Synthetic Milk Research Articles

Assessing synthetic milk through the detection of anionic detergents in milk: a concise review

Abstract The emergence of synthetic milk as a deceptive method for economic gains involves the incorporation of adulterants such as starch, urea, inexpensive vegetable oils, glucose detergent, water, and preservatives. This fraudulent mixture, seamlessly integrated with pure milk, deceives consumers by maintaining a natural taste and appearance. However, this unethical practice poses significant health risks, particularly to vulnerable demographics like children, pregnant women, and individuals with compromised immune systems. Despite being prevalent in both developed and developing countries, this deceptive practice could extend to other regions, given the global demand for milk and dairy products. Various methods exist for detecting synthetic milk, and one prominent approach involves identifying anionic detergent, which serves as a key component in the production of synthetic milk, acting as an emulsifier for vegetable oils and other ingredients. Therefore, this paper aims to provide an in-depth review of the role of detergent in synthetic milk production, highlighting the evolution of detection technologies. Additionally, a comparative analysis of the strengths and limitations of the method for identifying anionic detergent in synthetic milk is presented.

Detection of milk adulteration using coffee ring effect and convolutional neural network

A low-cost and effective method is reported to identify water and synthetic milk adulteration of cow’s milk using coffee ring patterns. The cow’s milk samples were diluted with tap water (TW), distilled water (DW) and mineral water (MW) and drop cast onto glass slides to observe coffee ring patterns. The area of the ring, total particle area and average particle diameter were extracted from these patterns. For each ring, the ratio of total particle area versus total ring area was calculated. The area ratio, regardless of water adulterants, follows an exponential model with respect to average particle diameter. Unlike TW, the ratio for DW and MW adulterated milk are clustered and classified together with respect to the particle diameter. These results were independent of dilution level and are used for adulterant classification. The ring of milk adulterated using synthetic milk gave multiple concentric rings, flower-like structures, and oil globules throughout the dilution level. An Alexnet model was used to classify water and synthetic milk adulterants in authentic milk. The trained model could achieve 96.7% and 95.8% accuracy for binary and tertiary classification respectively. These results enable us to distinguish synthetic milk from pure milk and segregate DW and MW with respect to TW adulterated milk.

Adulteration: Supply of Raw Milk and Prevalence of Adulterated / Prepared Milk

Raw milk adulteration is one of the food fraud to gain financial benefits by removing fat and cream from whole milk and compensating it by addition of different adulterants to make it near to wholesome milk. Objectives: To analyze milk adulterants to not only describe about the prevalence of different milk adulterants but also confirm the sources of adulterants being used for the synthesis of semi synthetic or prepared milk due to their characteristics which they impart to form a sort of wholesome milk. Methods: In this regard total of 190 raw milk samples from cow and buffalo sources along with control and in house standards were taken to detect most prevailing adulterants in raw milk samples through automated and/or titration based manual recommended methods. Results: The analysis of different adulterants in milk samples showed water in 148(77.89%) raw milk samples, Detergent in 62(32.9%), Cane Sugar 41(21.8%), Caustic Soda 32(16.8%), Sodium Salts 31(16.4%), Starch 21(11.1%), Formalin 18(9.4%), Urea 15(8.05%), Foreign Fat 12(6.4%), Hydrogen Peroxide 04(2.3%), Glucose 02(1.3%), Boric Acid 02(1.1%) and sulfate salts 02(1.1%) in raw milk samples. Conclusions: The assessment of quality of fresh milk showed poor quality milk with the provision of different sort of adulterants in 77.89% raw milk samples and alarming sign of semi synthetic milk in 2.63% samples.

Effects of Glucose Levels on Inflammation and Amino Acid Utilization in Lipopolysaccharide-Induced Bovine Mammary Epithelial Cells.

Glucose and amino acids are important sources of nutrients in the synthetic milk of dairy cows, and understanding the fate of amino acids is essential to optimize the utilization of amino acids in milk protein synthesis, thereby reducing nutrient inefficiencies during lactation. The purpose of this study was to investigate the effects of LPS and different concentrations of glucose on (1) the expression of inflammatory factors and genes, (2) the glucose metabolism, and (3) amino acid utilization in BMECs. The results showed that there was an interaction (LPS × glucose, p < 0.05) between LPS and glucose content in the inflammatory cytokine genes (IL-6 and TNF-α) and the inflammatory regulatory genes (CXCL2, CXCL8, and CCL5). With the addition of LPS, the HG + LPS group caused downregulated (p < 0.05) expression of IL-6 and TNF-α, compared with the LG + LPS group. Interestingly, compared with the LG + LPS group, the HG + LPS group upregulated (p < 0.05) the expression of CXCL2, CXCL8, and CCL5. LPS supplementation increased (p = 0.056) the consumption of glucose and GLUT1 gene expression (p < 0.05) and tended to increase (p = 0.084) the LDHA gene expression of BMECs under conditions of different concentrations of glucose culture. High glucose content increased (p < 0.001) the consumption of glucose and enhanced (p < 0.05) the GLUT1, HK1, HK2, and LDHA gene expression of BMECs with or without LPS incubation, and there was an interaction (LPS × glucose, p < 0.05) between LPS and glucose concentrations in GLUT1 gene expression. In this study, LPS enhanced (p < 0.05) the consumption of amino acids such as tryptophan, leucine, isoleucine, methionine, valine, histidine, and glutamate, while high levels of glucose decreased (p < 0.01) consumption, except in the case of tyrosine. For histidine, leucine, isoleucine, and valine consumption, there was an interaction (LPS × glucose, p < 0.05) between LPS and glucose levels. Overall, these findings suggest that relatively high glucose concentrations may lessen the LPS-induced BMEC inflammatory response and reduce amino acid consumption, while low glucose concentrations may increase the demand for most amino acids through proinflammatory responses.

Rapid detection of the adulterants in milk using gamma radiation

Milk and dairy adulteration practice nowadays is becoming a global concern. The present study discloses the role of gamma irradiation as a cost-effective and rapid-detection approach to detect adulterants in milk instead of using expensive and time-consuming chemical-based methods. In the present study, synthetic milk samples were prepared using different common adulterants (vegetable oil, urea, water) and a comparative analysis has been done with market milk samples along with fresh milk based upon the attenuation property. The obtained linear attenuation coefficient decreases significantly (p < 0.05) with the increasing concentration of adulterants in sample. The recorded attenuation coefficient for fresh milk was 0.379 ± 0.04 and that of adulterated samples found to be in the range of 0.296–0.188. Moreover, different protein coagulation patterns of the heat-processed milk samples were detected. The coagulated protein of adulterated milk shows a granular texture. The attenuation coefficient of milk samples decreases with the gradual increase of adulterants. The correlation between the attenuation coefficient and adulterants in milk indicated the possible use of gamma radiation as a significant adulterant-detection method.

Comparison of maternal and fetal health outcomes in the pandemic period of covid-19 with the same last year duration in health centers of second largest city of Iran: A population-based cohort study

ObjectiveThe exact link between COVID-19 pandemic and different adverse outcomes of pregnancy remains unclear. Plus, large-scale research is lacking. In the present study, we aimed to compare the maternal and fetal health outcomes during the COVID-19 pandemic with the same last year duration in Iran. DesignTwo retrospective cohorts (pre-COVID-19 and during COVID-19) were studied. The pre-COVID-19 cohort include pregnant women who had given birth between January 1, 2019 and December 31, 2019. The COVID-19 cohort, who had given birth between January 1, 2020 and December 31, 2020. The characteristics of pregnant women before COVID-19 and during COVID-19 pandemic were compared with Fisher's exact test. Univariate and multivariate log-binomial regression models were used to determine the risk ratios of the impacts of the COVID-19 pandemic on adverse pregnancy outcomes. ResultsAmong 128968 women showed that women who had given birth during the pandemic were more likely to be of young age, lower rates of alcohol consumption and smoking, lower weight gain, and higher rates of using synthetic milk for feeding neonates (P < 0.05). Also, the risks of preterm labor were high (cOR 95% CI, 1.13 to 1.31; p < 0.01) and the risk of caesarian were low (cOR 95% CI, 0.95 0.92 to 0.98; p < 0.01) among pregnant women who gave birth during the COVID-19 pandemic compared with those who gave birth before the pandemic. ConclusionsIn summary, we found that during the COVID-19 pandemic there were the higher risks of preterm labor and lower risk of caesarean among pregnant women.

Adulteration Detection in Khoya Using UV Spectroscopy Techniques

Khoa is a heat desiccated milk product, which is traditionally prepared by boiling milk in an open pan. Similar to milk, khoa is highly vulnerable to adulteration due to its high demand during Indian festivals and its authentic taste. The adulterants usually spiked with milk are same for khoya, such that starch, detergent, hydrogen peroxide, colostrum, and wheat flours are few of the substances used for forming synthetic milk. Khoya prepared from such adulterated milk will also be adulterated in nature. This research addresses the need to develop a novel method to finding the adulteration in khoya using UV spectroscopy techniques.

Barriers of exclusive breastfeeding among mothers attending primary health-care centers in Jazan, Saudi Arabia.

Exclusive breastfeeding (EBF) describes infants who were only breastfed for 6 months. Many Saudi mothers have suboptimal breastfeeding practices. Therefore, this study aims to assess breastfeeding knowledge and determine barriers to EBF among mothers attending primary health care centers in Jazan City. A descriptive cross-sectional study was done that included all mothers attending the PHC centers. Data were collected through a self-administered questionnaire. Most study participants understand breastfeeding's health benefits for babies and mothers, but most believe that synthetic milk is the best alternative for working mothers to feed their babies. A percentage of 66.7 of mothers practiced breastfeeding during the first 6 months of the child's life. EBF shows a significant relationship with knowledge and barriers. Sixty percent of mothers have never had any information about breastfeeding; the primary source was from their mothers and only 31.4% from hospital staff. Most respondents disagreed with statements of barriers to EBF, which elicits an unexpected response. Most participants have good knowledge concerning breastfeeding benefits for both mother and infant and disagreed on the mentioned barriers for EBF that include lack of breastmilk, deficiency of information, and working conditions.

Nourishing neonatal piglets with synthetic milk and Lactobacillus sp. at birth highly modifies the gut microbial communities at the post-weaning stage.

The importance of probiotics in pig production is widely recognized. However, the precise role of probiotics in regulating the gut microbiota of piglets has not been assessed extensively. Therefore, we intend to examine whether suckling pigs ingesting with synthetic milk (SM) and probiotics along with mother milk has a carryover effect on its growth and gut health at the post-weaning stage. A total of 40 [Duroc× (Yorkshire× Landrace)] neonates with an initial BW of 1.49 ± 0.28 kg were assigned to one of two treatments groups: control (CON) and treatment (TRT). Control group piglets were nourished with synthetic milk, while TRT group piglets were nourished SM with (1 × 109 CFU/g) Lactobacillus sp. probiotics. The treatment group piglets showed higher (p < 0.05) body weight and daily gain at week 3 than the CON group piglets. 16S metagenome sequencing showed average demultiplexed reads and denoised reads counts of 157,399 and 74,945, respectively. The total ASV taxonomy number classified with a confidence threshold > 70% (default) on sequence alignment with the SILVA v138 reference database was 4,474. During week 1, Escherichia-Shigella, Clostridium sensu stricto 1, and Bacteroides were confirmed as the major dominant bacterial genera in both the groups at the genus level. However, during week 2, the relative proportion of Escherichia-Shigella, Clostridium sensu stricto 1, and Proteobacteria was decreased, while that of Lactobacillus and Bacteroidota was increased in pigs receiving the probiotic supplement. During weeks 2 and 3, Firmicutes, Proteobacteria, and Bacteroidota phyla were dominant in both groups. During week 6, the relative proportion of Proteobacteria was slightly increased in both groups. Furthermore, Prevotella was confirmed as the major dominant bacterial genus in both groups during weeks 3 and 6. This study suggests that nourishing neonatal piglets with synthetic milk and Lactobacillus sp. probiotics from birth to 21 days would be beneficial to enhance the gut health of piglets and to overcome post-weaning mortality.

Detection of Adulteration in Food Using Recurrent Neural Network with Internet of Things

Food is an essential need for human survival. Throughout history, food has been recognised as a crucial need for people in order to maintain good health as well as to treat illness. As with all living things, it is one of the most basic necessities that man has as well as those of all other living creatures. In a recent publication, it was said that an extremely affordable, robust, and biocompatible impedance sensor that serves as a fractional-order element has been created and may be used to distinguish milk and tainted milk. A complete study on milk adulteration includes more than 160 academic articles on the topic. A comprehensive study on milk adulteration is available online. Specifically, the goal of this research is to discover various types of milk adulterants, different approaches for detecting each kind of adulterant, as well as the health hazards associated with milk product adulteration. In the proposed project, the fractional-order element would be investigated for its potential use in the detection of milk adulteration. With this fractional-order element-based impedance sensor, you can distinguish between different types of contaminated milk and different types of faking it, which is quite useful in the detection and differentiation of fake and real milk. According to the researchers, they have created a low-cost, user-friendly instrumentation system for detecting milk adulteration. They hope to commercialise it soon. An automated sensing system for the detection of synthetic milk, based on a microcontroller, has been created in order to reduce the reliance on specialised labour and to improve efficiency. In order to model the sensor, the dipole layer capacitance at the interface of the impedance sensor immersed in milk and the contaminated milk must be taken into account throughout the modelling process. In this study, an electrical equivalent circuit is built, and the correctness of the circuit is shown by both theoretical and experimental investigation. The detection of milk adulteration is classified with the use of Recurrent Neural Networks, and the status is updated in the cloud server with the help of the Internet of Things and Recurrent Neural Networks. It is estimated that the proposed work will have an accuracy rate of 92.31 percent, a sensitivity rate of 75.23 percent, and a specificity rate of 90.12 percent, all of which are higher than the present rate.

Detection and quantification of anionic detergent in milk using rhodamine 6gdye and toluene solvent

In the present study different proportion of synthetic milk (2, 4, 8 10 and 15 %) was blended with natural milk and tested for detergent qualitatively as well as quantitatively successfully using Rhodamine 6G dye and Toluene solvent. In positive milk samples, the colour of the solvent changed from transparent to pink, and the intensity of colour increased with an increase in detergent concentration. In contrast, the colour of the solvent layer in the control milk sample remained transparent. Quantity of detergent determined by uptake of benzethonium chloride. This new method was sensitive enough to detect as low as 16 mg of detergent per 100 ml of adulterated milk.

Early-Life Nutrition Interventions Improved Growth Performance and Intestinal Health via the Gut Microbiota in Piglets.

Intestinal infections in piglets are the main causes of morbidity before and after weaning. Studies have not explored approaches for combining pre-weaning and post-weaning nutritional strategies to sustain optimal gut health. The current study thus sought to explore the effects of early-life nutrition interventions through administration of synthetic milk on growth performance and gut health in piglets from 3 to 30 days of age. Twelve sows were randomly allocated to control group (CON) and early-life nutrition interventions group (ENI). Piglets were fed with the same creep diet from 7 days of age ad libitum. Piglets in the ENI group were provided with additional synthetic milk from Day 3 to Day 30. The results showed that early-life nutrition interventions improved growth performance, liver weight, spleen weight, and reduced diarrhea rate of piglets after weaning (P < 0.05). Early-life nutrition interventions significantly upregulated expression of ZO-1, Occludin, Claudin4, GALNT1, B3GNT6, and MUC2 in colonic mucosa at mRNA level (P < 0.05). Early-life nutrition interventions reduced activity of alkaline phosphatase (AKP) in serum and the content of lipopolysaccharides (LPS) in plasma (P < 0.05). The number of goblet cells and crypt depth of colon of piglets was significantly higher in piglets in the ENI group relative to that of piglets in the CON group (P < 0.05). The relative mRNA expression levels of MCP-1, TNF-α, IL-1β, and IL-8, and the protein expression levels of TNF-α, IL-6, and IL-8 in colonic mucosa of piglets in the ENI group were lower compared with those of piglets in the CON group (P < 0.05). Relative abundance of Lactobacillus in colonic chyme and mucosa of piglets in the ENI group was significantly higher relative to that of piglets in the CON group (P < 0.05). Correlation analysis indicated that abundance of Lactobacillus was positively correlated with the relative mRNA expression levels of ZO-1, Claudin4, and GALNT1, and it was negatively correlated with the level of MCP-1 in colonic chyme and mucosa. In summary, the findings of this study showed that early-life nutrition interventions improved growth performance, colonic barrier, and reduced inflammation in the colon by modulating composition of gut microbiota in piglets. Early-life nutrition intervention through supplemental synthetic milk is a feasible measure to improve the health and reduce the number of deaths of piglets.

Novel monkey-wrench-shaped microstrip patch sensor for food evaluation and analysis.

Microwave sensor technology is considered to be a non-destructive and hygienic means for food evaluation and analysis. The rapid progress in microwave sensor technologies motivated us to present a novel monkey-wrench-shaped microstrip patch sensor for evaluating food quality. The proposed antenna is considered as a liquid sensor to detect adulteration in liquids by examining the relationship between concentration, shift in resonant frequency, and variation in reflection coefficient. The sensor has a compact size of 17 × 14 mm2 imprinted on an FR4 substrate of thickness 1.57 mm. This microwave system is proposed for monitoring overall milk quality using a microstrip sensor and has considerably good numerical sensitivity and accuracy (13.11% and 88.5% respectively), which makes the system attractive for detecting adulteration. Further, the Q-factor for the proposed sensor is 209 and has a standard deviation less than the difference between non-adulterated and adulterated values, giving resolution high enough to distinguish adulteration with an acceptable statistical accuracy. In this study, different milk categories (buffalo, goat, and cow milk) are considered as liquid samples to detect adulteration by demonstrating the variation in reflection coefficient due to change in dielectric properties for the following different cases: (i) adulteration of milk with water; (ii) adulteration of milk with synthetic milk powder; (iii) adulteration of milk with caustic soda; and (iv) adulteration of milk with vegetable oil. The referred variation in reflection coefficient and resonant frequency is due to a change in the dielectric properties of a liquid when a varying concentration of an adulterant/solute is added to the liquid sample. The simulation and measured results show good agreement that validates the proposed sensor for food adulteration detection with high sensitivity. In terms of performance, the proposed sensor shows accuracy with high spatial resolution and reduced penetration depth to detect the adulteration in various milk samples (i.e. buffalo, goat, and cow milk). © 2021 Society of Chemical Industry.

Recombinase Polymerase Amplification Coupled with a Photosensitization Colorimetric Assay for Fast Salmonella spp. Testing.

Salmonella spp. is one of the most serious foodborne pathogens causing millions of infection cases annually, especially in resource-limited areas. The standard culture method (2-3 days) and current nucleic acid amplification-based testing are not suitable for on-site testing in rural areas with heavy Salmonella spp. burden. Here, we developed a colorimetric recombinase polymerase amplification (RPA) method for fast and sensitive Salmonella spp. testing in 1 h. Specifically, the invA gene from the genomic DNA of Salmonella spp. was amplified isothermally to produce double-stranded DNA (dsDNA) amplicons, which were directly quantified by a photosensitization colorimetric assay. The proposed method offered the lowest detectable concentration of 5 × 103 colony-forming units/mL (cfu/mL), which is much lower than that of ELISA (105-107 cfu/mL). The detectable limit could be further pushed down to 3 cfu/mL upon coupling with bacteria pre-enrichment for 6 h. Analysis of synthetic milk samples confirmed the high precision (90%) and specificity (95%) of the method for Salmonella spp. testing. Moreover, use of a DNA releaser could further simplify the whole testing operation. Because RPA features low-temperature amplification (25-42 °C) without the need for specific instruments and the dsDNA-based photosensitization colorimetric assay served as a simple and facile readout for RPA, our method thus allows fast and low-cost Salmonella spp. testing in food samples.

Milk Adulteration and Detection

Milk adulteration is a worldwide apprehension that adversely affects progressing countries like India. Milk is a healthy drink that consists of several macro and micro nutrients which offer gamut of health benefits and is consumed by people of all age groups. Addition of extraneous matter like starch, sugar, caustic soda, ammonia refined vegetable oil, common detergent etc into the milk lowers its nutritious value there by posing risk to health. Hence it is very important to test the purity of milk before consumption as synthetic milk and pure milk more or less look the same and have a same taste. This paper describes a detection system that consumes less time to determine the parameters like Nacl, urea, pH and water percentage contained in the milk with the help of sensors incorporated in the system.

DOF/DAF comparison for the treatment of milk industry wastewater

The objective of this study was to evaluate the efficiency of dissolved ozone flotation (DOF) in comparison to dissolved air flotation (DAF) for treatment of milk industry wastewater (MW). In the first phase of the experiment, a synthetic milk wastewater (SMW) was used to evaluate DOF and DAF, with and without addition of hydrogen peroxide, at pH 4.0 and pH 11.4. In the DOF tests, the concentration of ozone was equal to 19 (± 0.5) mg L-1 and in the tests with addition of hydrogen peroxide, the H2O2/O3 ratios tested were 0.5, 1.0 and 1.5. In the second phase, tests were performed using three MW from three different industries to validate the results obtained and to determine the DOF system's ability to treat this type of effluent. The parameters tested during validation were turbidity, total suspended solids, oils and greases (O&amp;G), chemical oxygen demand (COD), biochemical oxygen demand (BOD), total nitrogen (TN) and total phosphorus (TP). It was observed that the efficiency of the treatments was better at pH 4.0. The results showed a reduction of the efficiency with the use of DOF. The addition of H2O2 in DAF and DOF also resulted in reduced system efficiency. The results obtained with SMW only approximated those obtained with the MW from one of the industries that contained the largest traces of milk and cheese.

SAFETY ASSESSMENT OF MILK AND INDIGENOUS MILK PRODUCTS FROM DIFFERENT AREAS OF FAISALABAD

The current study was designed to analyze the presence or absence of common adulterants in milk and milk products from six different regions of Faisalabad, Pakistan. Purposely, 54 samples from six different regions of Faisalabad were collected. Results revealed that milk of Faisalabad’s regions was adulterated with water, starch, urea, glucose, cane sugar, soap, synthetic milk and neutralizers. The results for starch, formalin, vegetable fat, artificial color, nitrates, sodium chloride, coal tar dyes, hydrogen peroxide, annatto, detergent, sulphate adulteration was found to be non-significant. The results for soap, synthetic milk, urea, sugar cane, neutralizers and glucose were significant. It was noted that R2 milk samples had more bacterial load (3.92x108 CFU/mL) followed by R1 (3.38x108 CFU/mL). Among milk products, cream samples collected from R6 had the maximum bacterial count (1.74x108 CFU/mL). The milk samples were also analyzed for the presence of added urea by Fourier Transform Infrared Spectroscopy (FTIR).

Efficacy of mouthrinses with bovine milk and milk protein isolates to accumulate casein in the in situ pellicle.

The adsorption of bovine milk caseins on the tooth surface might have a positive impact on the prevention of dental diseases. Therefore, the present study aimed to investigate the efficacy of mouthrinses with different types of bovine milk and milk protein isolates to accumulate caseins in the pellicle. An indirect enzyme-linked immunosorbent assay (ELISA) was established to quantify the amount of caseins adsorbed into the in situ pellicle. In situ pellicle samples were collected from 2 volunteers on ceramic specimens (A = 8cm2). After 10min of pellicle formation, different types of bovine milk, 3% micellar casein in synthetic milk ultrafiltrate (SMUF) or 3% non-micellar caseinate in SMUF, were used as mouthrinses for 10min. The pellicle material was harvested after 30min in situ and examined for caseins by the indirect ELISA. Selected pellicle samples were subjected to TEM analysis. All mouthrinses accumulated caseins in the in situ pellicle (2.0 ± 0.7-20 ± 1.7μg/ml) that, under native conditions, expressed no casein signal. Micellar protein association increased the adsorption of casein into the pellicle. Milk homogenization also had an influence on the casein accumulation in the pellicle. TEM analysis confirmed the integration of micellar casein into the pellicle. The mouthrinses altered the protein composition and the ultrastructure of the in situ pellicle to a different extent: bovine milk with 3.8% fat content and 3% micellar casein in SMUF being particularly effective. The study provides interesting perspectives for innovative prevention strategies in dentistry.

Studies on the Incidence of Adulterants, Preservatives and Synthetic Milk Sold in and around Greater Hyderabad Municipal Corporation

Studies on the Incidence of Adulterants, Preservatives and Synthetic Milk Sold in and around Greater Hyderabad Municipal Corporation

BOVINE MILK

Introduction: Milk and dairy products are consumed by the human on dailybasis throughout the globe and constitute a huge business by the dairy farmers due to its highdemand. The consumers of milk and milk products expect its high quality, free from the artificialpreservatives and threatening agents. Objectives: To determine the chemical quality of rawbovine milk sold in open markets of district Peshawar. Study Design: Cross-sectional study.Setting: 4 towns, Town 1(Sikandar Town and Gul Bahar) ,2 (Shahi Bala,Methra and Pajjagi),3(University Road and Hayatabad Area), 4 (Hazaekhawani and Badabair Area) of districtPeshawar. Period: 6 months; from November 2016 to April 2017. Methodology: 158 sampleswere selected. All samples were analyzed for adulteration in the Public Health Laboratory phase5 Hayatabad Peshawar. Study duration was 6 months; convenient sampling technique hasbeen followed. Results: Among all 158 samples; 32.3% of the sample were adulterated withwater. 8.9% of sample showed hydrogen per oxide adulteration. Starch, cane sugar and ureaadulteration was in 7.6%, 2.5% and 1.9% samples respectively. Vegetable oil, formalin andsynthetic milk adulteration was in 1.9%, 5.7% and 5.7% of samples respectively. We have LargeScale Vendors i.e. Rural Area 10% showing low and Urban Area 90% as high adulteration, SmallScale Vendors 30% low in rural Area and 70% high adulteration in urban area respectively.Conclusion: This study results provided a base line data of chemical composition of bovinemilk used in Peshawar. Chemical were present and can play key role in alteration of milk whichwe use on daily basis. Water content was high, it means that most of the shop-keepers prefer tomix water in milk to increase the quantity of milk. Use of starch, Vegetable Oil and Formalin wasminimal. Use of hydrogen peroxide, Urea and synthetic milk was very less in provided sample.