Microbial Growth Parameters Research Articles

Advancing precision fermentation: Minimizing power demand of industrial scale bioreactors through mechanistic modelling

Minimizing power consumption in large-scale aerobic fermentation is essential for cost-effective operations. A mechanistic model of aerobic precision fermentation was developed integrating microbial growth parameters, thermodynamic data, and bioreactor properties. Results showed that agitation power dominated energy consumption at low oxygen transfer rates (OTR), shifting to aeration power (70 % of total) at high cell growth rates. In high OTRs, mixing time reduced to 60 s from an initial value of 211 s. Scale-up from 5 m³ to 100 m³ decreased total specific power by 88 %. Operating at elevated headspace pressure lowered agitation speed, reducing total power consumption at high OTR. Impeller to bioreactor diameter ratio impacted the required agitation speed without significantly altering total power demand. Experimental data in a 100 L case study indicated a 0.43 kW.m⁻³ average power requirement across a 96-hour fermentation period. Our model demonstrates effective strategies for minimization of power consumption in industrial-scale aerobic fermentations.

Yarrowia lipolytica yeast as a dietary supplement for rainbow trout (Oncorhynchus mykiss): Effects on gut microbiota, health and immunity

This study evaluated the effect of whole and autolysed Yarrowia lipolytica CBS 7504 strain on growth performance, gut immunity and gut microbiota composition in juvenile rainbow trout (Oncorhynchus mykiss). Fish were fed diets containing 2% and 5% whole or autolysed Y. lipolytica (WY and AY) in a 45-day trial, with a no-yeast diet as control. Log2 fold change analysis of Y. lipolytica diets showed relative change in abundance and association of certain microbial taxa with respect to control such as a correlation between the relative abundance of Desulfovibrionaceae in diets with WY. Moreover, diets at 5% and 2% levels demonstrated a synergistic association with relative levels of Sphingobacteriaceae and Rhodobacteraceae, respectively. However, the overall analyses showed little/no impact of Y. lipolytica supplementation on overall intestinal microbial composition, growth parameters and body indices. Gene expression analysis of the intestine revealed significant elevation in expression of immune-related genes of the complement pathway (c3 and c-type lectin), membrane receptor pathway (tlr2 and tlr5), mucosal innate immune pathway (muc-2), cytokines (tnf-α) and adaptive immune pathway (igt and cd4) in 5% WY. In conclusion, it can be inferred that dietary Y. lipolytica can be a useful functional feed supplement for rainbow trout when used as whole yeast at a 5% inclusion level since it can modulate gut microbial communities and act as a potential immunostimulant for the host.

Attenuation of biofilm formation of Listeria monocytogenes by bacteriocin producing Pediococcus pentosaceus DS1 on selected biotic and abiotic surfaces

The present study explores the antilisterial activities of potentially probiotic strain Pediococcus pentosaceus DS1 isolated from fermented bamboo shoot. 16s rRNA gene sequence analysis confirmed the identity of the strains. Class IIA bacteriocin pediocin expressing YGNGV motif was identified and its antilisterial activity was validated by well diffusion assay. When cocultured with P. pentosaceus DS1, in case of L. monocytogenes AMDK2, maximum biofilm exclusion (55.54 ± 3.44%) was observed which could be visually observed by Scanning electron micrographs. P. pentosaceus DS1 showed maximum adhesion inhibition to Caco-2 cell line in case of L. monocytogenes AMDK2 (91.8%) whereas maximum decrease in invasion was observed in case of L. monocytogenes MTCC 839 (52.9%). Coculture in UHT milk also significantly decreased microbial growth parameters of Listeria suggesting the efficiency of P. pentosaceus DS1 in the removal of Listeria contamination from food.

Evaluation of vaginal microbiome equilibrium states identifies microbial parameters linked to resilience after menses and antibiotic therapy.

The vaginal microbiome (VMB) is a complex microbial community that is closely tied to reproductive health. Optimal VMB communities have compositions that are commonly defined by the dominance of certain Lactobacillus spp. and can remain stable over time or transition to non-optimal states dominated by anaerobic bacteria and associated with bacterial vaginosis (BV). The ability to remain stable or undergo transitions suggests a system with either single (mono-stable) or multiple (multi-stable) equilibrium states, though factors that contribute to stability have been difficult to determine due to heterogeneity in microbial growth characteristics and inter-species interactions. Here, we use a computational model to determine whether differences in microbial growth and interaction parameters could alter equilibrium state accessibility and account for variability in community composition after menses and antibiotic therapies. Using a global uncertainty and sensitivity analysis that captures parameter sets sampled from a physiologically relevant range, model simulations predicted that 79.7% of microbial communities were mono-stable (gravitate to one composition type) and 20.3% were predicted to be multi-stable (can gravitate to more than one composition type, given external perturbations), which was not significantly different from observations in two clinical cohorts (HMP cohort, 75.2% and 24.8%; Gajer cohort, 78.1% and 21.9%, respectively). The model identified key microbial parameters that governed equilibrium state accessibility, such as the importance of non-optimal anaerobic bacteria interactions with Lactobacillus spp., which is largely understudied. Model predictions for composition changes after menses and antibiotics were not significantly different from those observed in clinical cohorts. Lastly, simulations were performed to illustrate how this quantitative framework can be used to gain insight into the development of new combinatorial therapies involving altered prebiotic and antibiotic dosing strategies. Altogether, dynamical models could guide development of more precise therapeutic strategies to manage BV.

BIORECLAMATORY STUDIES ON SALT AFFECTED SOIL BY USING CYANOBACTERIAL BIOFERTILIZERS

In the present investigation, three strains of cyanobacteria isolated from agricultural fields near to salt mine were used as biofertilizer individually and in consortia. Farm yard manure was also used along with cyanobacterial biofertilizers to see the ameliorative effect on soil physical, chemical and biological properties. The algalization experiment was conducted in pots in the glass house of the department for 240 days. There was an improvement in carbon, nitrogen, phosphate, potassium, magnesium, calcium, zinc, iron, copper and manganese with biofertilizers treatment whereas sodium ion, EC and pH were found to be decreased. Soil microbial activities and plant growth parameters were found to be improved. Thus, the cyanobacterial species show promise in effective exploitation for phytoremediation and improved productivity of saline soils.

Active microbial biomass decreases, but microbial growth potential remains similar across soil depth profiles under deeply-vs. shallow-rooted plants

Climate-smart land management practices that replace shallow-rooted annual crop systems with deeply-rooted perennial plants can contribute to soil carbon sequestration. However, deep soil carbon accrual may be influenced by active microbial biomass and their capacity to assimilate fresh carbon at depth. Incorporating active microbial biomass, dormancy, and growth in microbially-explicit models can improve our ability to predict soil's capacity to store carbon. But, so far, the microbial parameters that are needed for such modeling are poorly constrained, especially in deep soil layers. Here, we used a lab incubation experiment and growth kinetics model to estimate how microbial parameters vary along 240 cm of soil depth in profiles under shallow- (soy) and deeply-rooted (switchgrass) plants 11 years after plant cover conversion. We also assessed resource origin and availability (total organic carbon, 14C, extractable organic carbon, specific UV absorbance of K2SO4 extractable organic C, total nitrogen, total dissolved nitrogen) along the soil profiles to examine associations between soil chemical and biological parameters. Even though root biomass was greater and rooting depth was deeper under switchgrass than soy, resource availability and microbial growth parameters were generally similar between vegetation types. Instead, depth significantly influenced soil chemical and biological parameters. For example, resource availability and total and relative active microbial biomass decreased with soil depth. Decreases in the relative active microbial biomass coincided with increased lag time (response time to external carbon inputs) along the soil profiles. Even at a depth of 210–240 cm, microbial communities were activated to grow by added resources within a day. Maximum specific growth rate decreased to a depth of 90 cm and then remained consistent in deeper layers. Our findings show that >10 years of vegetation and rooting depth changes may not be long enough to alter microbial growth parameters, and suggest that at least a portion of the microbial community in deep soils can grow rapidly in response to added resources. Our study determined microbial growth parameters that can be used in microbially-explicit models to simulate carbon dynamics in deep soil layers.

Application of model fitting technique to enhance bacterial regrowth potential (BRP) measurement for drinking water supply monitoring

AbstractThe bacterial regrowth potential (BRP) method was utilised to indirectly measure the assimilable organic carbon (AOC) as an indicator for the assessment of the microbial regrowth potential in drinking water distribution systems. A model using various microbial growth parameters was developed in order to standardise the experimental interpretation for BRP measurement. This study used 82 experimental BRP data sets of water samples collected from the water treatment plant to locations (customer taps) in the distribution system. The data were used to model the BRP process (growth curve) by a data fitting procedure and to obtain a best-fitted equation. Statistical assessment and validation of the model obtained equation by fitting these 82 sets of data were conducted, and the results show average R2 values were 0.987 for treated water samples (collected at the plant prior to chlorination) and 0.983 for tap water (collected at the customer taps). The F values obtained from the F-test are all exceeded their corresponding F critical values, and the results from the t-test also showed a good outcome. These results indicate this model would be successfully applied in modelling BRP in drinking water supply systems.

Genesis of Antibiotic Resistance LXIV: Mechanism(s) of Attenuation of Antibiotic Resistant Bacterial Pathogen(s) (ARBP) virulence augmented by Social Engineering ‐ Break the chain of transmission of Infection

At present, the pathophysiological basis and its sequelae of antibiotic resistant bacterial pathogens induced infectious diseases (ARBID) pandemic and manageable preventive strategies are not well understood. Here we present the results from the investigation analyzing the data on the role of social distancing (SD by Shelter in / Stay home) and Contact Tracing(CT). The objective of SD/CT is to break the chain of transmission of ARBP infection by finding that infected person, identify their contacts and advise them to quarantine at home while educating them about breaking the chain of transmission of infection to mitigate the spread of infection by ARBID. According to the “Global Microbial Resistance Surveillance System,” data on antimicrobial resistance report, eight priority bacterial pathogens in humans namely: □i. Escherichia coli, ii. Klebsiella pneumonia, iii. Acinetobacter spp., iv. Staphylococcus aureus, v. Streptococcus pneumonia, vi. Salmonella spp, vii. Shigella spp, viii. Neisseria gonorrhoeae detected in blood, urine, stool, and genital swabs of patient samples are considered the greatest threat across the globe. Based on the continuum of pandemic phases and surveillance components presented in WHO/CDC report on “Global Influenza Programme,” we have extrapolated to ARP as a. interpandemic phase during which new ARBID could be detected in animals but not in humans possibly emerging low risk of human cases / high risk of human cases; b. the pandemic alert phase where detection of human cases with a possibility of increased evidence of human to human transmission of ARBID and c. pandemic phase where an increased, efficient, and sustained human to human transmission is reported as morbidity & mortality rate. According to 2019 AR Threats Report, classified as a. urgent threats, b. serious threats, and c. concerning threats, of which more than 2.8 million antibiotic-resistant infections occur in the U.S. To demonstrate the conceptual basis of SD/CT mediated attenuation, we have chosen ARBID considered as an urgent threat. The practice of social distancing by Staying six feet apart only congregate and small Gatherings when absolutely necessary would likely to bring the R zero value to a minimum reflected in the ability of an infected individual to transmit infection. Concurrently implementing CT, If the reproductive number for ARBID is between 2 and 3 so each person with this infection on average passes it along to two to three other people. By robust CT, essentially to bring the reproductive number down below one, averaging each person infected with the ARBP, infects fewer than one other person and that's when we can manage the pandemic effectively because we don't have that ongoing spread and exponential growth . We suggest that effective SD/CT would likely to alter the following microbial growth parameters such as temperature: a. Decimal reduction time (DRT or D value), b. Thermal death time (TDT) and c. Thermal death point (TDP). Taken together, an altered D, TDT, and TDP reflecting on R= zero value possibly by regression of exponential growth relieving the selection pressure causing deamplification of ARGR.

Assessment of Soil Chemical Quality, Soil Microbial Population and Plant Growth Parameters Under Organic and Conventional Rice–Wheat Cropping System

Low-input organic agriculture is preferred over conventional agriculture for its sustainability and environmentally friendly nature. In this investigation, a field trial experiment was conducted to unravel the effect of conventional and organic farming practices on soil health and productivity under rice–wheat cropping system. Moreover, the dynamics of microbial communities was analyzed under both the farming systems using denaturant gradient gel electrophoresis (DGGE) and qRT-PCR techniques. This study found that the soil organic carbon was significantly higher under the organic farming system (0.63 ± 0.3% in wheat and 0.88 ± 0.2% in rice) than the conventional farming system (0.2 ± 0.1% in wheat and 0.63 ± 0.3% in rice). Quantification of 16S rDNA and nifH genes revealed higher abundance of total bacteria (2.52 × 1011 in rice and 2.40 × 1011 in wheat) as well as diazotrophs (8 × 106 in rice and 1.8 × 107 in wheat) under the organic farming system. Therefore, higher copy number of nifH genes in organic soil indicated that the diazotrophs played a significant role in supplying N for plant growth. DGGE band pattern authenticated that the bacterial diversity was higher under organic farming system. This study also showed that conventional practice gives comparatively more yield i.e. 0.29 t ha−1 extra rice and 2.86 t ha−1 more wheat than in organic farming. All other plant growth parameters are found higher in organic except nitrate reductase activity. This study signifies that organic farming is sustainable and can substitute the conventional practice for cost-effective, beneficial soil health and environmental sustainability for the long term.

Compatibility of X-ray computed tomography with plant gene expression, rhizosphere bacterial communities and enzyme activities

Non-invasive X-ray computed tomography (XRCT) is increasingly used in rhizosphere research to visualize development of soil-root interfaces in situ. However, exposing living systems to X-rays can potentially impact their processes and metabolites. In order to evaluate these effects, we assessed the responses of rhizosphere processes 1 and 24 h after a low X-ray exposure (0.81 Gy). Changes in root gene expression patterns occurred 1 h after exposure with down-regulation of cell wall-, lipid metabolism-, and cell stress-related genes, but no differences remained after 24 h. At either time point, XRCT did not affect either root antioxidative enzyme activities or the composition of the rhizosphere bacterial microbiome and microbial growth parameters. The potential activities of leucine aminopeptidase and phosphomonoesterase were lower at 1 h, but did not differ from the control 24 h after exposure. A time delay of 24 h after a low X-ray exposure (0.81 Gy) was sufficient to reverse any effects on the observed rhizosphere systems. Our data suggest that before implementing novel experimental designs involving XRCT, a study on its impact on the investigated processes should be conducted.

Probing the bacterial detoxification of cadmium to form cadmium sulfide quantum dots and the underlying mechanism

A comprehensive study of the mechanism involved in the extracellular detoxification of cadmium via investigating the impact of microbial growth and environmental parameters on CdS QD formation.

Efficacy of selected botanicals in cultivation of Oyster Mushroom (Pleurotus florida) on Wheat straw

The present study was undertaken to evaluate the efficacy of leaves of botanicals in combination with wheat straw on the inhibition of microbial contaminants, growth and yield parameters as well as the nutritional parameters of Pleurotus florida. Five botanicals were used in this study namely Azadirachta indica, Eucalyptus globules, Phyllanthus emblica, Morus alba, Lantana camara and control-wheat straw and each treatment was replicated six times. Minimum time taken for complete mycelia run and minimum time for fruiting bodies formation were recorded in T1 (Neem + wheat straw) 13.67 days, 17.16 days and 20.50 days. While maximum number of fruiting bodies, yield (g/2 kg wet substrates) and biological efficiency (%) were recorded in T1 (Neem + wheat straw) 186.83, 992.32g, 175.22%, respectively. Maximum protein content (%) was recorded in T1 (Neem + wheat straw) 28.2% and maximum carbohydrate content (%) was recorded in T0 (Wheat straw) 40.9%.

Perfusion Microfermentor Integrated into a Fiber Optic Quasi-Elastic Light Scattering Sensor for Fast Screening of Microbial Growth Parameters.

This research presents a microfermentor integrated into an optical fiber sensor based on quasi-elastic light scattering (QELS) to monitor and swiftly identify cellular growth kinetic parameters. The system uses a 1310 nm laser light that is guided through single-mode silica optical fibers to the interior of perfusion chambers, which are separated by polycarbonate membranes (470 nm pores) from microchannels, where a culture medium flows in a constant concentration. The system contains four layers, a superior and an inferior layer made of glass, and two intermediate poly(dimethylsiloxane) layers that contain the microchannels and the perfusion chambers, forming a reversible microfluidic device that requires only the sealing of the fibers to the inferior glass cover. The QELS autocorrelation decay rates of the optical signals were correlated to the cells counting in a microscope, and the application of this microsystem to the monitoring of alcoholic fermentation of Saccharomyces cerevisiae resulted in the kinetic parameters of KM = 4.1 g/L and μm = 0.49 h−1. These results agree with both the data reported in the literature and with the control batch test, showing that it is a reliable and efficient biological monitoring system.

A novel natural coating for food preservation: Effectiveness on microbial growth and physicochemical parameters

This work describes the development of a sustainable and natural coating solution based on iota-carrageenan and rosemary extract intended to preserve cooked ham through dipping. Upon comparing the physical and microbial load changes between this solution and the traditional plastic wrap along 15 consecutive days, the results showed that in terms of microbial load the samples treated with the developed solution had a lower microbial count. Furthermore, only slight changes in moisture loss and hardness were observed between samples using the two tested preservation strategies. Colour analysis revealed that dipped samples presented reduced lightness, with a tendency to avoid shifting to a blue tone over the 15-days of storage. This work indicates that natural polymers combined with natural antimicrobials and antioxidants can be employed to reduce the dependence on synthetic polymers and offer feasible solutions to be applied at an industrial level.

Impact of farm-made liquid organic nutrients jevamirtham and fish amino acid on growth and nutritional status in different season of Abelmoschus esculentus—a self-sustainable field trial

In organic agriculture, jeevamirtham (J) and fish amino acids (FAA) (Liquid organic nutrient bioformulations—LONBFs) were used to improve the plant growth and soil fertility. The effect of J and FAA in combination on the growth, nutritional status, and yield of plant has not been scientifically evaluated. In this study, liquid organic preparations of J and FAA were prepared and applied to okra plants individually and in combination (J + FAA). The experimental fields were designed as T1—untreated control field, T2—chemical fertilizer treated field, T3—jeevamirtham-treated field, T4—fish amino acid-treated field, and T5—mixture of jeevamirtham and fish amino acid-treated field. Microbial population and growth parameters were significantly increased in the T3, T4, and T5 fields. Higher chlorophyll, carbohydrate, and protein contents and more fruits were observed in plants from the T3, T4, and T5 fields than in plants from T2 and T1. The most favorable results were recorded in the J+FAA-treated field (T5). Results showed that LONBFs enhanced the beneficial microbial flora and fauna, higher yields, and nutritional products compared with chemical fertilizer and untreated fields. Hence, this eco-friendly LONBF could be added as an integral component to reduce the impact of chemical fertilizer in modern agriculture practice.

Fecal microbiota profile in atopic asthmatic adult patients.

Background. Studies proposed a link between gut microbiota and airway tract. Objective. Study the diversity and density of gut microbiota in healthy and asthmatic patients. Method. Semi-quantitative stool cultures were performed from fecal samples collected from 80 adult asthmatic patients and 40 healthy individuals. Data on gender, age, dietetic history, clinical examination and investigations as skin prick test and pulmonary function testing were also collected. Results.Lactobacilli were found to be higher among patient group than control group. E. coli density was statistically higher in patient than control group. No significant difference was detected between male and female patients or controls. Lactobacilli were statistically more prevalent in stool culture of male cases than that of male controls. No difference was found between female cases and controls. There was no relationship between type of microbial growth and disease related parameters including age, duration of illness, number of allergens and pulmonary function test in cases. Conclusion. Atopic asthma is significantly associated with gut microbiota Lactobacilli and E. coli. It is important to determine the organism involved, to focus on microbiome-driven disease and therapies.

Identification of the Dominant Microbial Species of Spoiled Crisp Grass Carp (Ctenopharyngodon idellus C. et V.) and Grass Carp (Ctenopharyngodon idellus) Fillets during Cold Storage by Culture-Independent 16S rDNA Sequence Analysis

A new freshwater cultivation species, crisp grass carp (CGC; Ctenopharyngodon idellus C. et V.) has a special texture and is popular with consumers; thus, we should pay close attention to its storage conditions and bacterial degradation. CGC and grass carp (GC; Ctenopharyngodon idellus) were commercialized as fillets and subsequently stored at 4 and 8°C. Microbial growth parameters (total viable counts, psychrotrophic bacteria, and Pseudomonas spp.), physicochemical data (pH and total volatile base nitrogen), and sensory analysis were monitored during the storage period. Dominant microorganisms were identified using a 16S rDNA clone library and restriction fragment length polymorphism (RFLP) analysis after the fillets had spoiled completely. The results showed that Pseudomonas spp. lagged behind the psychrotrophic population and the total viable counts initially and increased more rapidly after storage for 2 days. Total volatile base nitrogen contents were found to increase with storage time in both species, coinciding with ongoing microbial change. The pH results obtained for both species during storage showed an overall increase at the end of storage. Sensory evaluation showed a shelf life of 3 and 6 days for both species at 8 and 4°C, respectively. RFLP analysis of the 16S rDNA clone library revealed that there were seven and five distinct RFLP pattern groups in the microflora of the spoiled CGC and GC fillets, respectively. Through RFLP patterns and 16S rDNA sequencing from the clones, it was determined that CGC fillets stored at 4°C were dominated by Pseudomonas spp. at the point of sensory rejection, whereas GC fillets were dominated by populations affiliated with Pseudomonas sp., Acinetobacter sp., and Aeromonas sp.

Effect of Biological and Mass Transfer Parameter Uncertainty on N₂O Emission Estimates from WRRFs.

This research used the detailed activated sludge model (ASM) to investigate the effect of parameter uncertainty on nitrous oxide (N2O) emissions from biological wastewater treatment systems. Monte Carlo simulations accounted for uncertainty in the values of the microbial growth parameters and in the volumetric mass transfer coefficient for dissolved oxygen (kLaDO), and the results show that the detailed ASM predicted N2O emission of less than 4% (typically 1%) of the total influent <inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="00580-ilm01.gif"/> loading. Uncertainties in kLaDO were further investigated in experiments, which showed that lower values of kLaDO generated higher soluble N2O levels. The detailed ASM likely requires revision to account for abiotic reactions and other factors that cause higher levels of N2O emission.

Degradation of Polycyclic Aromatic Hydrocarbon Pyrene by Biosurfactant-Producing Bacteria Gordonia cholesterolivorans AMP 10

&lt;p&gt;Pyrene degradation and biosurfactant activity by a new strain identified as &lt;em&gt;Gordonia cholesterolivorans &lt;/em&gt;AMP 10 were studied. The strain grew well and produced effective biosurfactants in the presence of glucose, sucrose, and crude oil. The biosurfactants production was detected by the decreased surface tension of the medium and emulsification activity. Analysis of microbial growth parameters showed that AMP10 grew best at 50 µg mL&lt;sup&gt;-1&lt;/sup&gt; pyrene concentration, leading to 96 % degradation of pyrene within 7 days. The result of nested PCR analysis revealed that this isolate possessed the &lt;em&gt;nah&lt;/em&gt;Ac gene which encodes dioxygenase enzyme for initial degradation of Polycyclic Aromatic Hydrocarbon (PAH). Observation of both tensio-active and emulsifying activities indicated that biosurfactants which produced by AMP 10 when grown on glucose could lower the surface tension of medium from 71.3 mN/m to 24.7 mN/m and formed a stable emulsion in used lubricant oil with an emulsifying index (E24) of 74%. According to the results, it is suggested that the bacterial isolates &lt;em&gt;G. cholesterolivorans&lt;/em&gt; AMP10 are suitable candidates for bioremediation of PAH-contaminated environments.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;How to Cite&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Kurniati, T. H., Rusmana, I. Suryani, A. &amp;amp; Mubarik, N. R. (2016). Degradation of Polycyclic Aromatic Hydrocarbon Pyrene by Biosurfactant-Producing Bacteria &lt;em&gt;Gordonia cholesterolivorans&lt;/em&gt; AMP 10. &lt;em&gt;Biosaintifika: Journal of Biology &amp;amp; Biology Education&lt;/em&gt;, 8(3), 336-343. &lt;/p&gt;

Use of UV-C and Gaseous Ozone as Sanitizing Agents for Keeping the Quality of Fresh-Cut Rocket (Eruca sativa mill)

The effects of UV-C radiation doses (5, 10 and 20 kJ/m2) and gaseous ozone doses (1, 2 and 5 ppm) on microbial growth and quality parameters of fresh-cut rocket (Eruca vesicaria subsp. Sativa) leaves throughout 12 days at 5C were investigated. As control, washing with water was used. Sensory attributes (general appearance, decay, color and odor), headspace gas composition, some chemical characteristics (chlorophyll a and b, total chlorophyll and total carotenoids) and microbial counts throughout shelf-life were studied. Fresh-cut rocket was not adversely affected by the UV-C and ozone treatment, maintaining the sensory quality during cold storage. The 20 kJ UV-C/m2 treatment was found to be better than the chlorine and gaseous ozone treatments, in terms of reducing the microbial load in fresh-cut rocket during 8 days of storage at 5C. Practical Applications The information provided in this study shows that the treatment with UV-C radiation and gaseous ozone treatment represent a novel technology that could be useful to the industry, allowing surface decontamination of fresh-cut rocket to be achieved while maintaining their overall quality. Its applications can easily be applied in industry.