Proceedings of the 5th International Conference on Environmentally Sustainable Animal Industry (ICESAI 2024)

Rapid Detection Method of Carbosulfan Pesticide in Apis mellifera Multiflower Honey Integrated with Internet of Things

Authors
Maulidya Zahrina Qolby1, *, Muhammad Panji Sofyan1, Indah Rizki Kurniawati2, Abdul Manab1
1Faculty of Animal Science, Universitas Brawijaya, Malang, 65145, Indonesia
2Faculty of Agriculture, Universitas Brawijaya, Malang, 65145, Indonesia
*Corresponding author. Email: maulidyazahrina@student.ub.ac.id
Corresponding Author
Maulidya Zahrina Qolby
Available Online 18 April 2025.
DOI
10.2991/978-94-6463-670-3_41How to use a DOI?
Keywords
AS7263 Spectral Sensor; Internet of Things; Multiflower Honey; Pesticide
Abstract

Honey is a bee product that potentially to be developed in Indonesia. Cultivated honey in Indonesia reaches 5,000 tons per year. One of the factors that can reduce the quality of honey is pesticide contamination that can affect honey quality and endanger human health. This study aims to develop rapid detection method of pesticide contamination in honey using mechanism of inhibition of coloured acetylcholinesterase enzyme based on paperstrip and determine metabolomic changes factor. This rapid detection method uses AS7263 spectral sensor for accuracy of pesticide levels and is integrated with the Internet of Things. The research was conducted in laboratory experiments by testing the absorbance of pesticide levels, linearity of sensor detection, and metabolomic profiles. The results showed that the linearity of sensor readings was 96.24% with absorbance testing of pesticide levels using the UV-Vis spectrophotometer method. While metabolomic changes in the sample are not significant because the derivative compounds produced is still exogenous. This method is expected to be a solution to overcome the limitations of pesticide detection methods in honey, to be a novel method of testing contaminants in honey products that are rapid and accurate in an effort to escalate food safety in Indonesia.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 5th International Conference on Environmentally Sustainable Animal Industry (ICESAI 2024)
Series
Advances in Biological Sciences Research
Publication Date
18 April 2025
ISBN
978-94-6463-670-3
ISSN
2468-5747
DOI
10.2991/978-94-6463-670-3_41How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Maulidya Zahrina Qolby
AU  - Muhammad Panji Sofyan
AU  - Indah Rizki Kurniawati
AU  - Abdul Manab
PY  - 2025
DA  - 2025/04/18
TI  - Rapid Detection Method of Carbosulfan Pesticide in Apis mellifera Multiflower Honey Integrated with Internet of Things
BT  - Proceedings of the 5th International Conference on Environmentally Sustainable Animal Industry (ICESAI 2024)
PB  - Atlantis Press
SP  - 399
EP  - 407
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-670-3_41
DO  - 10.2991/978-94-6463-670-3_41
ID  - Qolby2025
ER  -