ARECA ANALYZER: WEB-BASED COLORIMETRIC SYSTEM USING RED CABBAGE EXTRACT FOR EARLY DETECTION OF ORAL SUBMUCOUS FIBROSIS
DOI:
https://doi.org/10.51878/healthy.v5i4.15769Keywords:
OSMF, Pre-Cancer, purple cabbage extract, ARENA AnalyzerAbstract
ABSTRACT
Oral Submucous Fibrosis (OSMF) is a chronic, progressive, and potentially malignant disorder of the oral cavity that predominantly affects individuals with habitual betel quid chewing practices in rural populations. This study developed the ARECA Analyzer as a non-invasive preliminary screening prototype based on salivary Ph determination utilizing natural anthocyanin immobilized from red cabbage extract (Brassica oleracea var. capitata f. rubra). The colorimetric response of the fabricated paper strip was captured via an optical camera and processed through a web application utilizing an automated RGB (Red-Green-Blue) interpretation algorithm. Experimental evaluations across standard buffer solutions ranging from Ph 5 to 8 demonstrated distinct and reproducible chromatic transitions with an intra-assay variation under 5%. Quantitative validation against a calibrated digital Ph meter showed high analytic performance with an average deviation of units and an accuracy level of 97.25%. The web system successfully translated color transitions into digital Ph readouts and categorized health risk profiles accompanied by preliminary dietary recommendations. In conclusion, the ARECA Analyzer proves effective as a natural, low-cost proof-of-concept colorimetric tool for detecting salivary Ph shifts, serving as a functional preliminary stage prior to formal clinical examinations.
ABSTRAK
Oral Submucous Fibrosis (OSMF) merupakan penyakit kronis progresif pada rongga mulut yang berstatus prakanker dan banyak dipicu oleh kebiasaan mengunyah biji pinang secara turun-temurun di wilayah pedesaan. Penelitian ini mengembangkan ARECA Analyzer sebagai purwarupa skrining awal non-invasif berbasis deteksi Ph saliva menggunakan pigmen antosianin alami dari ekstrak kol ungu (Brassica oleracea var. capitata f. rubra). Respons kolorimetri pada substrat kertas indikator direkam menggunakan kamera optik dan diproses melalui aplikasi web dengan algoritma interpretasi koordinat RGB (Red-Green-Blue) secara terkomputasi. Pengujian laboratorium pada larutan penyangga rentang Ph 5 hingga 8 menghasilkan perubahan warna yang tegas dan konsisten dengan variasi replikasi di bawah 5%. Validasi kuantitatif terhadap Ph meter digital standar menunjukkan kinerja analitik yang tinggi dengan selisih pembacaan rata-rata sebesar unit serta tingkat akurasi mencapai 97,25%. Sistem web berhasil mengonversi citra warna menjadi data numerik Ph serta menampilkan klasifikasi stratifikasi risiko kesehatan yang disertai rujukan penanganan awal. Kesimpulannya, indikator ARECA terbukti berfungsi efektif sebagai instrumen kolorimetri alami berbiaya terjangkau dalam mendeteksi pergeseran Ph secara in vitro sebagai tahap penapisan awal sebelum pemeriksaan medis lanjutan.
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