Quantitative analysis and health risk assessment of selected heavy metals in pet food samples using ultrasound assisted hydrogen peroxide extraction followed by ICP-OES analysis

被引:1
|
作者
Ncube, Nomatter [1 ]
Thatyana, Maxwell [1 ]
Tancu, Yolanda [2 ]
Mketo, Nomvano [1 ]
机构
[1] Univ South Africa, Coll Sci Engn & Technol, Dept Chem, Florida Sci Campus, ZA-1710 Johannesburg, South Africa
[2] Council Sci & Ind Res CSIR, Water Ctr, ZA-0001 Pretoria, South Africa
关键词
Heavy metal pollutants; Pet food; Ultrasound assisted hydrogen peroxide extraction (UA-HPE); ICP-OES; Multivariate optimization; Health risk assessment; Method greenness; MULTIELEMENTAL DETERMINATION; TOXICITY;
D O I
10.1016/j.fct.2024.114915
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
There is a lack of information regarding the presence of heavy metals in feed ingredients for animals. Therefore, this study examines 10 feed samples collected from commercial pet food in South African market. The optimal working parameters for ultrasound assisted hydrogen peroxide extraction (UA-HPE) confirmed by multivariate optimization were sonication temperature at 80 degrees C for 60 min, sample mass of 0.1 g, and H2O2 concentration of 5 mol/L. The UA-HPE results demonstrated high accuracy of (>95%), reproducibility (<= 1.9%), low method of detection limits (0.3498 and 0.49 mu g/g), and strong linearity as confirmed by regression analysis. The environmental friendliness of the UA-HPE method was assessed using AGREEPrep metric tool that resulted with a score of 0.74. The concentration levels of Cd, Pb and As, ranged between 0.86 and 11.34, 4.50-11.45, and 2.61-12.5 mu g/g, respectively greater than the standardized limits, whilst Cr, and Sn were below the limits of detection in all pet food. The health index calculations (HI > 1) revealed that the cat, dog, and horse feed pose health risk for animal consumption. Consequently, this study demonstrated a green, efficient, and cost-effective method for the analysis of animal feed with high accuracy.
引用
收藏
页数:11
相关论文
共 45 条
  • [41] Source Identification Using Principal Component Analysis and Health Risk Assessment of Heavy Metals Contamination in PM2.5 Near an Industrial Area in Thailand
    Simatupang, Cathleen Ariella
    Santhaweesuk, Kanitthika
    Pongkiatkul, Prapat
    Strezov, Vladimir
    Boontanon, Narin
    Jindal, Ranjna
    Boontanon, Suwanna Kitpati
    EXPOSURE AND HEALTH, 2025, 17 (01) : 245 - 264
  • [42] Determination of benzophenone-UV filters in human milk samples using ultrasound-assisted extraction and clean-up with dispersive sorbents followed by UHPLC-MS/MS analysis
    Rodriguez-Gomez, R.
    Zafra-Gomez, A.
    Dorival-Garcia, N.
    Ballesteros, O.
    Navalon, A.
    TALANTA, 2015, 134 : 657 - 664
  • [43] Quantitative analysis and health risk assessment of bisphenols in selected canned foods using the modified QuEChERS method coupled with gas chromatography-mass spectrometry
    Mahlangu, Walter Bonke
    Maseko, Bethusile Rejoice
    Mongadi, Itumeleng Lucky
    Makhubela, Nkosinathi
    Ncube, Somandla
    FOOD PACKAGING AND SHELF LIFE, 2023, 37
  • [44] Impact of microwave-assisted acid extraction (MW-AAE) methods on simultaneous ICP-MS analysis of multi-elements in edibles besides associated greenness and human health risk assessment
    Pothuraju, Naresh
    Pogula, Harish Kumar
    Jagdale, Rushikant
    Vadla, Udaya Kumar
    Gajbhiye, Rahul Laxman
    Parihar, Vipan Kumar
    Velayutham, Ravichandiran
    Peraman, Ramalingam
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2025, 197 (03)
  • [45] Ecological and Health Risk Assessment of Heavy Metals in Groundwater within an Agricultural Ecosystem Using GIS and Multivariate Statistical Analysis (MSA): A Case Study of the Mnasra Region, Gharb Plain, Morocco
    Sanad, Hatim
    Moussadek, Rachid
    Dakak, Houria
    Zouahri, Abdelmjid
    Lhaj, Majda Oueld
    Mouhir, Latifa
    WATER, 2024, 16 (17)