Quantification of heavy metals in Chinese jasmine flower cakes and risk assessment

Jasmine flower cakes are particularly popular in China; however, they may contain heavy metals, posing health risks. We quantified heavy metals in jasmine flower cakes and assessed associated health risks. Al, Cr, Mn, Ni, Cu, As, Cd, and Pb in 40 samples were quantified via inductively coupled plasma mass spectrometry, revealing concentrations of 9.32, 0.012, 6.64, 0.296, 4.34, 0.002, 0.001, and 0.008 mg/kg, respectively. The detection rates were 100% except for Cd (82.50%) and As (67.50%). Cluster analysis categorised these metals into five groups: As/Cd, Al/Cr/Pb, Mn, Ni, and Cu. Although all samples exhibited mean health indices (HIs) < 1, nine samples (22.5%) exhibited HI > 1. The maximum HI was 2.261. The average estimated carcinogenic risk values were 27.00 × 10⁻<sup>6</sup> across all samples, with risk ranking as Cd > As > Pb. Overall, the cumulative carcinogenic risk of the cakes is within an acceptable range; however, the risk levels of certain batches warrant further attention. The findings provide a scientific basis for evaluating the safety of jasmine-flavoured cake consumption and establishes a reference analytical framework for risk screening and regulatory strategies of other traditional specialty foods. This supports high-quality development of food industry while safeguarding public health.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-02-26
DOI
https://doi.org/10.1038/s41598-026-40940-6
Primary Topic
Heavy Metals in Plants
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantification of heavy metals in Chinese jasmine flower cakes and risk assessment

S. Liang, Gang Deng, Guoyi Wu, Shuang Liang et al.
Scientific Reports
Heavy Metals in Plants
article

Quantification of heavy metals in Chinese jasmine flower cakes and risk assessment

S. Liang, Gang Deng, Guoyi Wu, Shuang Liang, Yanyun Liu, Jianjun Huang, Liqun Shen
article en

Abstract

Jasmine flower cakes are particularly popular in China; however, they may contain heavy metals, posing health risks. We quantified heavy metals in jasmine flower cakes and assessed associated health risks. Al, Cr, Mn, Ni, Cu, As, Cd, and Pb in 40 samples were quantified via inductively coupled plasma mass spectrometry, revealing concentrations of 9.32, 0.012, 6.64, 0.296, 4.34, 0.002, 0.001, and 0.008 mg/kg, respectively. The detection rates were 100% except for Cd (82.50%) and As (67.50%). Cluster analysis categorised these metals into five groups: As/Cd, Al/Cr/Pb, Mn, Ni, and Cu. Although all samples exhibited mean health indices (HIs) < 1, nine samples (22.5%) exhibited HI > 1. The maximum HI was 2.261. The average estimated carcinogenic risk values were 27.00 × 10⁻<sup>6</sup> across all samples, with risk ranking as Cd > As > Pb. Overall, the cumulative carcinogenic risk of the cakes is within an acceptable range; however, the risk levels of certain batches warrant further attention. The findings provide a scientific basis for evaluating the safety of jasmine-flavoured cake consumption and establishes a reference analytical framework for risk screening and regulatory strategies of other traditional specialty foods. This supports high-quality development of food industry while safeguarding public health.

Scientific Reports
Minzu University of China (CN), Guangxi University (CN), Beihai People's Hospital (CN), Guangxi University of Chinese Medicine (CN)
Zero hunger
Openalex Percentile: Top 41%
Heavy Metals in Plants
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.