Band gap and excitonic wavelength of group IIB-VIA semiconductors revealing the capacity of accessing the visible light spectrum, thereby exhibiting their potential applications in optical and electronic devices.
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The current scenario of world depicts the valuation of nano sized materials (1–100 nm) [1] quite high in various areas of scientific applications, such as, photovoltaic solar cells [2, 3, 4, 5], optoelectronics [6, 7, 8, 9, 10], biomedical [11, 12, 13], food and agriculture, industrial, textiles, etc. [14]. It has been observed that larger ratio of surface to volume of a catalyst would facilitate a better catalytic activity; therefore the size controlled synthesis of QDs to produce a larger ratio of surface to volume is of great importance. The enhanced surface to volume ratio would cause increase of surface states, which will change the activity of electrons and holes, thereby, affecting the chemical reaction dynamics as a whole. Studies reveal that the size quantization increases the band gap of photo catalysts to enhance the redox potential of conduction band electrons and valence band holes [15, 16, 17]. The resulting dominance of these tiny sized artificial atoms/molecules/materials reveals a prediction of market value of $16.8 billion in upcoming future [18].
The nanomaterials can broadly be classified in four categories. They are (a) zero dimensional (0D), (b) one dimensional (1D), (c) two dimensional (2D) and (d) three dimensional (3D). (a) Zero dimensional nanostructures (e.g., quantum dots and nanoparticles) have all the dimensions within the nanoscale region. They are also addressed as artificial atoms as their size restriction, particularly quantum dots, can be found within a few nanometer ranges like atoms/molecules. They have grown themselves up in recent years as suitable applicant in the field of optoelectronics, biomedical, energy, textile industries, etc. (b) One dimensional nanostructure (e.g., nanowires, nanotubes, nanorods, etc.) have diameter/thickness in nanometer range, however its length to width ratio may be more than 1000 nm, i.e., several micrometers. It means that in this kind of material, one dimension of the nanostructure is not in the nanometer range. This specific class of nanomaterial has immense applications in electronics, in addition to other domains of applications like energy and environment [19]. (c) Two dimensional nano structures (e.g., nanofilms, nanosheets, nanowires, graphene, etc.) have two dimensions outside the nanometer range. It indicates that although the area (length and breadth) of these kinds of materials is more than nanometer scale, but the thickness is always within the nanoscale region. They are very useful in the applications of sensors, templates, photocatalysis, nanoreactors and nanocontainers. (d) Three dimensional nanostructures (e.g., bulk powders, nanocomposites, bundle of nanotubes/nanowires, multilayer films, nanotextured surfaces, etc.) are the nanomaterials in which, all the three dimensions of a material are not within nanoscale region. This class of materials has applications in all such fields where introduction of other dimensional nanomaterials is required in high scale, including the fields where electronics, optical, mechanical and magnetic properties are necessary.
QDs are having quite resemblance with the atomic confinements. Basically, they are the nanoparticles of bulk semiconductors and their average size range lies within 1–10 nm. The physics behind the size of a QD is the exciton Bohr radius. It states that if the size of a particle is less than twice the size of the exciton Bohr radius of a specific material, then, the particle behaves as a quantum confined matter. At this point, the particle acts as a particle within a box of quantum mechanics. Brus et al. were the first to use the term ‘Quantum Dot’ [20]. They defined these artificial atoms’ behavior as molecule like. They realized that this particular class of particle has discrete and quantized energy states, due to which their electronic properties possess resemblance with atoms/molecules. Although, nanoparticles of the semiconductor materials are found to be within the quantum confined region, it is quite obvious to achieve bigger particles during the process of synthesis within the same solution of nanoparticles, than, the Bohr exciton radius. But, people are focusing on the production of smaller size, i.e., within quantum region. The idea behind targeting quantum confinement is their dramatic change in electronic properties within the quantum dimension, which cannot be achieved beyond that size. Hence, nanoparticles of semiconductors are synthesized within that confinement precisely. One of the primary reasons behind occasional achievement of bigger particles is the aggregation of individual particles. This can be overcome by effective encapsulation with suitable capping agents during the course of various physical and chemical synthesis processes.
Semiconductors are well known class of compounds, whose properties are considered to be between metals and insulators. The fundamental expression of this idea is the band gap energy, generated due to the presence of distinct valence band, VB (HOMO) and conduction band, CB (LUMO). The overlapping of both VB and CB is very much absent in semiconductors; instead they are differing by ‘specific amount’ of energy. However, there is a provision for the electrons in the VB to jump into CB by absorbing that particular ‘specific amount’ of energy. The required threshold energy to overcome the VB-CB difference is termed as ‘Band Gap Energy’. Since the QDs are the diminutive form of the bulk semiconductors, hence they also follow the band gap theory. In QDs, the transition of electrons from the HOMO to LUMO, primarily, depends on the size of the individual particles. Smaller the size of the particle, higher energy is required for an electron to jump to conduction band and vice versa. Therefore, smaller particles show more blue shift from the bulk in both absorption and luminescence spectra than the bigger particles (Figure 1). Interestingly, in a solution, the particle size of QDs of a particular material is never homogeneous, i.e., the size of each dot cannot be exactly the same. Therefore, when absorption spectrum of QDs in a solution is recorded, due to the merging of peaks for each and every particle (responsible for individual electronic transition of individual particle), the absorption maximum is always broad, sometime edge only [21]. That is why, these QDs can cover a wide range of light spectrum to excite its electrons as per the requirement of energy. The broader excitation spectra of the QDs also help them in the illumination of multicolored QDs through the excitation of single light. The high stoke shift finds the QDs resistant toward the auto fluorescence, hence their sensitivity is enhanced drastically. These metamaterials are synthesized in laboratories according to their requirement in a specific application. A very interesting and important factor behind the utility of these nano materials is their tunability in size and shape. Different sized particles of different materials within the same application are essential for providing improved efficacy of the device, e.g., quantum dot sensitized solar cells. Researchers around the world have reported various shapes of nanoparticles, viz., spherical, cubic, hexagonal, triangular, wire, ball, necklace, etc. They deliver different properties and can be utilized for different applications.
Effect of size of QDs on electronic properties.
Among various semiconductors, the QDs of group IIB-VIA [zinc sulfide (ZnS), cadmium sulfide (CdS), zinc selenide (ZnSe), cadmium selenide (CdSe), zinc telluride (ZnTe) and cadmium telluride (CdTe)] are potential candidates in various applications, primarily in optoelectronics due to their wide and direct band gap (Table 1).
Band gap and excitonic wavelength of group IIB-VIA semiconductors revealing the capacity of accessing the visible light spectrum, thereby exhibiting their potential applications in optical and electronic devices.
Chemistry of these semiconductors suggests that the formation of variable strong bonding between these molecules is responsible for their differences in band gap and absorption maxima. The covalency of the molecules from Sulfur to Tellurium is different in these hybrid molecules, so as their electronic transition properties are varied and hence the band gap.
The effective synthesis of QDs is a challenging task. Research is warranted in the mechanism of synthesis, leading to the reproducibility of size and shape of QDs, so that the growth of QDs at the time of nucleation can be controlled effectively [22, 23, 24, 25, 26]. There are several methods of synthesis of QDs: molecular beam epitaxy (MBE), vapor phase epitaxy (VPE), metal organic chemical vapor deposition (MOCVD), radio frequency sputtering (RFS), electron beam lithography (EBL), optical ablation, Ball milling, quenching methods, reduction with microorganisms or plants [14] and chemical method [27, 28, 29, 30, 31, 32, 33, 34]. Among all, chemical method is the most widely used method for the synthesis of QDs due to its better accuracy and large scale production [35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56]. Various reducing agents such as sodium borohydride, hydrazine hydrate, etc. are used during the chemical reduction synthesis. These methods are broadly divided into non-aqueous and aqueous-mediated reactions. Non-aqueous method have received first remarkable development from Bawendi, Alivisatos and Peng [57, 58, 59, 60, 61, 62], popularly known as TOP-TOPO (trioctylphosphine for TOP and TOP oxide) or hot injection method in 1990s. Although the reaction developed by Murray et al. [57] for the synthesis of cadmium chalcogenides is probably the first ever controlled synthesis of semiconducting CdE (E = S, Se, Te) QDs. However, due to the highly toxic, pyrophoric and unstable nature of main precursor dimethyl cadmium [(CH3)2Cd] at room temperature, the method was not preferred [63, 64, 65, 66, 67]. Peng et al. [68, 69] contributed a comparatively greener method for the synthesis of CdE, as the first most efficient process of synthesizing highly fluorescent QDs with excellent morphological uniformity. The formed QDs in this high temperature method involved long chain organic solvents with high value of boiling point. Resultant QDs were found to be less defective due to effective surface passivation by TOP/TOPO. Both, the choice of ligand as well as the growth temperature, allowed the lattice morphology to be modified in a better way toward the synthesis of QDs. Hot injection method processes through two steps, i.e., rapid nucleation, while the reaction is heated up to the utmost temperature, followed by slow growth of colloidal nano crystals (CNCs) due to the addition of another precursor, with much lowered temperature. Though this method was observed to be suitable for the synthesis of the CNCs/QDs, there are some unexpected drawbacks, which lead the scientists to rethink about this particular process, before they could propose this method for the up gradation of the end products at the industrial level. The primary issues with this method are (a) use of non-ecofriendly organic solvents, (b) cannot be scaled up for mass production, which require several and repetitive reactions to achieve the desired amount of product, (c) non-biocompatibility, as water is not a suitable solvent for them to get solubilized, (d) difficult purification and extraction methods of the QDs from its mother liquor, (e) high cost of solvents as well as the process and (f) non-cooperation of green chemistry principles, which leads the whole process of synthesis into an environmentally challenging problem. Adoption of non-water soluble surface passivators (i.e., TOP/TOPO) confirms the non-biocompatibility mode for these high temperature synthesis methods; therefore the concept of biocompatible aqueous phase QDs synthesis is warranted. Aqueous route of synthesis have all the positive aspects and most importantly, they are easy to carry out and are environmentally benign. Additionally, one can use high fluorescent nature of QDs in various bio-medications due to their water solubility. One can modify the surface of the QDs as required, with the help of water soluble chiral capping molecules to make the dots size dependent chiral optical property enhancer [70, 71]. Moreover, utilization of short water soluble ligands boost the optoelectronic applications (including photodetectors, solar cells and photocatalysis) too, by reducing dielectric barrier and inter dot separation distances in a solid QD film. Hence the objective of preparation of QDs reach to another domain of methodology, i.e., water-mediated or water soluble routes of synthesis. In early 1980s, Brus [72] and Henglein [3] and their co-workers first pioneered the aqueous synthesis route. They reported the change of band gap of QDs with their size. Vossmeyer et al. presented their work on CdS QDs. They reported the variation of UV-vis absorption spectrum with the change of size of CdS QDs. However, none of them discussed the photoluminescence property. First aqueous based synthesis with fluorescence properties of QDs was introduced by Weller et al. [73]. They have reported the water based synthesis of CdTe QDs under reflux condition at 96°C for prolonged hours, to obtain photoluminescence emission. After that, several approaches have been made toward the aqueous synthesis of CdSe and CdTe QDs. Although, they have achieved a mile stone, but as the research progressed, researchers tried to find the best route of synthesis in which they were able to synthesize the same or better quality CNCs. In the way of harvesting betterment and refinement of the existing methodologies, present day world scientists are trying to reach to a mile stone, in which the QDs are prepared as multiuse molecules. Hence, the aqueous synthesis method is still under investigation and modification. Therefore warrants systematic studies under variable conditions. Presently, global scenario speaks about the understanding of the reaction mechanisms and the suitable greener conditions involved during the synthesis of better quality QDs with easy, cost effective and most importantly greener technological way. However, achievement is still under the margin.
There are four major parameters which are primarily responsible for precision of the end product during aqueous synthesis route. They are (a) the solubility product of the semiconductor compounds in water, (b) binding affinity of the capping agent molecules toward the metal atom, (c) binding affinity of water and hydroxyl atom for the metal atoms and (d) pH of the reaction medium [74, 75, 76, 77, 78, 79, 80, 81]. These enlisted thermodynamic parameters can be understood with the help of HSAB (hard and soft acids and bases) theory. HSAB states that hard-hard or soft-soft interactions are expected to have lower water solubility [82, 83]. Since chalcogenides ions (S−2, Se−2 and Te−2) are soft bases and (Cd+2 and Zn+2) are borderline soft acids, it is expected that they readily form insoluble compounds. Soft-soft interaction leading to the low solubility of these compounds is the basis of their semiconducting nature. Their covalent nature increases in comparison to the hard-hard interactions. The pH of the medium also effects the formation of the desired compounds in a dramatic way. Since we know that ─OH (hydroxyl) ion is a hard base, therefore its binding affinity toward hard metal cations is more and hence ─OH can easily form bonds with Zn+2 than Cd+2 in basic conditions, thus effecting their solubility product constant (K
The surface chemistry of the CNCs is very interesting, as well as challenging one to achieve. Due to the presence of high surface to volume ratio, the surface of the QDs generates dangling bonds of both cationic and anionic substituents. Noteworthy, the dangling bonds in a QD are generated due to the unsaturated surface level atoms of the QD, which may alter the electronic transition by introducing new electronic states. The primary strategy to satisfy these surface defects is by using more cationic precursor to satisfy the anionic part, while the stabilizing agent, has to satisfy the dangling bonds formed from the cationic part. In most of the reactions, the presence of a stabilizing agent is very necessary to overcome the instability factor in the colloidal solution. In colloidal synthesis method, it is almost mandatory to use a capping agent [2, 37, 84] as a capping agent does not allow the QDs to grow, after reaching a certain size depending upon the capacity of the agent. On the other hand, in an appropriate solvent, a stabilizing agent, not only caps the QD, but also offers stability to it to retain its size in the solution. The terminology of stabilizing agents is slightly different from surface capping agents. But efforts have been made by researchers to put both the surface modifying agents within a single umbrella by trying to use the same molecule for both the purposes. These molecules attach with the surface of the NCs by dative, covalent or ionic bond and provide them electrostatic stabilization as well as surface passivation. These agents are often called as surface ligands, due to their capacity to act as ligands in a coordination complex, which attach to the metal ion by exchanging electrons. The molecular structure of a stabilizing agent/surface capping agent is very much different in aqueous medium than non-aqueous medium. In non-aqueous solvents, these molecules are normally water insoluble long chain hydrocarbons, whereas in aqueous media the capping agents have short hydrocarbon chain and a polar group at one end. The polar group can provide stabilization to the QD as well as passivation to the surface. But, importantly the ratio of capping agent with the precursor also plays an important role in the nature of the solubility and formation of the QDs. It is because, higher concentration of these molecules may not allow the metal atom to form the semiconducting NCs and lower concentration may lead to the instability of the QD in the medium due to weak interaction between the capping molecule and the metal ion. In this context, till date thiol or carboxyl or phosphate group holding polymers and macromolecules have been tried to achieve better surface stability. However, at the same time, ligands capable of binding with more than one binding site are also drawing tremendous attention of the researchers due to the probability of fetching aspired product. Selecting effective surface modifying agents and optimization of the added amount of them are at utmost importance to develop better synthesis route to achieve desired QDs. Another aspect of choosing an effective surface capping agent is the biocompatibility and thus, their application in biomedical sectors [85, 86, 87]. The advantageous positions of these inorganic artificial atoms as fluorophores over organic dyes is due to their bright (10–20 times more than organic dyes) and narrow fluorescent and less photo bleaching (up to 30–40 ns) nature than the traditional dyes. The primary issues regarding the use of these QDs in biological application are non-biocompatibility, ineffective coating and the use of hazardous capping agent. It is well understood that although the synthesis of QDs are performed in water medium, it may not offer the biocompatible nature to the dots and hence they can undergo oxidative degradation inside the cell and harm the same. Moreover, non-functionalization may lead to unspecified exit route of these drugs from the treated organism, hence the treated organism may become intoxicated. Therefore, surface functionalization of these dots is the most important part if we want to cast them inside the body of an organism. Secondly, capping agent has to be a perfect surface passivator, which will act as inhibitor to the surface trap states in the QDs. Thirdly, it is also observed that many a times the capping agent/stabilizer/surface passivating agent itself act as a harmful material toward to treated organism. Hence, selection has to be made on this scenario too. Overall, the research of biologically active and applicative QDs demands the production of such engineered QDs, which can answer all the three major problems. At the same time, the role of capping agent/stabilizer/surface passivator has to be restricted to only one molecule, which can act as capping agent, stabilizer and surface passivator in parallel. Therefore, the quest of potential multiuse QDs with multiuse surface modifying agents is still going on around the globe and warrants a thorough investigation.
The process of synthesizing all the QDs of the mentioned semiconductors in aqueous media is a challenging task. Literature [88, 89] to some extent reveals that the anionic/chalcogenide portion of the semiconductors plays the key role in the synthesis. It is because the reduction of sulfur (S), selenium (Se) and tellurium (Te) is very much different from each other due to the difference in their reduction potential, i.e., −0.467, −0.924 and − 1.143 respectively. Reduction of S is relatively easier in comparison to Se and Te in water, because it easily dissociates into S−2 from its available metallic salt. But strong reducing reagents are required to reduce Se and Te in room temperature. Moreover, they are not stable in the solution and can readily form Se0 and Te0 once the effect of reducing agent is finished. Proper precaution has to be taken. In case of Te, reduction has to be carried out under inert atmosphere (nitrogen/argon atmosphere) as it readily converts to Te0 in non-inert condition [90]. During the addition to the metal precursor, one has to be delicate and calculated enough, or else, Te−2 will be readily converted to Te0. Hence, performing the synthesis in the aqueous medium at room temperature is a challenging task; however, the successful completion of this challenge may lead the world into different class of environmentally benign, easy and cost effective synthesis route for QDs.
Most essential part of these QDs is their application in optoelectronics such as light emitting diodes [91, 92, 93, 94, 95, 96, 97, 98, 99], photodetectors [100] and photovoltaic solar cells or quantum dot sensitized solar cells (QDSSC) [101, 102, 103, 104, 105]. Colvin and his associates had first designed QD-LED (1994) [91] and this invention was a milestone in optoelectronics. The quantum efficiency of first CdSe QDs was 0.01%, which was a better result in that time, although much lesser than today’s QD-LEDs. The reason behind fast development of efficiency of the QDs in LEDs is the report of newer developments in synthesis methodologies and their quality along with that. Recently, impressive development has been made by Samsung electronics in the form of quantum dot televisions. The manufacturing authority claims that the color intensity is much more intense than an ordinary TV and it happens due to the incorporation of QDs. The greatest potential of colloidal QDs in optoelectronics lies in their humongous flexibility of semiconducting and optical nature over wide range of light spectrum, which allows the tailoring of QDs according to their desired applications. In addition to that, the low cost production and effective charge transfer capability also offers these dots the suitability in optoelectronic appliances. The utility of the QDs in LEDs or QDSSCs can be consolidated by fabricating the thin films of them. Thin films are the easiest but effective support as well as cost effective solution to incorporate the highly luminescent QDs in a device. In thin film science, a thickness range of nanometers to a few micrometers of the synthesized QDs is spread over suitable templates (commonly used glass, ITO, FTO, mica, etc.) by various methods (e.g., chemical vapor deposition, electron beam deposition, spin coating, dipping, etc.). First generation silicon solar cells were the first thin film solar cells, however, slowly 3rd generation thin film solar cell has been replacing them. In the preparation of a thin film, the suitable roughness according to their thickness has to be maintained to receive desired optical luminescence. In the fabrication of thin films, the methodology to prepare them is very important. It is because during the process of fabrication, the characteristics of the synthesized QDs must not change, as making of thin films may undergo different rigorous treatment including heating too. Therefore, to find a valid and effective method of thin film fabrication is very important. Simultaneously, the cost of production of the thin films also has to be minimal so that the product will be a cheaper one. Hence, research is undergoing intense investigation to find a low cost and effective way of production of QD thin films, which can necessarily, fulfill the demand of industry as well as global market. Although having tremendous potential utility of these QDs in various application fields of science and technology, their high production cost (~$10,000 per gram of QDs) makes it difficult to raise them as a part of our day to day life [106, 107]. Unless scientists develop some sort of easier and cost effective way to produce and fabricate specific shape and sized QDs in mass scale, we cannot understand their broad application [108]. Therefore, chemical engineering of QDs has begun to solve these two major following issues: (a) use of eco-friendly inexpensive starting material for synthesis of QDs and (b) development of green synthesis routes with the optimization of all the reaction parameters [62]. Therefore, it is become mandatory for the research community to design newer and greener optimized synthesis processes, so that in near future these QDs can become leader in every aspects of mankind.
Semiconductor QDs are advanced materials for various applications which have been discussed elaborately. Their unique physico-chemical properties make them suitable for applications in energy conservation, imaging devices, non-linear optics, nano electronics, nano photonics, solar cells, miniaturized sensors, photography and bio-medical domains. Material preparation and physico-chemical characterization of group IIB-VIA QDs should be further modified in order to fabricate smart devices. The future work toward the greener synthesis of binary and multicomponent nanocomposites is warranted as doping with suitable metal and metal alloys enhances the optoelectronic and optoelectrical properties of these QDs.
The authors declare that there is no conflict of interest.
Leptospirosis is a worldwide bacterial zoonosis showing greater occurrence in tropical and subtropical countries. It is transmitted mainly through direct contact with animals or urine but can also be acquired indirectly by ingesting contaminated water or food. The disease is typically occupational affecting particularly farmers, slaughterhouse workers, veterinarians and their co-workers [1].
Leptospirosis brings economic loss to cattle raisers as it causes reproductive disturbances like abortion or infertility. It is considered a reproductive system disease [2]. Clinical signs can be chronic such as abortion, mainly at the pregnancy’s middle third, around the fifth month, estrus repetition and stillbirths as well as placental retention not always occuring. It can cause agalactia or decrease in milk production as well as infection of young calves [3].
Cattle are the main reservoirs of serovars Hardjo [4], and others such as Pomona and Grippotyphosa [5]. They are the preferential hosts of serovar Hardjo. Serovar Hardjoprajitino is responsible for decreases in cattle milk production and conception rates [6], and serovar Hardjobovis is associated with reproductive failures [2, 3, 4, 5, 6, 7].
The main serovars found in Brazil are Hardjo, Wolffi, Pomona, Grippotyphosa, Icterohaemorrhagiae [3]. There is a prevalence of serovar Hardjoprajitino, also present in commercial vaccines. However, as with other domestic mammals, cattle can be infected by any pathogenic serovar [8]. Despite some degree of agent species selectivity, the disease is not serovar-specific.
Considering the impact of leptospirosis on cattle breeding as well as its effects on human and animal health, the present study was proposed with the goal of evaluating the consequences of leptospiral infection on the pregnancy and milk production rates of a confined dairy cattle herd with respect to the serological response to 16 serovars of Leptospira spp., of importance for herbivores, during 9 months, having it associated with productive, referring to milk production, and reproductive, referring to pregnancy rate, indexes as well as monitoring leptospiral infection evolution in two groups set up and kept under similar conditions, one with animals serologically positive for at least one of the evaluated serovars and another, the control group, with animals serologically negative at study onset, the results thereof compared vis-à-vis the studied variables.
With owner’s consent secured, the study took place in a dairy property the authors were familiar with. These premises were selected due to the permanent availability of veterinary assistance and the authors’ good understanding of its zoosanitary practices. The dairy is a fenced property capable of animal self-replacement, located in the central region of the State of São Paulo, Brazil. Its stock counts 750 animals of which about 400 are of high genetic lineage, pure origin Black and White Dutch lactating cows kept in a semi-confinement system and milked three times a day. The production system is completely computerized, allowing data to be obtained on a monthly basis to evaluate the individual and herd productive and reproductive indexes. Milking is carried out with the help of a carousel-type parlor.
Animals are vaccinated against IBR, BVD, brucellosis and leptospirosis one week before dry-off, approximately 60 days before parturition, and receive a second shot 30 days later. Lactating cows are vaccinated between 120 to 128, 270 to 278 and 420 to 428 days of the lactation cycle.
The experimental groups were formed spliting 202 lactating animals in two groups. One group had 50 animals with non-reactive results to anti-leptospiral antibodies (G-1) while the other has 50 sera reactive animals with a microscopic agglutination test (MAT) titer ≥100 IU for at least one Leptospira serovar (G-2). G-2 was reduced to 39 animals by the end of the study as 11 were discarded by the owner during the experimental period. Both groups were set up with animals picked at the beginning of their lactation cycles affording longer monitoring times within their milk production periods.
G-1 and G-2 Blood samples were collected monthly for 9 months by mammary vein puncture to assess herd infection dynamics. In order to diagnose infection, MAT were performed employing live antigens from 16 serovars belonging to 10 serogroups: serovar Bratislava (serogroup Australis); Castellonis (Ballum); Canicola (Canicola); Djasiman (Djasiman); Grippotyphosa (Grippotyphosa); Copenhageni, Icterohaemorrhagiae (Icterohaemorrhagiae); Pomona (Pomona); Pyrogenes (Pyrogenes); Tarassovi (Shermani); Guaricura, Hardjobovis, Hardjo CTG, Hardjoprajitono, Mini, Wolffi (Sejroe). The titer cut-off point was 100 IU.
Production indexes, such as the monthly average of milk production in liters, as well as reproductive factors such as interval between birth and conception, conception rate at the first service, conception rate in all services, services per conception, age at first delivery and number of lactations were evaluated from each animal’s history obtained from the dairy’s database.
The results of this longitudinal observational study were analyzed by evaluating the relationship between infection by
MAT serovar positivity at the diverse moments was established by means of descriptive statistics where positivity percentages represented the frequency distribution of occurrences. Association of pregnancy to reactive serovar for the two groups in the different moments was carried out with the Goodman association test for contrast between and within multinominial populations [8, 9], whose significance was designated with the help of lowercase and uppercase Latin letters. With significance indicated by lowercase and uppercase Latin letters. Milk production comparison for reacting serovar for each moment was done by independent samples Student’s t-test [10]. Statistical results were discussed at the 5% significance level.
In 238 group independent blood samples (67.42%) responded to only one serovar with Hardjoprajitino prevalence. In 29 samples (8.51%) Pomona, in 41 (11.6%) Pyrogenes and Wolffi in 18 (5.09%). When two serovars were found, there was again a predominance of the Harjoprajitino serovar in 96 samples (41.9%), Pyrogenes in 53 (23.1%), Pomona in 20 (8.73%), Wolffi in 16 (6.98%), Hardjobovis in 18 (7.8%) and Guaricura in 13 (5.67%). For three serovars, Hardjoprajitino predominated in 25 samples (25.7%), Pyrogenes in 21 (21.6%), Wolffi in 15 (15.40%), Pomona in 12 (12.37%), Copenhageni in 9 (9.27%), Guaricura in 6 (6.18%) and Hardjobovis in 5 (5.15%). For four serovars, Hardjoprajitino was again prevalent in 18 (22.7%) of the samples, Pyrogenes in 15 (18.9%), Pomona and Wolffi in 9 each (11.3%), Copenhageni in 11 (13.9%), Hardjobovis in 7 (8.86%), Guaricura in 5 (6.32%) and CTG in 3 with (3.79%). For five serovars, Hardjoprajitino predominated in 3 samples (25%), each of Pyrogenes, Copenhageni and Pomona in 2 (16.6%), each of Wolffi, Hardjobovis and Guaricura in 1 sample (8.3%). The most frequent serovars were Hardjoprajitino, Pyrogenes, Pomona and Wolffi. These were also prevalent as co-agglutinants for serovars Copenhageni, Guaricura and Hadjobovis with respect to the same serogroup. The large number of serovars with cross-reactions or co-agglutination is noteworthy.
Figure 1 refers to the 39 animals seroreactive at the first collection (G-2) which remained in the study and shared the same environment with those in G-1.
Distribution of results at the beginning of the study (moments 1, 2 and 3) for the G-2 group, according to milk production and pregnancy. Praj = Hardjoprajitino, Po = Pomona, wo = Wolffi, Pyr = Pyrogenes, H=Hardjo, Co = Copenhageni, Ict =
Figure 2 summarizes the pregnancy results and the positive percentage of serovars at each moment, also in G-2. Pregnancy rates decreases can be observed at moment 3 with 76.9%, moment 4 with 74.3%, moment 5 with 76.9% and moment 8 with 79.4% of pregnancy.
Dynamics of the result of pregnancy rates in the G-2 group, at times (Mo 1) to (Mo 9). G-2 milk production in liters of milk can be seen for different moments in
Dynamics of milk production in liters, in the group of seroreagent animals (G-2), from Mo 1 to Mo 9.
Table 1 summarizes the results respective of the number of animals, pregnancy in percentage and production in liters of milk at time 2 in G-2.
Seroreagents | Animals | (Mo 2) |
---|---|---|
Serovars | N° | % |
Hardjoprajitino | 24 | 61,5 |
Pyrogenes | 7 | 17,9 |
Wollfi | 2 | 5,1 |
Pomona | 2 | 5,1 |
Icterohamorrhagiae | 1 | 2,5 |
Hardjo | 1 | 2,5 |
Guaricura | 3 | 7,6 |
Prenhez em % | 32 | 82 |
Production in liters of milk | 39 | 1.508,3 |
Productivity of seroreagent animals (G-2), pregnancy and production in liters of milk, at time 2. Results expressed as a percentage.
Serovar Hardjoprajitino was detected at the moment 6 in 18 animals (46.1%), Pyrogenes in 13 (33.3%), Pomona in 9 animals (23%) and Hardjo in 6 animals (15.3%), when decreases in milk production and fertility were observed for infection by the Hardjo serovar, G-2.
Figure 4 shows a serovar Hardjoprajitino participation of 69.2% in moment 8, 64.1% in moment 9 and 41% in moment 7, all in G-2. Variation among seroprevalence percentages at those moments can be seen for the various serovars.
Kinetics (dynamics) of G-2 antibody titers expression, compared to moments 7, 8 and 9 of observation. Praj = Hardjoprajitino, Po = Pomona, wo = Wolffi, Pyr = Pyrogenes, H = Hardjo, Co = Copenhageni, Ict = Icterohaemorrhagiae, Ctg = Ctg, Gua = Guaricura, min = mini.
Moment 9 (Figure 4) had a higher seroprevalence of serovars Hardjoprajitino in 25 animals (64.1%), Pyrogenes in 17 (43.5%), Guaricura in 7 (17.9%), Wolffi in 4 (10.2%), Copenhageni in 3 (7.6%), Pomona in 2 (5.1%), Hardjo in 1 (2.5%) in G-2.
Figure 5 shows a decrease of pregnancy rates in G-1 at moment 5 which may be related to positivity for serovar Hardjoprajitino. On the other hand, Figure 6 illustrates G-1 milk production at different times, showing a decrease in milk production at moments 5, 7, 8 and 9 which may be related to calving times. As a matter of fact, despite attempts to start the experiment with groups as homogeneous as possible, delivery times varied and some animals possibly found themselves in more advanced lactation stages of lactation thus interfering with the group’s overall production.
Dynamics of the pregnancy rate in the G-1 group, from the initial moment Mo 1 to Mo 9.
Dynamics of milk production in liters in the G-1 group, from the initial Mo to Mo 9.
Table 2 shows all the serovars as percentages, at moment 2 for G-1. The pregnancy rate was 87.7% and the milk production 1,963.8 liters. Comparing these pregnancy rates and milk production with those for G-2, both pregnancy rate and milk production is higher for G-1 at the study onset probably due to lower infection rates of serovars such as Hardjoprajitino in G-1.
Sororeagents | Animals | (Mo 2) |
---|---|---|
Serovars | N° | % |
Hardjoprajitino | 18 | 36,7 |
Pyrogenes | 4 | 8,16 |
Hardjo | 1 | 2,04 |
Wolffi | 1 | 2,04 |
Ctg | 1 | 2,04 |
Icterohaemorrhagiae | 1 | 2,04 |
Prenhez em % | 43 | 87,7 |
Produção em litros de leite | 49 | 1.963,8 |
Productivity of seroreagent animals (G-1), pregnancy and production in liters of milk, at time 2. Results expressed as a percentage.
At moment 3, G-1, serovar Hardjoprajitino was found in 21 animals (42.8%), Pyrogenes in 12 (24.4%), Pomona in 9 (18.3%), Wolffi in 7 (14.2%), Copenhageni in 5 (10.2%) and Icterohaemorrhagiae in 2 (4.08%) with a pregnancy rate of 89.7% and milk production of 1,906.8 liters. Hardjoprajitino remained the most frequent serovar with a slight increase when compared to Mo 2. As mentioned for Mo 2, pregnancy rates and milk production were also higher when compared to the earlier moments, for G-2, where serological response with variable antibody titers for one or more leptospiral serovars were present at study onset. Such observation reinforces the importance especially of the serovar Hardjoprajitino to the productive and reproductive aspects of dairy cattle, the focus of the present study.
Figure 7 illustrates the dynamics of antibodies titres regarding the Hardjoprajitino serovar with 59.1%, 55.1% and 46.9% positivity thus confirming the relevance of this serovar for cattle. The participation of serovar Pyrogenes among the serovars that stand out at different times is noteworthy.
Kinetics (dynamics) of G-1 antibody titer expression at moments 4, 5 and 6 of observation. Praj = Hardjoprajitino, Po = Pomona, wo = Wolffi, Pyr = Pyrogenes, H = Hardjo, Co = Copenhageni, Ict = Icterohaemorrhagiae, Ctg = Ctg, Gua = Guaricura, min = mini, Ca = Castellonis.
At moment 4 for G-1, serovar Hardjoprajitino was obtained in 29 animals (59.1%), Pyrogenes in 5 (10.2%), Pomona in 4 (8.16%), Hardjo in 4 (8.16%), Wolffi in 3 (6.12%), Guaricura in 2 (4.08%), Copenhageni in 2 (4.08%), Castellonis in 1 (2.04%). The pregnancy rate was 89.7%, and milk production 1,872 liters of milk. There was a slight decrease in milk production but the pregnancy rate was the same as for the previous month (Mo 3).
Table 3 summarizes the G-1 results for moment 5. The pregnancy rate was 75.5%, and milk production volume 1,738 liters. There was a decrease in productive and reproductive indexes with a decrease in pregnancy rate and milk production when compared to previous moments.
Sororeagents | Animals | (Mo 5) |
---|---|---|
Serovars | N° | % |
Hardjoprajitino | 27 | 55,1 |
Pomona | 7 | 14,2 |
Mini | 5 | 10,2 |
Pyrogenes | 3 | 6,12 |
Guaricura | 1 | 2,04 |
Wolffi | 1 | 2,04 |
Copenhageni | 1 | 2,04 |
Prenhez em % | 37 | 75,5 |
Produção em litros de leite | 49 | 1.737,8 |
Productivity of seroreagent animals (G-1), pregnancy and production in liters of milk, at time 5. Results expressed as a percentage.
Reagent serovars in G-1, moment 6, were Hardjoprajitino in 23 animals (46.9%), Pyrogenes in 8 (16.3%), Pomona in 8 (16.3%), Wolffi in 6 (12.24%), Hardjo in 3 (6.12%), and Copenhageni in 1 (2.04%), with a pregnancy rate of 83.6% and a milk productionn volume of 1,840 liters of milk. There was a decrease in the seroprevalence of Hardjoprajitino from 55.1% to 46.9% and consequently increases in pregnancy rate from 75.5% to 83.6% and in milk production from 1,737.8 to 1,840 liters of milk.
Figure 8 illustrates the dynamics of the response to serovars, in Mo 7, 8 and 9. There are differences among the various moments, seroprevalence oscillating, which is possible since the animals shared the same environment exposing themselves to animal-maintained and environment serovars.
Kinetics (dynamics) of G-1 antibody titer expression at moments 7, 8 and 9 of observation. Praj = Hardjoprajitino, Po = Pomona, wo = Wolffi, Pyr = Pyrogenes, H = Hardjo, Co = Copenhageni, Ict = Icterohaemorrhagiae, Ctg = Ctg, Gua = Guaricura, min = mini, Ca = Castellonis.
At moment 7 in G-1, serovar Hardjoprajitino can be observed in 7 animals (14.2%), Pyrogenes in 8 (16.3%), Wolffi in 6 (12.2%), Copenhageni in 3 (6.12%), Pomona in 1 (2.04%), with a pregnancy rate of 87.7%, and milk production of 1,738 liters of milk. Despite the lower response to serovar Hardjoprajitino, there was an increase in the pregnancy rate but a decrease in milk production in comparison to moment 6. At this moment there was no response to serovar Hadjobovis. For this same group, in moment 8, serovar Hardjoprajitino was detected in 22 (44.8%), Pyrogenes in 9 (18.3%), both Guaricura and Hardjo in 6 (12.24%), Ctg in 5 (10.2%), Wolffi, Pomona and Icterohaemorrhagiae in 1 (2.04%) each. The pregnancy rate was 89.7% and milk production volume 1,620 liters of milk. There was an increase in the response to serovar Hardjoprajitino, from 16.3% to 44.8% and the serovar Hardjobovis, not found at moment 7, appears in 12.24% which must have influenced the decrease in milk production from 1,738 to 1,620 liters, despite pregnancy rate showing a slight increase from 87.79% to 89.7%.
Table 4 summarizes the most frequent serovars for moment 9, with a pregnancy rate of 81.6% and a milk production volume of 1,519 liters. A decrease in the response to serovar Hardjoprajitino as well as a lack of response to serovar Hardjobovis were observed. There was also a decrease in pregnancy rate and milk production despite the lower response to the serovar Hadjoprajitino, a reduction from 44.8% to 24.4% at moments 8 and 9, and the non-response to serovar Hadjobovis at that moment. Regarding the decrease in milk production also seen in G-1, it should be noted that many animals might have been in an advanced stage, near the end of lactation with a consequential decrease in milk production, which was also observed in G-2.
Seroreagents | Animals | (Mo 9) |
---|---|---|
Serovars | N° | % |
Hardjoprajitino | 12 | 24,4 |
Pyrogenes | 17 | 34,6 |
Guaricura | 4 | 8,16 |
Pomona | 5 | 10,2 |
Copenhageni | 2 | 4,08 |
Prenhez em % | 40 | 81,6 |
Produção em litros de leite | 12 | 1.519 |
Productivity of seroreagent animals (G-1), pregnancy and production in liters of milk, at the moment 9. Results expressed as a percentage.
Figure 9 shows the percentage of response to serovars from Mo 1 to Mo 9 with greater prevalence of serovars Hardjoprajitino, Pyrogenes and Pomona. Regarding the 49 animals in group G-1, Figure 10 shows the average prevalence of serovars, the decrease in productivity in G-2 at moments 4, 5, 6, 7 and 9 and in G-1 at moments 5 and 9. There was a decrease in the pregnancy rate at moments 3, 4, 5, 6, 8 in group G-2 and at moments 5 and 9 in group G-1.
Average percentage of animals in the G-1, at moments 1 to 9 of observation. Praj = Hardjoprajitino, Pyr = Pyrogenes, Po = Pomona, wo = Wolffi, H = Hardjo, Co = Copenhageni, Ict = Icterohaemorrhagiae, Ctg = Ctg.
Average percentage of animals in the G-2, at moments 1 to 9 of observation. Praj = Hardjoprajitino, Pyr = Pyrogenes, Po = Pomona, wo = Wolffi, H = Hardjo, Co = Copenhageni, Ict = Icterohaemorrhagiae, Ctg = Ctg.
Where of response to a single serovar, which occurred in 238 samples, serovar Hardjoprajitino was obtained in 67.4%. Pyrogenes in 41 (11.6%), Pomona in 29 (8.51%) and Wolffi in 18 (5.09%). Hardjo is the serovar most commonly found in cattle, the species considered its primary maintenance host [3]. Serologically identical but genetically distinct types of serovars Hardjo exist:
Results show that the serovars are practically the same, seroprevalence varying in both groups with G-2 displaying the greatest differences for most serovars. This shows the importance of environmental contamination and indirect transmission, mainly by water and food. According to Lenharo et al. [13], this serovar is commonly found in wild mammals and these can act as sources of soil contamination and animal infection.
Serovars Bratislava, Djasiman, Hebdomadis, Icterohaemorrhagiae, Pomona and Tarassovi are considered incidental in cattle and indirect transmission is associated with contact with an environment contaminated by leptospires mainly from wild species or other domestic species [8]. On the other hand, serovars Pomona, Grippotyphosa and Icterohaemorrhagiae are frequently identified in incidental infections in cattle and their transmission related to pigs, rodents and wild animals [4, 14]. Bovines can host incidental serovars for an uncertain period [15].
Serovar Hardjoprajitino is responsible for decreases in cattle milk production and conception rates. Also commonly found in pigs, Wolffi is antigenically similar to Hardjo and cause of reproductive disorders and abortions in wild animals and therefore a source of environmental contamination. Serovar Pyrogenes is frequently found in
Serovars Hardjobovis and Hardjoprajitino are adapted to cattle and cause the reproductive and the sudden milk production decrease syndromes. The first is related to serovar Hardjobovis and is characterized by miscarriage, stillbirths, infertility and weak calves. The latter is due to serovar Hardjoprajitino, characterized by udder flaccidity and a sudden decrease in milk production lasting from 2 to 10 days with changes in its consistency and colostrum [17].
Where response was observed for two serovars, the predominance of Hardjoprajitino serovars in 96 of the samples (41.9%), Pyrogenes 53 samples (23.1%), Pomona 20 samples (8.73%), Hardjobovis 18 samples (7.8%), Wolffi 16 samples (6.78%) and Guaricura in 13 samples (5.67%) was noted. The serological response can be influenced by the cross-detection between serovars of the same serogroup. Serovars Pomona, Grippotyphosa and Icterohaemorrhagiae are frequently identified in incidental infections in cattle and their transmission is related to pigs, rodents and wild animals [4, 14].
Predominance of Hardjoprajitino serovars with 25 samples (25.7%), Pyrogenes 21 (21.6%), Pomona 12 (12.37%), Wolffi 15 (15.4%), Copenhageni 9 (9.27%), Guaricura 6 (6.18%) and Hardjobovis 5 (5.15%) samples was noted. Cattle is considered maintenance host for serovars Hardjoprajitno and Hardjobovis which are transmitted by urine associated with reproductive failures [2, 7]. Cross-reactions occur between different serogroups, mainly in the acute phase of the disease [17, 18]. The serovar Icterohaemorrhagiae found in the present study falls within the One Health concept mainly due to the presence of rodents [19]. On the other hand, participation of serovar Pyrogenes among the serovars that stand out at different times is highlighted in G-1 for moments 4, 5 and 6. According to Lenharo et al. [20] this serovar is commonly found in wild mammals, which can contaminate the soil and can infect animals.
Pregnancy decreased at moments 3, 4, 5, 6 and 8 in G-2 and at moments 5 and 9 in group G-1. In a study with 25 dairy herds, totaling 500 cows, 32% of the herds were positive for the
Seroprevalence, milk production and pregnancy rate are influenced by environmental contamination from animal urine, particularly regarding serovar Hardjo. This serovar decreases fertility, while Hardjoprajitino is related to milk production, which is in line with the reduction in liters of milk at moment 6 [16]. Increased rainfall contributes to the spread of the agent in both groups. This is a relevant aspect to be considered in zoo-sanitary management in relation to bovine leptospirosis since the environment has an important role in the chain of transmission of the disease [13]. The triad is thus complete: animal, infectious agent and environment plus human involvement which characterizes the idea of One Health since the disease is common to humans and animals.
With regard to the animals in G-2 and the production of liters of milk, there is a decrease at moment 6, in February, moment 7 in March and moment 9 in May. The lower milk production in these months may be related to the greater environmental contamination by lepspiras and therefore a reduction in output, possibly influenced by serovar Hardjoprajitino.
Pregnancy rates at Mo 5 were 75.5% in G-1 and 76.9% in G-2. Although figures were close, G-2 saw a slight increase. Milk production decreased in both groups. Preganancy rates and milk production are probably related to infection by serovar Hardjoprajitino. Rainfall increased significantly in October, November, December, January and February possibly favoring cross-contamination between the two groups.
The dog is the natural host of serovar Canicola and the brown rat (
Hardjoprajitino is the serovar prevalent in cattle and responsible for decreased milk production and pregnancy rates, a fact observed in the present study. Pomona and Wolffi are adapted to swine and bovine species but Wolffi is frequently found in pigs and can also cause abortion in the final third of gestation, birth of weak fetuses and decreased conception rates [19].
Serovars Hardjoprajitino and Hardjo are the ones most frequently found in cattle and may cause productive and reproductive disorders [17]. Pomona is most commonly found in swine, which is adapted, however, it can infect cattle. Pomona is most commonly found in swine, to which it is adapted, it may infect cattle. Serovar Pyrogenes is found in the
In order to investigate the effects of rainfall on leptospira infection in cattle, 582 animals were selected and samples from 362 of these collected in the rainy season and from 220 in the dry season. In the rainy season, seropositivity to MAT was 43.6% (158/362) and in the dry season 31.8% (70/220). The Sejroe serogroup predominated (54.8%; n = 125/228), the Javanica serogroup (16.2%; n = 37/228), Icterohaemorrhagiae (7.5%; n = 17/228) and Tarassovi (7.0%; n = 16/228). Seropositivity for incidental serogroups was more frequent in the rainy season (50.0%) than in the dry season (34.3%; p ≤ 0.0001) [23], reinforcing the environmental aspects of leptospirosis maintenance in cattle herds.
Reproductive failures such as early embryonic loss and consequent estrus repetition are increasingly associated with leptospiral infection. Although these failures are frequently associated with several factors, two studies with cattle revealed a strong association of estrus repetition with seroreactivity for the serogroup
In the present study a greater participation of the serovar Hardjoprajitino, serogroup Sejroe, was also observed however the correlation between milk production and pregnancy rates in both G-1 and G-2 had no statistical significance with p > 0.05. A limiting aspect is the impossibility of comparing the results of both the dynamics of antibodies and those of milk production and pregnancy rate, as in the present study, since no similar research with two groups of animals living under the same environmental and management conditions on the same property can be found in the literature.
Although in the present study there was no statistical association (p > 0.05) between milk production and seropositivity in both groups, except for the months of May and August, which may be associated with a drop in temperature, when results were analyzed for each groups separately, G-1 showed a decrease in pregnancy rate at moments 5, 6, 7, 8 and 9 and in milk production at moments 5, 6, 7, 8 and 9, related to January (Mo 5) 161.6 mm (Ciagro – Centro Integrado de Informações Agrometeorológicas) and February (Mo 6) 363.3 mm rainfall. Those were months of high rainfall favoring environmental contamination. In G-2 the pregnancy rate decreased at moments 2, 3, 4, 5, 6, 7 and 8, October (Mo 2) 234.4 mm, November (Mo 3) 135.2 mm, December (Mo 4) 137.8 mm, January (Mo 5) 161.6 mm and February (Mo 6) 363.3 mm, all months with high rainfall. Productivity decreased at moments 4, 5, 6, 7 and 9.
There was no statistical association between pregnancy rate and seropositivity, p > 0.05 in either group. There was also no statistical association (p > 0.05) between milk production and positivity in either group except in May and August, when there was a decrease in milk production which may be related to food management, temperature drop and health of the mammary gland as a result of probable cases of mastitis. The property carrying out somatic cell counting (SCC) of milk samples from the expansion tank but not from individual animals was a limiting factor.
According to Ellis [4], bovine leptospirosis is most often caused by strains adapted from the serogroup Sejroe. bovine leptospirosis is most often caused by strains adapted from serogroup
Seropositivity for leptospira and clinical cases of leptospirosis are often associated with environmental risk factors, such as rain and floods [26]. For the
Research on leptospiral DNA in the vaginal secretion of apparently asymptomatic cows reinforces the belief that in addition to environmental contamination infection can occur from female to male through vaginal discharges and secretions during natural mating [27]. This can hamper control programs by maintaining infection and disease endemic in the property.
For the Copenhageni, Pomona, Wolffi and Prajitino serovars, frequency of positive titers greater than 800 IU was significant, with p < 0.05, in the comparison of positive reagent greater than negative reagent. Cattle infected with adapted strains, including those related to cases of agent isolation [28] the property, often have low antibody titers [10].
Although leptospires can be detected in the urine of cattle infected with adapted strains [10], leptospiruria is intermittent and not very intense [4, 29]. Serovars Pomona, Grippotyphosa and Icterohaemorrhagiae are frequently identified in incidental infections in cattle and their transmission is related to pigs, rodents and wild animals [4, 14].
Infection transmission by incidental serovars is more dependent on the presence of other host species and environmental factors. A high percentage of isolation of the serovar Hardjo from the genital tract of cows is emphasized, suggesting tropism for that region [16]. Also, according to Ellis [4], as previously mentioned, the genotypes of Hardjo serovars are adapted to cattle and associated with the chronic reproductive form of leptospirosis.
The farm where the present study was developed carries out vaccination against leptospirosis every four months and elevated titers such as 800 IU, 1600 IU and 3200 IU were found. In vaccinated cattle, post-vaccination IgM and IgG titers are low (between 100 and 400) and transient between four to six months after vaccination [3]. This fact reinforces the possibility of the higher titers having been produced in response to infection.
With regard to milk production and pregnancy rates, Ellis [16] demonstrated relationship with serovar Hardjoprajiino, a result also found in the present study which corroborates the findings of reductions in milk production and pregnancy rates at the moments when Hardjoprajiino was the most detected serovar. Comparative discussion regarding data from the literature in similar studies is hindered due to the scarcity of research on infection dynamics with different groups of animals. The present study showed that the several serovars are maintained in the two groups of animals (G-1) and (G-2), that seroprevalence is also variable, and that some serovars show greater importance in these groups. It can also be observed that milk production and pregnancy rates decreased at those moments when the frequency of a given serovar, like Hardjobovis, increased.
The serovars were practically the same, seroprevalence varying among the animals of the two groups, most of them showing greater variations in G-2, indicating possible environmental contamination and indirect transmission especially through water and food.
Seroprevalence, milk production and pregnancy rates were influenced by the contamination of animals in the environment as well as by the increase in rainfall levels and the possibility of leptospires in the urine of infected animals, considering the two groups G-1 and G-2, and the serovar Hardjoprajitino was the most prevalent, 36% in G-1 and 59.5% in G-2, showing a relationship between positivity and decreases in milk production.
The Coordination for the Improvement of Higher Education Personnel - CAPES for the financial assistance, Fazenda São Jorge, São Pedro, SP, for their consent and assistance and the team of the Laboratory of the Diagnostic Service of Zoonoses of the School of Veterinary Medicine and Animal Science – FMVZ, São Paulo State University – UNESP, especially the veterinarians from the zoonoses residency program.
This study was approved by the Animal Use Ethics Committee (CEUA) of FMVZ-UNESP/Botucatu, SP, process nr. 0154/2019, September 11, 2019.
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Fungal infectious illness prevalence and prognosis are determined by the exposure between fungi and host, host immunological state, fungal virulence, and early and accurate diagnosis and treatment. \r\nPatients with both congenital and acquired immunodeficiency are more likely to be infected with opportunistic mycosis. Fungal infectious disease outbreaks are common during the post- disaster rebuilding era, which is characterised by high population density, migration, and poor health and medical conditions.\r\nSystemic or local fungal infection is mainly associated with the fungi directly inhaled or inoculated in the environment during the disaster. The most common fungal infection pathways are human to human (anthropophilic), animal to human (zoophilic), and environment to human (soilophile). Diseases are common as a result of widespread exposure to pathogenic fungus dispersed into the environment. \r\nFungi that are both common and emerging are intertwined. In Southeast Asia, for example, Talaromyces marneffei is an important pathogenic thermally dimorphic fungus that causes systemic mycosis. Widespread fungal infections with complicated and variable clinical manifestations, such as Candida auris infection resistant to several antifungal medicines, Covid-19 associated with Trichoderma, and terbinafine resistant dermatophytosis in India, are among the most serious disorders. \r\nInappropriate local or systemic use of glucocorticoids, as well as their immunosuppressive effects, may lead to changes in fungal infection spectrum and clinical characteristics. Hematogenous candidiasis is a worrisome issue that affects people all over the world, particularly ICU patients. CARD9 deficiency and fungal infection have been major issues in recent years. Invasive aspergillosis is associated with a significant death rate. Special attention should be given to endemic fungal infections, identification of important clinical fungal infections advanced in yeasts, filamentous fungal infections, skin mycobiome and fungal genomes, and immunity to fungal infections.\r\nIn addition, endemic fungal diseases or uncommon fungal infections caused by Mucor irregularis, dermatophytosis, Malassezia, cryptococcosis, chromoblastomycosis, coccidiosis, blastomycosis, histoplasmosis, sporotrichosis, and other fungi, should be monitored. \r\nThis topic includes the research progress on the etiology and pathogenesis of fungal infections, new methods of isolation and identification, rapid detection, drug sensitivity testing, new antifungal drugs, schemes and case series reports. It will provide significant opportunities and support for scientists, clinical doctors, mycologists, antifungal drug researchers, public health practitioners, and epidemiologists from all over the world to share new research, ideas and solutions to promote the development and progress of medical mycology.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/4.jpg",keywords:"Emerging Fungal Pathogens, Invasive Infections, Epidemiology, Cell Membrane, Fungal Virulence, Diagnosis, Treatment"},{id:"5",title:"Parasitic Infectious Diseases",scope:"Parasitic diseases have evolved alongside their human hosts. In many cases, these diseases have adapted so well that they have developed efficient resilience methods in the human host and can live in the host for years. Others, particularly some blood parasites, can cause very acute diseases and are responsible for millions of deaths yearly. Many parasitic diseases are classified as neglected tropical diseases because they have received minimal funding over recent years and, in many cases, are under-reported despite the critical role they play in morbidity and mortality among human and animal hosts. The current topic, Parasitic Infectious Diseases, in the Infectious Diseases Series aims to publish studies on the systematics, epidemiology, molecular biology, genomics, pathogenesis, genetics, and clinical significance of parasitic diseases from blood borne to intestinal parasites as well as zoonotic parasites. We hope to cover all aspects of parasitic diseases to provide current and relevant research data on these very important diseases. In the current atmosphere of the Coronavirus pandemic, communities around the world, particularly those in different underdeveloped areas, are faced with the growing challenges of the high burden of parasitic diseases. At the same time, they are faced with the Covid-19 pandemic leading to what some authors have called potential syndemics that might worsen the outcome of such infections. Therefore, it is important to conduct studies that examine parasitic infections in the context of the coronavirus pandemic for the benefit of all communities to help foster more informed decisions for the betterment of human and animal health.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",keywords:"Blood Borne Parasites, Intestinal Parasites, Protozoa, Helminths, Arthropods, Water Born Parasites, Epidemiology, Molecular Biology, Systematics, Genomics, Proteomics, Ecology"},{id:"6",title:"Viral Infectious Diseases",scope:"The Viral Infectious Diseases Book Series aims to provide a comprehensive overview of recent research trends and discoveries in various viral infectious diseases emerging around the globe. The emergence of any viral disease is hard to anticipate, which often contributes to death. A viral disease can be defined as an infectious disease that has recently appeared within a population or exists in nature with the rapid expansion of incident or geographic range. This series will focus on various crucial factors related to emerging viral infectious diseases, including epidemiology, pathogenesis, host immune response, clinical manifestations, diagnosis, treatment, and clinical recommendations for managing viral infectious diseases, highlighting the recent issues with future directions for effective therapeutic strategies.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/6.jpg",keywords:"Novel Viruses, Virus Transmission, Virus Evolution, Molecular Virology, Control and Prevention, Virus-host Interaction"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:null,selectedSubseries:null},seriesLanding:{item:null},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/65027",hash:"",query:{},params:{id:"65027"},fullPath:"/chapters/65027",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()