RT Journal T1 GEOGRAPHICAL CLASSIFICATION OF VIETNAMESE DRAGON FRUIT (Hylocereus spp.) USING ICP-MS AND PCA A1 Quang Minh Bui A1 Ha Minh Duc Tran A1 Ngoc Minh Truong A1 Viet Anh Le A1 Thi Quynh Bui A1 Hoang Khanh Nguyen A1 Quang Hai Vu A1 Van Nhan Le JF Journal of Animal and Plant Sciences JO JAPS SN 1018-7081 VO 35 IS 4 SP 946 OP 954 YR 2025 FD 2025/07/29 DO DOI https://doi.org/10.36899/JAPS.2025.4.0081 AB
A geographical classification is a systematic framework for organizing and categorizing location-based data, facilitating the comparative analysis and interpretation of spatial distributions and regional characteristics. This study investigates the elemental composition and nutritional profiles of dragon fruits (Hylocereus spp.) collected from four major cultivation provinces in Vietnam: Tien Giang, Vinh Long, Long An, and Binh Thuan, using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and Principal Component Analysis (PCA). A total of 80 samples (20 per province) were analyzed, revealing significant regional differences in elemental concentrations. Notably, Binh Thuan samples exhibited the highest levels of Nickel (34.09±1.98 µg/g), Chromium (86.11±4.16 µg/g), and Iron (3.08±0.21 µg/g), reflecting unique soil characteristics. Nutritional assessments indicated that Tien Giang samples had the highest Vitamin C content (30.65±0.16 mg/100 g) and acidity (5.80±0.40 mg/100 g). The PCA demonstrated clear clustering of samples by region, with elements such as Manganese, Yttrium, Barium, Potassium, Titanium, Sodium, Arsenic, and Cadmium contributing most to classification. Protein, lipid, and total sugar levels showed minimal variation across regions. These results highlight ICP-MS and PCA as effective tools for geographic traceability and quality control of agricultural products, supporting Vietnam's dragon fruit industry in meeting global export standards. Future applications include integrating traceability systems to enhance product authenticity and safety in international markets.
K1 dragon fruit, geographical classification, ICP-MS, Principal Component Analysis PB Pakistan Agricultural Scientists Forum LK https://thejaps.org.pk/AbstractView.aspx?mid=2025-JAPS-81