Impact of residual antibiotics on microbial decomposition of livestock manures in Eutric Regosol: Implications for sustainable nutrient recycling and soil carbon sequestration.

The land application of livestock manure has been widely acknowledged as a beneficial approach for nutrient recycling and environmental protection. However, the impact of residual antibiotics, a common contaminant of manure, on the degradation of organic compounds and nutrient release in Eutric Regosol is not well understood. Here, we studied, how oxytetracycline (OTC) and ciprofloxacin (CIP) affect the decomposition, microbial community structure, extracellular enzyme activities and nutrient release from cattle and pig manure using litterbag incubation experiments. Results showed that OTC and CIP greatly inhibited livestock manure decomposition, causing a decreased rate of carbon (28%-87%), nitrogen (15%-44%) and phosphorus (26%-43%) release. The relative abundance of gram-negative (G-) bacteria was reduced by 4.0%-13% while fungi increased by 7.0%-71% during a 28-day incubation period. Co-occurrence network analysis showed that antibiotic exposure disrupted microbial interactions, particularly among G- bacteria, G+ bacteria, and actinomycetes. These changes in microbial community structure and function resulted in decreased activity of urease, ß-1,4-N-acetyl-glucosaminidase, alkaline protease, chitinase, and catalase, causing reduced decomposition and nutrient release in cattle and pig manures. These findings advance our understanding of decomposition and nutrient recycling from manure-contaminated antibiotics, which will help facilitate sustainable agricultural production and soil carbon sequestration.

Advances in single-cell transcriptomics in animal research.

Understanding biological mechanisms is fundamental for improving animal production and health to meet the growing demand for high-quality protein. As an emerging biotechnology, single-cell transcriptomics has been gradually applied in diverse aspects of animal research, offering an effective method to study the gene expression of high-throughput single cells of different tissues/organs in animals. In an unprecedented manner, researchers have identified cell types/subtypes and their marker genes, inferred cellular fate trajectories, and revealed cell‒cell interactions in animals using single-cell transcriptomics. In this paper, we introduce the development of single-cell technology and review the processes, advancements, and applications of single-cell transcriptomics in animal research. We summarize recent efforts using single-cell transcriptomics to obtain a more profound understanding of animal nutrition and health, reproductive performance, genetics, and disease models in different livestock species. Moreover, the practical experience accumulated based on a large number of cases is highlighted to provide a reference for determining key factors (e.g., sample size, cell clustering, and cell type annotation) in single-cell transcriptomics analysis. We also discuss the limitations and outlook of single-cell transcriptomics in the current stage. This paper describes the comprehensive progress of single-cell transcriptomics in animal research, offering novel insights and sustainable advancements in agricultural productivity and animal health.

Defining correlates of protection for mammalian livestock vaccines against high-priority viral diseases.

Enhancing livestock biosecurity is critical to safeguard the livelihoods of farmers, global and local economies, and food security. Vaccination is fundamental to the control and prevention of exotic and endemic high-priority infectious livestock diseases. Successful implementation of vaccination in a biosecurity plan is underpinned by a strong understanding of correlates of protection-those elements of the immune response that can reliably predict the level of protection from viral challenge. While correlates of protection have been successfully characterized for many human viral vaccines, for many high-priority livestock viral diseases, including African swine fever and foot and mouth disease, they remain largely uncharacterized. Current literature provides insights into potential correlates of protection that should be assessed during vaccine development for these high-priority mammalian livestock viral diseases. Establishment of correlates of protection for biosecurity purposes enables immune surveillance, rationale for vaccine development, and successful implementation of livestock vaccines as part of a biosecurity strategy.

Beyond the hype: using AI, big data, wearable devices, and the internet of things for high-throughput livestock phenotyping.

Phenotyping of animals is a routine task in agriculture which can provide large datasets for the functional annotation of genomes. Using the livestock farming sector to study complex traits enables genetics researchers to fully benefit from the digital transformation of society as economies of scale substantially reduces the cost of phenotyping animals on farms. In the agricultural sector genomics has transitioned towards a model of 'Genomics without the genes' as a large proportion of the genetic variation in animals can be modelled using the infinitesimal model for genomic breeding valuations. Combined with third generation sequencing creating pan-genomes for livestock the digital infrastructure for trait collection and precision farming provides a unique opportunity for high-throughput phenotyping and the study of complex traits in a controlled environment. The emphasis on cost efficient data collection mean that mobile phones and computers have become ubiquitous for cost-efficient large-scale data collection but that the majority of the recorded traits can still be recorded manually with limited training or tools. This is especially valuable in low- and middle income countries and in settings where indigenous breeds are kept at farms preserving more traditional farming methods. Digitalization is therefore an important enabler for high-throughput phenotyping for smaller livestock herds with limited technology investments as well as large-scale commercial operations. It is demanding and challenging for individual researchers to keep up with the opportunities created by the rapid advances in digitalization for livestock farming and how it can be used by researchers with or without a specialization in livestock. This review provides an overview of the current status of key enabling technologies for precision livestock farming applicable for the functional annotation of genomes.

Reduction of organic matter containing benzimidazole and toxicity in real livestock wastewater through advanced oxidation processes.

Livestock wastewater (LWW) has a complex characteristic of high organic matter content, metals, nutrients, and pharmaceutical compounds. Advanced oxidation processes (AOP) are a potential option for treating this wastewater. This study evaluated real LWW and the performance of UV/H2O2 and UV/peroxymonosulfate (UV/PMS) for its treatment. The experiments were conducted in a UV photoreactor (16 mW/m2, λ = 254 nm). The oxidant agents (Ox) tested were H2O2 and PMS, each at low, medium, and high TOC/Ox molar ratios. A pretreatment based on chemical precipitation was implemented. Annually, the LWW showed total organic carbon (TOC) values of 859 ± 13.37 mg/L, 168.85 ± 1.62 mg/L of total Kjeldahl nitrogen (TKN), and toxicity of 96% v/v. In the dry season, albendazole (ABZ) (95.3 ± 35.16 mg/L), Cu (4.3 ± 0.23 mg/L), Fe (3.8 ± 0.38 mg/L), and suspended solids (SS) (1015 ± 586.9 mg/L) were identified, so pretreatment was implemented. The UV/PMS process with the lowest molar ratio [TOC/Ox 1:0.75] removed significantly lower TOC concentrations (p < 0.05), but toxicity decreased entirely. The study of mineralization and toxicity provided insight into the changes in LWW during treatment with AOP. Furthermore, it contributed to establishing the technical basis for implementing efficient treatment processes.

Livestock-Forest integrated system attenuates deleterious heat stress effects in bovine oocytes.

Global warming poses significant challenges to the fertility of tropical dairy cattle. One promising approach to mitigate heat stress effects on reproductive function and reduce the carbon footprint is the use of integrated livestock-forest (ILF) systems. The aim of this study was to investigate the effects of two different systems, namely Full Sun (FS) and ILF, on maternal hyperthermia and oocyte quality of Holstein and Girolando heifers during the tropical summer season. The temperature-humidity index (THI) data revealed intense heat stress during the experiment. Both the system (P<0.01) and the breed (P<0.01) factors had a significant impact on vaginal temperature, being hyperthermia more pronounced in the FS system and in the Holstein breed. Over the five time points collected at a 33-day interval, we observed distinct patterns for ILF (P=0.65) and FS (P<0.001) systems, suggesting an adaptive response in animals kept in FS systems. Furthermore, oocyte quality assessment revealed an effect of the system for oocyte diameter (P<0.001) and levels of IGFBP2 (P<0.001), and caspase 3 levels showed a decrease in ILF compared to FS for both Holstein (P<0.001) and Girolando (P<0.001) breeds. Collectively, these parameters indicate that oocyte quality during the summer months was superior in animals maintained in the ILF system. In conclusion, the ILF system demonstrated promising results in attenuating maternal hyperthermia and mitigating its effects on oocyte quality. Additionally, our observations suggest that animals in the FS system may exhibit an adaptive response to heat stress.

Using EPIWATCH® open-source surveillance to describe the epidemiology of lumpy skin disease outbreaks in South and Southeast Asia (2022-2023).

Lumpy skin disease (LSD) poses a significant threat to animal welfare and leads to economic losses in affected countries. LSD outbreaks may also impact trade and regional relationships. South and Southeast Asia, with its dense livestock population and intricate trade networks, are susceptible to LSD outbreaks. Indonesia confirmed its first LSD cases in March 2022, leading to substantial livestock losses by August 2023. Australia, an important player in the global beef industry, faced trade disruptions due to LSD concerns raised by Indonesia and Malaysia, claims that were refuted by Australian authorities. The dispute highlights the need for good surveillance. EPIWATCH®, employing artificial intelligence, provides real-time outbreak signals, and spatial analysis can identify LSD hotspots, leading to timely interventions. This study uses data collected by the EPIWATCH® open-source disease surveillance system at the University of New South Wales in 2022 and 2023 and compares it for timeliness and completeness with data available on the World Animal Health Information System (WAHIS). We found more timely reports of LSD outbreaks in EPIWATCH® compared to WAHIS. In conclusion, open-source surveillance tools like EPIWATCH® can provide timely alerts of disease emergence, such as LSD outbreaks in South and Southeast Asia, which can supplement formal reporting systems.

Technical Note: Assessing GPS Sensor Accuracy Using Real-Time Kinematic Device for Livestock Tracking.

The technical aspects of GPS sensors have been improved substantially over the years, making them valuable and popular tools for livestock tracking. Using GPS sensors allows producers and researchers to locate grazing livestock, monitor their behavior and distribution, and gather referencing information about the health status of the animals and pastures. However, interpreting the behavior of grazing livestock, such as cattle, from GPS data can be difficult due to positioning inaccuracies. Without knowing the positioning accuracy range of GPS sensors, achieving high-level confidence in determining grazing densities and identifying abnormal livestock movement patterns is challenging. In this study, the positioning accuracy of three different types of commercial GPS sensors was assessed using a survey-grade real-time kinematics (RTK) device. We outlined the procedures, essential equations and compared the recorded locations from the GPS sensors with reference locations collected from the RTK device. The results demonstrated statistically significant differences (p < 0.05) in positioning accuracy between different types of GPS sensors. The circular error probable (CEP) at 95% probability levels (CEP95) of the three sensors ranged from 2.46 m to 11.06 m. This accuracy varied among individual sensors within the same brand and across different brands, which underscores the importance of evaluating positioning accuracy of GPS sensors in livestock tracking. This study provides significant insights for animal scientists, ecologists, and livestock producers engaged in GPS sensor-related research and practices.

Relevance of farm-scale indicators and tools for farmers to assess sustainability of their mixed crop-ruminant livestock systems.

Ensuring the sustainability and circularity of mixed crop-ruminant livestock systems is essential if they are to deliver on the enhancement of long-term productivity and profitability with a smaller footprint. The objectives of this study were to select indicators in the environmental, economic and social dimensions of sustainability of crop-livestock systems, to assess if these indicators are relevant in the operational schedule of farmers, and to score the indicators in these farm systems. The scoring system was based on relevance to farmers, data availability, frequency of use, and policy. The study was successful in the assemblage of a suite of indicators comprising three dimensions of sustainability and the development of criteria to assess the usefulness of these indicators in crop-ruminant livestock systems in distinct agro-climatic regions across the globe. Except for ammonia emissions, indicators within the Emissions to air theme obtained high scores, as expected from mixed crop-ruminant systems in countries transitioning towards low emission production systems. Despite the inherent association between nutrient losses and water quality, the sum of scores was numerically greater for the former, attributed to a mix of economic and policy incentives. The sum of indicator scores within the Profitability theme (farm net income, expenditure and revenue) received the highest scores in the economic dimension. The Workforce theme (diversity, education, succession) stood out within the social dimension, reflecting the need for an engaged labor force that requires knowledge and skills in both crop and livestock husbandry. The development of surveys with farmers/stakeholders to assess the relevance of farm-scale indicators and tools is important to support direct actions and policies in support of sustainable mixed crop-ruminant livestock farm systems.

Harnessing meta-omics to unveil and mitigate methane emissions in ruminants: Integrative approaches and future directions.

Methane emissions from enteric fermentation present a dual challenge globally: they not only contribute significantly to atmospheric greenhouse gases but also represent a considerable energy loss for ruminant animals. Utilizing high-throughput omics technologies to analyze rumen microbiome samples (meta-omics, i.e., metagenomics, metatranscriptomics, metaproteomics, metabolomics) holds vast potential for uncovering the intricate interplay between diet, microbiota, and methane emissions in these animals. The primary obstacle is the effective integration of diverse meta-omic approaches and their broader application across different ruminant species. Genetic variability significantly impacts methane production in ruminants, suggesting that genomic selection could be a viable strategy to reduce emissions. While substantial research has been conducted on the microbiological aspects of methane production, there remains a critical need to delineate the specific genetic interactions between the host and its microbiome. Advancements in meta-omics technologies are poised to shed light on these interactions, enhancing our understanding of the genetic factors that govern methane output. This review explores the potential of meta-omics to accelerate genetic advancements that could lead to reduced methane emissions in ruminants. By employing a systems biology approach, the integration of various omics technologies allows for the identification of key genomic regions and genetic markers linked to methane production. These markers can then be leveraged in selective breeding programs to cultivate traits associated with lower emissions. Moreover, the review addresses current challenges in applying genomic selection for this purpose and discusses how omics technologies can overcome these obstacles. The systematic integration and analysis of diverse biological data provide deeper insights into the genetic underpinnings and overall biology of methane production traits in ruminants. Ultimately, this comprehensive approach not only aids in reducing the environmental impact of agriculture but also contributes to the sustainability and efficiency of livestock management.

Eco-conscious potentiometric sensing: a multiwalled carbon nanotube-based platform for tulathromycin monitoring in livestock products.

Tulathromycin (TUL) is a widely used veterinary antibiotic for treating bovine and porcine respiratory infections. Consuming animal-derived food contaminated with this medication may jeopardize human health. This work adopted the first portable potentiometric platform for direct TUL sensing in pharmaceutical and food products. The sensor employed a plasticized PVC membrane on a glassy carbon electrode doped with calix[6]arene and multi-walled carbon nanotubes (MWCNT) in a single solid contact layer for selective binding and signal stability. Characterization via scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR) confirmed the material's integrity. The MWCNT-based sensor produced a stable Nernstian response (1.0 × 10-7 to 1.0 × 10-3 M) and a limit of detection (LOD) of 9.76 × 10-8 M with instantaneous response (8 ± 2 s). IUPAC validation revealed high selectivity for TUL against interfering ions, minimal drift (0.6 mV/h), and functionality over a broad pH range (2.0-7.0), allowing direct application to dosage form, spiked milk, and liver samples. Eco-Scale, AGREE, and Whiteness assessment proved the method's ecological sustainability, economic viability, and practical feasibility, surpassing traditional approaches.

Gender transformative innovation: Women's inclusion in livestock vaccine systems in northern Ghana.

CONTEXT: Owning livestock can support women's empowerment and progress toward gender-equitable agri-food systems. Gender inequality, however, can reduce women's ownership of livestock and access to animal vaccines. Gender accommodative approaches (GAAs), and more recently gender transformative approaches (GTAs), are increasingly implemented in development interventions. However, their impact on women's empowerment has not been systematically tested. Here, we describe the 'Women Rear Project', implemented in northern Ghana between 2019 and 2023, and assess the impact of GTAs and GAAs on women's empowerment, ownership of livestock, and access to animal vaccines. OBJECTIVE: We sought to systematically assess changes conferred by GAAs and GTAs on gender norms and women's empowerment and access to animal vaccines. METHODS: Using a mixed-methods approach, in 2021 and 2023 we collected quantitative and qualitative data regarding women's empowerment, gender norms, and access to animal vaccines. Qualitative data regarding women's and men's conceptualizations of gender norms and women's empowerment were obtained via focus group discussions and key informant interviews. Quantitative survey data were obtained from 500 households, using the Women's Empowerment in Livestock Index (WELI). Quantitative data on livelihood indicators were also collected, using the Rural Household Multi-Indicator Survey (RHoMIS) tool. We systematically assessed changes between baseline (2021) and endline (2023) in local conceptualizations of empowerment in the livestock sector, the effects of GTAs and GAAs on such conceptualizations, and how empowerment was experienced by women and men and the implications for women's access to animal vaccines. RESULTS AND CONCLUSION: Local conceptualizations of empowerment in 2021, among both women and men, emphasized financial independence, decision-making autonomy, self-reliance, and problem-solving skills. In 2023, this conceptualization of empowerment had expanded to include the ability to act without external restrictions; women were empowered by managing resources, running successful businesses, and making decisions in consultation with their husbands. Furthermore, women in communities where GTAs had been enacted scored significantly higher in empowerment compared with women in communities where only GAAs had been introduced. Gender norms impacted empowerment indicators, with respect among household members and autonomy in income both contributing to disempowerment. Gender norms also affected respondents' reporting. Women's access to livestock vaccines was more positive in GTA/GAA communities. We recommend efforts are made to reduce restrictive gender norms and enhance women's empowerment and access to resources such as animal vaccines. SIGNIFICANCE: We offer recommendations for pathways toward women's empowerment and healthy livestock via inclusive innovations in agri-food systems.

Pollinator response to livestock grazing: implications for rangeland conservation in sagebrush ecosystems.

World food supplies rely on pollination, making this plant-animal relationship a highly valued ecosystem service. Bees pollinate flowering plants in rangelands that constitute up to half of global terrestrial vegetation. Livestock grazing is the most widespread rangeland use and can affect insect pollinators through herbivory. We examined management effects on bee abundance and other insect pollinators on grazed and idle sagebrush rangelands in central Montana, USA. From 2016 to 2018, we sampled pollinators on lands enrolled in rest-rotation grazing, unenrolled grazing lands, and geographically separate idle lands without grazing for over a decade. Bare ground covered twice as much area (15% vs. 7) with half the litter (12% vs. 24) on grazed than idle regardless of enrollment. Bee pollinators were 2-3 times more prevalent in grazed than idle in 2016-2017. In 2018, bees were similar among grazed and idled during an unseasonably wet and cool summer that depressed pollinator catches; captures of secondary pollinators was similar among treatments 2 of 3 study years. Ground-nesting bees (94.6% of total bee abundance) were driven by periodic grazing that maintained bare ground and kept litter accumulations in check. In contrast, idle provided fewer nesting opportunities for bees that were mostly solitary, ground-nesting genera requiring unvegetated spaces for reproduction. Managed lands supported higher bee abundance that evolved with bison grazing on the eastern edge of the sagebrush ecosystem. Our findings suggest that periodic disturbance may enhance pollinator habitat, and that rangelands may benefit from periodic grazing by livestock.

Inferring resource use from functional area presence in a small, single-flock of chickens in a mobile barn.

In poultry behavior research, the reliance on presence data to estimate actual resource usage has substantially increased with the advent of tracking technologies such as radio frequency identification (RFID) and image-based systems. Although such widely used technologies are fundamentally designed for presence tracking, many studies claim to use them to investigate actual resource usage. This study investigates whether the duration of chickens' presence near key resources accurately reflects their actual usage. To this end, we analyzed 210 ten-min video sequences from 5 days of recordings of 21 chickens, focusing on their proximity to and use of 6 key resources in a mobile poultry barn. Human observers manually assessed the durations of proximity-presence in defined functional areas of interest-and resource use for each individual in the video sequences. Significant correlations (Spearman's coefficient 0.83-1) were found for most resources, except the pophole (Rho = -0.30). Usage-to-presence ratios varied: perches exceeded 87%, feeder and enrichments around 66%, drinker 50%, and pophole 10%. Our findings highlight that mere proximity to resources does not always guarantee their effective use. We emphasize the need for careful interpretation of data from tracking technologies, acknowledging the distinction between mere proximity and actual resource use. Future studies should include larger sample sizes and varied conditions to ensure broader applicability.

SARS-CoV-2 antibody prevalence by industry, workplace characteristics, and workplace infection prevention and control measures, North Carolina, USA, 2021 to 2022.

The COVID-19 pandemic has disproportionately affected workers in certain industries and occupations, and the workplace can be a high-risk setting for SARS-CoV-2 transmission. In this study, we measured SARS-CoV-2 antibody prevalence and identified work-related risk factors in a population primarily working at industrial livestock operations. We used a multiplex salivary SARS-CoV-2 IgG assay to determine infection-induced antibody prevalence among 236 adult (≥18 yr) North Carolina residents between February 2021 and August 2022. We used the National Institute for Occupational Safety and Health Industry and Occupation Computerized Coding System (NIOCCS) to classify employed participants' industry. Most participants (55%, 95% confidence interval [CI] 49% to 62%) were infection-induced IgG positive, including 71% (95% CI 60% to 83%) of animal slaughtering and processing industry workers, 1.5 to 4.3 times North Carolina general population infection-induced seroprevalence estimates during overlapping time periods. Considering self-reported diagnostic test positivity and vaccination history in addition to antibodies, the proportion of participants with evidence of prior infection increased slightly to 61% (95% CI 55% to 67%), including 75% (95% CI 64% to 87%) of animal slaughtering and processing workers. Participants with more than 1000 compared to 10 or fewer coworkers at their jobsite had higher odds of prior infection (adjusted odds ratio 4.5, 95% CI 1.0 to 21.0). This study contributes evidence of the severe and disproportionate impacts of COVID-19 on animal slaughtering and processing workers and workers in large congregate settings.

Malaria prevalence and associated population and ecological risk factors among women and children under 5 years in Rwanda.

Background: Malaria continues to pose a substantial public health concern in Rwanda, despite substantial progress in recent years. Little is known about effect of ecological factors and their interaction in malaria transmission. Understanding the prevalence and identifying risk factors, both population-based and ecological such as zooprophylaxis and irrigation are crucial for targeted intervention strategies. Methods: This study analyzed the 6th iteration of the Demographic and Health Survey conducted in Rwanda between 2019 and 2020. The study employed a nationally representative sample, utilizing rapid diagnostic tests and blood smear microscopy to determine malaria prevalence among women and under 5 years old children. Logistic regression analysis was used in R version 4.3.1 to evaluate population and ecological risk factors that are associated with malaria prevalence. Additionally, interactive effects of ecological factors on malaria were evaluated. Results: The analysis revealed a notable malaria prevalence in Rwanda, emphasizing the continued significance of malaria control efforts. Approximately 1.79 % of the population tested positive for malaria. Proximity to irrigation sites and lowland were identified as significant risk factors to malaria with adjusted odds ratio (AOR) 1.47(1.00-2.15) and AOR 5.44(4.01-8.61) respectively however cattle ownership exhibited a protective effect AOR 0.41(0.23-0.72). Interactive effects of livestock and irrigation on malaria prevalence were revealed. Additionally, population-based risk factors, including age, household wealth, utilization of Insecticide Treated Nets, were associated with varying malaria risks. Conclusion: This study underscores the persistent challenge of malaria in Rwanda and the importance of tailored intervention strategies. To effectively combat malaria, efforts must consider the interplay of ecological factors, such as high cattle density, and demographic factors, targeting high-risk populations, especially those living in proximity to lowlands and irrigation areas. These findings provide critical insights for advancing malaria elimination efforts in Rwanda and serve as a basis for comprehensive public health planning and action.

Editing microbes to mitigate enteric methane emissions in livestock.

Livestock production significantly contributes to greenhouse gas (GHG) emissions particularly methane (CH4) emissions thereby influencing climate change. To address this issue further, it is crucial to establish strategies that simultaneously increase ruminant productivity while minimizing GHG emissions, particularly from cattle, sheep, and goats. Recent advancements have revealed the potential for modulating the rumen microbial ecosystem through genetic selection to reduce methane (CH4) production, and by microbial genome editing including CRISPR/Cas9, TALENs (Transcription Activator-Like Effector Nucleases), ZFNs (Zinc Finger Nucleases), RNA interference (RNAi), Pime editing, Base editing and double-stranded break-free (DSB-free). These technologies enable precise genetic modifications, offering opportunities to enhance traits that reduce environmental impact and optimize metabolic pathways. Additionally, various nutrition-related measures have shown promise in mitigating methane emissions to varying extents. This review aims to present a future-oriented viewpoint on reducing methane emissions from ruminants by leveraging CRISPR/Cas9 technology to engineer the microbial consortia within the rumen. The ultimate objective is to develop sustainable livestock production methods that effectively decrease methane emissions, while maintaining animal health and productivity.

Ultrasound probe enhanced enzymatic hydrolysis for rapid separation of ß2-adrenergic agonists from animal urine and livestock wastewater: Applicability to biomonitoring investigation.

BACKGROUND: An increasing number of ß2-adrenergic agonists are illicitly used for growth promoting and lean meat increasing in animal husbandry in recent years, but the development of analytical methods has lagged behind these emerging drugs. RESULTS: Here, we designed and developed an ultrasound probe enhanced enzymatic hydrolysis reactor for quick separation and simultaneously quantification of 22 ß2-adrenergic agonists in animal urine and livestock wastewater. Owing to the enhancement of the conventional enzymatic digestion through the ultrasound acoustic probe power, only 2 min was required for the comprehensively separation of ß2-adrenergic agonists from the sample matrices, making it a much more desirable alternative tool for high-throughput investigation. The swine, bovine and sheep urines (n = 287), and livestock wastewater (n = 15) samples, collected from both the north and south China, were examined to demonstrate the feasibility and capability of the proposed approach. Six kinds of ß2-adrenergic agonists (clenbuterol, salbutamol, ractopamine, terbutaline, clorprenaline and cimaterol) were found in animal urines, with concentrations ranged between 0.056 µg/L (terbutaline) and 5.79 µg/L (clenbuterol). Up to nine ß2-adrenergic agonists were detected in wastewater samples, of which four were found in swine farms and nine in cattle/sheep farms, with concentration levels from 0.069 µg/L (tulobuterol) to 2470 µg/L (clenbuterol). SIGNIFICANCE: Interestingly, since ß2-adrenergic agonists are usually considered to be abused mainly in the pig farms, our data indicate that both the detection frequencies and concentrations of these agonists in the ruminant farms were higher than the pig farms. Furthermore, the findings of this work indicated that there is a widespread occurrence of ß2-adrenergic agonists in livestock farms, especially for clenbuterol and salbutamol, which may pose both food safety and potential ecological risks. We recommend that stricter controls should be adopted to prevent the illegally usage of these ß2-adrenergic agonists in agricultural animals, especially ruminants, and they should also be removed before discharging to the environment.

Targeted quantification of per- and polyfluoroalkyl substances (PFASs) in livestock serum by liquid chromatography-high-resolution mass spectrometry.

Per- and polyfluoroalkyl substances (PFASs) have attracted increasing attention due to their persistence in the environment and potential adverse effects on human and animal health. The detection and quantification of PFASs in livestock could substantially contribute to monitoring their presence within the food chain. We developed a targeted quantification method for 34 PFASs in livestock serum by liquid chromatography-high-resolution mass spectrometry (LC-HRMS). We used protein precipitation for serum sample extraction and accurate mass measurement of targeted PFAS compounds for quantification. We validated the method with various analytical parameters, achieving accuracy of 70-120% and precision of <20%. The method also demonstrated good analytical sensitivity, with a limit of detection of <0.051 ng/mL and a limit of quantification of <0.175 ng/mL. When applying the developed method to actual serum samples from a variety of livestock, we successfully identified and quantified various PFASs in different livestock species. Our method has the potential to be a valuable tool for veterinary laboratory analysis of PFAS contamination in livestock.

Residues of veterinary drugs and heavy metal contamination in livestock and poultry meat from Hunan Province, China.

Livestock and poultry meat consumption play an important role in the dietary structure of Chinese residents. However, the extent of residues of veterinary drugs and heavy metal contamination in livestock and poultry meat and their by-products within Hunan province is not extensively studied. This survey aimed to fill this gap by assessing the presence of 76 veterinary drug residues in Hunan province. Additionally, heavy metals in pork and pig liver were also assessed. The obtained findings suggest that residues of veterinary drugs are still present in livestock and poultry meat, as well as their by-products, within Hunan province. However, the contamination of heavy metals remained within the food safety limits. These results underscore the significance of establishing more refined criteria for assessing human exposure, taking into account factors such as consumption patterns, product varieties and chemical compounds of interest.