Colorimetric Sensors for Halal Food Authentication: Detecting Non-Halal Meat and Alcohol

Colorimetric sensors offer rapid, low-cost, and on-site halal food verification by visibly detecting non-halal meat adulterants (e.g., porcine derivatives) and ethanol. Unlike laboratory methods (PCR, HPLC, GC‑MS), colorimetric assays-using antibody‑ or DNA‑based formats, paper‑based devices, and smartphone integration-provide easy readouts with limits of detection in the ppb-ppm range and assay times of less than an hour. Advanced approaches employ chemometric or deep learning analysis of color patterns for broad adulterant profiling. Despite challenges in selectivity, reproducibility, and data standardization, emerging AI‑driven platforms and unified datasets promise portable multi‑analyte systems. Overall, colorimetric sensing has the potential to transform halal assurance by making it more accessible, transparent, and scalable.

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Publication Details

Journal
Critical Reviews in Analytical Chemistry
Published
2025-12-23
DOI
https://doi.org/10.1080/10408347.2025.2603480
Primary Topic
Identification and Quantification in Food
Type
article
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article

Colorimetric Sensors for Halal Food Authentication: Detecting Non-Halal Meat and Alcohol

Muhammad Mashuri Utama, Abubakar Ndaman Saidu, Niluh Indria Wardani, Pakorn Varanusupakul et al.
Critical Reviews in Analytical Chemistry
Identification and Quantification in Food
article

Colorimetric Sensors for Halal Food Authentication: Detecting Non-Halal Meat and Alcohol

Muhammad Mashuri Utama, Abubakar Ndaman Saidu, Niluh Indria Wardani, Pakorn Varanusupakul, Ahmed S. El-tahlawy, Waleed Alahmad
article en

Abstract

Colorimetric sensors offer rapid, low-cost, and on-site halal food verification by visibly detecting non-halal meat adulterants (e.g., porcine derivatives) and ethanol. Unlike laboratory methods (PCR, HPLC, GC‑MS), colorimetric assays-using antibody‑ or DNA‑based formats, paper‑based devices, and smartphone integration-provide easy readouts with limits of detection in the ppb-ppm range and assay times of less than an hour. Advanced approaches employ chemometric or deep learning analysis of color patterns for broad adulterant profiling. Despite challenges in selectivity, reproducibility, and data standardization, emerging AI‑driven platforms and unified datasets promise portable multi‑analyte systems. Overall, colorimetric sensing has the potential to transform halal assurance by making it more accessible, transparent, and scalable.

Critical Reviews in Analytical Chemistry
Chulalongkorn University (TH)
Openalex Percentile: Top 36%
Identification and Quantification in Food
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Colorimetric Sensors for Halal Food Authentication: Detecting Non-Halal Meat and Alcohol — Muhammad Mashuri Utama, Abubakar Ndaman Saidu, et al. · Critical Reviews in Analytical Chemistry (2025) | TGRS Research Map | TGRS