A novel strategy for quantitative analysis of the energy value of milk powder<i>via</i>laser-induced breakdown spectroscopy coupled with machine learning and a genetic algorithm-Reference-Cited by-同舟云学术

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

Published:2023 Issue:2 Volume:38 Page:464-471
ISSN:0267-9477
Container-title:Journal of Analytical Atomic Spectrometry
language:en
Short-container-title:J. Anal. At. Spectrom.

Author:

Ding Yu¹²^ORCID,Chen Jing¹²,Chen Wenjie¹²,Wang Yufeng¹²,Yang Linyu¹²,Wei Zhong¹²

Affiliation:

1. Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China

2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing, 210044, China

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.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Spectroscopy,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/JA/D2JA00322H

Reference32 articles.

1. The role of fermentable carbohydrates and beverages in the symptomatology of functional gastrointestinal disease

2. The effect of preventive use of hydrolyzed protein formula milk on gastrointestinal diseases and physical development of premature infants

3. Comparison of the energy values of different dairy products obtained by various methods

4. Analysis of an Iron-Copper Alloy by Calibration-Free Laser-Induced Breakdown Spectroscopy (CF-LIBS) and Inductively Coupled Plasma – Mass Spectrometry (ICP-MS)

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