Abstract
[Objective] To analyze the differences in mineral element contents among different pineapple samples and explore the feasibility of applying a discriminant model based on elemental fingerprint analysis to the identification of Shenwan pineapple, a geographical indication product. [Methods] Inductively coupled plasma mass spectrometry was employed to determine the contents of 28 mineral elements in 5 different pineapple samples. Combined with principal component analysis, partial least squares discriminant analysis, and Fisher discriminant analysis, the classification characteristic elements were identified. Discriminant models for pineapples from different producing areas and different bases within the same producing area were established and evaluated. [Results] The characteristic mineral elements (Ca, K, Mg, and Mn) for identifying pineapples from three different producing areas, namely Mangchong Village of Shenwan Town, Yugonglou Village of Xuwen Town, and Wuhe Village of Jiangchuan Town, are screened out. For pineapples from three different planting bases (Mangchong, Dapai, and Modao) in Shenwan Town, the characteristic mineral elements identified are Ca, K, Mg, Na, and B. The Fisher discriminant model established based on these characteristic mineral elements achieves an overall discrimination accuracy of 100% for pineapple samples from different producing areas and 95.9% for those from different bases. [Conclusion] The multivariate statistical analysis method based on mineral elements can effectively discriminate pineapple samples from different producing areas or different bases and can be applied to the traceability of pineapples.
Publication Date
9-20-2026
First Page
70
Last Page
78
DOI
10.13652/j.spjx.1003.5788.2025.80862
Recommended Citation
Jiancan, Ke; Liyi, Chen; Hai, Dong; Hongtao, Zheng; and Yabo, Chen
(2026)
"Origin identification of pineapples based on mineral element fingerprint analysis technology,"
Food and Machinery: Vol. 42:
Iss.
8, Article 10.
DOI: 10.13652/j.spjx.1003.5788.2025.80862
Available at:
https://www.ifoodmm.cn/journal/vol42/iss8/10
References
[1] 叶飞雅.广东名特优新农产品神湾菠萝的成长史 [J].农产品市场周刊,2018 (45):26-27.Ye F Y.Growth history of Shenwan pineapple:a famous,special,high-quality and new agricultural product in Guangdong[J].Agricultural Products Market,2018 (45):26-27.
[2] 李山,樊哲.神湾菠萝产业标准体系构建研究 [J].中国标准化,2025 (4):98-103.Li S,Fan Z.Research on the construction of the standards system for the Shenwan pineapple industry [J].China Standardization,2025 (4):98-103.
[3] 王帆,方馨娉.解码"菠萝经济"背后的融合发展路径 [N].中山日报,2024-08-09(3).Wang F,Fang X P.Decoding the integrated development path behind the "pineapple economy" [N].Zhongshan Daily,2024-08-09(3).
[4] Wu X X,Li L N,Peng T S,et al.Classification of crab-field rice and conventional rice based on multi-element,stable isotope,and non-targeted metabolome combined with chemometrics [J].Foods,2025,14(11):1 853.
[5] 张建辉,汪霞丽,胡勇辉,等.同位素比值分析应用于3种茶叶的产地鉴别 [J].食品与机械,2017,33(10):74-77.Zhang J H,Wang X L,Hu Y H,et al.Regional discrimination of three kinds of tea by isotope ratio analysis [J].Food & Machinery,2017,33(10):74-77.
[6] Liu Y S,Guo Y P,Gong S,et al.Discrimination of curculigo orchioides rhizoma and curculigo glabrescens rhizoma using stable isotope and mineral element analyses coupled with chemometrics [J].Scientific Reports,2022,12(1):12578.
[7] 孙九喆,童治军,李萌,等.基于矿质元素指纹分析技术的烟叶产区判别 [J].食品与机械,2023,39(3):23-28.Sun J Z,Tong Z J,Li M,et al.Producing area discrimination of tobacco leaves based on mineral element fingerprinting technology [J].Food & Machinery,2023,39(3):23-28.
[8] Chen F X,Yang T W,Li J Q,et al.Traceability of boletus edulis origin by multispectral analysis combined with mineral elements from different parts [J].Spectroscopy and Spectral Analysis,2020,40(12):3 839-3 846.
[9] 李楠,杨春杰.基于近红外光谱技术的小米产地溯源研究 [J].食品与机械,2020,36(9):97-101.Li N,Yang C J.Geographic origin determination of millet based on near infrared spectroscopy technique [J].Food & Machinery,2020,36(9):97-101.
[10] Sulaiman N,Sanny M,Yeoh C B,et al.Application of metabolomics and chemometrics for authentication of vegetable oils and adulteration detection:a review [J].European Food Research and Technology,2025,251(10):3 175-3 198.
[11] Zhou R R,Wang Y K,Zhen L P,et al.Cultivar differentiation and origin tracing of panax quinquefolius using machine learning model-driven comparative metabolomics [J].Foods (Basel,Switzerland),2025,14(8):1 340.
[12] Yu S J,Dou L Z,Xu R Z,et al.Integration of multielement profiles and chemometrics for geographical discrimination of Chuju,a cultivar of chrysanthemum morifolium ramat [J].Journal of Food Composition and Analysis,2025,139:107088.
[13] 马雪婷,张九凯,陈颖,等.燕窝多元素的分布及溯源信息研究[J].食品与机械,2019,35(2):66-71.Ma X T,Zhang J K,Chen Y,et al.Study on the distribution characteristics and traceability information of multi-elements in edible bird's nest [J].Food & Machinery,2019,35(2):66-71.
[14] 马梦斌,罗瑞明,李亚蕾.基于矿物元素指纹差异的不同产地滩羊肉判别 [J].食品科学,2020,41(6):316-321.Ma M B,Luo R M,Li Y L.Discrimination of different geographical origins of Tan sheep meat based on mineral element fingerprints [J].Food Science,2020,41(6):316-321.
[15] 黄锐敏,李星,何肖云,等.基于矿物元素指纹图谱技术的武夷岩茶产地溯源研究 [J].福建农业科技,2025,56(6):17-25.Huang R M,Li X,He X Y,et al.Study on the origin traceability of Wuyi rock tea based on mineral element fingerprinting technology [J].Fujian Agricultural Science and Technology,2025,56(6):17-25.
