2023
DOI: 10.1039/d2ja00322h
|View full text |Cite
|
Sign up to set email alerts
|

A novel strategy for quantitative analysis of the energy value of milk powdervialaser-induced breakdown spectroscopy coupled with machine learning and a genetic algorithm

Abstract: The energy value of milk powder is an important indicator of its nutritional value, meaning it is of great significance to explore methods of quickly detecting this energy value. In...

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
5

Relationship

2
3

Authors

Journals

citations
Cited by 8 publications
(2 citation statements)
references
References 30 publications
0
2
0
Order By: Relevance
“…17 Several scholars have utilized LIBS technology to study milk powder and have obtained promising results. For instance, Motto-Ros et al 18 used ICP-OES and LIBS to detect Ca, Mg and K concentrations in milk powder, and compared the results of the two analytical techniques, which showed that LIBS technology could be applied to the analysis of mineral elements in organic matter (such as milk powder); Khan et al 19 detected trace metal elements such as Cd, Cr, Cu, Ni and Mn in milk powder samples using LIBS technology; the content of N in the selected samples was between 41 000 and 51 000 ppm, indicating that LIBS can be used to monitor the nutrient composition and heavy metal content in food; Cama-Moncunill et al 20 combined LIBS with a partial least squares regression model (PLSR) for the detection of Ca in milk powder, and their R P 2 reached 0.91; Markiewicz-Keszycka et al 21 used LIBS for the quantication of Mg in milk powder with a detection limit of 150 mg kg; Ding et al 22 established the VI-LSTM (long short-term memory) model based on LIBS technology for the quantitative analysis of calcium in milk powder, and their R P 2 reached 0.9845, which increased the guarantee of the quality and safety of the milk powder; and Y. Ding et al 23 employed LIBS and an ELM algorithm combined with CARS and GA to conduct quantitative analysis of the energy value of milk powder, and the study showed that the GA-CARS-ELM corrected model could obtain the best predictive performance, with an R P 2 of 0.9962.…”
Section: Introductionmentioning
confidence: 99%
“…17 Several scholars have utilized LIBS technology to study milk powder and have obtained promising results. For instance, Motto-Ros et al 18 used ICP-OES and LIBS to detect Ca, Mg and K concentrations in milk powder, and compared the results of the two analytical techniques, which showed that LIBS technology could be applied to the analysis of mineral elements in organic matter (such as milk powder); Khan et al 19 detected trace metal elements such as Cd, Cr, Cu, Ni and Mn in milk powder samples using LIBS technology; the content of N in the selected samples was between 41 000 and 51 000 ppm, indicating that LIBS can be used to monitor the nutrient composition and heavy metal content in food; Cama-Moncunill et al 20 combined LIBS with a partial least squares regression model (PLSR) for the detection of Ca in milk powder, and their R P 2 reached 0.91; Markiewicz-Keszycka et al 21 used LIBS for the quantication of Mg in milk powder with a detection limit of 150 mg kg; Ding et al 22 established the VI-LSTM (long short-term memory) model based on LIBS technology for the quantitative analysis of calcium in milk powder, and their R P 2 reached 0.9845, which increased the guarantee of the quality and safety of the milk powder; and Y. Ding et al 23 employed LIBS and an ELM algorithm combined with CARS and GA to conduct quantitative analysis of the energy value of milk powder, and the study showed that the GA-CARS-ELM corrected model could obtain the best predictive performance, with an R P 2 of 0.9962.…”
Section: Introductionmentioning
confidence: 99%
“…Compared to traditional chemical analysis methods, LIBS does not require complex pretreatment or destructive extraction of the sample and can be performed directly on the sample, which saves experimental time and reduces the risk of contamination during analysis. 5 LIBS technology is widely used in environmental monitoring, 6,7 archaeological investigation, 8,9 industrial analysis, 10,11 agriculture, 12–14 etc. LIBS technology is also used to determine soil source.…”
Section: Introductionmentioning
confidence: 99%