Determination of organochlorine pesticide residues in pasteurized and sterilized milk using QuEChERS sample preparation followed by gas chromatography–mass spectrometry

Application of QuEChERS for Analysis of Contaminants in Dairy Products: A Review

The safety of dairy products is intrinsically linked to consumer health, and the exceedance of risk indicators, such as pesticide and veterinary drug residues, constitutes one of the primary issues affecting their quality and safety. To assess the safety of dairy products, it is crucial to develop accurate and reliable analytical methods for their detection. Food safety testing involving important indicators such as pesticide residues, veterinary drug residues, mycotoxins, and unapproved additives has become a pivotal requirement in the industry field. The QuEChERS (Quick, Easy, Cheap, Effective, Rugged, Safe) method is widely acknowledged as a food safety analysis method currently. This method can effectively extract a wide range of compound classes from diverse matrices in food safety testing, thereby enhancing the accuracy of detection. Additionally, when combined with chromatographic-mass spectrometry techniques, it can simultaneously analyze hundreds of target analytes, rendering it widely applicable in the quality and safety testing of dairy products. Although QuEChERS has rapidly developed in the field of dairy product quality and safety analysis due to its efficiency and speed advantages, certain shortcomings remain, presenting considerable room for improvement. This paper presents a comprehensive review of the utilization and research advancements of the QuEChERS technique in dairy products, with the aim of providing more precise, expeditious, and reliable methods for the safety assessment of dairy products.

Pesticide residues in animal-derived food: Current state and perspectives

Pesticides are widely used in the cultivation and breeding of agricultural products all over the world. However, their direct use or indirect pollution in animal breeding may lead to residual accumulation, migration, and metabolism in animal-derived foods, posing potential health risks to humans through the food chain. Therefore, it is necessary to detect pesticide residues in animal-derived food using simple, reliable, and sensitive methods. This review summarizes sample extraction and clean-up methods, as well as the instrumental determination technologies such as chromatography and chromatography-mass spectrometry for residual analysis in animal-derived foods, including meat, eggs and milk. Additionally, we perspectives on the future of this field. This information aims to assist relevant researchers in this area, contribute to the development of ideas and novel technical methods for residual detection, metabolic research and risk assessment of pesticides in animal-derived food.

Measurement of polychlorinated biphenyls in different high consumption canned foods, using the QuEChERS/GC-MS method

Polychlorinated biphenyls (PCBs) are organic pollutants containing chlorine, which can be carcinogenic to humans. The current research focused on the heart risk and determination of PCBs levels in canned foods using the modified QuEChERS (fast, easy, cheap, effective, resistant and safe) method and gas chromatograph/mass spectrometer (GC-MS) technique. In this study, LOD (limit of detection), LOQ (limit of quantification), and recovery ranged from 0.06 to 0.32, 0.18 to 1.07 ng/g, and 97.05 to 102.5 %, respectively. In canned foods, the highest median of PCBs was PCB 52 (0.27 ± 0.20 ng/g fat) and the lowest median were PCB 28 and 138 (not detected in samples). Also, the maximum median of PCB 28, 52, 101, 138, 153, and 180 were detected in eggplant samples (0.06 ng/g), haricot samples (0.49 ng/g), eggplant samples (0.36 ng/g), eggplant samples (0.19 ng/g), eggplant samples (0.11 ng/g) and lentiform samples (0.66 ng/g), respectively. The median PCBs levels of oral exposure were estimated to be in the range of 9.80E-07to 4.30E-05 ng/g.d for all population groups, which were meaningfully lesser than the Tolerable daily intake value. The Monte Carlo simulation (MCS) outcomes indicated that the rank order of PCBs in adults based on incremental lifetime cancer risk (ILCR) was Lentiform (7.05E-8) > canned fish (5.73E-8) > Eggplant (5.38E-8) > Haricot (4.33E-8) > pasta source (2.06E-8); and in children was Lentiform (3.40E-7) > canned fish (2.72E-7) > Eggplant (2.44E-7) > Haricot (2.06E-7) > pasta source (9.83E-8). The median values of the ILCR induced oral exposure for all groups were within safe limits (lower than 10-6). The heat map and multivariate principal component analysis (PCA) showed significantly different contributions of PCBs profile in samples as the PCA axis scores were correlated with the type of cans. Based on the obtained outcomes, it can be concluded that the PCBs of canned food do not potential health risks to Iranian consumers.

Analysis of polychlorinated biphenyls (PCBs) in dairy products by modified QuEChERS/GC-QqQ-MS/MS method: A risk assessment study

Polychlorinated biphenyls (PCBs) are harmful chemicals that are persistent in the environment and can accumulate in the food chain. The purpose of the present research was to assess non-dioxin-like polychlorinated biphenyls (NDL-PCBs) in some dairy products (yogurt, doogh, and kashk) using modified QuEChERS (Quick, Easy, Cheap, Effective, Rugged, and Safe) technique and gas chromatography-triple-quadrupole mass spectrometry (GC-QqQ-MS/MS) method and risk assessment study. The LOQs (limit of quantifications), LODs (limit of detections), recovery, and RSD for the PCB analytes were 0.180-0.360, 0.06-0.12 ng/g fat, 97.45-102.63%, and 6.33-8.86%, respectively. The results revealed that the mean concentrations of Ʃ6-NDL-PCBs in samples were 15.17 ± 3.44 ng/g fat, which was lower than the standard level established by European Union (EU, 40 ng/g fat). The maximum mean level was PCB 180 (9.98 ± 2.04 ng/g fat) and the minimum mean level of PCBs in samples was PCB 28 (0.09 ± 0.06 ng/g fat). Also, results showed that kashk samples had a maximum mean level of 6-NDL-PCBs (18.66 ± 2.42 ng/g fat) and doogh samples had a minimum mean level of 6-NDL-PCBs (12.21 ± 2.22 ng/g fat). The mean level of 6-NDL-PCBs in yogurt samples was 14.65 ± 2.02 ng/g fat. The heat map results showed the correlation between the spectral indices of 6-NDL-PCBs in different dairy products. According to the Monte Carlo method, risk assessment was done using calculating the Estimated Daily Intake (EDI) and Incremental Life Cancer Risk (ILCR). The EDI values of 6 NDL-PCBs based on the 95th percentile in yogurt, doogh, and kashk were 14.3, 1.49, and 0.5 ng/kg.day, respectively. Considering that the contaminant level in the samples is lower than the EU limit, it can be concluded that dietary exposure to 6 NDL-PCBs may not pose a risk to the health of consumers.

Determination of multi-class pesticides residues of cow and human milk samples from Iran using UHPLC-MS/MS and GC-ECD: A probabilistic health risk assessment

Raw, pasteurized, powdered cow milk and human milk samples from Tehran, Iran were investigated for the residual of fifty pesticides with the aid of gas chromatography coupled with electron capture detector (GC-ECD) and mass detector for confirmation; and ultra-high performance liquid chromatography-tandem mass spectroscopy (UHPLC-MS/MS). No pesticide residue was determined in more than 91% of examined samples. However, the dimethoate residue was detected in 3 raw milk samples in levels higher than EU recommended MRL. While in 3 human milk samples, organochlorine pesticides residue, p,p'-DDT, and p,p'-DDD was recognized below MRLs, only in 1 human sample residue of p,p'-DDE was more than CODEX recommended MRL. HI in adults and children were 0.72 and 3.55, respectively. However, the health risk assessment based on HI demonstrated that adult consumers are not at considerable risk. The HI, higher than 1 in children, confirms the risks raised due to ingestion of organochlorine (OCP) and organophosphorus (OPP) pesticides via milk consumption. In addition, no carcinogenic risk to milk consumers was calculated. Therefore, implementation of good farming practices on farms, improving the knowledge and consciousness of pesticide users, use other safe methods for pest control such as biotechnology-based, and use a rational program for application of pesticides, continuous monitoring of pesticides in crops, and strict government regulations on pesticide residues in food are recommended.

S. M. Montenegro MC, Rodríguez-Díaz JM. Contaminants in the cow's milk we consume? Pasteurization and other technologies in the elimination of contaminants

Cow's milk is currently the most consumed product worldwide. However, due to various direct and indirect contamination sources, different chemical and microbiological contaminants have been found in cow's milk. This review details the main contaminants found in cow's milk, referring to the sources of contamination and their impact on human health. A comparative approach highlights the poor efficacy and effects of the pasteurization process with other methods used in the treatment of cow's milk. Despite pasteurization and related techniques being the most widely applied to date, they have not demonstrated efficacy in eliminating contaminants. New technologies have appeared as alternative treatments to pasteurization. However, in addition to causing physicochemical changes in the raw material, their efficacy is not total in eliminating chemical contaminants, suggesting the need for new research to find a solution that contributes to improving food safety.

The Chemical Compounds from Degradation of Profenofos and Malathion by Indigenous Bacterial Consortium

The Indonesian Pesticide Regulations state that Malathion and Profenofos have been restricted in their use for agriculture because of is bioaccumulative in ecological systems. Cleaning technology using microorganisms is an effective solution for cleaning pesticide residues. This study aims to identify the bacteria that degrade and the degradation process of Malathion and Profenophos into non-toxic compounds. The research method was experimental, identification of bacteria by 16S-rRNA gene analysis, degradation ability by GC MS. The results of phylogenetic tree analysis showed that the tested bacteria were closely related to Oceanobacillus iheyenis (RPL1) and Exiquobacterium profundum (RPL5) with a similarity level of 87% and 99%. The two bacteria are used as a consortium of test bacteria. The results of degradation based on the observation chromatogram T = 0 showed that the Malathion compound C10H19O6PS2 or butanedioic acid [(dimethoxyphosphinothioyl) thio]) was detected at peak 4, real-time = 19,675, area% = 7.37 and Profenofos compound C11H15BrClO3PSO-(4-Bromo-2-chlorophenyl)o-ethyl s-propyl thiophosphate, peak 8, real-time = 23,957, area% = 6.91. Likewise, the chromatogram results at T = 96 were still detected Malathion ((dimethoxyphosphinothioyl) thio) at peak 14, real-time = 19,675, area% = 2.25, and Profenofos (o- (4-Bromo-2-chlorophenyl)) o – ethyl. s – propyl thiophosphate) peak = 22 real-time = 23,951, area% = 2,2. However, the observation of T = 192 hours, Malathion and Profenofos compounds were not detected. The conclusion showed that the consortium bacteria were able to completely degrade Malathion and Profenophos within 192 hours.

Biosensing approaches to detect potential milk contaminants: a comprehensive review

Accidentally present contaminants or intentionally added adulterants in milk lead potentially to delivering not only unhealthy but seriously hazardous products. Thorough, fast and sensitive analytical tools are essential for monitoring of milk quality, and for screening of any objectionable contaminants. Biosensors represent an innovative, time-efficient and on-site solution to assess milk quality in addition to their specificity towards target analytes alongside high accuracy within such complex matrices. Most biosensors use antibodies, aptamers or enzymes as the bio-receptor and rely on optical, electrochemical or thermometric transduction to generate a signal. The simplest biosensors appear to be those based on a colorimetric assay, being simple and having a signal that can be detected visually. Electrochemical sensors are more specific and sensitive, though with more complicated designs, whereas thermometric sensors have not been thoroughly explored concerning biosensing contaminants in milk. This review discusses recent advances in the field of biosensors and analyzes the various methods of bio-recognition and transduction with regard to their advantages, limitations, and application to milk products. Additionally, challenges facing further development of these strategies to fulfil the increasing demand for fast and on-line milk quality control are also presented.

Detection of multi-class pesticide residues with surface-enhanced Raman spectroscopy

The excessive use of pesticides disturbs the natural balance in the environment, creates resistance to pesticides and leads to water and food contamination. Therefore, the implementation of fast, robust and cost effective techniques for the monitoring of pesticides is required. In this work surface-enhanced Raman spectroscopy (SERS) was used for the detection of four common pesticides: atrazine, simazin, irgarol, and diuron. SERS is nowadays considered an effective technique for detection of various analytes in low concentration. Sensitivity of the SERS method depends on the type of substrate that can be either a colloidal solution of metal nanoparticles (NPs) or a metal surface with a suitable nanostructured topology. Here, we have investigated the application of silver nanospheres and silver nanoprisms as SERS substrates in pesticides detection. Colloids with spherical NPs were produced by chemical reduction while Ag nanoprisms were prepared by reducing silver nitrate with borohydride (with citrate as a stabilizing agent) and stirring under a UV lamp for 4 and 10 h. The SERS results have shown that, in the presence of synthesized NPs, it was possible to detect millimolar concentrations of aforementioned pesticides with the exception of diuron.

Quantification of spinosyn A and spinosyn D in animal-derived products using multiwalled carbon nanotubes coupled with LC-MS/MS for analysis

An analytical method was developed for the quantification of spinosad (sum of spinosyns A and D) in five animal-derived products (chicken breast, pork, beef, egg, and milk) using LC-MS/MS. The sample was extracted using acetonitrile/1% acetic acid and a combination of magnesium sulfate and sodium acetate salts. The sample was purified using multiwalled carbon nanotubes as sorbent via a dispersive-solid-phase extraction procedure. Matrix-matched calibration (seven-point) provided good linearity with coefficient of determination (R² ) ≥0.99 for each product. The limits of detection and quantification (LOQs) ranged between 0.0003-0.03 and 0.001-0.1 mg/kg, respectively. Method validation was carried out after spiking the target standard to blank matrices at the concentration levels of LOQ, 2 × LOQ, and 10 × LOQ with three replicates for each. The average recoveries were between 74 and 104%, with relative standard deviations ≤9.68, which were within the acceptable range designated by the international organizations. The developed method was successfully applied for monitoring market samples collected throughout the Korean Peninsula, and none of the samples tested positive for the target analytes. It has therefore been shown that dehydration and acidification were effective to extract spinosad from animal-derived products.