Screening and confirmatory methods for the detection of heavy metals in foods

Arduini, Fabiana; Palleschi, Giuseppe

doi:10.1533/9780857098917.1.81

Cited by 2 publications

(2 citation statements)

References 97 publications

(81 reference statements)

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“…SEADs (Figure 1) consist of 3 major compo nents: (1) an electrochemical sensor, (2) a wireless potentiostat, and (3) smartphone com munication and connection technology. The electrochemical sensors are fabricated and modified by nanomaterials to detect specific heavy metal ions from redox reactions, involving electrons transferred between electrodes in an electrolyte [18,19], and are remarkable for their high precision, selectivity, and sensitivity. Electrochemical sensors make sophisticated laboratory experiments simple, rapid, economical, portable, and user-friendly.…”

Section: Smartphone-based Electrochemical Analytical Devices For Heavy Metal Detection (Sead)mentioning

confidence: 99%

Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection

et al. 2021

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Smartphone-Based Electrochemical Analytical Devices (SEAD) enable sophisticated toxic heavy metal quantification experiments to be conducted anywhere with high precision, selectivity, and sensitivity. However, a very limited number of such technologies are able to make the transition from the lab to the competitive B2B marketplace. The purpose of this paper is to examine the factors influencing SEAD adoption in the manufacturing industry using the Industrial Buyer Innovation Adoption (IBIA) model, which integrates B2B consumer behavior theories and technology acceptance models from the past 50 years. Analysis of data collected from 400 corporations in Thailand revealed that sellers, buyers, internal organization and invented technology advantage variables predicted industrial innovation adoption based on binary logistic regression. This research contributes to the understanding of SEAD transition from scientific knowledge to sustainable technology and diffusible innovation. The ambitious IBIA framework is potentially an alternative managerial tool for holistically assessing and creating adoptable innovative business models for new technologies.

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Section: Smartphone-based Electrochemical Analytical Devices For Heavy Metal Detection (Sead)mentioning

confidence: 99%

Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection

et al. 2021

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“…Compared with conventional methods for the detection of HMIs, electrochemical techniques that take advantage of the portable, rapid, low-priced, and inherent electrochemical activity of HMIs [2] provide a better alternative for their detection. The comparison of HMI detection with electrochemical methods and other widely used techniques is shown in Table S1 [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. The screen-printed electrode (SPE) has received wide attention for its intrinsic properties, such as small size, light weight, ease of mass production, and low cost [23], which makes it suitable for on-site rapid detection compared with the traditional glassy carbon electrode.…”

Section: Introductionmentioning

confidence: 99%

Determination of Heavy Metal Ions in Infant Milk Powder Using a Nanoporous Carbon Modified Disposable Sensor

Chen

Yao

Zhang

et al. 2023

Foods

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Due to the risk of heavy metal pollution in infant milk powder, it is significant to establish effective detection methods. Here, a screen-printed electrode (SPE) was modified with nanoporous carbon (NPC) to detect Pb(II) and Cd(II) in infant milk powder using an electrochemical method. Using NPC as a functional nanolayer facilitated the electrochemical detection of Pb(II) and Cd(II) due to its efficient mass transport and large adsorption capacity. Linear responses were obtained for Pb (II) and Cd(II) in the range from 1 to 60 µg L−1 and 5 to 70 µg L−1, respectively. The limit of detection was 0.1 µg L−1 for Pb(II) and 1.67 µg L−1 for Cd(II). The reproducibility, stability, and anti-interference performance of the prepared sensor were tested as well. The heavy metal ion detection performance in the extracted infant milk powder shows that the developed SPE/NPC possesses the ability to detect Pb(II) and Cd(II) in milk powder.

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Screening and confirmatory methods for the detection of heavy metals in foods

Cited by 2 publications

References 97 publications

Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection

Industrial Buyer Innovation Adoption Model: A Focus on a Smartphone-Based Electrochemical Analytical Device for Toxic Heavy Metal Detection

Determination of Heavy Metal Ions in Infant Milk Powder Using a Nanoporous Carbon Modified Disposable Sensor

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