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Journal of Zhejiang University. Science. B logoLink to Journal of Zhejiang University. Science. B
. 2012 Jul;13(7):525–532. doi: 10.1631/jzus.B1100389

Recent developments in the detection of melamine*

Yuan Liu 1,, Ewen E D Todd 2, Qiang Zhang 1, Jiang-rong Shi 1, Xian-jin Liu 1
PMCID: PMC3390710  PMID: 22761244

Abstract

In recent years, there were two reported outbreaks of food borne illness associated with melamine. The presence of melamine and its related compounds in milk, feed, and other foods has resulted in the need for reliable methods for the detection and accurate quantification of this class of contaminants. The sample pretreatment for melamine in a complex matrix usually involves a liquid extraction by a polar solvent, followed by a further clean-up with solid phase extraction. Analyses of melamine and related compounds are commonly carried out by liquid or gas chromatographic methods conjugated with mass spectrometry. Other innovative screening methods, which use antibodies, molecularly imprinted polymers, capillary electrophoresis, and gold nanoparticles, are also used to develop assays and biosensors to melamine. However, many of these methods have been hindered by matrix effects, the solubility of melamine-cyanuric acid complex, and background contamination. This article reviews recent developments for detecting melamine and discusses future directions.

Keywords: Melamine, Detection, Confirmation methods, Screening methods, Sample pretreatment

1. Introduction

In recent years, there were two reported outbreaks of food borne illness associated with melamine-contaminated food. In March 2007, pet food ingredients contaminated with melamine and its analogues ammeline, ammelide, and cyanuric acid (Fig. 1) resulted in a major outbreak of renal disease and associated deaths in cats and dogs in the United States. As a result, several major companies have recalled more than 5 300 pet food products (FDA, 2009b). In September 2008, Sanlu and 21 other diary companies in China were selling milk and infant formula that had been contaminated with melamine, which leads to kidney stones and renal failure. By November 2008, nearly 300 000 people had become ill, and six infants died. The situation has since become an international health scare (Look Back '08:10 Big Events in CHINA (II), 2008). It was determined that melamine had been deliberately added to pet food and raw milk to give the false appearance of a high level of protein. Melamine alone is of low toxicity; however it is able to form an insoluble complex with cyanuric acid, which can lead to kidney toxicity.

Fig. 1.

Fig. 1

Structures of melamine, ammeline, ammelide, and cyanuric acid

The World Health Organization (WHO) has recommended the tolerable daily intake (TDI) for melamine to be 0.2 mg melamine per kg of body mass. Meanwhile, maximum residue levels (MRLs) for melamine have also been set worldwide. In China and the US, the MRL for infant formula has been set at 1.0 mg/kg and at 2.5 mg/kg for milk and other milk products, while in Europe, the Food Safety Authority has set the limit to 2.5 mg/kg for all products containing greater than 15% milk (WHO, 2009b).

Considering the presence of melamine in milk and animal feeds, and their possible contamination in other foods, there is a need for establishing sensitive and reliable methods that are capable of screening samples and confirming the presence and quantities of melamine and other metabolites. This article aims to review the recent detection methods for melamine and its related compounds in different matrices.

2. Sample pretreatment

The strategies of sample pretreatment depend on the different matrixes and the selective abilities of detection methods. Melamine (2,4,6-triamino-1,3,5-triazine; C3H6N6; relative molecular weight (M W): 126.12) is a small molecular compound with a polar compound. The sample pretreatment for melamine usually involves liquid extraction by a polar solvent, and some complex matrixes also require further clean-up with solid phase extraction (SPE) (WHO, 2009a). The solution for melamine extraction includes a mixture of acetonitrile/water/diethylamine (50:40:10, v/v) solution in feed (Squadrone et al., 2010), kidney (Filigenzi et al., 2008), and milk (Miao et al., 2009), and trichloroacetic acid solution (some coupled with lead acetate) in milk or milk-based products (Ibáñez et al., 2009; Sun H.W. et al., 2010) and eggs (Xia et al., 2009). Some have also reported using methanol (Venkatasami and Sowa, 2010) or hydrochloric acid (Wei et al., 2010) to extract melamine from matrixes. The organic solutions or acids are used to extract melamine and precipitate protein in the samples to reduce the interference caused by the sample matrix. Diethylamine is used to maintain the extraction solvent at an alkaline pH to prevent melamine and cyanuric acid from forming an insoluble salt of melamine cyanurate (Miao et al., 2009). Some tissue samples also require dichloromethane (Andersen et al., 2008) or hexane (Karbiwnyk et al., 2009) to act as a defatted reagent. Mixed-mode cation exchange solid-phase extraction cartridges are the most popular cleaning-up method for melamine samples. However, some highly selective methods (Yang S.P. et al., 2009) or nondestructive methods (Mauer et al., 2009) do not require any pretreatment before detection.

3. Confirmation methods

Some recent publications of instrumental methods for analysis of melamine and related compounds are summarized and compared in Table 1.

Table 1.

Liquid and gas chromatographic methods for detecting melamine and related compounds

Method Matrix Analyst LOD (mg/kg) Comments Reference
LC-MS/MS Human urine MEL, CYA 0.00066 Cation-exchange solid-phase extraction Panuwet et al., 2012
LC-MS/MS Rat plasma, liver, kidney, spleen, bladder, and brain MEL 0.00560–0.0083l Evaluated matrix effect of biological samples; background contamination was observed Wu et al., 2009
LC-MS/MS Milk-based products and other food and beverage products MEL 0.01–0.10 Ion-pair liquid chromatography; no SPE clean-up step Ibáñez et al., 2009
LC-MS/MS Milk and dairy products MEL, CYRO 10 Purified by Waters Oasis MCX column Feng et al., 2008
LC-MS/MS Kidney tissue MEL, AMD, AML, CYA 0.092–0.140 Validated by analysis of samples fortified with MEL-CYA powder; multi-residue analysis; polar RP column Filigenzi et al., 2008
LC-MS/MS Catfish, trout, tilapia, salmon, and shrimp MEL 0.0032 Hydrophilic interaction chromatography; MEL was determined in fish dosed with MEL and a combination of MEL and CYA Andersen et al., 2008
LC-MS/MS Porcine muscle MEL 0.0017 Separated by ether-linked phenyl column Filigenzi et al., 2007
LC-MS Catfish, pork, chicken, and pet food MEL, CYA 0.01 Ion exchange solid phase clean-up Varelis and Jeskelis, 2008
HPLC-DAD Milk and diary products MEL 0.035–0.110 Separated by Nucleosil C8 column Filazi et al., 2012
HPLC-DAD Liquid milk MEL 0.018 Purified by Cleanert PCX-SPE cartridges; separated by C18 column Sun H.W. et al., 2010
HPLC-DAD, LC-MS/MS Plant origin protein powder MEL 10 and 0.5 HPLC-DAD for screening; LC-MS/MS for confirmation Ding et al., 2008
HPLC-DAD Rice protein concentrate feeds MEL, AMD, AML, CYA 55–113 Separated by polar selectivity column; eight validation data Muñiz-Valencia et al., 2008
HPLC-UV Infant formula MEL 0.1 Acetonitrile-free; Kromasil C18 column Venkatasami and Sowa, 2010
HPLC-UV Diary products MEl 0.003 HILIC; NH2 column Zheng et al., 2012
HPLC-UV Cereal flours MEL, AMD, AML, CYA 5–90 Multi-residue analysis; the formation of MEL-CYA was prevented by alkaline conditions Ehling et al., 2007
GC-MS/MS Milk and milk products MEL, AMD, AML, CYA 0.002 Multi-residue analysis Miao et al., 2009
GC-MS Milk products MEL 0.0003 Zirconia hollow fiber sorptive microextration; simple and solvent free pretreatment Li et al., 2009
GC-MS Liquid milk and milk powder MEL 0.01 Coupled column separation; no derivatization step Xu et al., 2009
GC-MS Eggs MEL 0.01 SPE pretreatment Xia et al., 2009

LC: liquid chromatography; MS: mass spectrometry; HPLC: high performance liquid chromatography; DAD: diode array detection; UV: ultraviolet; GC: gas chromatography; MEL: melamine: CYA: cyanuric acid; CYRO: cyromazine; AML: ammeline; AMD: ammelide; LOD: limit of detection; SPE: solid phase extraction; MCX: mixed-mode cation exchange sorbent for bases; RP: reverse phase; PCX: polymer based cation exchange cartridge; HILIC: hydrophilic interaction chromatography

3.1. Liquid chromatographic (LC) methods

In most laboratories, melamine and its metabolites are routinely separated by LC and detected by selective techniques. Tandem mass spectrometry (MS/MS) provides the highest degree of selectivity, followed by single-stage MS, diode array detection (DAD), and lastly ultraviolet (UV) absorption.

An interim method for the determination of melamine and cyanuric acid residues in foods using LC-MS/MS was proposed by the Food and Drug Administration (FDA) at levels of 0.25 mg/kg in infant formula and other dairy-containing food products or ingredients (FDA, 2009a). In 2008, a national standard method for rapid determination of melamine in raw milk using LC-MS/MS has been issued in China with the limit of detection (LOD) of 50 μg/kg (AQSIQ and SAC, 2008c).

In the early studies, an analysis method was developed as a degradation product of the cyromazine (CYRO) and S-triazine herbicides. Since the 2007 pet food recall, LC method has been more widely applied to detect melamine in feed samples. Due to the polar features of melamine, it is difficult to obtain sufficient retention time by the traditional C18 column (Ehling et al., 2007). Many methods utilize ion-exchange (Varelis and Jeskelis, 2008), ion pair chromatography (Ibáñez et al., 2009), or hydrophilic interaction chromatography (HILIC) (Andersen et al., 2008; Heller and Nochetto, 2008) to overcome these issues. Considering the potential for high concentrations of melamine and cyanuric acid to form crystals in tissues, it is necessary to detect melamine and its relate compounds in combined crystals (Filigenzi et al., 2008). Dane and Cody (2010) also designed a method by using direct analysis in real time (DART) MS to eliminate the interference from 5-hydroxymethylfurfural with direct analysis of melamine in powdered milk.

3.2. Gas chromatographic (GC) methods

GC is another common confirmation method used to analyze melamine and related compounds, since the instruments are relatively cheap to maintain and use. However, since melamine is a strong polar substance, it usually needs an extra derivatization step with three methyl silanized reagents in a sample pretreatment phase.

In 2007, the FDA developed a GC-MS screening and confirmation method for the presence of melamine, ammeline, ammelide, and cyanuric acid (Smoker and Krynitsky, 2008). In 2008, the Chinese government issued two national standards to determine melamine in raw milk, diary products (AQSIQ and SAC, 2008b), and plant products (AQSIQ and SAC, 2008a) by GC-MS and GC-MS/MS methods.

Miao et al. (2009) described a method to simultaneously determine the presence of melamine, ammelide, ammeline, and cyanuric acid in milk and milk products by GC-MS/MS. Xu et al. (2009) determined melamine in milk products by GC-MS with a coupled capillary column system with a limit detection of 0.01 mg/kg. In addition, hollow fiber sorptive extraction (HFSE) followed by GC-MS was developed for the determination of melamine residues from milk products (Li et al., 2009).

4. Screening methods and other techniques

In most cases, the type of method selected will depend on cost, labor, and the available facilities. Alternatives to costly chromatographic methods include cheaper screening methods, which have sufficient sensitivity and selectivity for melamine and have also been developed. Immunological assays, capillary electrophoresis (CE), molecularly imprinted polymer (MIP), and some visual detection are the most popular screening methods for melamine. These methods are compared in Table 2.

Table 2.

Some screening methods and other techniques for analyses of melamine and related compounds

Method Matrix Analyst LOD (mg/kg) Comments Reference
FPIA Milk MEL 0.0093 Fluorescence polarization immunoassay Wang et al., 2011
ELISA Animal muscle tissues MEL, CYA 0.0018 (MEL); 0.0045 (CYA) Hapten synthesis Liu et al., 2010
ELISA MEL standard MEL 0.0026 Hapten synthesis Lei et al., 2010
ELISA Dog food MEL 0.009 Commercial kit Garber, 2008
MIPES Milk MEL 8.82×10−5 High sensitivity Li et al., 2011
MIPCD Liquid milk and milk powder MEL 0.02 The 96-well micro-plate was modified with sol-gel film Yu et al., 2009
CE-MS Milk powder MEL, AML, AMD, CYA 0.0022‒0.0194 Mass spectrometric detection Huang et al., 2012
CE-UV Infant formula MEL 0.0005 and 0.0092 Two on-line preconcentration steps Tsai et al., 2009
CZE-DAD Egg, dairy products and pet feed MEL, AML, AMD, CYA 0.045‒0.342 Without solid phase extraction step Xia et al., 2010
Ag NP MEL Raw milk 0.292 Label-free silver nanoparticles as a probe Ping et al., 2012
Au NP Milk MEL 0.006 Based on the 18-crown-6 ether functionalized Au NP Kuang et al., 2011
Au NP Milk MEL 0.04 Colorimetric visual detection, label-free Au NP Wei et al., 2010
Microfluidic device Milk products MEL 0.23 No sample pretreatment, UV detection Zhai et al., 2010

FPIA: fluorescence polarization immunoassay; ELISA: Enzyme-linked immunosorbent assay; MIPES: molecularly imprinted polymer-electrochemical sensor; MIPCD: molecularly imprinted polymer-chemiluminescence detection; CE: capillary electrophoresis; MS: mass spectrometry; UV: ultraviolet; CZE: capillary zone electrophoresis; DAD: diode array detection; NP: nanoparticle; MEL: melamine; CYA: cyanuric acid; AML: ammeline; AMD: ammelide; LOD: limit of detection

4.1. Enzyme-linked immunosorbent assay (ELISA)

ELISA is a good screening method used for large amounts of samples because of its simplicity and low cost. Liu et al. (2010) and Lei et al. (2010) separately reported the synthesis of different haptens and production of polyclonal antibodies to melamine, the half maximal inhibitory concentration (IC50) values of the two types of antibodies are 13 and 70.6 ng/ml, respectively. Wang et al. (2011) developed a fluorescence polarization immunoassay (FPIA) for the determination of melamine in milk with the LOD of 9.3 ng/ml. In addition, commercial ELISA kits based on melamine antibodies are also available (Garber, 2008; Kim et al., 2008). The sensitivities of many ELISA methods are equivalent or even superior to LC methods. However, most of the antibodies show cross reactivity to the structure of related compounds of melamine; therefore, the positive samples need be rechecked by a confirmation method.

4.2. Molecularly imprinted polymer (MIP)

In recent years, MIP has been used to select melamine in the pretreatment step due to its molecular recognition functions. Yang H.H. et al. (2009) prepared MIPs with high affinity to melamine and used them to selectively extract melamine in dairy products and feed samples. Yu et al. (2009) also prepared a 96-well micro-plate modified with molecularly imprinted melamine sol-gel film, by which the highly selective and high throughput chemiluminescence detection of melamine was achieved. The linear range of detection for melamine was between 0.1‒50 mg/kg, with a lower detection limit of 0.02 mg/kg.

4.3. Capillary electrophoresis (CE)

Melamine can also be separated using CE, which is an efficient and cost-effective analytical method for small molecules with many advantages, including minimum sample and reagent consumption, and fast separation speed. The pretreatment steps for melamine in milk and other matrices are quite simple since they do not require the SPE step after extraction. However, if the method was coupled with the commonly used UV detection, the detection sensitivity and reproducibility would become a problem (Tsai et al., 2009).

4.4. Visual detection

Melamine could decrease the stability of citrate-stabilized gold nanoparticles (Au NPs), thus causing dramatic and visible color changes and indicating the presence of melamine. Guo et al. (2010) and Wei et al. (2010) have reported using the label free Au NPs to detect melamine in milk with a simple sample preparation step. The aggregation of Au NPs could be visually detected after several seconds; however, many compounds could cause the aggregation of Au NPs. To increase the specificity of the method, Wei et al. (2010) introduced the cyanuric acid to the detection system and used the dual signal readout to determine melamine. In addition to Au NPs, silver nanoparticles (Ag NPs) could also be used for visual detection of melamine (Ping et al., 2012). Although, the sensitivity and specificity of visual detection are not as precise as chromatographic methods, the results can be directly observed by the naked eye, therefore offering a simple and promising method to be used for on-site screening melamine contamination in milk products or at home diagnosis.

4.5. Other alternative methods

Some other methods by electrochemical, spectrophotometric, and nondestructive detection have also been used to develop assays or biosensors to melamine. Cao et al. (2009) reported a novel electrochemical method, which used interaction between d(T)20 and melamine. This method was applied successfully to the determination of melamine in milk products with a recovery of 95%. A spectrophotometric method based on the Mannich reaction has been reported for melamine detection. The method was tested to determine the level of melamine in a contaminated fish sample with a recovery value and LOD of 97% and 0.063 μg/ml, respectively (Rima et al., 2009). Mauer et al. (2009) also described a nondestructive and rapid method to detect melamine in infant formula powder using near- and mid-infrared spectroscopy with an LOD of 1 mg/kg with little to no sample preparation. Raman spectrometry is another rapid and cost effective method for the rapid screening of melamine with minimum sample preparation (Lin et al., 2008; Cheng et al., 2010).

5. Conclusions

Nowadays, there are a lot of methods available to detect melamine and its related compounds (Sun F.X. et al., 2010; Tittlemier, 2010). They included some highly selective confirmation methods and rapid screening methods. Currently, LC and GC conjugated with mass detection are the most powerful confirmation methods to analyze melamine and related compounds. However, these methods can be expensive and time-consuming, and often require sample pretreatment to extract analytes and eliminate matrix effects. Rapid screening methods like ELISA are faster and less expensive than the traditional instrumental methods, but the positive samples from these screening methods must be confirmed by selective methods, for their lack of selective ability of mass-based detections. Newer technologies such as biosensor and nondestructive methods are also becoming available, with sufficient sensitivity and specificity to enable rapid on-site screening with or without simple pretreatment.

Even so, there are some common difficulties with melamine analysis, such as the matrix effects (Wu et al., 2009), solubility of melamine-cyanuric acid complex (Filigenzi et al., 2008), and background contamination, and some existing detection methods still need to be validated. The future work should focus on resolving these difficulties and establishing mobile, simple, and reliable screening methods, which could be used outside the laboratories and operated by someone who is not a technician (WHO, 2009a). Establishing protein detection methods, which are not affected by melamine and its metabolites, is another approach to prevent the risk of melamine to human (Field and Field, 2010).

Footnotes

*

Project supported by the National Natural Science Foundation of China (No. 30871658) and the “948” Project of the Ministry of Agriculture of China (Nos. 2011-Z46 and 2011-G5-7)

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