Evaluation of sample preparation methods for cereal digestion for subsequent As, Cd, Hg and Pb determination by AAS-based techniques

Souza, J. P.; Cerveira, Camila; Miceli, Tatiane M.; Moraes, Diogo Pompéu de; Mesko, Márcia F.; Pereira, Juliana S.F.

doi:10.1016/j.foodchem.2020.126715

Cited by 57 publications

(20 citation statements)

References 11 publications

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“…Nowadays, the latest techniques for digestion usually use open vessel which atmospheric pressure digestion is a common approach to sample preparation [ 33 ]. Another popular approach of digestion is by using microwave assisted-digestion (MW-AD) and microwave induced-combustion (MIC) [ 34 ] ( Table 2 ). Once the organic matrix has been removed, the inorganic constituents can be measured using a variety of instrumental techniques.…”

Section: Mineralsmentioning

confidence: 99%

Recent Techniques in Nutrient Analysis for Food Composition Database

et al. 2020

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Food composition database (FCD) provides the nutritional composition of foods. Reliable and up-to date FCD is important in many aspects of nutrition, dietetics, health, food science, biodiversity, plant breeding, food industry, trade and food regulation. FCD has been used extensively in nutrition labelling, nutritional analysis, research, regulation, national food and nutrition policy. The choice of method for the analysis of samples for FCD often depends on detection capability, along with ease of use, speed of analysis and low cost. Sample preparation is the most critical stage in analytical method development. Samples can be prepared using numerous techniques; however it should be applicable for a wide range of analytes and sample matrices. There are quite a number of significant improvements on sample preparation techniques in various food matrices for specific analytes highlighted in the literatures. Improvements on the technology used for the analysis of samples by specific instrumentation could provide an alternative to the analyst to choose for their laboratory requirement. This review provides the reader with an overview of recent techniques that can be used for sample preparation and instrumentation for food analysis which can provide wide options to the analysts in providing data to their FCD.

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Section: Mineralsmentioning

confidence: 99%

Recent Techniques in Nutrient Analysis for Food Composition Database

et al. 2020

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“…Atomic absorption spectroscopy (AAS) is one of the most commonly used techniques for tracing heavy-metal element determination in food, owing to its robustness, accuracy, speed, and simplicity. However, AAS-based methods have received considerably less attention in the analysis of organic contaminants such as mycotoxins primarily because they are typically regarded as “elemental analytical methods [ 29 ].” In recent years, with the continuous development of molecular labeling methods and the high specificity of antigen–antibody reactions, the target signal (organic contaminant signal) to be detected can be successfully converted to metal ion signals, which can be detected by using an elemental analysis method. Wang [ 30 ] and Hansen [ 31 ] et al completed the conversion of DNA and protein signals to metal ion signals with the help of modified quantum dots, which allowed for the detection of target DNA and proteins by electrochemical means.…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of an Automated Magneto-Controlled Pretreatment for Chromatography-Free Detection of Aflatoxin B1 in Cereals and Oils through Atomic Absorption Spectroscopy

Jin

Zheng

et al. 2022

Toxins

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A chromatography-free detection of aflatoxin B1 (AFB1) in cereals and oils through atomic absorption spectroscopy (AAS) has been developed using quantum dots and immunomagnetic beads. A magneto-controlled pretreatment platform for automatic purification, labeling, and digestion was constructed, and AFB1 detection through AAS was enabled. Under optimal conditions, this immunoassay exhibited high sensitivity for AFB1 detection, with limits of detection as low as 0.04 μg/kg and a linear dynamic range of 2.5–240 μg/kg. The recoveries for four different food matrices ranged from 92.6% to 108.7%, with intra- and inter-day standard deviations of 0.7–6.3% and 0.6–6.9%, respectively. The method was successfully applied to the detection of AFB1 in husked rice, maize, and polished rice samples, and the detection results were not significantly different from those of liquid chromatography-tandem mass spectrometry. The proposed method realized the detection of mycotoxins through AAS for the first time. It provides a new route for AFB1 detection, expands the application scope of AAS, and provides a reference for the simultaneous determination of multiple poisonous compounds (such as mycotoxins and heavy metals).

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“…This method is based on the combustion of the sample, in general rich in carbon, in the presence of a rich oxygen atmosphere, where the sample combustion was induced by the microwave radiation. [26][27][28][29][30] Since the combustion is performed in a closed system, aer digestion, analytes were quantitatively absorbed in a suitable absorbing solution and analyte losses are negligible, including volatile elements. 26,27,31,32 Contrarily to other combustion methods, MIC conveniently incorporates an optional reux step aer digestion by the continuous application of microwave radiation that signicantly improves analyte recovery.…”

Section: Introductionmentioning

confidence: 99%

“…[26][27][28][29][30] Since the combustion is performed in a closed system, aer digestion, analytes were quantitatively absorbed in a suitable absorbing solution and analyte losses are negligible, including volatile elements. 26,27,31,32 Contrarily to other combustion methods, MIC conveniently incorporates an optional reux step aer digestion by the continuous application of microwave radiation that signicantly improves analyte recovery. 30,33 For this aim, MIC was optimized regarding the sample mass and absorbing solution and was applied for variable petroleum coke samples.…”

Section: Introductionmentioning

confidence: 99%