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Analisis Sidik Jari Kromatografi Lapis Tipis Secara Kemometrik Daun Tumbuhan Anting-Anting (Acalypa Indica L.) Berdasarkan Lokasi Tumbuh Hidayaty, Alfianita Nuril; Hayati, Elok Kamilah
ALCHEMY:Journal of Chemistry Vol 12, No 1 (2024): ALCHEMY: JOURNAL OF CHEMISTRY
Publisher : Department of Chemistry, Faculty of Science and Technology UIN Maulana Malik Ibrahim Malan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/al.v12i1.22130

Abstract

Anting-anting plant (Acalypha indica L.) is a tropical plant with abundant secondary metabolite content, so its content can be used as traditional medicine. One of the secondary metabolites is influenced by the location of growth in different groups of compounds and levels. Information related to secondary metabolites can be used for quality control. This study aims to determine the effect of differences in growing locations on levels and secondary metabolites in the Tuban, Bojonegoro, and Ngawi regions. The method used is Thin Layer Chromatography (TLC) followed by the Orange 3.32 Principal Component Analysis (PCA) chemometric method to obtain the grouping and concentration of each sample. The results of the TLC separation obtained 10 sample spots from the Tuban area, 10 sample spots from the Bojonegoro area, and 13 sample spots from the Ngawi area. PCA multivariate analysis explained that the total data variation was 91% (PC 1= 52.5%; PC 2= 38.5%). These results indicate that there are differences in the levels and groups of active compounds with different Area Under Curve (AUC) values for each sample of the earring leaf extract.
Optimization and Stability Assessment of Chitosan/PVA Smart Sensor Films Incorporated with Roselle Anthocyanins for Real-Time Visual Monitoring of Chicken and Shrimp Freshness under Different Storage Conditions Hidayaty, Alfianita Nuril; Fiddaroini, Saidun; Fahmi, Ahmad Luthfi; Fardiyah, Qonitah; Sabarudin, Akhmad
Science and Technology Indonesia Vol. 11 No. 1 (2026): January
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2026.11.1.217-234

Abstract

The development of intelligent packaging systems has become a promising approach to ensure food safety and quality by enabling real-time freshness monitoring. In this study, chitosan/polyvinyl alcohol (Cs/PVA)-based smart sensor films incorporated with roselle (Hibiscus sabdariffa L.) anthocyanins were fabricated and optimized for the visual detection of chicken and shrimp spoilage under variations storage. Anthocyanins were extracted from fresh roselle petals through different maceration periods (R1–R5) to investigate their influence on film properties. Physicochemical characterization revealed that extended maceration enhanced anthocyanin loading, leading to increased film thickness, higher color saturation, and improved optical responsiveness. FESEM micrographs demonstrated homogeneous polymer matrices at lower anthocyanin concentrations, while higher loadings induced micro-aggregates that enhanced volatile adsorption and sensing sensitivity. The fabricated films exhibited clear and progressive color transitions aligned with the spoilage process: red–purple at fresh conditions (pH 5–6), brown–green at intermediate spoilage (pH 7–9), and yellow–brown at advanced spoilage (pH ≥10), consistent with anthocyanin structural transformations. Storage trials with chicken and shrimp confirmed that the Cs/PVA–R5 film displayed the intense coloration and strong response to volatile amines such as ammonia, trimethylamine, and dimethylamine, enabling reliable freshness monitoring. Importantly, the films provided a visual indication when the pH exceeded the edibility threshold of 7.0–7.5, beyond which the samples were deemed unsuitable for consumption. Overall, this work demonstrates the potential of Cs/PVA–roselle anthocyanin films as eco-friendly, low-cost, and effective smart indicators for meat and seafood freshness, offering a practical platform for intelligent food packaging applications.