Mobile Soil Fraction and Crop-Tissue Concentrations of Cd, Pb, Cu, and Zn in Agricultural Fields of an Industrial Region of East Kazakhstan: A Descriptive Field Survey

Data relating the plant-available soil fraction of potentially toxic elements (PTEs) to their concentrations in crops are scarce for agricultural land in the industrial regions of Central Asia. This descriptive field survey compares Cd, Pb, Cu, and Zn extracted from the arable horizon with ammonium acetate buffer (pH 4.8) with their concentrations in the roots, stems, leaves, and harvested organs of crops grown on four fields in East Kazakhstan, with a fifth field as a comparison location. Each field carried a different crop and was represented by composite samples, so no between-field difference is attributed to a source. Extractable concentrations were below national hygienic limits for Cd, Pb, Zn, Ni, Cr, and Co, whereas Cu exceeded its limit at three fields by factors of 1.1–1.6. In contrast, Cu, Zn, Pb, and Cd exceeded crop- and organ-specific reference ranges in 29, 27, 27, and 24 of 29 tissue samples, respectively, and tissue Cd increased from summer to autumn in all four paired fields (1.6–2.7-fold). Harmonized Landsat and Sentinel-2 vegetation indices followed crop phenology. The results provide a regional baseline and specify the replicated design required for confirmatory sampling.

Authors

Institutions

Publication Details

Journal
Toxics
Published
2026-11-06
DOI
https://doi.org/10.3390/toxics14110985
Primary Topic
Heavy metals in environment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Mobile Soil Fraction and Crop-Tissue Concentrations of Cd, Pb, Cu, and Zn in Agricultural Fields of an Industrial Region of East Kazakhstan: A Descriptive Field Survey

N. A. Kulenova, Petar Sabev Varbanov, Marzhan Anuarbekovna Sadenova, Sergey Gert
1 links
Toxics
Heavy metals in environment
article

Mobile Soil Fraction and Crop-Tissue Concentrations of Cd, Pb, Cu, and Zn in Agricultural Fields of an Industrial Region of East Kazakhstan: A Descriptive Field Survey

N. A. Kulenova, Petar Sabev Varbanov, Marzhan Anuarbekovna Sadenova, Sergey Gert
article en

Abstract

Data relating the plant-available soil fraction of potentially toxic elements (PTEs) to their concentrations in crops are scarce for agricultural land in the industrial regions of Central Asia. This descriptive field survey compares Cd, Pb, Cu, and Zn extracted from the arable horizon with ammonium acetate buffer (pH 4.8) with their concentrations in the roots, stems, leaves, and harvested organs of crops grown on four fields in East Kazakhstan, with a fifth field as a comparison location. Each field carried a different crop and was represented by composite samples, so no between-field difference is attributed to a source. Extractable concentrations were below national hygienic limits for Cd, Pb, Zn, Ni, Cr, and Co, whereas Cu exceeded its limit at three fields by factors of 1.1–1.6. In contrast, Cu, Zn, Pb, and Cd exceeded crop- and organ-specific reference ranges in 29, 27, 27, and 24 of 29 tissue samples, respectively, and tissue Cd increased from summer to autumn in all four paired fields (1.6–2.7-fold). Harmonized Landsat and Sentinel-2 vegetation indices followed crop phenology. The results provide a regional baseline and specify the replicated design required for confirmatory sampling.

ToxicsVol. 14(11)
D. Serikbayev East Kazakhstan State Technical University (KZ), Széchenyi István University (HU)
Zero hunger
Openalex Percentile: Top 27%
Heavy metals in environment
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.

Laika access coming soon