A Simple HPLC‐DAD Method for the Analysis of Melamine in Protein Supplements: Validation Using the Accuracy Profiles

Montesano, Domenico; Gennari, Oriella; Festa, Carmen; Zollo, Franco; Seccia, Serenella; Albrizio, Stefania

doi:10.1155/2013/239342

Cited by 8 publications

(3 citation statements)

References 47 publications

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“…Kecurangan tersebut didukung lemahnya uji kandungan protein yang terdapat dalam bahan pangan maupun bahan pakan. Sampai saat ini uji kadar protein nonspesifik ditentukan melalui pengukuran nitrogen dengan metode uji standar seperti Kjeldahl (Montesano et al, 2013). Menurut Cheng et al, (2010), meskipun toksisitas oral melamin dinyatakan rendah namun dapat mengakibatkan kerusakan pada ginjal jika bereaksi dengan asam sianurat di dalam tubuh.…”

Section: Pendahuluanunclassified

Melamine, Asam Suanurat dan Melamin-Sianurat: Kaitan dengan Penyakit Saluran Perkencingan Hewan

Yanuartono¹,

Nururrozia²,

Indarjulianto³

et al. 2019

Jurnal Sain Veteriner

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Numerous cases of acute renal failure in dogs and cats from 2004-2007 were associated with the ingestion of dog and cat pet food products and the suspected contaminant was identified as melamine and its derivatives such as cyanuric acid and melamine cyanurate. Melamine is a chemical used primarily for the manufacture of plastics, coatings, commercial filters, adhesives and compounds in the plate-making industry and kitchen appliance.But then these compounds have been abused to increase the content of nitrogen compounds in human food products and animal feed products, respectively. Increasing the content of nitrogen compounds from melamine aims to increase the value of false protein food and feed. Melamine basically has a wide security limit so it is relatively non-toxic if consumed by humans and animals. However, many studies and case reports show that melamine can cause damage to the kidneys especially if present together with cyanuric acid in the body.This paper aims to provide a simple overview and discussion in cases of damage to the urinary tract in dogs and cats that are likely caused by toxicity of melamine and its derivatives are likely to have occurred in Indonesia.

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Section: Pendahuluanunclassified

Melamine, Asam Suanurat dan Melamin-Sianurat: Kaitan dengan Penyakit Saluran Perkencingan Hewan

Yanuartono¹,

Nururrozia²,

Indarjulianto³

et al. 2019

Jurnal Sain Veteriner

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“…Melamine detection is commonly conducted through various techniques, including high-performance liquid chromatography (HPLC) [5,6], gas chromatography/mass spectrometry (GC/MS) [7,8], surface-enhanced Raman spectroscopy [9], and fluorescence spectroscopy [10]. Despite offering excellent selectivity, sensitivity, and accuracy, these methods are characterized by their complexity, high cost, time-intensive procedures, and the need for specialized operations.…”

Section: Introductionmentioning

confidence: 99%

Enhancement in Sensitivity and Selectivity of Electrochemical Technique with CuO/g-C3N4 Nanocomposite Combined with Molecularly Imprinted Polymer for Melamine Detection

Limthin,

Leepheng,

Tunhoo

et al. 2024

Polymers

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This study focused on enhancing the sensitivity and selectivity to detect melamine by utilizing a photoelectrochemical method. This was achieved by combining a melamine-imprinted polymer with a CuO/g-C3N4 nanocomposite, which was synthesized through chemical precipitation and calcination. The resulting nanocomposite exhibits improved carrier mobility and photoelectrochemical properties. A molecularly imprinted receptor for selective detection was created through bulk polymerization with methacrylic acid and a melamine template. The characterization of the nanocomposite was performed using X-ray photoelectron spectroscopy for the chemical oxidation state, X-ray diffraction patterns for the crystalline structure, and ultraviolet/visible/near-infrared spectroscopy for optical properties. The CuO/g-C3N4 nanocomposite exhibits photoactivity under visible light. The modified electrode, incorporating the CuO/g-C3N4 nanocomposite and melamine-imprinted polymer, demonstrates a linear detection range of 2.5 to 50 nM, a sensitivity of 4.172 nA/nM for melamine, and a low detection limit of 0.42 nM. It shows good reproducibility and high selectivity to melamine, proving effective against interferences and real samples, showcasing the benefits of the molecularly imprinted polymer.

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“…Typically, destructive chemical techniques, such as high-performance liquid chromatography (HPLC) [13], enzyme-linked immunosorbent assays (ELISAs) [14], zwitterionic hydrophilic interaction chromatography and tandem mass spectrometry [15], liquid chromatography-tandem mass spectrometry [16], and hydrophilic interaction liquid chromatography-ultraviolet detection (HILIC-UV) with an NH 2 column [17], are used as conventional methods for detecting melamine or cyanuric acid in human foods and animal feed. Additionally, Montesano [18] used diode array detection technology (DAD) in conjunction with HPLC to examine the presence of melamine in protein supplements, with a high detection limit of 0.05-3.0 mg kg −1 . These methods support the highest detection limits; however, the real-time monitoring of food and feed components is extremely challenging owing to their time-consuming, damaging, and complex sample preparation characteristics.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Quantitative Assessment of Melamine and Cyanuric Acid in Pet Food Using Fourier Transform Infrared Spectroscopy

Joshi

Faqeerzada

et al. 2023

Sensors

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Melamine and its derivative, cyanuric acid, are occasionally added to pet meals because of their nitrogen-rich qualities, leading to the development of several health-related issues. A nondestructive sensing technique that offers effective detection must be developed to address this problem. In conjunction with machine learning and deep learning technique, Fourier transform infrared (FT-IR) spectroscopy was employed in this investigation for the nondestructive quantitative measurement of eight different concentrations of melamine and cyanuric acid added to pet food. The effectiveness of the one-dimensional convolutional neural network (1D CNN) technique was compared with that of partial least squares regression (PLSR), principal component regression (PCR), and a net analyte signal (NAS)-based methodology, called hybrid linear analysis (HLA/GO). The 1D CNN model developed for the FT-IR spectra attained correlation coefficients of 0.995 and 0.994 and root mean square error of prediction values of 0.090% and 0.110% for the prediction datasets on the melamine- and cyanuric acid-contaminated pet food samples, respectively, which were superior to those of the PLSR and PCR models. Therefore, when FT-IR spectroscopy is employed in conjunction with a 1D CNN model, it serves as a potentially rapid and nondestructive method for identifying toxic chemicals added to pet food.

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A Simple HPLC‐DAD Method for the Analysis of Melamine in Protein Supplements: Validation Using the Accuracy Profiles

Cited by 8 publications

References 47 publications

Melamine, Asam Suanurat dan Melamin-Sianurat: Kaitan dengan Penyakit Saluran Perkencingan Hewan

Melamine, Asam Suanurat dan Melamin-Sianurat: Kaitan dengan Penyakit Saluran Perkencingan Hewan

Enhancement in Sensitivity and Selectivity of Electrochemical Technique with CuO/g-C3N4 Nanocomposite Combined with Molecularly Imprinted Polymer for Melamine Detection

Deep Learning-Based Quantitative Assessment of Melamine and Cyanuric Acid in Pet Food Using Fourier Transform Infrared Spectroscopy

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