Milk Spoilage Research Articles

Evaluation of UHT milk spoilage caused by proteases from psychrophilic bacteria based on peptidomics

The quality issues of ultra-high-temperature (UHT) milk, such as protein hydrolysis and aging gels throughout shelf life, are caused by proteases from psychrophilic bacteria. However, existing enzyme activity detection techniques have low sensitivity and cannot accomplish the detection of product deterioration caused by low enzyme activity. In this study, an attempt was made to analyze the relationship between enzymatically cleaved peptides and product quality using peptidomics techniques. The impact of psychrophilic bacteria proteases on the quality of UHT milk was investigated based on peptidomics by exogenously adding proteases. The results indicated that the protease activity and protein hydrolysis increased significantly in UHT milk over the storage period. Through peptidomic analysis, 2479 peptides were identified, in which 32 proteins linked to the identified peptides. 17 potential marker peptides, including αS1-casein143–156, β-lactoglobulin99–108, and β-casein39–66, were screened. The correlation of all identified peptides with protease activity and protein hydrolysis was explored by the weighted gene co-expression network analysis (WGCNA) method. The peptidomics technology helps to study the release or degradation of peptides in UHT milk during storage, which can be applied to monitor the shelf life of UHT milk and predict spoilage.

Chemically modified filter paper with Jaman fruit extract for visual sensing of milk freshness

Developing a non-toxic, cost-effective, and user-friendly indicator for detecting milk freshness and spoilage, with potential applications in smart packaging, presents a significant challenge. In this study, we extracted natural anthocyanins (ACNs) from Jaman (Syzgium cumini) and incorporated it in to filter paper. The presence of ACNs in the extract was confirmed through UPLC-MS/MS analysis. To enhance stability and prevent leaching, the ACNs-loaded filter paper was coated with 1 % chitosan (CH). The sensor strips were thoroughly characterized using FTIR, contact angle measurements, XRD, and FE-SEM. These strips displayed a distinct and quantifiable color change from red to colorless to yellow across different pH levels. Additionally, in real-time milk spoilage detection, the sensor transitioned from light purple to colorless. The strips demonstrated reproducibility and stability, even under high temperatures and extreme pH conditions. These findings suggest that the ACNs-loaded sensor strips hold promise for use as smart packaging materials.

Characterization of psychrotrophic and thermoduric bacteria in raw milk using a multi-omics approach.

Psychrotrophic and thermoduric bacteria are the main reasons for the spoilage of dairy products. This study aims to address the composition and function of psychrotrophic and thermoduric bacteria in eight groups of raw milk samples obtained from Heilongjiang Province and Inner Mongolia (China). Microbial enumeration showed an average total bacterial count of 4.63 log c.f.u. ml-1 and psychrotrophic bacterial counts of 4.82 log c.f.u. ml-1. The mean counts of mesophilic and thermophilic thermoduric bacteria were 3.68 log and 1.81 log c.f.u. ml-1, respectively. Isolated psychrotrophic bacteria (26 genera and 50 species) and mesophilic thermoduric bacteria (20 genera and 32 species) showed high microbial diversity. Through metagenomic and proteomic analyses, significant disparities in the concentration and community structure of psychrotrophic and thermoduric bacteria were observed among different locations. A large number of peptidases were annotated by metagenomics, which may result in milk spoilage. They mainly come from some typical psychrotrophic and thermoduric bacteria, such as Chryseobacterium, Epilithonimonas, Pseudomonas, Psychrobacter, Acinetobacter, Lactococcus, Escherichia and Bacillus. However, the main proteins detected in fresh raw milk were associated with bacterial growth, reproduction and adaptation to cold environments. This investigation provides valuable insights into the microbial communities and protein profiles of raw milk, shedding light on the microbial factors contributing to milk deterioration.

A fluorescent chemosensor for milk spoilage detection based on aniline-modified β-cyclodextrin

Fresh milk has a significant amount of vital nutrients but is susceptible to deterioration. In light of the increasing global consumer demand for trustworthy and high-quality food products, the objective of this research endeavor is to devise a pH-sensitive instrument (MCAniline) for detecting milk deterioration using an aniline-modified β-cyclodextrin using Schiff-base reaction. Using proton nuclear magnetic resonance (1HNMR), Fourier transform infrared spectroscopy (FT-IR), and X-ray diffraction (XRD), the crystallization behavior and efficacy of the synthesis of the probe were evaluated. The fluorescence spectrophotometer was employed to verify the pH sensitivity of the MCAniline probe. It was observed that the synthesized probe exhibited an enhanced fluorescence characteristic at acidic pH levels. Ultimately, the MCAniline sensor successfully detected tainted milk without requiring any preprocessing, rendering it an exceptionally promising method for ensuring food safety.

Marker Peptides for Indicating the Spoilage of Milk-Sample Preparation and Chemometric Approaches for Yielding Potential Peptides in a Raw Milk Model.

The diminishing of food waste is gaining increasing importance, especially in context with a growing population and a need for the sustainable use of food resources. A more precise determination of the best-before date can contribute to this general aim. As proteoforms can be regarded as indicators for ecophysiological influences, their suitability for determining the spoilage and, consequently, the shelf-life of food is suggested. Proteoforms reflect the spoilage of food more accurately. The aim of the present study was to develop an efficient proteomics workflow to determine the shelf-life of milk as a prominent target. In this case, raw milk was chosen as model, as it degrades much faster. The integration of different multivariate analysis techniques was used to analyze the spoilage of raw milk with regard to aspects of its proteome. As the feasibility of such an approach has already been demonstrated in previous studies, it is further necessary to enable a robust and reproducible workflow, primarily gaining appropriate numbers and amounts of peptides when the research question differs and other dairy products are evaluated. In the present study, two approaches for gaining peptides were considered: In addition to a direct hydrolysis of a protein-rich sample solution, in-gel hydrolysis is another common approach in proteomics. By separating the proteins in a traditional gel electrophoresis before hydrolysis, the change in the individual proteins and, consequently, potential peptides can be monitored more specifically during storage. However, the traditional approach offers not only possibilities but also limitations that must be considered. The study showed that it is beneficial to apply a combination of different application strategies, as they complement each other and can thus increase the information content of a sample or confirm a theory. Mass spectrometric features, which represent a chemical-structural change of all kinds of compounds during storage, were selected, and three of them were identified as peptides, originating from α-s1-casein.

The First Pseudomonas Phage vB_PseuGesM_254 Active against Proteolytic Pseudomonas gessardii Strains

Bacteria of the Pseudomonas genus, including the Pseudomonas gessardii subgroup, play an important role in the environmental microbial communities. Psychrotolerant isolates of P. gessardii can produce thermostable proteases and lipases. When contaminating refrigerated raw milk, these bacteria spoil it by producing enzymes resistant to pasteurization. One possible way to prevent spoilage of raw milk is to use Pseudomonas lytic phages specific to undesirable P. gessardii isolates. The first phage, Pseudomonas vB_PseuGesM_254, was isolated and characterized, which is active against several proteolytic P. gessardii strains. This lytic myophage can infect and lyse its host strain at 24 °C and at low temperature (8 °C); so, it has the potential to prevent contamination of raw milk. The vB_PseuGesM_254 genome, 95,072 bp, shows a low level of intergenomic similarity with the genomes of known phages. Comparative proteomic ViPTree analysis indicated that vB_PseuGesM_254 is associated with a large group of Pseudomonas phages that are members of the Skurskavirinae and Gorskivirinae subfamilies and the Nankokuvirus genus. The alignment constructed using ViPTree shows that the vB_PseuGesM_254 genome has a large inversion between ~53,100 and ~70,700 bp, which is possibly a distinctive feature of a new taxonomic unit within this large group of Pseudomonas phages.

Experimental and molecular dynamics simulation study on the mechanism of β-lactoglobulin self-aggregation induced by ultra-high temperature

Ultra-high temperature (UHT) treatment effectively prevents milk spoilage, yet it can cause protein aggregation, thereby impacting milk stability. β-Lactoglobulin (β-Lg) is a thermally unstable whey protein, but the mechanism of its self-aggregation induced by UHT treatment remains unclear. Herein, experimental approaches and molecular dynamics simulations were performed to elucidate β-Lg aggregation under UHT. The physicochemical properties of the aggregates were initially characterized after different UHT treatments. Size exclusion chromatography and multi-angle static light scattering showed β-Lg aggregates with molecular weights from 20 to 900 kDa and particle sizes from 100 to 350 nm, with bead string and irregular morphologies. Multispectroscopy showed that UHT treatment caused the unfolding of the β-Lg. Molecular dynamics simulations further observed hydrogen bond disruption and β-barrel opening, enhancing the electrostatic interactions and hydrophobicity of β-Lg surfaces, leading to non-covalent aggregation. Furthermore, SDS-PAGE confirmed the involvement of disulfide bonds in aggregate formation, and mass spectrometry identified the disruption of original disulfide bonds under UHT, promoting intermolecular disulfide bonding involving residues Cys119, Cys121, and Cys160. These findings provide a comprehensive understanding of β-Lg aggregation under UHT conditions, which is essential for improving the stability and quality of UHT-treated milk products.

Multicentric Water‐Stabilized Lanthanide Coordination Polymers for the Highly Sensitive and Rapid Detection of Riboflavin

ABSTRACTMilk, owing to its nutritional value, is a staple commodity in daily life. Ensuring its integrity and authenticity is paramount for researchers and the food industry. To evaluate spoilage and adulteration of milk, we proposed a robust and reliable optical method to guarantee milk quality by utilizing riboflavin as an internal biomarker. By precisely controlling the content of Eu3+, Tb3+, and Gd3+ ions, a two‐dimensional ratiometric luminescence lanthanide coordination polymer (Ln‐CP) with adjustable emission centers was synthesized for the detection of riboflavin (RF), leveraging a Förster resonance energy transfer (FRET) and photoinduced electron transfer (PET) process. This method demonstrates high sensitivity and selectivity towards RF and has been successfully applied to the detection of RF in both milk and calf serum.

Bacterial community structure and metabolomic profiles of yak milk and cattle-yak milk during refrigeration in Gannan region: Analysis of interspecific differences in milk spoilage

The bacterial community dynamics and metabolomic profiles in raw yak (Y) milk and cattle-yak (CY) milk during refrigeration at 4 °C were investigated, followed by the elucidation of interspecific differences in milk storage. Bacterial communities and succession patterns were significantly different between the two milk types during refrigeration, with Lactococcus and Pseudomonas being the key distinguishing genera. Moreover, higher network complexity and tighter interactions were observed for the microbial community in CY milk than in Y milk. Furthermore, 7 proteases and 1 lipase potentially contributed to milk spoilage. The metabolomic profiles significantly differed between the milk types during refrigeration. Extended storage time decreased the relative abundances of organic nitrogen compounds and lipids and lipid-like molecules, with a concomitant increase in organic acids and derivatives, particularly in Y milk. Moreover, 9 metabolites, whose levels gradually increased with storage time, were strongly correlated with psychrophiles and thus considered potential markers of deterioration in plateau-characteristic milk. These findings offer a theoretical foundation for augmenting the quality and safety of plateau-characteristic milk and its derivatives, while also helping us understand the microbial and metabolic dynamics in raw milk under extreme environments.

Milk Spoilage Model Predicts that Share Tables Would Not Meaningfully Increase Spoilage and Improved Storage Systems Can Reduce Spoilage

School share tables offer opportunities for food recovery and increased access to healthy foods by allowing students to donate or consume unopened items, such as cartons of milk. However, stakeholders have concerns about temperature abuse potentially causing premature milk spoilage. While previous research showed short ambient temperature abuse of milk (under conditions representing share tables) does not meaningfully impact microbial milk quality, differences across school cafeterias (e.g., ambient temperatures, storage systems, bell schedules, refrigeration temperature) may limit the generalizability of this conclusion. To address this, the overnight refrigeration temperature and the milk's initial contamination were predicted to be the main drivers for milk spoilage. Share tables were predicted to only cause inconsequential microbial quality changes (4 spoiled milk per million served, which would be ≤2 milk cartons spoiled per school year) under short and medium bell schedules (≤125 min of total service), even without temperature control during the lunch period. Under long (221 min) and very long (266 min) bell schedules, share tables with ambient temperature storage were predicted to have higher milk spoilage (19 and 42 spoiled milk cartons per million served, respectively), and adding storage systems was predicted to reduce the decline in milk quality (12 and 24 spoiled milk cartons per million served, respectively). These results provide a resource to support science-based decision-making for the inclusion of milk in school cafeteria share tables, ultimately working to reduce food waste and address food insecurity.

Determination of microbial contamination in raw milk, processed milk and yoghurt consumed in Mbarara city, western part of Uganda

he microbial composition of milk serves as a key indicator of its quality. While its nutritional value is significant, the inherent nature of milk also makes it an ideal environment for the proliferation of microorganisms, some of which lead to human illnesses, while others contribute to the spoilage of milk, making it unsafe for consumption. This research therefore aimed to assess the bacterial contamination content in raw milk, UHT and yoghurt, a total of 36 samples were gathered from various retailers, markets and supermarkets across Mbarara city. Contaminated milk and its products are accountable for human dairy related illnesses. This cross-sectional study was conducted to assess micro bacterial contamination and the presence of selected milk-borne zoonotic pathogens. The study involved 36 samples of milk and milk products mainly raw milk, UHT, or processed milk and yoghurt. Laboratory analysis conducted included Total Plate Count (TPC), Yeasts and molds (YM), staphylococcus, salmonella and coliform, as well as detection of Escherichia coli (E coli), biochemical tests including gram staining were employed to isolate and identify bacteria in these samples. The findings indicated the presence of these types of bacteria in raw milk, Staphylococcus spp (25%), Salmonella spp (33.3%), YM (41.6%), TPC (50%), coliforms (33.3%) and E.coli (25%), for UHT milk the percentage was Staphylococcus spp (0%), Salmonella spp (16.6%), YM (8.3%), TPC(16.6%), coliforms (16.6%) and E.coli (8.3%), finally for yoghurt the results were Staphylococcus spp (8.3%), Salmonella spp (8.3%), YM (16.6%), TPC (25%), coliforms (16.6%) and E.coli (0%). In conclusion, the detection of microbial contamination in raw milk and milk products suggests inadequate sanitary practices and poor storage practices. Products that are contaminated by these pathogenic organisms when consumed may result in food poisoning and a proper awareness among the stakeholders and consumers regarding possible outcomes of consuming contaminated food items is necessary. keywords: Milk, Yoghurt, Food poisoning, Microorganisms, Contamination

Milk Spoilage Classification through Integration of RGB and Thermal Data Analysis

Milk Spoilage Classification through Integration of RGB and Thermal Data Analysis

UV-blocking, antibacterial, corrosion resistance, antioxidant, and fruit packaging ability of lignin-rich alkaline black liquor composite film

The novel multifunctional active packaging composite film with antimicrobial, antioxidant, water-vapor and UV-barrier, and corrosion resistance properties was successfully prepared from waste biomass. In this study, waste poplar sawdust was pretreated using green liquor to extract black liquor (BL). BL was then mixed with polyvinyl alcohol (PVA) solution for synthesizing silver nanoparticles (AgNPs). PVA-BL-AgNPs film was fabricated by solution casting method, and the microstructure characterization and macroscopic performance testing of the composite film were conducted. The results revealed that PVA-BL-AgNPs film exhibited inhibitory effects against Staphylococcus aureus (inhibition zone: 33.6 mm), Pseudomonas aeruginosa (inhibition zone: 31.6 mm), and Escherichia coli (inhibition zone: 32.0 mm). It could eliminate over 99 % of 2,2-diazodi (3-ethyl-benzothiazol-6-sulfonic acid) (ABTS) free radicals and provided 100 % UV-blocking, reducing light-induced food damage. It exhibited the improvement of water-vapor barrier properties and corrosion resistance. In vitro cytotoxicity assays demonstrated that no significant impact occurred on cell proliferation, confirming the safety of the film. Packaging experiments showed that PVA-BL-AgNPs film effectively inhibited milk spoilage and prolonged the shelf-life of bread and bananas. Therefore, PVA-BL-AgNPs film might extend the shelf-life of food and offer significant opportunities in addressing the issues of low safety and environmental pollution associated with traditional packaging films.

Effect of selected bacteria of the genus Pseudomonas on the quality of raw cow’s milk

Pseudomonas spp. are a psychrotrophic species associated with milk spoilage caused by its enzymatic activities. The aim of this study was to identify Pseudomonas spp. in raw cow’s milk and to investigate their associated enzymatic properties and the ability to produce pyoverdine pigment. For microbiological analysis, 2 ml of milk samples was taken in sterile sample boxes. Milk sampling was carried out according to the principles of STN EN ISO 707. By identification using the PCR method, of n=320 samples of raw cow milk a total of 73 isolates of Pseudomonas spp. were identified as P. putida (34.25%); P. fragi (13.70%); P. lundensis (9.59%) and Pseudomonas spp. (42.47%). Proteolytic activity determined at a temperature of 7°C was positive from n=20 selected isolates of Pseudomonas spp. (60%) isolates and a temperature of 25°C was positively detected (85%). Lipolytic activity determined at a temperature of 7°C was confirmed in 35% of isolates and a temperature of 25°C it was confirmed in 70% isolates. Pyoverdine pigment production was detected in 65% of isolates. The results reveal the enzymatic activity of Pseudomonas spp. present in raw cow’s milk and its spoilage potential at different temperatures in relation to pigment production.

Dynamic Interplay between Microbiota Shifts and Differential Metabolites during Dairy Processing and Storage.

Due to the intricate complexity of the original microbiota, residual heat-resistant enzymes, and chemical components, identifying the essential factors that affect dairy quality using traditional methods is challenging. In this study, raw milk, pasteurized milk, and ultra-heat-treated (UHT) milk samples were collectively analyzed using metagenomic next-generation sequencing (mNGS), high-throughput liquid chromatography-mass spectrometry (LC-MS), and gas chromatography-mass spectrometry (GC-MS). The results revealed that raw milk and its corresponding heated dairy products exhibited different trends in terms of microbiota shifts and metabolite changes during storage. Via the analysis of differences in microbiota and correlation analysis of the microorganisms present in differential metabolites in refrigerated pasteurized milk, the top three differential microorganisms with increased abundance, Microbacterium (p < 0.01), unclassified Actinomycetia class (p < 0.05), and Micrococcus (p < 0.01), were detected; these were highly correlated with certain metabolites in pasteurized milk (r > 0.8). This indicated that these genera were the main proliferating microorganisms and were the primary genera involved in the metabolism of pasteurized milk during refrigeration-based storage. Microorganisms with decreased abundance were classified into two categories based on correlation analysis with certain metabolites. It was speculated that the heat-resistant enzyme system of a group of microorganisms with high correlation (r > 0.8), such as Pseudomonas and Acinetobacter, was the main factor causing milk spoilage and that the group with lower correlation (r < 0.3) had a lower impact on the storage process of pasteurized dairy products. By comparing the metabolic pathway results based on metagenomic and metabolite annotation, it was proposed that protein degradation may be associated with microbial growth, whereas lipid degradation may be linked to raw milk's initial heat-resistant enzymes. By leveraging the synergy of metagenomics and metabolomics, the interacting factors determining the quality evolution of dairy products were systematically investigated, providing a novel perspective for controlling dairy processing and storage effectively.

Assessment of Traditional Way of Value Addition Practices on Processing of Milk and Milk Products in Selected Districts of South Omo Zone

The study was carried out to evaluate, identify, and characterize various traditional milk preservative plants and investigate their indigenous techniques of handling, processing and preserving in the South-Ari and Maale districts. Data were collected from 196 households by purposive sampling, interviewed using a semi-structured questionnaire, and analyzed using SPSS. More than 12 indigenous preservative plants that were commonly used by the respondents were identified and collected. In the South-Ari district all (100%) respondents used plant species of Lippia adoensis Hochst, Cordia Monoica Roxb., Leucas Deflexa Hook.f and Satureja Paradoxa, while in the Maale district 63.5% of the respondents used only fresh Balanites Aegyptiaca leaves to clean the milk utensils while 36.5% used fresh leaves of Solanum Incanu, Hoslundia Opposita, Balanites Aegyptiaca, Lantana Camara, and Celosia Trigyna. as washing milking and storage vessels. About 96% of the plants frequently used to smoke milk equipment in the South-Ari district were Clerodendrum Myricoides, Eucalyptus Globulus and Olea Africana while almost all (99%) households in the Maale district smoked milk utensils with Balanites aegyptiaca, Solanum Incanum, Lantana Camara, and Ocimum Forskolei Benth. The application methods were through rubbing, burning, and both burning and immersion in the milk vessels. The main cause of the loss of milk after harvest in the South Ari (93.7%) and Maale (40%) districts was milk spoilage. The majority of the 92% in South-Ari and 66.7% in Maale respondents minimize milk spoilage by consuming early or selling to the market. It could be concluded that the herbal plants identified in this study required further examination and their impact on the health of consumers should be studied in detail.

Novel Hybrid Copper-Based Electrode for Non-Enzymatic Electrochemical Lactic Acid Sensing in Milk Samples

A novel developed non-enzymatic electrochemical sensor was designed for the detection of lactic acid (LA) in perishable products, with a focus on monitoring milk spoilage. The sensor utilizes a hybrid copper-based electrode consisting of cuprous oxide (Cu2O), copper oxide (CuO), and copper hydroxide (Cu(OH)2), which collectively contribute to enhanced performance through their synergistic effects. Cyclic voltammetric studies revealed distinct oxidation peaks associated with LA detection, highlighting the superior catalytic effect of the Cu2O/CuO/Cu(OH)2 electrode compared to CuO alone. Further optimization of the metal loading on the electrode surface led to improve LA sensing properties. The sensor exhibited a wide linear response range (0.25–7 mM), high sensitivity (817.66 μA·mM−1·cm−2), and a low limit of detection (0.25 mM). Selectivity tests indicated negligible interference from common dairy product constituents, while stability tests showed consistent performance over a 3 week storage period (100% stability). The practical usability of the sensor was demonstrated through the quantitative analysis of LA in pasteurized milk, with recovery values ranging from 99.7% to 106.9%, confirming the feasibility of the sensor for real sample analysis. The developed multiphase copper-based electrode presents a promising platform for the sensitive and reliable detection of LA within the dairy industry.

Characterization of Pseudomonas spp. contamination and in situ spoilage potential in pasteurized milk production process

To investigate the prevalence of Pseudomonas in the pasteurized milk production process and its effect on milk quality, 106 strains of Pseudomonas were isolated from the pasteurized milk production process of a milk production plant in Shaanxi Province, China. The protease, lipase and biofilm-producing capacities of the 106 Pseudomonas strains were evaluated, and the spoilage enzyme activities of their metabolites were assessed by simulating temperature incubation in the refrigerated (7 °C) and transport environment (25 °C) segments and thermal treatments of pasteurization (75 °C, 5 min) and ultra-high temperature sterilization (121 °C, 15 s). A phylogenetic tree was drawn based on 16S rDNA gene sequencing and the top 5 strains were selected as representative strains to identify their in situ spoilage potential by examining their growth potential and ability to hydrolyze proteins and lipids in milk using growth curves, pH, whiteness, Zeta-potential, lipid oxidation, SDS-PAGE and volatile flavor compounds. The results showed that half and more of the isolated Pseudomonas had spoilage enzyme production and biofilm capacity, and the spoilage enzyme activity of metabolites was affected by the culture temperature and sterilization method, but ultra-high temperature sterilization could not completely eliminate the enzyme activity. The growth of Pseudomonas lundensis and Pseudomonas qingdaonensis was less affected by temperature and time, and the hydrolytic capacity of extracellular protease and lipase secreted by Pseudomonas lurida was the strongest, which had the greatest effect on milk quality. Therefore, it is crucial to identify the key contamination links of Pseudomonas, the main bacteria responsible for milk spoilage, and the influence of environmental factors on its deterioration.

Coconut husk-lignin derived carbon dots incorporated carrageenan based functional film for intelligent food packaging

Carbon dots (CDs) derived from sustainable natural feed-stocks like lignin have gained wide acceptance by virtue of their renewability and promising potential in intelligent sensing applications. The precursor lignin is isolated from agro-biomass waste, coconut husk through sodium hydroxide based extraction process. CDs are synthesised from amine functionalized lignin through solvothermal process and integrated into carrageenan biopolymer matrix (1, 2 and 3 wt%). The composite film with 2 wt% CDs (CARR2CD) showed optimum fluorescent emission intensity, excellent pH dependent fluorescent color change in the food pH range, reasonable tensile strength (46.50 ± 1.32 MPa) and 27 % increase in elongation at break. CDs imparted UV-light blocking properties (70 % UV-light) and enhanced hydrophobicity of the carrageenan matrix. CARR2CD film showed 84 % visible light transparency, 79 % reduction in oxygen transmittance rate (OTR), 81 % reduction in CO2 gas permeability and excellent antioxidant and antibacterial properties (against E. coli and S. aureus). As a practical application, the developed responsive packaging material is used to track pH change associated with milk spoilage via noticeable color change in fluorescent emission of the composite film. Thus, the developed responsive composite film paves a way for use as green and sustainable transparent intelligent food packaging material.

Enhancing Raw Bovine Milk Quality using Ultraviolet-C (UV-C) Irradiation: A Microbial and Lipid Peroxidation Study.

This study investigated the efficacy of ultraviolet-C (UV-C) irradiation in enhancing the quality of raw bovine milk by targeting microbial populations and lipid peroxidation, both of which are key factors in milk spoilage. We categorized the raw milk samples into three groups based on initial bacterial load: low (<3 Log 10 CFU/mL), medium (3-4 Log 10 CFU/mL), and high (>4 Log 10 CFU/mL). Using a 144 W thin-film UV-C reactor, we treated the milk with a flow rate of 3 L/min. We measured the bacterial count including standard plate count, coliform count, coagulase-negative staphylococci count, and lactic acid bacteria count and lipid peroxidation (via thiobarbituric acid reactive substances assay) pre- and post-treatment. Our results show that UV-C treatment significantly reduced bacterial counts, with the most notable reductions observed in high and medium initial load samples (>4 and 3-4 Log 10 CFU/mL, respectively). The treatment was particularly effective against coliforms, showing higher reduction efficiency compared to coagulase-negative staphylococci and lactic acid bacteria. Notably, lipid peroxidation in UV-C treated milk was significantly lower than in pasteurized or untreated milk, even after 72 hours. These findings demonstrate the potential of UV-C irradiation as a pre-treatment method for raw milk, offering substantial reduction in microbial content and prevention of lipid peroxidation, thereby enhancing milk quality.