terms of intensity and intensity ratio of elemental lines.
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