Milk Samples Research Articles

Concentrations and predictors of select nutrients in Canadian human milk samples from the Maternal-Infant Research on Environmental Chemicals pregnancy cohort

BackgroundHuman milk (HM) composition data are widely used in clinical, regulatory, and public health initiatives. The existing HM profiles in United States and Canadian nutrient databanks are outdated and now considered inappropriate to estimate current nutrient intakes. Recent reviews have underscored the limited North American data available to generate a new profile. ObjectivesTo describe concentrations and sources of variability of nutrients in HM from a large cohort collected in Canada. MethodsThe Maternal-Infant Research on Environmental Chemicals (MIREC) study recruited participants in the first trimester of pregnancy from 10 Canadian cities between 2008 and 2011. HM samples (n = 559–835, depending on nutrient) were collected 3–10 wk postpartum and analyzed for minerals (calcium, magnesium, phosphorus, potassium, sodium, manganese, molybdenum, zinc, copper, iodine, selenium), vitamin D [vitamin D3, 25-hydroxyvitamin D3], folate vitamers (folic acid, 5-methyltetrahydrofolate, total folates), and fatty acids (panel). We examined associations between participant characteristics and log-transformed nutrient concentrations using linear regression. ResultsConcentrations of HM components in MIREC samples were within the range observed in literature except for manganese, which was >100-fold lower than the value in the existing Canadian nutrient databank profile [2.43 (standard deviation 2.84) compared with 260 ng/g]. In multivariable models, concentrations of folate vitamers, vitamin D, and fatty acids demonstrated greater variability with maternal and sample characteristics than minerals. Factors such as relevant supplement use, body mass index, and for vitamin D, skin color and season, had a larger impact on nutrient concentrations than characteristics typically standardized in HM research, such as maternal or infant health, and method of collection. ConclusionsHM mineral concentrations from this study meet the methodological inclusion criteria for updating nutrient databank values and dietary reference intakes. Consideration of factors such as diet, skin color, and BMI will be important for selecting studies for developing representative reference values based on HM.

Hot topic: Avian influenza subtype H5N1 in US dairy—A preliminary dairy foods perspective

In February and March of 2024, an unusual illness began affecting dairy herds primarily in Texas and neighboring states. The causative agent of this illness was ultimately confirmed in late March 2024 to be a strain of highly pathogenic avian influenza H5N1 belonging to clade 2.3.4.4b. In the months following the emergence of this viral disease in cattle, infections have spread to at least 191 herds in 13 states at the time of this writing in August 2024, primarily through cattle and human movement. Surprisingly, early examination of raw milk samples from clinically affected animals indicated that the virus had an affinity for the mammary tissue, and viral shedding into raw milk occurred at high levels, exceeding 108 log10 50% tissue culture infectious dose (TCID50) in some cases. These high viral loads coupled with evidence that farm cats who consumed raw milk from clinically ill animals were infected and exhibited high mortality rates, raised concerns about the safety of the US milk supply for human consumption. To date, 4 cow-associated human infections have been reported, all from farm employees with direct contact with infected animals. Several parameters ultimately affect the theoretical public health risk from consumption of dairy products manufactured from a milk supply containing H5N1, namely (1) initial viral load, (2) persistence of H5N1 in raw milk, (3) viral inactivation through processing practices including pasteurization, and (4) human susceptibility and infectious dose. In the short period since the emergence of this disease in dairy cattle in the United States, research has begun to answer these critical questions, although our knowledge is still quite limited at this time. Here we review the literature available from the current H5N1 outbreak in US dairy cattle, as well as selected relevant literature from previous research in other animal agriculture sectors, that affect our current understanding of the parameters associated with the food safety risk of this disease in the US dairy supply chain.

Enhancing Ultra-High Temperature Milk Quality: A Novel Approach to Microbial Contamination Detection Using the BD BACTEC™ FX System

The demand for effective detection methods to ensure the safety and quality of Ultra-High Temperature (UHT) milk remains crucial in the food industry. Traditional techniques for detecting microorganisms are time-consuming and labor-intensive, leading to a need for a rapid and sensitive method for detecting microbial growth in UHT milk. This study evaluates the efficacy of the BD BACTEC™ FX system for microbial detection in UHT milk samples. The system utilizes internal fluorescent CO2 sensors to detect the metabolic activity of bacteria growing in the culture broth. The investigation comprises two stages: a controlled laboratory experiment with UHT milk samples spiked with Bacillus spizizenii inoculated at different population levels (from 0 to 4.0 log10 CFU/mL), and an industrial-scale assessment of commercial UHT milk. The microbial detection system detected the lowest B. spizizenii count (0 log CFU/mL) inoculated into UHT milk after 13 hours of incubation. The 13-hour incubation period was also sufficient to detect microbial contamination in commercial UHT milk samples. Results indicate that this system offers heightened sensitivity compared to conventional methods, detecting microbial contamination in a significantly shorter time frame (6-13 h). Taxonomic identification of contaminants revealed the presence of Cellulomonas spp. and Enterococcus spp. in UHT commercial samples. The findings emphasize the critical importance of robust detection techniques in ensuring the safety and quality of UHT milk products.

Relationship between pyrimidines, purines and fatty acids in milk of dairy cows fed distinct carbohydrate types: a metabolomic approach

The aim of this research was to evaluate changes in the milk metabolome of dairy cows fed different carbohydrate types from silages and concentrates, with special focus on purines and pyrimidines, likely associated with the microbial activity in the rumen. Furthermore, the relationship between the milk fatty acids and pyrimidine and purine metabolism retrieved in milk was investigated for potential correlations between these 2 groups of potential milk biomarkers. Twenty-four lactating dairy cows were used in a crossover design, where each cow received 2 of 4 diets. Diets were formulated based on a 2 by 2 factorial arrangement, using either grass-clover or corn silage as a forage source, and barley or dried beet pulp in the concentrate fraction. Fatty acids and LC-MS metabolome of the milk were analyzed. The milk metabolome and fatty acid concentration could differentiate the 4 diets used in the trial, while the milk metabolome alone could only differentiate the 2 silage types. Milk odd-chain fatty acids (C17:1 and C17:0) were correlated with pyrimidine and purine derivatives, with uric acid being significantly higher in milk samples associated with corn silage diets. Therefore, the results indicate potential differences in microbial protein synthesis between the diets, but a validation with actual ruminal microbial protein synthesis and investigation in digestive biofluids are necessary for further confirmation.

Assessment of Listeria monocytogenes presence in Raw milk samples and certain cheese varieties

Assessment of Listeria monocytogenes presence in Raw milk samples and certain cheese varieties

Establishment of a multiplex qPCR method for sensitive detection of proteolytic psychrotrophic bacteria in raw milk

Initial microbiological species and quantity of raw milk significantly affect dairy product quality. In particular, some psychrotrophic bacteria in raw milk can produce heat-stable hydrolases that reduce the stability of dairy products during their shelf life. The purpose of this study was to establish a multiplex real-time fluorescence quantitative polymerase chain reaction (qPCR) rapid detection method for Pseudomonas fluorescens and Lactococcus lactis subsp. lactis, which generally produce protease in raw milk. The primers and probes with good specificity, universality and high sensitivity to the target bacteria were screened by ordinary PCR and qPCR experiments. The quantitative linear relationship and sensitivity of the method for detecting pure DNA and artificially contaminated simulated milk samples were verified. The results showed that the limit of detection (LOD) of this method for pure DNA could reach 3.16×10-5 ng/μL. The detection of artificially contaminated samples showed that the LOD for P. fluorescens and L. lactis subsp. lactis could reach 250 and 22 CFU/mL, respectively. The multiplex qPCR method established in this study has good specificity and high sensitivity, which can be used to rapidly detect psychrotrophic bacteria in raw milk. It provides an effective reference strategy for the dairy industry to ensure the microbiological quality of raw milk from the source.

P-phenylenediamines (PPDs) and PPD-quinones (PPD-Qs) in human urine and breast milk samples: Urgent need for focus on PPD-Qs and the establishment of health threshold criteria

PPDs and their oxidation products, PPD-Qs, are emerging environmental contaminants arising from the addition and oxidation of rubber products. Although numerous studies have been conducted to elucidate their risks, the primary focus has been on 6PPD and 6PPD-Q, with limited attention given to other PPDs and especially other PPD-Qs. This study comprehensively examines the occurrences of frequently used PPDs and their degradation products, PPD-Qs, in human urine and breast milk samples. The average concentrations of ΣPPDs and ΣPPD-Qs in urine were 27 ± 78 ng/mL and 16 ± 12 ng/mL, respectively. IPPD and DNPD were the predominant PPDs, while DPPD-Q, CPPD-Q, and IPPD-Q were the predominant PPD-Qs. Notably, the concentrations of 6PPD, CPPD, and DPPD were significantly lower than their oxidized quinone products. Weak or no correlations were observed between most PPDs and their corresponding PPD-Qs, suggesting that PPD-Qs in the human body are primarily derived from direct environmental intake rather than in vivo conversion of PPDs. PPDs and PPD-Qs were widely detected in breast milk, exhibiting concentrations and patterns similar to those found in urine, with comparable major pollutants. Estimated daily intakes of PPDs + PPD-Qs for infants were several μg/(kg·day), with the 95th percentile intake approaching 10 μg/(kg·day).

Optimization of a Modified QuEChERS Method of Experimental Design for Vitamin B2, B3, B6 and B9 in Powder Formula Milk by HPLC/DAD

The purpose of this work is to use HPLC/DAD to ascertain the best extraction and cleanup conditions for various forms of vitamin B in powder formula milk. The QuEChERS method’s key variables were optimized using a Box-Behnken design with 3-level 4-variable and Minimum-Run Resolution IV Screening Design. Following the selection of the best experimental setup, the suggested approach was applied to quantify four vitamins B (B2, B3, B6, and B9) in powder formula milk matrix by HPLC/PDA in accordance with AOAC and ICH guidelines. When taking into account the performance standards given in this guideline, the approach presented recovery between 83.55 and 108.43 for 4 B vitamins, which is adequate. The intra-day and inter day percentage relative standard deviations were 1.66 to 2.75% and 0.47 to 4.78%, respectively. Furthermore, the technique enabled the determination of low detection limits in less than 25 minutes of analytical time. The proposed method’s excellent accuracy, precision, and efficiency made it acceptable for regular B vitamin analysis when applied to powder formula milk samples. The findings confirmed that the modified QuEChERS technique is appropriate for routinely assessing B vitamin levels in powder formula milk matrix.

Supplementation of isoacids to lactating dairy cows fed low or high forage diets: Effects on performance, digestibility, and milk fatty acid profile

Our objective was to determine the effects of isoacids (ISO) on the lactation performance, digestibility, and milk fatty acid (FA) profile of Holstein cows fed 2 forage NDF levels (FL). The study was 10-wk long (including 2-wk for covariate) utilizing a randomized complete block design. Sixty-four mid-lactating Holstein cows [662 ± 71 kg BW, 119 ± 51 DIM, 2 ± 0.9 parity] were blocked by parity, DIM, and prior milk yield (MY) for multiparous cows or genetic merit for primiparous cows, and randomly assigned to 1 of the 4 diets (n = 16). Diets were arranged as a 2 × 2 factorial, with 2 FL containing 21 (HF) and 17% forage NDF (LF) without (WIA) or with ISO supplementation (IA, 7.85 mmol/kg DM and 3.44 mmol/kg DM for isobutyrate and 2-methylbutyrate, respectively). Diets were balanced for similar NEL (1.58 Mcal/kg DM), CP (16.0%) and total NDF (27.2%). Feed intake and MY were recorded daily. Nutrient digestibility for each cow was determined using indigestible NDF as a marker, and fecal samples were collected at 8-time points (4 h intervals between samples). Individual cow milk samples composited over a 10-wk period were analyzed using gas chromatography for FA profile. The statistical model included FL, ISO, and FL × ISO as fixed effects and block as a random effect (lme4 in R). The ISO did not affect DMI (P = 0.13), while LF had greater DMI than HF diets (27.8 vs. 26.0 kg/d; P < 0.01). However, ISO increased MY (34.7 vs. 37.2 kg/d; P < 0.01) and ECM (41.9 vs. 39.0 kg/d; P < 0.01) by 7% in HF but not in the LF diet, suggesting FL × ISO interaction (P = 0.04). Interestingly, ISO increased ADG (0.4 kg/d) but decreased MUN by 9% only in LF diet as indicated by FL × ISO interaction (P < 0.01). Additionally, ISO increased DM, OM, NDF, and CP digestibility by 10-24% in HF (P < 0.01), but not in LF (FL × ISO; P > 0.05). As expected, ISO increased milk odd chain FA profiles in the IA groups irrespective of FL, e.g., the IA had greater C15:0 (1.87 vs. 1.54 g/100g FA; P = 0.03) and a tendency to be greater C17:0 levels (0.86 vs. 0.76 g/100g FA; P = 0.05) compared with WIA groups. Overall, ISO improved MY and nutrient digestibility in the HF whereas it increased ADG and decreased MUN in LF diet. Additionally, ISO increased milk odd chain FA (C15:0 and C17:0) regardless of FL.

DNA-linked composite probe for the sensitive detection of Salmonella typhimurium in milk

Milk was favored for its nutrient richness which resulted in foodborne bacteria contamination along the production and transportation chain. Hence, there is an urgent necessary to develop high-sensitivity detection assays for early warning of bacteria-contaminated milk. Herein, a fluorescence composite probe that can bind with Salmonella typhimurium (S. typhi) was designed and prepared through a DNA bridge linking several fluorescence single probes. With the assistance of immuno-magnetic beads (IMBs) which can recognize S. typhi, IMBs/S. typhi/composite probe formed and separated from undiluted pure milk with high efficiency. As a result, the S. typhi ranging from 50-1 × 106 CFU/mL can be converted to a detectable fluorescence signal. The detection limit was calculated to be 11 CFU/mL. Meanwhile, the average recovery of S. typhi spiked in pure milk samples and milk powder samples were 95.9 % and 92.9 %, respectively. The strong anti-interference ability also made the assay an effective and promising alternative strategy for rapidly and accurately screening S. typhi in milk and milk powder.

Enzyme-accelerated catalytic DNA circuits enable rapid and one-pot detection of bacterial pathogens

Catalytic DNA circuits, serving as signal amplification strategies, can enable simple and accurate detection of pathogenic bacteria in complex matrices but suffer from low reaction rates and depths. Herein, we design an enzyme-accelerated catalytic hairpin assembly (EACHA) in which duplex DNA products are converted into hairpin reactants to continue participating in the next circuit reaction with the assistance of RNase H. Profiting from the high recyclability of the reactants, EACHA exhibits an approximately 37.6-fold enhancement in the rate constant and a two-order-of-magnitude improvement in sensitivity compared to conventional catalytic hairpin assembly (CHA). By integrating an allosteric probe with EACHA, a one-pot method is developed for rapid and direct detection of S. enterica Enteritidis (S. Enteritidis). This method is capable of detecting 15 CFU mL−1 of S. Enteritidis within 20 min, which is superior to that of real-time PCR. By testing 60 milk samples, we demonstrate this method's high accuracy in discriminating contaminated samples, with an area under the curve (AUC) of 0.997. Moreover, this method can be employed to accurately diagnose early-stage infected mice, with an AUC of 1.00 for feces samples and 0.986 for serum samples. Therefore, this study offers a simple and feasible method for identifying pathogens in complex matrices.

A spectroscopy-based proof-of-concept (POC) for developing loading of pathogen analyzer (LOPA) for dairy products

Detection of bacterial contamination in dairy products of daily use is a challenge worldwide. We have utilized Methylene Blue Reduction Test (MBRT) for quantification of the microbial count in dairy products (milk) and developed a proof-of-concept (POC) based on this for in-filed applications. In this study, we have used pasteurized milk contaminated with model bacteria Escherichia coli, and Staphylococcus aureus for the calibration and validation of the developed POC. The conversion of MB to Leuco-MB i.e., the colorimetric change due to the reduction of MB to Leuco-MB in presence of microbes has been utilized as the tool to detect presence of microbes in milk. The absorbance peak for methylene blue (MB) at 664 nm decreases significantly in presence of microbes and the blue color becomes faded. In our study, we have employed methylene blue (MB) discolouration phenomenon to estimate the microbial count in milk samples using our developed spectroscopy based POC. The limit of detection (LOD) and the limit of quantitation (LOQ) of the POC were found to be 0.32 CFU/mL and 0.97 CFU/mL. The end users of the developed POC are primarily those involved in the production, processing, testing, regulation, and research of dairy products to ensure they meet safety standards and protect public health. These include retailers, dairy farmers, dairy processors, quality control laboratories, regulatory agencies and research institutions. In our experiment, we have observed a significant change in MB absorption in the milk contaminated with microbes. The indigenously developed sensor strips designed for the working of the POC turn to colorless Leuco-MB compared to milk without the microbes. The analysis of the strips has been measured in the developed device.

Simultaneous determination of some coccidiostat antibiotics in food by liquid chromatography tandem mass spectrometry (LC-MS/MS)

Coccidiostats (anticoccidial antibiotics) are veterinary drugs widely used for the prevention and treatment of coccidiosis, especially in poultry farming. The illegal use of anticoccidial antibiotics, in the wrong dosage and duration, can lead to antibiotic residues in animal products and harm the health of consumers. In this study, a highly sensitive and accurate liquid chromatography-tandem mass spectrometry method was developed for the simultaneous analysis of anticoccidial antibiotics (diclazuril, nicarbazin, robenidin and salinomycin) in food. Samples were extracted using the QuEChERS method with acetonitrile (ACN) as the extraction solvent and cleaned with C18 adsorbent. The cleaned extracts were analyzed on an LC-MS/MS system with a C18 reversed-phase chromatography column (2.1 x 150 mm, 3.5 &amp;micro;m) and corresponding pre-column. The mobile phase used was 0.1% HCOOH in water and methanol (MeOH), the flow rate was 0.5 mL/min. The method had good specificity, the linear range was established in the range of 10-100 ng/mL, the correlation coefficient R2 &amp;gt; 0.998. The method recovery was in the range of 81-109% and the relative standard deviation (RSD%) was in the range of 1.77-10.13% for milk and meat samples. The limit of quantification and limit of detection of the method for four coccidiostat antibiotics were 3.0 &amp;micro;g/kg and 10 &amp;micro;g/kg, respectively. The method was applied to analyze the content of these four antibiotics in 31 food samples (meat and meat products, milk and dairy products) randomly purchased in Hanoi. The results did not detect four coccidiostat antibiotics in all 31 samples, initially showing that the residual contamination of coccidiostat antibiotics is basically safely controlled.

Does the Composition of Breast Milk in the First Week Postpartum Differ Due to Maternal Factors or Neonatal Birth Weight and Percent Fat Body Mass?

Background: The composition of breast milk is dependent on numerous factors. However, the precise impact of maternal health conditions on breast milk composition remains to be fully elucidated. Similarly, there is a paucity of evidence regarding the correlation between neonatal body composition and human milk. The objective of the study was to evaluate the macronutrient composition of breast milk collected during the first week postpartum from mothers with gestational diabetes and healthy mothers in terms of selected maternal and neonatal factors. Methods: n = 70 breast milk samples were analyzed for fat, protein, carbohydrate, dry matter, true protein, and energy. The results were evaluated in terms of selected maternal factors, as well as neonatal birth weight (BW) and percent fat body mass (%FBM), which was assessed with a bioimpedance method. Results: Energy of breast milk in the study group was as follows: median 55.5 kcal/dL in GDM G1, median 55.5 kcal/dL in GDM G2, and median 65.0 kcal/dL in non-GDM, which differed significantly in Kruskal–Wallis ANOVA. Neonatal %FBM, but not BW, was found to be significantly related to concentrations of protein, true protein and dry matter. Maternal gestational weight gain, history of hypothyroidism, and classification by study group were identified as factors affecting both breast milk and neonatal body composition. Conclusions: The composition of breast milk in the initial week following childbirth is predominantly determined by maternal factors. The relationship between selected macronutrients and neonatal percent fat body mass was found to be weak, yet the significance of this finding is unclear. Further research is required to ascertain the influence of maternal milk composition on early infantile nutritional programming.

A Lincomycin-Specific Antibody Was Developed Using Hapten Prediction, and an Immunoassay Was Established to Detect Lincomycin in Pork and Milk.

Prolonged consumption of animal-derived foods containing high levels of lincomycin (LIN) residues can adversely impact human health. Therefore, it is essential to develop specific antibodies and immunoassay methods for LIN. This study utilized computational chemistry to predict the efficacy of LIN haptens prior to chemical synthesis, with subsequent confirmation obtained through an immunization experiment. A hybridoma cell line named LIN/1B11 was established, which is specific to LIN. The optimized indirect competitive enzyme-linked immunosorbent assay (ic-ELISA) method exhibited high specificity for detecting LIN residues, with an IC50 value of 0.57 ± 0.03 µg/kg. The method effectively detected LIN residues in pork and milk samples, achieving a limit of detection (LOD) ranging from 0.81 to 1.20 µg/kg and a limit of quantification (LOQ) ranging from 2.09 to 2.29 µg/kg, with recovery rates between 81.9% and 108.8%. This study offers a valuable tool for identifying LIN residues in animal-derived food products. Furthermore, the efficient hapten prediction method presented herein improves antibody preparation efficiency and provides a simple method for researchers in screening haptens.

Using Nuclear Methods in X-ray Fluorescence Spectroscopy to Quantify Heavy Metals in Senegalese Powdered Milk: Improving Milk Safety

Applying X-ray fluorescence (XRF), this study investigated the elemental analysis and heavy metal contents in five Senegalese powdered milk samples (V1, L1, H1, G1, and D1). The primary focus was on Aluminum (Al), Calcium (Ca), Potassium (K), Phosphorous (P), and Chlorine (Cl), with special attention given to the compliance of these elements with safety standards. The analysis revealed that Aluminum was either absent or present in minimal quantities across all samples, suggesting that the powdered milk is largely free from this element. Calcium levels were found to be consistently higher than the Acceptable Maximum Level (AML) across all samples, with the H1 sample significantly exceeding the AML by approximately 11.1 times, with a concentration of 27,745.06 ± 310.16 ppm. This indicates a potential risk of excessive calcium intake from this sample. Potassium concentrations varied significantly; while the V1 sample remained within acceptable limits, the G1 sample exhibited potassium levels substantially above the AML, reaching 51,058.15 ± 456.13 ppm, which could pose health concerns if consumed in large quantities. Chlorine concentrations generally met the AML, except for the G1 sample, which slightly surpassed the limit at 3631.04 ± 31.23 ppm. The phosphorus content in the H1 sample was notably high, though further details are needed to fully assess its implications. The study underscores the necessity for continuous monitoring of heavy metal and elemental levels in powdered milk to ensure consumer safety.

Porous mesh poly-L-Cysteine and lamellar polynicotinamide-based electrochemical sensor for melatonin detection in milk and tablets

An poly L-Cys/NADH/GCE electrochemical sensor for melatonin (MT) detection was developed by electropolymerising reticulated poly L-cysteine (poly L-Cys) and lamellar poly-nicotinamide adenine dinucleotide (NADH) on a glassy carbon electrode (GCE). The morphology, elemental composition, and elemental states of the fabricated electrochemical sensor were characterized through scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), and X-ray photoelectron spectroscopy (XPS). Additionally, the electrochemical behavior of melatonin on poly L-Cys/NADH/GCE was investigated through electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), and differential pulse voltammetry (DPV). The results showed a linear relationship for MT across the concentration range of 0.1 to 1000.0 µmol/L, with linear equations Ip(µA) = 0.0978c(µmol/L) + 0.0981, R2 = 0.9937 (concentration range: 0.1–40.0 µmol/L), and Ip(µA) = 0.0137c(µmol/L) + 5.2741, R2 = 0.9636 (concentration range: 40.0–1000.0 µmol/L). The recoveries in milk samples ranged from 98.71 % to 107.98 %, with relative standard deviations (RSD) for actual tablet samples below 8.60 %. Furthermore, the electro-oxidation sites of MT and its reaction process were deduced by calculating electron orbitals and electron cloud diagrams.

Watermelon Derived Urease Immobilized Gold Nanoparticles-Graphene Oxide Transducer for Direct Detection of Urea in Milk Samples.

Urea contamination in milk poses significant health risks, including kidney failure, urinary tract obstruction, fluid loss, shock, and gastrointestinal bleeding. This highlights the need for sensitive, rapid, and reliable methods to detect traces amount of urea in milk. In this study, we designed an electrochemical transducer for urea detection by utilizing purified watermelon urease (Urs), gold nanoparticles (AuNPs), and graphene oxide (GO). The nanomaterials and biosensor probe were characterized using UV-vis spectroscopy, XPS, TEM, XRD, FTIR, AFM, CV, EIS, and DPV. The engineered probe (GCE/AuNPs/GO/Urs) demonstrated a broad linear detection range of 5 to 90 mg/dL and a low limit of detection (LOD) of 0.037 (±0.012) mg/dL (RSD < 3.7%). The biosensor was tested for potential interferents that may be present in adulterated milk and an exceptionally low coefficient of selectivity (ksel <0.1) was obtained. Evaluation of milk samples from a local dairy farm showed good recovery rates from 93.13% to. 98.79% (RSD < 4.28%, n = 3), indicating reliable detection capabilities. Stability tests confirmed the sensor's reproducibility and consistent performance. Additionally, a comparison study of the system was carried out using the purified watermelon urease and the commercially available urease. Herein, the results obtained using the sensor probe was finally validated with the gold standard method.

Self-validating photoelectrochemical/photoelectrochromic visual sensing platform for ciprofloxacin precise detection in milk

BackgroundIn the process of food production, ciprofloxacin (CIP), a highly prescribed fluoroquinolone antibiotic, is often excessively used to reduce the risk of bacterial infection. However, this overuse can cause severe harm to human health, including allergic responses, gastrointestinal complications, and potential renal dysfunction. The development of a robust and precise detection method for CIP is crucial, given the interconnection between food security and human health. Compared to the single-mode detection methods currently in use, dual-mode detection provides enhanced accuracy in detecting results due to its inherent self-validation and self-correction capabilities. ResultsHerein, a photoelectrochemical and photoelectrochromic self-validated dual-mode sensing platform was developed to detect CIP in milk by laser etching method, signal generation (SG) region, signal output (SO) region and conductive channel was integrated on the same fluoide-doped tin oxide electrode and Ti3C2/ZnO composite was modified in the electron SG region, and Prussian blue (PB) was electrodeposited in the SO region. By irradiating the SG region, photogenerated electrons are generated and injected into the SO region through the conductive pathway, resulting in the reduction of the PB to Prussian white (PW). Because the binding of CIP to its specifically recognized aptamers hinders electron transfer, a “Signal-Off” response mechanism can be used for simultaneous quantitative detection of CIP using photocurrent or color changes, which presents a great advantage in the detection process. SignificanceBy integrating different detection mechanisms within a single linear range, the constructed dual-mode sensor has a wide detection range and low detection limit in milk samples. Additionally, it shows good selectivity in anti-interference experiments, providing a new idea for the development of visual analysis and detection platforms for food safety.

The Characteristics of Milk Fatty Acid Profile Predicted by Fourier-Transform Mid-Infrared Spectroscopy (FT-MIRS) in Chinese Holstein Cows.

Fatty acid is an important factor affecting the nutritional quality of milk. In this study, we collected and assessed 78,086 milk samples from 12,065 Chinese Holstein cows from 11 farms in Northern China from November 2019 to September 2022. The contents of eight fatty acid groups were predicted using FT-MIRS-based models. The contents of TFAs, SFAs, UFAs, MUFAs, PUFAs, and LCFAs in milk reached the highest at 96-125 DIM, and SCFA and MCFA contents reached the highest at 276-305 DIM. With the increase in somatic cell score, the contents of various fatty acid groups in milk gradually decreased, and the nutritional value of milk and flavor of dairy products gradually deteriorated. The contents of high-quality fatty acids in milk, particularly UFAs and MUFAs, were significantly higher in the non-pregnant state than in the pregnant state. However, SCFA and MCFA contents exhibited the opposite pattern. Our findings provided valuable information on the content and distribution range of fatty acid groups in milk from Chinese Holstein cows. Further analysis is warranted to explore the breeding of Chinese Holstein cows providing milk with abundant beneficial fatty acids.