Sustainable waste management: a comprehensive life cycle assessment of bioethanol production from agricultural and municipal waste.

Biofuels have emerged as a promising and eco-friendly alternative to conventional fossil fuels. Biofuel sourced from rice straw (RS) and municipal solid waste (MSW), which are abundant residues from agricultural and municipal activities, present a sustainable solution to address waste management challenges. Utilizing life cycle assessment, this study quantifies the environmental advantages by assessing the reduction in greenhouse gas emissions, energy consumption, and other environmental impacts linked with employing these waste materials for biofuel production. Employing a cradle-to-gate approach as the system boundary for bioethanol production, with the functional unit set as per liter of bioethanol produced, the analysis reveals that the global warming potential (GWP) for ethanol from MSW is 4.4 kg CO2 eq., whereas for RS, it is 2.1 kg CO2 eq. per functional unit. The total environmental impacts were primarily due to enzymatic hydrolysis and electricity consumption for ethanol production from MSW and RS. Despite advancements, fossil fuel consumption remains a potential energy source for biofuel production. The cumulative energy demand stands at 18.6 MJ for RS and 71.5 MJ for MSW per functional unit, underscoring the potential to significantly reduce overall impacts by transitioning to a more environmentally sustainable energy source. The uncertainty analysis acknowledges the inherent uncertainties associated with data, assumptions, and methodologies, highlighting the crucial need for ongoing research and updates to enhance the accuracy of future assessments. This analysis forms the foundation for well-informed decision-making, providing valuable insights for policymakers, industry stakeholders, and consumers.

Enhancing drug bioavailability for Parkinson's disease: The promise of chitosan delivery mechanisms.

Parkinson's disease (PD) is a widely seen neurodegenerative condition recognized by misfolded α-synuclein (αSyn) protein, a prominent indicator for PD and other synucleinopathies. Motor symptoms like stiffness, akinesia, rest tremor, and postural instability coexist with nonmotor symptoms that differ from person to person in the development of PD. These symptoms arise from a progressive loss of synapses and neurons, leading to a widespread degenerative process in multiple organs. Implementing medical and surgical interventions, such as deep brain stimulation, has enhanced individuals' overall well-being and long-term survival with PD. It should be mentioned that these treatments cannot stop the condition from getting worse. The complicated structure of the brain and the existence of a semi-permeable barrier, commonly known as the BBB, have traditionally made medication delivery for the treatment of PD a challenging endeavor. The drug's low lipophilic nature, enormous size, and peculiarity for various ATP-dependent transport mechanisms hinder its ability to enter brain cells. This article delves at the potential of drug delivery systems based on chitosan (CS) to treat PD.

Correction: Bioprospecting of fungal endophytes from Oroxylum indicum (L.) Kurz with antioxidant and cytotoxic activity.

[This corrects the article DOI: 10.1371/journal.pone.0264673.].

Evolutionary analysis of tonoplast intrinsic proteins (TIPs) unraveling the role of TIP3s in plant seed development.

Tonoplast intrinsic proteins (TIPs) are crucial in facilitating the transportation of water and various small solutes across biological membranes. The evolutionary path and functional roles of TIPs is poorly understood in plants. In the present study, a total of 976 TIPs were identified in 104 diverse species and subsequently studied to trace their lineage-specific evolutionary path and tissue-specific function. Interestingly, TIPs were found to be absent in lower forms such as algae and fungi and they evolved later in primitive plants like bryophytes. Bryophytes possess a distant class of TIPs, denoted as TIP6, which is not found in higher plants. The aromatic/arginine (ar/R) selectivity filter found in TIP6 of certain liverworts share similarity with hybrid intrinsic protein (HIP), suggesting an evolutionary kinship. As plants evolved to more advanced forms, TIPs diversified into five different sub-groups (TIP1 to TIP5). Notably, TIP5 is a sub-group unique to angiosperms. The evolutionary history of the TIP subfamily reveals an interesting observation that the TIP3 subgroup has evolved within seed-bearing Spermatophyta. Further, TIPs exhibit tissue-specific expression that is conserved within various plant species. Specifically, the TIP3s were found to be exclusively expressed in seeds. Quantitative PCR analysis of TIP3s showed gradually increasing expression in soybean seed developmental stages. The expression of TIP3s in different plant species was also found to be gradually increasing during seed maturation. The results presented here address the knowledge gap concerning the evolutionary background of TIPs, specifically TIP3 in plants, and provide valuable insights for a deeper comprehension of the functions of TIPs in plants.

Hybrid optimal feature selection-based iterative deep convolution learning for COVID-19 classification system.

The COVID-19 pandemic has necessitated the development of innovative and efficient methods for early detection and diagnosis. Integrating Internet of Things (IoT) devices and applications in healthcare has facilitated various functions. This work aims to employ practical artificial intelligence (AI) approaches to extract meaningful information from the vast amount of IoT data to perform disease prediction tasks. However, traditional AI methods need help in feature analysis due to the complexity and scale of IoT data. So, this work implements the optimal iterative COVID-19 classification network (OICC-Net) using machine learning optimization and deep learning approaches. Initially, the preprocessing operation normalizes the dataset with uniform values. Here, random forest infused particle swarm-based black widow optimization (RFI-PS-BWO) algorithm was used to get the disease-specific patterns from SARS-CoV-2 (SC2), and other disease classes, where patterns of the SC2 virus are very similar to those of other virus classes. In addition, an iterative deep convolution learning (IDCL) feature selection method is used to distinguish features from the RFI-PS-BWO data. This iterative process enhances the performance of feature selection by providing improved representation and reducing the dimensionality of the input data. Then, a one-dimensional convolutional neural network (1D-CNN) was employed to classify and identify the extracted features from SC2 with no virus classes. The 1D-CNN model is trained using a large dataset of COVID-19 samples, enabling it to learn intricate patterns and make accurate predictions. It was tested and found that the proposed OICC-Net system is more accurate than current methods, with a score of 99.97 % for F1-score, 100 % for sensitivity, 100 % for specificity, 99.98 % for precision, and 99.99 % for recall.

Glucoconjugated Dinuclear Copper(II) Complex: An Efficient Catalyst for Stereoselective Synthesis of Trisubstituted Propargylamines via Solvent-free A3 Coupling Reaction.

Development of catalytic systems using nontoxic natural precursors is the need of the era, and along this line, we have synthesized a new D-glucose derived ligand (4,6-O-ethylidene-N-(2-hydroxy-4-(octyloxy)benzylidene)-ß-D-glucopyranosylamine) and its dinuclear copper(II) complex. The molecular structure of the complex has been established by single-crystal X-ray diffraction studies and detailed noncovalent intermolecular interactions present in it has been explored by Hirshfeld surface analysis. Further, the complex has been used as catalyst in the enantioselective (87-99% ee) synthesis of propargylamines in good to excellent yield (82-95%) via aldehyde-amines-alkynes (A3) coupling reaction under solvent-free condition. The formation of aminal intermediate during the reaction has been confirmed by 1H-NMR and single-crystal X-ray diffraction studies. The catalytic system is reusable without any appreciable loss in the enantioselectivity or product yield.

The Use of Ultrasound-Guided 3D-Constructed Obturator Device in the Management of Cleft Lip and Palate: A Case Series.

Oral clefts represent a significant craniofacial anomaly in neonates, presenting multifaceted challenges such as feeding difficulties, recurrent ear infections, speech impediments, poor growth, hearing impairments, and dental misalignments. These anomalies not only affect physical health but also have profound psychosocial implications for affected individuals and their families. Current management strategies aim to address these challenges comprehensively, and recent advancements in technology have offered innovative solutions. Among these, the integration of ultrasound-guided (USG) three-dimensional (3D)-constructed obturator devices has emerged as a promising approach to enhancing patient outcomes, particularly in achieving facial symmetry and facilitating early nutritional rehabilitation. This study presents a detailed case series of three term infants born to non-consanguineous parents with appropriate birth weights for their gestational age, each diagnosed with a unilateral cleft lip and palate (UCLP). The first infant also presented with left-hand polydactyly and a preauricular sinus, while the second was diagnosed with multicystic kidney disease based on kidney, ureter, and bladder (KUB) scan findings. Collaborating with the Smile Train organization and the maxillofacial surgery team, a comprehensive management plan was devised. In the initial phase, intraoral scanning (Medit Intraoral Scanner™, Seoul, South Korea; done at Saveetha Medical College and Hospitals, Chennai) and digital printing of the obturator plate were performed to capture precise anatomical details. Subsequently, 3D printing technology (Ender 3D Printer™, Creality, Shenzhen, China; done at Saveetha Medical College and Hospitals, Chennai) was employed to fabricate a customized obturator plate equipped with a nasal stent. This ultrasound (US)-guided 3D-constructed obturator device was designed to fit each infant's unique oral anatomy, providing optimal support and alignment. The implementation of this device within a week post birth played a pivotal role in expediting the initiation of direct breastfeeding and nutritional rehabilitation. Furthermore, one of the infants underwent cleft lip surgical repair at four months of age, showcasing the device's compatibility with subsequent surgical interventions. The utilization of US-guided 3D-constructed obturator devices in the management of cleft lip and palate (CLP) has demonstrated significant clinical benefits. These devices contribute to reduced facial deformities, mitigate nasal cartilage sagging, and foster enhanced weight gain. Additionally, they facilitate successful breastfeeding, thereby promoting early nutritional recovery. Moreover, the improved facial symmetry and cheek fullness resulting from this approach contribute to accelerated rehabilitation, thereby reducing the societal stigma often associated with craniofacial anomalies.

Climate change adaptation: Challenges for agricultural sustainability.

Climate change poses a substantial threat to agricultural sustainability globally. Agriculture is a vital component of the gross domestic production of developing countries. The multifaceted impacts of climate change on agriculture, highlighting how extreme weather events such as water stress, heatwaves, erratic rainfall, storms, floods, and emerging pest infestations are disrupting agricultural productivity. The socioeconomic status of farmers is particularly vulnerable to climatic extremes with future projections indicating significant increment in ambient air temperatures and unpredictable, intense rainfall patterns. Agriculture has historically relied on the extensive use of synthetic fertilizers, herbicides, and insecticides, combined with advancements in irrigation and biotechnological approaches to boost productivity. It encompasses a range of practices designed to enhance the resilience of agricultural systems, improve productivity, and reduce greenhouse gas emissions. By adopting climate-smart practices, farmers can better adapt to changing climatic conditions, thereby ensuring more sustainable and secure food production. Furthermore, it identifies key areas for future research, focusing on the development of innovative adaptation and mitigation strategies. These strategies are essential for minimizing the detrimental impacts of climate change on agriculture and for promoting the long-term sustainability of food systems. This article underscores the importance of interdisciplinary approaches and the integration of advanced technologies to address the challenges posed by climate change. By fostering a deeper understanding of these issues to inform policymakers, researchers, and practitioners about effective strategies to safeguard agricultural productivity and food security in the face of changing climate.

A Single Enzyme in Enantiocomplementary Synthesis of ß-Nitroalcohols: Bidirectional Catalysis by Hydroxynitrile Lyase.

A single enzyme, Baliospermum montanum hydroxynitrile lyase (BmHNL), without alteration, enabled bidirectional catalysis in enantiocomplementary synthesis of chiral ß-nitroalcohols. BmHNL catalyzed promiscuous Henry (24 examples) and retro-Henry reaction (22 examples) provided up to >99% and 50% conversion to (S)- and (R)-ß-nitroalcohols respectively, while both cases displayed up to >99% ee. The broad substrate scope and high stereoselectivity of BmHNL represents its synthetic applications in sustainable production of diverse chiral ß-nitroalcohols. Kinetic parameters of BmHNL was determined for Henry and retro-Henry reaction, which reveals poor catalytic efficiency for both the promiscuous transformations, however, the former has better efficiency than the latter. Practical applicability of the biocatalyst and transformation was illustrated by preparative scale synthesis of chiral intermediates of (S)-Tembamide, and (S)-Micanozole.

Can site-specific nutrient management improve the productivity and resource use efficiency of climate-resilient finger millet in calcareous soils in India?

Finger millet, an important 'Nutri-Cereal' and climate-resilient crop, is cultivated as a marginal crop in calcareous soils. Calcareous soils have low organic carbon content, high pH levels, and poor structure. Such a situation leads to poor productivity of the crop. Site-specific nutrient management (SSNM), which focuses on supplying optimum nutrients when a crop is needed, can ensure optimum production and improve the nutrient and energy use efficiency of crops. Moreover, developing an appropriate SSNM technique for this crop could offer new insights into nutrient management practices, particularly for calcareous soils. A field experiment was conducted during the rainy seasons of 2020 and 2021 in calcareous soil at Dr. Rajendra Prasad Central Agricultural University, Pusa, India. The experiment consisted of 8 treatments, viz. control, nitrogen (N)/phosphorus (P)/potassium (K)-omission, 75 %, 100 %, and 125 % recommended fertilizer dose (RFD), and 100 % recommended P and K + 30 kg ha-1 N as basal + rest N as per GreenSeeker readings. From this study, it was observed that the GreenSeeker-based SSNM resulted in the maximum grain yield (2873 kg ha-1), net output energy (96.3 GJ ha-1), and agronomic efficiency of N (30.6 kg kg-1), P (68.9 kg kg-1), and K (68.9 kg kg-1). The application of 125 % RFD resulted in ∼7 % lower yield than that under GreenSeeker-based nutrient management. Approximately 12 % greater energy use efficiency and 21-36 % greater nutrient use efficiency were recorded under GreenSeeker-based nutrient management than under 125 % RDF. The indigenous supplies of N, P, and K were found to be 14.31, 3.00, and 18.51 kg ha-1, respectively. Thus, 100 % of the recommended P and K + 30 kg ha-1 N as basal + rest N according to GreenSeeker readings can improve the yield, nutrient use efficiency, and energy balance of finger millet in calcareous soils.

Monitoring the progress and impact of a multicountry, interdisciplinary research project on childhood stunting: the UKRI GCRF Action Against Stunting Hub MEL protocol.

INTRODUCTION: Monitoring, Evaluation and Learning (MEL) is an integral part of research, programme and policy development and implementation. However, MEL methods used to monitor and evaluate interdisciplinary research projects are often informal and under-reported. This article describes the MEL protocol of the UKRI GCRF Action Against Stunting Hub (AASH). METHODS AND ANALYSIS: The AASH conducts interdisciplinary research into childhood stunting in India, Indonesia and Senegal across 23 distinct work packages. Project-specific MEL framework and methods will be implemented. A logframe will be developed to monitor and evaluate the research activities across the field sites including the number of participants recruited, questionnaires, measurements and procedures completed. MEL dashboards using Tableau and Glasscubes will be used to track and report progress, milestones and outcomes of the project. Dashboard outputs will be reported as numbers and percentages, with additional graphs/charts for easy visualisation. A 'learning' framework will be developed to outline appropriate pipelines for the dissemination of the research findings. This includes a theory of change explicating the overarching ambitions of the project in influencing policy, practice and research, and strategic engagement of relevant stakeholders to evaluate knowledge, attitudes and best practices for impactful engagement and dissemination of the research findings. ETHICS AND DISSEMINATION: Ethical approval was granted by the Ethics Committee of the London School of Hygiene & Tropical Medicine (17915/RR/17513); National Institute of Nutrition (ICMR)-Ministry of Health and Family Welfare, Government of India (CR/04/I/2021); Health Research Ethics Committee, University of Indonesia and Cipto Mangunkusumo Hospital (KET-887/UN2.F1/ETIK/PPM.00.02/2019); and the National Ethics Committee for Health Research (CNERS), Senegal (Protocole SEN19/78). Findings from this work will be published in peer-reviewed journals, presented in conferences and disseminated to policy makers and research communities.

Characterization of carotenoids extracted from Haloferax larsenii NCIM 5678 isolated from Pachpadra salt lake, Rajasthan.

Carotenoids are a diverse group of pigments known for their broad range of biological functions and applications. This study delves into multifaceted potential of carotenoids extracted from Haloferax larsenii NCIM 5678 previously isolated from Pachpadra Salt Lake in Rajasthan, India. H. larsenii NCIM 5678 was able to grow up to OD600 1.77 ± 0.03 with carotenoid concentration, 3.3 ± 0.03 µg/ml. The spectrophotometric analysis of carotenoid extract indicated the presence of three-fingered peak (460, 490 and 520 nm) which is a characteristic feature of bacterioruberin and its derivatives. The bacterioruberin was purified using silica gel column chromatography and thin layer chromatography. The carotenoid extract showed 12.3 ± 0.09 mm zone of growth inhibition with a minimum inhibitory concentration 546 ng/ml against indicator strain, H. larsenii HA4. The percentage antioxidant activity of carotenoid was found to be 84% which was higher as compared to commercially available ascorbic acid (56.74%). Thus, carotenoid extract from H. larsenii NCIM 5678 possesses unique attributes with compelling evidence of antimicrobial and antioxidant potential for the development of novel pharmaceuticals and nutraceuticals.

Heat stress induced piRNA alterations in pachytene spermatocytes and round spermatids.

BACKGROUND: Spermatogenesis is a temperature-sensitive process, and elevation in temperature hampers this process quickly and significantly. We studied the molecular effects of testicular heating on piRNAs and gene expression in rat testicular germ cells. METHODS: We generated a cryptorchid rat model by displacing the testis from the scrotal sac (34 °C) to the abdominal area (37 °C) and sacrificed animals after 1 day, 3 days, and 5 days. Pachytene spermatocytes and round spermatids were purified using elutriation centrifugation and percoll gradient methods. We performed transcriptome sequencing in pachytene spermatocytes and round spermatids to identify differentially expressed piRNAs and their probable targets, i.e., TE transcripts and mRNAs. RESULTS: As a result of heat stress, we observed significant upregulation of piRNAs and TE transcripts in testicular germ cells. In addition to this, piRNA biogenesis machinery and heat shock proteins (Hsp70 and Hsp90 family members) were upregulated. mRNAs have also been proposed as targets for piRNAs; therefore, we shortlisted certain piRNA-mRNA pairs with an inverse relationship of expression. We observed that in testicular heat stress, the heat shock proteins go hand-in-hand with the upregulation of piRNA biogenesis machinery. The dysregulation of piRNAs in heat-stressed germ cells, increased ping-pong activity, and disturbed expression of piRNA target transcripts suggest a connection between piRNAs, mRNAs, and TE transcripts. CONCLUSIONS: In heat stress, piRNAs, piRNA machinery, and heat shock proteins are activated to deal with low levels of stress, which is followed by a rescue approach in prolonged stressaccompained by high TE activity to allow genetic mutations, perhaps for survival and adaptability.

Alzheimer's disease: from early pathogenesis to novel therapeutic approaches.

The mainstay behind Alzheimer's disease (AD) remains unknown due to the elusive pathophysiology of the disease. Beta-amyloid and phosphorylated Tau is still widely incorporated in various research studies while studying AD. However, they are not sufficient. Therefore, many scientists and researchers have dug into AD studies to deliver many innovations in this field. Many novel biomarkers, such as phosphoglycerate-dehydrogenase, clusterin, microRNA, and a new peptide ratio (Aß37/Aß42) in cerebral-spinal fluid, plasma glial-fibrillary-acidic-protein, and lipid peroxidation biomarkers, are mushrooming. They are helping scientists find breakthroughs and substantiating their research on the early detection of AD. Neurovascular unit dysfunction in AD is a significant discovery that can help us understand the relationship between neuronal activity and cerebral blood flow. These new biomarkers are promising and can take these AD studies to another level. There have also been big steps forward in diagnosing and finding AD. One example is self-administered-gerocognitive-examination, which is less expensive and better at finding AD early on than mini-mental-state-examination. Quantum brain sensors and electrochemical biosensors are innovations in the detection field that must be explored and incorporated into the studies. Finally, novel innovations in AD studies like nanotheranostics are the future of AD treatment, which can not only diagnose and detect AD but also offer treatment. Non-pharmacological strategies to treat AD have also yielded interesting results. Our literature review spans from 1957 to 2022, capturing research and trends in the field over six decades. This review article is an update not only on the recent advances in the search for credible biomarkers but also on the newer detection techniques and therapeutic approaches targeting AD.

The exploration of Nanozymes for biosensing of pathological states tailored to clinical theranostics.

The nanozymes (NZs) are the artificial catalyst deployed for bio sensing with their uniqueness (high robustness, surface tenability, inexpensive and stability) for obtaining a better response/miniaturization of the varied sensors compared to their traditional ancestors. Now a days, nanomaterials with their broadened scale such as metal-organic frameworks (MOFs), metals/metal oxides are widely engaged in the generation of NZs based biosensors (BS). Diverse strategies like fluorescent, colorimetric, surface-enhanced Raman scattering (SERS), and electrochemical sensing principles were implemented for signal transduction of NZs. Despite of broad advantages, numerous encounters (like specificity, feasibility, stability and issues in scale-up) are affecting the potentialities of NZs based BS, and thus need a prior attention for a promising exploration for a revolutionary outcome in advanced theranostics. This review is included with different types of NZs, the progress of numerous NZs tailored bio-sensing techniques in detection of abundant bio analytes for the theranostic purpose. Further, discussion was highlighted with some recent challenges along with their progressive way of possible overcoming followed by commercial outbreaks.

Unveiling a Health Disparity: Comparative Analysis of Head and Neck Cancer Trends between First Nations People and Non-Indigenous Australians (1998-2015).

BACKGROUND: We aim to assess and compare the HNC trends between the First Nations and non-Indigenous population. METHODS: HNC incidence (1998-2013) and mortality (1998-2015) data in First Nations people and non-Indigenous Australians were utilised from the Australian Cancer Database. The age-standardised incidence and mortality trends along with annual percentage changes were analysed using Joinpoint models. Age-standardised incidence and mortality rates according to remoteness, states, and five-year survival rates among First Nations people and non-Indigenous Australians were presented as graphs. RESULTS: First Nations people had over twice the age-standardised incidence (2013; 29.8/100,000 vs. 14.7/100,000) and over 3.5 times the age-standardised mortality rates (2015; 14.2/100,000 vs. 4.1/100,000) than their non-Indigenous counterparts. Both populations saw a decline in mortality, but the decline was only statistically significant in non-Indigenous Australians (17.1% decline, 1998: 4.8/100,000, 2015: 4.1/100,000; p < 0.05). Across all remoteness levels and states, First Nations people consistently had higher age-standardised incidence and mortality rates. Furthermore, the five-year survival rate was lower by 25% in First Nations people. CONCLUSION: First Nations people continue to shoulder a disproportionate HNC burden compared to non-Indigenous Australians.

DFT simulated Quercetin imprinted polymer: Selective recovery of Quercetin from onion solid waste.

Onion peels (OP) are byproduct of food processing industries that poses economic and environmental challenges. However, being rich source of bioactive compounds like Quercetin (Qt), a polyphenolic antioxidant with potential health benefits, harnessing value from such waste can imbibe sustainable practices and protect environment. With this view, the present study targets selective recovery of Qt from OP waste using rationally designed molecularly imprinted polymer (MIP). Density Functional Theory (DFT) was used for the theoretical selection of the best conformer of Qt (template), methacrylic acid (MAA) as functional monomer, ratio of Qt-MAA for getting stable pre-polymerization complex, and to avoid hit and trial experiments. The theoretical results were validated experimentally by synthesizing MIP/ control polymer (NIP) using MAA as functional monomer, EGDMA as a cross-linker and AIBN as initiator. Synthesized MIP/NIP were characterized using various characterization techniques to confirm successful imprinting. Prepared MIP and NIP could effectively rebind the Qt molecule with binding capacity of 46.67 and 20.89 mg g-1 respectively. Furthermore, synthesized MIP could selectively recover 62.81 % of Qt from 1 g of dry onion peel powder. This study can be effectually used for sustainable recovery of Qt in large scale for various foods, cosmetic and pharmaceutical applications.

Comparative evaluation of biodegradation of chlorpyrifos by various bacterial strains: Kinetics and pathway elucidation.

The present study focused on the isolation and identification of CP and TCP bacteria degrading bacteria from the rhizospheric zone of aromatic grasses i.e. palmarosa (Cymbopogon martinii (Roxb. Wats), lemongrass (Cymbopogon flexuosus) and vetiver (Chrysopogon zizaniodes (L.) Nash.). So that these isolates alone or in combination with the vegetation of aromatic grasses will be used to clean up CP-contaminated soils. The study also explored enzymatic activities, CO2 release, dechlorination potential, and degradation pathways of bacterial strains. A total of 53 CP-tolerant bacteria were isolated on their physical characteristics and their ability to degrade CP. The ten highly CP-tolerant isolates were Pseudomonas aeruginosa Pa608, three strains of Pseudomonas hibiscicola R4-721 from different rhizosphere, Enterococcus lectis PP2a, Pseudomonas monteilii NBFPALD_RAS131, Enterobacter cloacae L3, Stenotrophomonas maltophilia PEG-390, Escherichia coli ABRL132, and Escherichia coli O104:H4 strain FWSEC0009. The CO2 emission and phosphatase activities of the isolates varied from 3.1 to 8.6 µmol mL-1 and 12.3 to 31 µmol PNP h-1, respectively in the CP medium. The degradation kinetics of CP by these isolates followed a one-phase decay model with a dissipation rate ranging from 0.048 to 0.41 d-1 and a half-life of 1.7-14.3 days. The growth data fitted in the SGompertz equation showed a growth rate (K) of 0.21 ± 0.28 to 0.91 ± 0.33 d-1. The P. monteilii strain had a faster growth rate while E. coli ABRL132 had slower growth among the isolates. The rate of TCP accumulation calculated by the SGompertz equation was 0.21 ± 0.02 to 1.18 ± 0.19 d-1. The Pseudomonas monteilii showed a lower accumulation rate of TCP. Among these, four highly effective isolates were Pseudomonas aeruginosa Pa608, Pseudomonas monteilii NBFPALD_RAS131, Stenotrophomonas maltophilia PEG-390, and Pseudomonas hibiscicola R4-721. Illustrations of the degradation pathways indicated that the difference in metabolic pathways of each isolate was associated with their growth rate, phosphatase, dehydrogenase, oxidase, and dechlorination activities.