Decision-tree-based ion-specific dosing algorithm for enhancing closed hydroponic efficiency and reducing carbon emissions.

The maintenance of ion balance in closed hydroponic solutions is essential to improve the crop quality and recycling efficiency of nutrient solutions. However, the absence of robust ion sensors for key ions such as P and Mg and the coupling of ions in fertilizer salts render it difficult to effectively manage ion-specific nutrient solutions. Although ion-specific dosing algorithms have been established, their effectiveness has been inadequately explored. In this study, a decision-tree-based dosing algorithm was developed to calculate the optimal volumes of individual nutrient stock solutions to be supplied for five major nutrient ions, i.e., NO3, K, Ca, P, and Mg, based on the concentrations of NO3, K, and Ca and remaining volume of the recycled nutrient solution. In the performance assessment based on five nutrient solution samples encompassing the typical concentration ranges for leafy vegetable cultivation, the ion-selective electrode array demonstrated feasible accuracies, with root mean square errors of 29.5, 10.1, and 6.1 mg·L-1 for NO3, K, and Ca, respectively. In a five-step replenishment test involving varying target concentrations and nutrient solution volumes, the system formulated nutrient solutions according to the specified targets, exhibiting average relative errors of 10.6 ± 8.0%, 7.9 ± 2.1%, 8.0 ± 11.0%, and 4.2 ± 3.7% for the Ca, K, and NO3 concentrations and volume of the nutrient solution, respectively. Furthermore, the decision tree method helped reduce the total fertilizer injections and carbon emissions by 12.8% and 20.6% in the stepwise test, respectively. The findings demonstrate that the decision-tree-based dosing algorithm not only enables more efficient reuse of nutrient solution compared to the existing simplex method but also confirms the potential for reducing carbon emissions, indicating the possibility of sustainable agricultural development.

Effects of Synbiotic Preparation Containing Lactobacillus gasseri BNR17 on Body Fat in Obese Dogs: A Pilot Study.

Obesity is an important health concern in humans and dogs. It can cause a variety of secondary problems, including low bacterial diversity. Several approaches have been tried to solve this problem; one of them is probiotic supplementation. Lactobacillus gasseri BNR17 is derived from breast milk and has been proven to be effective for obesity in humans. However, there have been no studies using a synbiotic preparation containing L. gasseri BNR17 for obesity management in dogs. Therefore, the present study evaluated the effectiveness of a synbiotic preparation containing L. gasseri BNR17 in reducing body fat in obese dogs. A group of obese dogs were fed a synbiotic preparation for 10 weeks. Obesity variables included body weight, body condition score, subcutaneous fat thickness, subcutaneous fat mass and proportion of the fat mass. In addition, feces collected at 0-week and 10-week time points were analyzed for the intestinal microbiome. Results showed a significant decrease in body weight, body condition score, and subcutaneous fat mass and proportion at the level of the third lumbar vertebra. Diversity and functional analysis of the microbiota in obese dogs showed increased microbial diversity, and increased abundance of metabolism of carbohydrate, and lipid after supplementation with a synbiotic preparation. This study was conducted as a pilot study, and the results demonstrated that a synbiotic preparation containing L. gasseri BNR17 may play a role in reducing body fat and resolving the obesity in dogs.

Hybrid Signal-Processing Method Based on Neural Network for Prediction of NO3, K, Ca, and Mg Ions in Hydroponic Solutions Using an Array of Ion-Selective Electrodes.

In closed hydroponics, fast and continuous measurement of individual nutrient concentrations is necessary to improve water- and nutrient-use efficiencies and crop production. Ion-selective electrodes (ISEs) could be one of the most attractive tools for hydroponic applications. However, signal drifts over time and interferences from other ions present in hydroponic solutions make it difficult to use the ISEs in hydroponic solutions. In this study, hybrid signal processing combining a two-point normalization (TPN) method for the effective compensation of the drifts and a back propagation artificial neural network (ANN) algorithm for the interpretation of the interferences was developed. In addition, the ANN-based approach for the prediction of Mg concentration which had no feasible ISE was conducted by interpreting the signals from a sensor array consisting of electrical conductivity (EC) and ion-selective electrodes (NO3, K, and Ca). From the application test using 8 samples from real greenhouses, the hybrid method based on a combination of the TPN and ANN methods showed relatively low root mean square errors of 47.2, 13.2, and 18.9 mg∙L-1 with coefficients of variation (CVs) below 10% for NO3, K, and Ca, respectively, compared to those obtained by separate use of the two methods. Furthermore, the Mg prediction results with a root mean square error (RMSE) of 14.6 mg∙L-1 over the range of 10-60 mg∙L-1 showed potential as an approximate diagnostic tool to measure Mg in hydroponic solutions. These results demonstrate that the hybrid method can improve the accuracy and feasibility of ISEs in hydroponic applications.

Triticum aestivum ethanolic extract improves non-alcoholic fatty liver disease in mice fed a choline-deficient or high-fat diet.

BACKGROUND: Although non-alcoholic fatty liver disease (NAFLD) has become more prevalent with the rapid increase of obesity worldwide, no specific treatment has been developed. Several studies have shown that wheatgrass extract Triticum aestivum (TA) improves lipid metabolism. In the present study, we evaluated the efficacy of GM-T (an ethanolic TA extract) in a murine NAFLD model. Mice were separated into 12 groups (n = 10): two groups of normal diet, choline-deficient diet (CDD) or high-fat diet (HFD) with vehicle, CCD or HFD with silymarin (400 mg kg-1 day-1 ), and CCD or HFD with GM-T (100, 200 or 400 mg kg-1 day-1 ). The study was performed for 8 weeks for the CDD groups and 12 weeks for the HFD groups. RESULTS: In the CDD-fed mice, GM-T improved serum liver enzyme activities and liver inflammation score compared to vehicle. In the HFD-fed mice, GM-T improved blood lipid profiles, liver inflammation score, steatosis score and obesity compared to vehicle. CONCLUSION: The present study demonstrated that GM-T effectively improved NAFLD in mice via a mechanism that improved insulin resistance and lipid metabolism, suggesting the possibility of a functional dietary supplement to improve liver health, overall metabolic syndrome and obesity. © 2018 Society of Chemical Industry.

Performance evaluation of the TheraTyper-GJB2 assay for detection of GJB2 gene mutations.

Mutations in the GJB2 gene are the most common cause of congenital hearing loss in many populations. This study describes the development of a matrix-assisted laser desorption/ionization time-of-flight mass spectrometry-based minisequencing assay, TheraTyper-GJB2, for the detection of c.35delG, c.167delT, and c.235delC mutations in the GJB2 gene. This assay was evaluated for analytic performance, including detection limit, interference, cross-reactivity, and precision, using GJB2 reference standards prepared by site-directed mutagenesis of a molecular clone. The detection limit was as low as 0.040 ng of human genomic DNA per PCR. No cross-reactivity with bacteria and viruses and no negative effects of increased levels of various potential interfering substances was observed. A precision test involving repetitive analysis of 2400 replicates showed 99.9% agreement (2397 of 2,400) with 99.8% (95% CI, 99.7%-99.8%) sensitivity and 100.0% (95% CI, 99.3%-100.0%) specificity. TheraTyper-GJB2 and direct sequencing assays showed 100% concordance for detecting mutations in 1,113 clinical specimens. Overall, TheraTyper-GJB2 showed comparable performance for detecting GJB2 mutations in reference and clinical samples with that of direct sequencing, and easier interpretation of results for analysis of a large quantity of samples. Therefore, the TheraTyper-GJB2 assay will be practically useful for the diagnosis of GJB2 mutations associated with congenital hearing loss with faster, cheaper, more reliable, and high-throughput capability.

Comparison of the clinical performance of restriction fragment mass polymorphism (RFMP) and Roche linear array HPV test assays for HPV detection and genotyping.

BACKGROUND: The need for accurate genotyping of human papillomavirus (HPV) infections is becoming increasingly important as HPV is the primary cause of cervical cancer worldwide. The matrix-assisted laser desorption ionization time-of-flight mass spectrometry-based restriction fragment mass polymorphism (RFMP) assay provides accurate, broad-spectrum, high-throughput genotyping of HPV. OBJECTIVES: We evaluated the clinical performance of the RFMP assay compared to a commercially available Roche linear array HPV genotyping test (LA) for detecting and genotyping of HPV. STUDY DESIGN: The RFMP assay and the LA were compared for detecting and genotyping HPV among a cohort of 244 liquid-based cytology samples. RESULTS: Overall, 216 specimens (93.1%, κ = 0.86) generated concordant results for the presence or absence of high-risk HPV (HR-HPV) by the two assays. The RFMP assay and the LA assay generated concordant, compatible, and discordant genotyping results for 79.3, 9.9, and 10.8%, respectively. The diagnostic sensitivity and specificity of RFMP and LA for the cervical lesions of squamous cell carcinoma (SCC) were similar, at 92.9 and 85.0% (RFMP) and 92.9 and 83.8% (LA), respectively. In addition, the odds ratio for SCC with HR-HPV positivity estimated by the RFMP assay (73.7, 95% CI: 8.9-3173.3) was higher than the LA assay (67.0, 95% CI: 8.2-2887.0). CONCLUSIONS: The RFMP and the LA assays were highly comparable with regard to detection and genotyping analysis of HPV. The sensitivity and specificity of RFMP assay for the detection of HR-HPV in various levels of cervical lesions seems to be valuable in the monitoring of HPV-associated cervical cancer.

Analytical and clinical performances of a restriction fragment mass polymorphism assay for detection and genotyping of a wide spectrum of human papillomaviruses.

Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry-based restriction fragment mass polymorphism (RFMP) assay was adapted to human papillomavirus (HPV) genotyping. The analytical sensitivity and the clinical utility were evaluated by testing defined HPV genome equivalents and a total of 426 specimens composed of normal cytology, atypical squamous cells of undetermined significance, low grade squamous intraepithelial lesion, high grade squamous intraepithelial lesion and invasive squamous cell carcinoma. The RFMP assay was able to detect 38.4-114.6 genomic equivalents of a wide variety of HPV types. The RFMP assay detected 34 different HPV genotypes in cervical samples of which 8% were found to be multiple-type infections. The high-risk HPV positivity rate according to the histological diagnosis was 7.9% (8/101), 31.7% (38/120), 50% (55/110), 86% (37/43), 96.2% (50/52) in normal, atypical squamous cells of undetermined significance, low grade squamous intraepithelial lesion, high grade squamous intraepithelial lesion and squamous cell carcinoma subgroups, respectively. Diagnostic sensitivities/specificities for the cervical lesions of squamous cell carcinoma and high grade squamous intraepithelial lesion or worse histology were found to be 96.2%/92.1% and 91.6%/92.1%, respectively. The sensitivity, accuracy, wide range of genotype identification and high-throughput capacity with cost-effectiveness of the test consumables make the RFMP assay suitable for mass screening and monitoring of HPV-associated cervical cancer.

Cellulosomic profiling produced by Clostridium cellulovorans during growth on different carbon sources explored by the cohesin marker.

Clostridium cellulovorans produces large extracellular enzyme complex, called cellulosomes. The diversity of the cellulosomal enzymes, which are secreted by C. cellulovorans that has been cultured on different carbon sources, such as Avicel, xylan, AXP (Avicel-xylan-pectin, 3:1:1) and cellobiose, was explored by two-dimensional gel electrophoresis. To identify the cellulosomal enzymes, we constructed a biomarker using cohesin 6, one of the CbpA cohesins, that was labeled with fluorescence. The major apparent spots were isolated and identified by ESI MS/MS protein sequencing. Fluorescently labeled cohesin clearly showed that the amount of the cellulosomal enzymes was influenced by the available carbon source. EngE, ExgS, EngK, XynB and ManA were most frequently expressed under all conditions. However, EngY was only observed on the AXP culture. We found two novel putative cellulosomal proteins, NC1[GH9] and NC2[GH26], and five unknown proteins, NU1, NU2, NU3, NU4 and NU5. The cohesin biomarker clearly showed different production patterns of the cellulosomal subunits under different culture conditions and revealed novel cellulosomal subunits.