Portable VIS-NIR Spectrophotometer for Detecting Adulteration of Minced Beef and Chicken Using AS7341 Sensor with PCA Method

Abstract:

The most vulnerable food products related to halal issues are in the form of mixing beef and chicken meat with pork, which has a physical resemblance if not carefully considered. The rise of meat adulteration is often found due to high demand and high prices. For this reason, a fast, effective, and low-cost meat adulteration detection tool is needed. Detection of beef and chicken adulteration in this study was carried out using a VIS-NIR spectrophotometer from an AS7341 multispectral sensor equipped with an LED light source and 11 channels to read the reflection of meat light in the near light and near infrared ranges, raspberry pi as a microcontroller, data displayed on an LCD stored in CSV form. The results of sensor response patterns formed in beef, chicken, pork, mixed beef-pork, and minced chicken-pork mixed meat show different characteristics. Then to clarify the characteristics of each meat, the results of the sensor response were analyzed using the Principle Componen Analysis (PCA) method. The results of data reduction from PCA projections through Principle Component 1 and Principle Component 2 regions are able to detect the presence of pork mixture in beef and chicken. The results of the PCA score plot on beef, pork and cow-pig mixture the percentage of PC1 is 100% and PC2 is 0% while on chicken, pork and chicken-pig mixture the percentage of PC1 is 100% and PC2 is 0%. The results of this study show the great potential of using a portable spectrophotometer using the AS7341 sensor whose results are analyzed using the PCA method to detect adulteration of minced beef and chicken.

• Periodical: Engineering Innovations (Volume 15)
• Pages: 9-20
• DOI: https://doi.org/10.4028/p-jSMi1U
• Online since: November 2025
• Authors: Humaidillah Kurniadi Wardana*, Endarko Endarko, Agus Muhamad Hatta
• Keywords: AS7341 Sensor, Beef, Chicken, PCA, Pork, Spectrophotometer

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