Development and validation of a novel HPLC-PDA method for the detection of preservatives in milk

In this research paper we introduce and validate an enhanced method for the detection of sodium benzoate and potassium sorbate in milk. Sodium benzoate and potassium sorbate are widely employed as preservatives in the food industry; however, their use to restrict microbial growth in milk is prohibited. Our novel method achieved performance indicators in accordance with the criteria outlined by the International Conference on Harmonization. The extraction process involved sample dilution in acetonitrile (1:1 v/v), followed by subsequent centrifugation, filtration and injection into a high-performance liquid chromatography system with a photodiode array detector. The detection and quantification limits for sodium benzoate were determined to be 0.204 and 0.618 mg/l, respectively, while for potassium sorbate, these values were 0.108 and 0.328 mg/l, respectively. The accuracy ranged from 92.67 to 99.53%, with pH 4.0 selected as the optimal condition to ensure adequate resolution of the preservatives. The proposed method stands out due to its simplicity and speed, using a single reagent in modest quantities during sample preparation. This approach reduces toxicity and minimizes the production of pollutants during disposal. Furthermore, the novel method requires less raw material and energy consumption, aligning with the principles of green chemistry. Its lower quantitation limits render it more sensitive when compared to the official analysis. The preparation, separation, and simultaneous detection of these preservatives in a short period of time make this method suitable for integration into industrial workflows.

Authors

Institutions

Publication Details

Journal
Journal of Dairy Research
Published
2024-11-01
DOI
https://doi.org/10.1017/s0022029925000044
Primary Topic
Biochemical Analysis and Sensing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of a novel HPLC-PDA method for the detection of preservatives in milk

Fernanda Montanholi de Lira, Natália Gonzaga, Lycio Shinji Watanabe, Stael Málaga Carrilho et al.
Journal of Dairy Research
Biochemical Analysis and Sensing Techniques
article

Development and validation of a novel HPLC-PDA method for the detection of preservatives in milk

Fernanda Montanholi de Lira, Natália Gonzaga, Lycio Shinji Watanabe, Stael Málaga Carrilho, Ronaldo Tamanini, Samanta Stinghen de Abreu, Vanerli Beloti, Suzana Lucy Nixdorf
article en

Abstract

In this research paper we introduce and validate an enhanced method for the detection of sodium benzoate and potassium sorbate in milk. Sodium benzoate and potassium sorbate are widely employed as preservatives in the food industry; however, their use to restrict microbial growth in milk is prohibited. Our novel method achieved performance indicators in accordance with the criteria outlined by the International Conference on Harmonization. The extraction process involved sample dilution in acetonitrile (1:1 v/v), followed by subsequent centrifugation, filtration and injection into a high-performance liquid chromatography system with a photodiode array detector. The detection and quantification limits for sodium benzoate were determined to be 0.204 and 0.618 mg/l, respectively, while for potassium sorbate, these values were 0.108 and 0.328 mg/l, respectively. The accuracy ranged from 92.67 to 99.53%, with pH 4.0 selected as the optimal condition to ensure adequate resolution of the preservatives. The proposed method stands out due to its simplicity and speed, using a single reagent in modest quantities during sample preparation. This approach reduces toxicity and minimizes the production of pollutants during disposal. Furthermore, the novel method requires less raw material and energy consumption, aligning with the principles of green chemistry. Its lower quantitation limits render it more sensitive when compared to the official analysis. The preparation, separation, and simultaneous detection of these preservatives in a short period of time make this method suitable for integration into industrial workflows.

Journal of Dairy ResearchVol. 91(4)
Universidade Estadual de Londrina (BR)
Openalex Percentile: Top 68%
Biochemical Analysis and Sensing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.