Rapid Detection Method of Carbosulfan Pesticide in Apis mellifera Multiflower Honey Integrated with Internet of Things
Maulidya Zahrina Qolby1*, Muhammad Panji Sofyan1, Indah Rizki Kurniawati3, Abdul Manab2

1. Student, Faculty of Animal Science, Universitas Brawijaya, Malang 65145, Indonesia
2. Lecturer, Faculty of Animal Science, Universitas Brawijaya, Malang 65145, Indonesia
3. Student, Faculty of Agriculture, Universitas Brawijaya, Malang 65145, Indonesia

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 usingmechanism 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 remain 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.

Keywords: AS7263 Spectral Sensor, Internet of Things, Multiflower Honey, Pesticide

Topic: Animal Products and Sustainable Post-Harvest Technology