Article Abstract

Volume 35, No. (4), 2025 (August)
GEOGRAPHICAL CLASSIFICATION OF VIETNAMESE DRAGON FRUIT (Hylocereus spp.) USING ICP-MS AND PCA
Quang Minh Bui, Ha Minh Duc Tran, Ngoc Minh Truong, Viet Anh Le, Thi Quynh Bui, Hoang Khanh Nguyen, Quang Hai Vu, Van Nhan Le

Q. M. Bui¹, H. M. D. Tran², N. M. Truong³, V. A. Le⁴, T. Q. Bui⁵, H. K. Nguyen⁶, Q. H. Vu⁷, V. N. Le⁸*

¹ Center for High Technology Research and Development, Vietnam Academy of Science and Technology, Hanoi 10072, Vietnam,
² Center for High Technology Research and Development, Vietnam Academy of Science and Technology, Hanoi 10072, Vietnam,
³ Center for High Technology Research and Development, Vietnam Academy of Science and Technology, Hanoi 10072, Vietnam,
⁴ Center for High Technology Research and Development, Vietnam Academy of Science and Technology, Hanoi 10072, Vietnam,
⁵ Center for High Technology Research and Development, Vietnam Academy of Science and Technology, Hanoi 10072, Vietnam,
⁶ Center for High Technology Research and Development, Vietnam Academy of Science and Technology, Hanoi 10072, Vietnam,
⁷ Institute of Environmental Sciences and Public Health, Hanoi 10072, Vietnam,
⁸ Center for High Technology Research and Development, Vietnam Academy of Science and Technology, Hanoi 10072, Vietnam,

Corresponding Author: levannhan.na@gmail.com
Page Number(s): 946-954
Published Online First: June 10, 2025
Publication Date: July 29, 2025
ABSTRACT

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.

Keywords: dragon fruit, geographical classification, ICP-MS, Principal Component Analysis

Indexing

Web of Science (SCIE)

SCOPUS (Q3)

Status

Journal Metrics

Journal Impact Factor: 0.5 | (JCR Year: 2025) | Cite Score: 1.3

HEC Category: W

Current

ISSN Details

Print ISSN: 1018-7081

Electronic ISSN: 2309-8694

Verified
Search the Journal

Use the fields below to search for articles by Title, Author, or Keywords.