Production process defects of MiXi beverage detected by neutral desorption extractive electrospray ionization mass spectrometry

Process defects in the model production process of MiXi beverage, typical examples of extremely viscous food products, have been successfully detected using neutral desorption-extractive electrospray ionization mass spectrometry (ND-EESI-MS) without sample pretreatment. We employed statistical analysis to explore the correlation between process defects in production and metabolite ions in the fingerprints of MiXi samples with diverse qualities, which were acquired using ND-EESI-MS. Abnormal signals in the fingerprint profiles, such as the unexpected presence of heavy metal ions or pesticides, as well as changes in beneficial compounds like D-glucose, can indicate defects or issues encountered in the production process. Meanwhile, we quantitatively analysed the concentrations of heavy metals and pesticide residues in MiXi beverage, and the results showed a strong linear relationship (<i>R</i><sup>2</sup> > 0.99) between heavy metals and pesticide residues in the concentration range 0.50-200.00 μg L<sup>-1</sup>, with a limit of detection (LOD) of 0.04-1.44 μg L<sup>-1</sup> and limit of quantification (LOQ) of 0.12-4.36 μg L<sup>-1</sup>, with an RSD of 0.39-3.66%. Furthermore, in contrast to previous methods, concealed defects occurring in the manufacturing process, including raw material screening, soaking, and extraction, can be directly detected by terminal product analysis, showing that ND-EESI-MS was a promising tool for quality control in viscous beverages and tracing defects in the production process.

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Publication Details

Journal
The Analyst
Published
2025-01-01
DOI
https://doi.org/10.1039/d5an00299k
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Production process defects of MiXi beverage detected by neutral desorption extractive electrospray ionization mass spectrometry

Rui Su, Manman Qin, Liyun Hu, Tongtong Yang et al.
The Analyst
Advanced Chemical Sensor Technologies
article

Production process defects of MiXi beverage detected by neutral desorption extractive electrospray ionization mass spectrometry

Rui Su, Manman Qin, Liyun Hu, Tongtong Yang, Huanwen Chen, Lili Wang, Lu Huang, Lingling Pan, Huiyu Xing, Ning Wang
article en

Abstract

Process defects in the model production process of MiXi beverage, typical examples of extremely viscous food products, have been successfully detected using neutral desorption-extractive electrospray ionization mass spectrometry (ND-EESI-MS) without sample pretreatment. We employed statistical analysis to explore the correlation between process defects in production and metabolite ions in the fingerprints of MiXi samples with diverse qualities, which were acquired using ND-EESI-MS. Abnormal signals in the fingerprint profiles, such as the unexpected presence of heavy metal ions or pesticides, as well as changes in beneficial compounds like D-glucose, can indicate defects or issues encountered in the production process. Meanwhile, we quantitatively analysed the concentrations of heavy metals and pesticide residues in MiXi beverage, and the results showed a strong linear relationship (<i>R</i><sup>2</sup> > 0.99) between heavy metals and pesticide residues in the concentration range 0.50-200.00 μg L<sup>-1</sup>, with a limit of detection (LOD) of 0.04-1.44 μg L<sup>-1</sup> and limit of quantification (LOQ) of 0.12-4.36 μg L<sup>-1</sup>, with an RSD of 0.39-3.66%. Furthermore, in contrast to previous methods, concealed defects occurring in the manufacturing process, including raw material screening, soaking, and extraction, can be directly detected by terminal product analysis, showing that ND-EESI-MS was a promising tool for quality control in viscous beverages and tracing defects in the production process.

The AnalystVol. 150(18)
Jiangxi University of Traditional Chinese Medicine (CN), Jilin University (CN), State Key Laboratory of Inorganic Synthesis and Preparative Chemistry
National Natural Science Foundation of China
Openalex Percentile: Top 87%
Advanced Chemical Sensor Technologies
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