Digital Commons Network^™

Supporting Family Meal Frequency: Screening Phase Results From The Simply Dinner Study, Jean M. Kerver, Holly E. Brophy-Herb, Julie Sturza, Mildred A. Horodynski, Dawn A. Contreras, Mara Stein, Erika Garner, Sheilah Hebert, Jessica M. Williams, Niko Kaciroti, Tiffany Martoccio, Laurie A. Van Egeren, Hailey Choi, Corby K. Martin, Koi Mitchell, Danielle Dalimonte-Merckling, L. Alexandra Jeanpierre, Chelsea A. Robinson, Julie C. Lumeng

Clinical Research Faculty Publications

We aimed to test main, additive, interactive effects, and feasibility of all possible combinations of six intervention components implemented for 8 weeks (Cooking/Serving Resources; Meal Delivery; Ingredient Delivery; Community Kitchen; Nutrition Education; Cooking Demonstrations). Primary outcomes were family meal frequency and preschoolers' dietary quality; secondary outcomes included family meal preparation type, meal preparation barriers, family functioning, and kitchen inventory adequacy. All possible intervention combinations were tested using a randomized factorial trial design in the first phase of a Multiphase Optimization Strategy (MOST). Feasibility was assessed via attendance, delivery logs, and satisfaction. Parent-reported data collection included: socio-demographics, frequency and type of …

Louisiana Agriculture Summer, 2022

Louisiana Agriculture

LSU AgCenter researchers constantly search for ways to improve Louisiana agriculture by increasing yields and profitability. They also seek to understand new and less popular crops that could thrive in our region. Professor Yan Chen is helping develop the tea industry along the Gulf Coast, working closely with producers to understand how to grow tea (Camellia sinensis) in the region, and her work is featured in the latest issue of Louisiana Agriculture magazine. The magazine also includes a look into Grow Louisiana and Growing Farmers, two programs designed to help beginning farmers learn the business. Researchers from the …

Event Based Approach For Modeling Indoor Airflow Patterns, Ehsan Mousavi, Arup Bhattacharya

Faculty Publications

People spend a significant proportion of their time indoors, where the quality of indoor air affects the productivity, efficiency, and well-being of occupants. One of the oldest challenges in building construction is designing a ventilation system that ensures optimum indoor air quality. Acceptable indoor air should provide thermal comfort and minimize human exposure to contamination. Characterizing these two elements requires information on both heat/mass transfer in the microenvironment and the time-specific activity of individuals who move among these microenvironments. While researchers have utilized simulation tools to investigate this complex human-environment interaction, current numerical techniques severely limit the simulations to overly …

Ethnic Discrimination And Alcohol-Related Problem Severity Among Hispanic/Latin Drinkers: The Role Of Social Anxiety In The Minority Stress Model, Julia D. Buckner, Elizabeth M. Lewis, Justin M. Shepherd, Michael J. Zvolensky

Faculty Publications

Introduction: Hispanic/Latin individuals in the U.S. experience many health disparities, including worse alcohol-related outcomes. Thus, identifying psycho-sociocultural factors that may play a role in alcohol-related problems among these individuals is vital to informing prevention and treatment efforts. Minority stress-based models of alcohol misuse posit that some Hispanic/Latin individuals may drink (and continue to drink despite drinking-related problems) to alleviate negative affect associated with experiencing ethnic discrimination. Yet, little research has directly tested this hypothesis. Given the social nature of both ethnic discrimination and drinking, it follows that experiencing more ethnic discrimination could be related to greater social anxiety and some …

Special Issue: Emerging Paradigms In Insulin Resistance, J. Jason Collier, Susan J. Burke

Division of Basic Science Faculty Publications

No abstract provided.

Licogliflozin For Nonalcoholic Steatohepatitis: A Randomized, Double-Blind, Placebo-Controlled, Phase 2a Study, Stephen A. Harrison, Federico Perez Manghi, William B. Smith, Diana Alpenidze, Diego Aizenberg, Naomi Klarenbeek, Chi Yi Chen, Eli Zuckerman, Eric Ravussin, Phunchai Charatcharoenwitthaya, Pin Nan Cheng, Helena Katchman, Samuel Klein, Ziv Ben-Ari, Anisha E. Mendonza, Yiming Zhang, Miljen Martic, Shenglin Ma, Sheena Kao, Sandra Tanner, Alok Pachori, Michael K. Badman, Yan Ling He, Chinweike Ukomadu, Eric Sicard

Clinical Research Faculty Publications

Nonalcoholic steatohepatitis (NASH) is a common chronic liver disease that may advance to fibrosis and lead to mortality; however, no pharmacotherapy is currently available. We tested the hypothesis that inhibition of both the sodium–glucose cotransporters 1 and 2 with licogliflozin would lead to improvement in NASH. A total of 107 patients with phenotypic or histologic NASH were randomized (1:2:2) to receive oral administration of either placebo (n = 21), licogliflozin 30 mg (n = 43) or 150 mg (n = 43) once daily for 12 weeks. Licogliflozin 150 mg showed a significant 32% (80% confidence interval (CI): 21–43%; P = …

Polyunsaturated Fatty Acid Intake And Brain Health: Balance Is The Key, Candida J. Rebello

Clinical Research Faculty Publications

No abstract provided.

The Covid-19 Pandemic And Associated Increases In Experiences Of Assault Violence Among Black Men With Low Socioeconomic Status Living In Louisiana, Kaylin Beiter, Denise Danos, Erich Conrad, Stephanie Broyles, Jovanny Zabaleta, Jason Mussell, Stephen Phillippi

Population and Public Health Science Faculty Publications

Background: The COVID-19 pandemic has had mental health, social, and economic implications among communities with high levels of social disadvantage; this may have impacted community violence rates. The objective of this study was to characterize overall trends in assault and social disadvantage of patients experiencing assault before and during the COVID-19 pandemic. Methods: All trauma activations at a level one trauma center serving the entire southeast Louisiana region were included during March–August pre-COVID (2018–2019) and during COVID (2020). ICD-10 E-codes were used to identify trauma intent (assault vs. other). Assaults in this context are defined as physical injuries caused by …

Ptsd Treatment Reduces Risk Of Trauma Recidivism In A Diverse Community At A Safety-Net Hospital: A Propensity Score Analysis Of Data From A Level One Trauma Center, Kaylin Beiter, Denise Danos, Erich Conrad, Stephanie Broyles, Jovanny Zabaleta, Jason Mussell, Stephen Phillippi

Population and Public Health Science Faculty Publications

Background: Physically-traumatic injuries result in PTSD for approximately 10% of Americans, and this rate is higher among individuals of color and those living in poverty. Individuals of color living in poverty experience lower access to PTSD and other mental health services. Untreated PTSD is associated with increased risk of trauma recidivism, but it is unknown if provision of treatment is actually associated with a subsequent reduction in recidivism risk. Methods: For this observational cross-sectional study, data were collected retrospectively from the Trauma Registry of a level one trauma center, safety-net hospital in New Orleans between 2018 and 2020. Receipt of …

Erratum: The Perfect Storm? Covid-19 And Substance Use Amongst Social Work Students In The Usa (The British Journal Of Social Work (2021) Doi: 10.1093/Bjsw/Bcab192), Youn Kyoung Kim, Sung Seek Moon, Mansoo Yu, Mee Young Um, Arati Maleku, Omoshola Kehinde, David Pooler

Faculty Publications

In the originally published manuscript, the affiliation for co-author Dr Arati Maleku contained an error. This should read: College of Social Work instead of College only. This error is now corrected in the article online.

The Perfect Storm? Covid-19 And Substance Use Amongst Social Work Students In The Usa, Youn Kyoung Kim, Sung Seek Moon, Mansoo Yu, Mee Young Um, Arati Maleku, Omoshola Kehinde, David Pooler

Faculty Publications

During the COVID-19 pandemic, health risk behaviours related to substance use have been recognised as a significant public health concern amongst university students. Understanding the mechanisms of substance use behaviours, including those used to cope with COVID-19-related stressors, is imperative to curate targeted prevention efforts. To that end, we examined substance use prevalence and its associations with socio-demographic characteristics, preventive behaviours, and mental health amongst US social work students. We collected data from 457 students across all degree levels (BSW, MSW and PhD) from July to August 2020 through an online survey, to examine thirty-day patterns of substance use behaviours …

Alliance Of Randomized Trials Of Medicine Vs Metabolic Surgery In Type 2 Diabetes (Armms-T2d): Study Rationale, Design, And Methods, Donald C. Simonson, Bo Hu, David E. Arterburn, Philip R. Schauer, Sangeeta R. Kashyap, Anita P. Courcoulas, David E. Cummings, Mary Elizabeth Patti, William F. Gourash, Ashley H. Vernon, John M. Jakicic, John P. Kirwan

Division of Basic Science Faculty Publications

Aims: Long-term data from randomized clinical trials comparing metabolic (bariatric) surgery versus a medical/lifestyle intervention for treatment of patients with obesity/overweight and type 2 diabetes (T2D) are lacking. The Alliance of Randomized Trials of Medicine vs Metabolic Surgery in Type 2 Diabetes (ARMMS-T2D) is a consortium of four randomized trials designed to compare long-term efficacy and safety of surgery versus medical/lifestyle therapy on diabetes control and clinical outcomes. Materials and Methods: Patients with T2D and body mass index (BMI) of 27-45 kg/m2 who were previously randomized to metabolic surgery (Roux-en-Y gastric bypass, adjustable gastric band, or sleeve gastrectomy) versus medical/lifestyle …

An Il1rl1 Genetic Variant Lowers Soluble St2 Levels And The Risk Effects Of Apoe-Ε4 In Female Patients With Alzheimer’S Disease, Yuanbing Jiang, Xiaopu Zhou, Hiu Yi Wong, Li Ouyang, Fanny C.F. Ip, Vicky M.N. Chau, Shun Fat Lau, Wei Wu, Daniel Y.K. Wong, Heukjin Seo, Wing Yu Fu, Nicole C.H. Lai, Yuewen Chen, Yu Chen, Estella P.S. Tong, Michael W. Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack, William Jagust, John Q. Trojanowski, Arthur W. Toga, Laurel Beckett, Robert C. Green, Andrew J. Saykin, John Morris, Leslie M. Shaw, Zaven Khachaturian, Greg Sorensen, Lew Kuller, Marcus Raichle, Steven Paul, Peter Davies, Howard Fillit

Clinical Research Faculty Publications

Changes in the levels of circulating proteins are associated with Alzheimer’s disease (AD), whereas their pathogenic roles in AD are unclear. Here, we identified soluble ST2 (sST2), a decoy receptor of interleukin-33–ST2 signaling, as a new disease-causing factor in AD. Increased circulating sST2 level is associated with more severe pathological changes in female individuals with AD. Genome-wide association analysis and CRISPR–Cas9 genome editing identified rs1921622, a genetic variant in an enhancer element of IL1RL1, which downregulates gene and protein levels of sST2. Mendelian randomization analysis using genetic variants, including rs1921622, demonstrated that decreased sST2 levels lower AD risk and related …

Beyond Quantum Cluster Theories: Multiscale Approaches For Strongly Correlated Systems, Herbert F. Fotso, Ka Ming Tam, Juana Moreno

Faculty Publications

The degrees of freedom that confer to strongly correlated systems their many intriguing properties also render them fairly intractable through typical perturbative treatments. For this reason, the mechanisms responsible for their technologically promising properties remain mostly elusive. Computational approaches have played a major role in efforts to fill this void. In particular, dynamical mean field theory and its cluster extension, the dynamical cluster approximation have allowed significant progress. However, despite all the insightful results of these embedding schemes, computational constraints, such as the minus sign problem in quantum Monte Carlo (QMC), and the exponential growth of the Hilbert space in …

Charging Of Radioactive And Environmental Airborne Particles, Gyoung G. Jang, Alexander I. Wiechert, Yong Ha Kim, Austin P. Ladshaw, Tyler Spano, Joanna Mcfarlane, Kristian Myhre, Joon Jin Song, Sotira Yiacoumi, Costas Tsouris

Faculty Publications

The charging of various airborne particles was investigated using single-particle levitation and charge-balance equations. Though radioactive decay and triboelectrification can induce charging, it is typically assumed that the aerosols in a radioactive plume will not carry significant charge at steady state since atmospheric particles can have their charge neutralized through the capture of adjacent counter-ions (i.e., diffusion charging). To assess this assumption, we directly measured the surface charge and charge density of various triboelectrically charged aerosols including radioactive uranium oxide (< 1 μm), urban dust, Arizona desert dust, hydrophilic and hydrophobic silica nanoparticles, and graphene oxide powders using an electric field-assisted particle levitator in air. Of these particles, uranium oxide aerosols exhibited the highest surface charge density. Charge balance equations were employed to predict the average charge gained from radioactive decay as a function of time and to evaluate the effects of diffusion charging on triboelectrically charged radioactive and non-radioactive particles in the atmosphere. Simulation results show that particles, initially charged through triboelectrification, can be quickly discharged by diffusion charging in the absence of radioactive decay. Nevertheless, simulation results also indicate that particles can be strongly charged when they carry radionuclides. These experimental and simulation results suggest that radioactive decay can induce strong particle charging that may potentially affect atmospheric transport of airborne radionuclides.

Levels And Correlates Of Objectively Measured Sedentary Behavior In Young Children: Sunrise Study Results From 19 Countries, Katharina E. Kariippanon, Kar A.R.H.A.U. Chong, Xanne Janssen, Simone A. Tomaz, Evelyn H.C. Ribeiro, Nyaradzai Munambah, Cecilia H.S. Chan, Pw Prasad Chathurangana, Catherine E. Draper, Asmaa El Hamdouchi, Alex A. Florindo, Hongyan Guan, Amy M.Y.S. Ha, Mohammad Sorowar Hossain, Dong Hoon Kim, Thanh Van Kim, Denise C.L. Koh, Marie Löf, Bang Nguyen Pham, Bee E.E.K. Poh, John J. Reilly, Amanda E. Staiano, Adang Suherman, Chiaki Tanaka, Hong K.I.M. Tang, Mark S. Tremblay, E. Kipling Webster, V. Pujitha Wickramasinghe, Jyh Y.H.E. Wong, Anthony D. Okely

Population and Public Health Science Faculty Publications

Purpose There is a paucity of global data on sedentary behavior during early childhood. The purpose of this study was to examine how device-measured sedentary behavior in young children differed across geographically, economically, and sociodemographically diverse populations, in an international sample. Methods This multinational, cross-sectional study included data from 1071 children 3-5 yr old from 19 countries, collected between 2018 and 2020 (pre-COVID). Sedentary behavior was measured for three consecutive days using activPAL accelerometers. Sedentary time, sedentary fragmentation, and seated transport duration were calculated. Linear mixed models were used to examine the differences in sedentary behavior variables between sex, country-level …

Mitochondrial Dna And Other Lines Of Evidence Clarify Species Diversity In The Peromyscus Truei Species Group (Cricetidae: Neotominae), Giovani Hernández-Canchola, Livia León-Paniagua, Jacob A. Esselstyn

Faculty Publications

Deer mice (genus Peromyscus) are among the commonest small mammals in the Nearctic zoogeographic region. Nevertheless, systematic relationships are only partially settled and numerous taxonomic questions await resolution. For instance, researchers have found that some members of the Peromyscus truei species group contain high levels of genetic divergence that could indicate the presence of cryptic species. We analyzed the systematics and phylogenetic relationships of the P. truei group using new and previously published mitochondrial cytochrome b sequences. Our analyses verify several earlier conclusions, but we also detected new clades that deserve recognition. Considering their mitochondrial distinctiveness, allopatric ranges, and previously …

Branched-Chain Amino Acids And Their Interactions With Lipid Metabolites For Increased Risk Of Gestational Diabetes, Ninghua Li, Jing Li, Hui Wang, Jinnan Liu, Weiqin Li, Kai Yang, Xiaoxu Huo, Junhong Leng, Zhijie Yu, Gang Hu, Zhongze Fang, Xilin Yang

Population and Public Health Science Faculty Publications

Objective: We aimed to explore associations of branched-chain amino acids (BCAA) in early pregnancy with gestational diabetes mellitus (GDM), and whether high BCAAs and lipidomics markers had interactive effects on the risk of GDM. Methods: We conducted a 1:1 case-control study (n=486) nested in a prospective cohort of pregnant women in Tianjin, China. Blood samples were collected at their first antenatal care visit (median 10 gestational weeks). Serum BCAAs, saturated fatty acids (SFA) and lysophosphatidylcholines (LPC) were measured by liquid chromatography-tandem mass spectrometry analysis. Conditional logistic regression was performed to examine associations of BCAAs with the risk of GDM. Interactions …

Ignoring Spatial And Spatiotemporal Dependence In The Disturbances Can Make Black Swans Appear Grey, R. Kelley Pace, Raffaella Calabrese

Faculty Publications

Automated valuation models (AVMs) are widely used by financial institutions to estimate the property value for a residential mortgage. The distribution of pricing errors obtained from AVMs generally show fat tails (Pender 2016; Demiroglu and James Management Science, 64(4), 1747–1760 2018). The extreme events on the tails are usually known as “black swans” (Taleb 2010) in finance and their existence complicates financial risk management, assessment, and regulation. We show via theory, Monte Carlo experiments, and an empirical example that a direct relation exists between non-normality of the pricing errors and goodness-of-fit of the house pricing models. Specifically, we provide an …

Predicting Elastic Constants Of Refractory Complex Concentrated Alloys Using Machine Learning Approach, Uttam Bhandari, Hamed Ghadimi, Congyan Zhang, Shizhong Yang, Shengmin Guo

Faculty Publications

Refractory complex concentrated alloys (RCCAs) have drawn increasing attention recently owing to their balanced mechanical properties, including excellent creep resistance, ductility, and oxidation resistance. The mechanical and thermal properties of RCCAs are directly linked with the elastic constants. However, it is time consuming and expensive to obtain the elastic constants of RCCAs with conventional trial-and-error experiments. The elastic constants of RCCAs are predicted using a combination of density functional theory simulation data and machine learning (ML) algorithms in this study. The elastic constants of several RCCAs are predicted using the random forest regressor, gradient boosting regressor (GBR), and XGBoost regression …

An Evaluation Of Hemp Cultivation Practices And Cannabinoid Analysis In South Louisiana, Kaylee M. Deynzer

LSU Master's Theses

Hemp (Cannabis sativa L.) cultivation research did not exist in Louisiana prior to 2020 (LSU AgCenter Therapeutic Cannabis Committee, 2020). Therefore, nine cultivars of essential oil-type hemp were evaluated in 2020 and 2021 to determine optimum planting dates, in-row plant spacings and THC compliancy for organic field production in south Louisiana. Until suitable genetics for Louisiana’s environment can be identified, an in-row spacing of three feet is recommended for field-grown hemp. Cultivars Berry Blossom, Queen Dream and Stormy Daniels produced sufficient biomass for commercial production. While Berry Blossom, Queen Dream, Oregon White and Putin’s Problem were high-yielding, Oregon White …

Editorial: Enviromics In Plant Breeding, Rafael Tassinari Resende, Karine Chenu, Soren K. Rasmussen, Alexandre Bryan Heinemann, Roberto Fritsche-Neto

Faculty Publications

No abstract provided.

Southwest Pacific Tropical Cyclone Development Classification Utilizing Machine Learning And Synoptic Composites, Rupsa Bhowmick, Jill C. Trepanier, Alex M. Haberlie

Faculty Publications

This study evaluates the ability of machine learning algorithms to classify tropical depressions (TDs) and tropical storms (TSs) in the western region of the southwest Pacific Ocean (SWPO). Decision rules are generated to predict the environment required for a depression to fully develop into a mature storm, and the most influential predictors in the classification decision are ranked. TD and TS are discriminated based on a maximum sustained wind speed threshold (≥17 ms−1). Various aerosol, thermodynamic, and dynamic parameters are extracted closest to the initiation point of each non-developing and developing sample. The covariates associated with each labelled sample are …

Methods And Devices For Sample Capture Using Gas-Pulse Nanoparticle Displacement, Kermit King Murray, Fabrizio Donnarumma, Jamira Stephenson

College of Science Patents

The present disclosure provides for sampling instruments and methods of collecting sample particles. The sampling instrument can include a high-pressure pulsed valve coupled to a gas flow system to displace a sample from a surface. Also included can be a voltage supply coupled to a voltage switch, a suction device, a sample collector, and a collection filter. To collect a sample, extractive particles can be deposited onto a sample present on a substrate. At least a portion of the sample becomes coupled to a portion of the extractive particles to form sample particles. High-pressure gas can be discharged at the …

Geographical Distribution, Allele Frequency, And Inheritance Of Cry1a.105 And Cry2ab2 Resistance In Helicoverpa Zea In The Southeastern Region Of The United States, Wenbo Yu

LSU Doctoral Dissertations

The corn earworm, Helicoverpa zea (Boddie), is a target pest of Bacillus thuringiensis (Bt) maize and cotton in the U.S. Previous studies have reported that this pest has developed field resistance to pyramided Cry1A/Cry2A maize and cotton in certain areas of the southern United States. The objectives of this study were to 1) determine the current status and distribution of the resistance to Cry1A.105 and Cry2Ab2 in H. zea in the southeastern United States; 2) estimate the resistance allele frequencies to the two Bt proteins in H. zea field populations in the region, and 3) assess the inheritance of the …

Engineering The Lanthanide And Actinide Dopants Effects On The Local Environment Of Luminescent Complex Metal Oxide, Yuming Wang

LSU Doctoral Dissertations

Rare earth (RE) based phosphor materials are widely used as luminescent probes in high-temperature optical thermometry where standard methods are unsuitable. The current generation of luminescent thermometers lacks stability and energy transport within the operating temperature ranges. The challenge is developing an oxide-based material with high luminescence intensity and thermal sensitivity/stability, suitable for an optical temperature sensor/thermal barrier coating. This work aims to develop a fundamental understanding of the local environment surrounding RE or actinide dopants in metal oxide hosts to engineer their luminescence property. To maximize the luminescence, the local symmetry, doping concentration, and radiative/non-radiative relaxation pathways must be …

Optimizing The Performance Of Parallel And Concurrent Applications Based On Asynchronous Many-Task Runtimes, Weile Wei

LSU Doctoral Dissertations

Nowadays, High-performance Computing (HPC) scientific applications often face per- formance challenges when running on heterogeneous supercomputers, so do scalability, portability, and efficiency issues. For years, supercomputer architectures have been rapidly changing and becoming more complex, and this challenge will become even more com- plicated as we enter the exascale era, where computers will exceed one quintillion cal- culations per second. Software adaption and optimization are needed to address these challenges. Asynchronous many-task (AMT) systems show promise against the exascale challenge as they combine advantages of multi-core architectures with light-weight threads, asynchronous executions, smart scheduling, and portability across diverse architectures.

In …

Amide-Based Electrolyte Battery, Daniel Kuroda, Kristen Fulfer, Kaylee Theresa Woodard

College of Science Patents

An energy storage apparatus is described and claimed herein comprising, generally, a battery housing enclosing a negative electrode, a positive electrode, and an electrolyte, wherein the electrolyte comprises a salt dissolved in either an amide-based solvent. In various embodiments, the amide-based solvent is a tertiary amide. Moreover, the energy storage apparatus may be a lithium ion battery that comprises an electrolyte with a lithium salt dissolved in a tertiary amide.

Readymades & Repertoires: Artifact-Mediated Improvisation In Tabletop Role-Playing Games, Philip Tchernavskij, Andrew M. Webb, Hayden Gemeinhardt, Wendy E. Mackay

Faculty Publications

Game masters (GMs) are creative practitioners who plan and orchestrate tabletop role-playing games. Through an interview study, we investigate how eight expert game masters adapt everyday technologies and materials as creativity support tools (CSTs) for improvisational and collaborative play. We integrate theories of improvisational and distributed creativity with the human-artifact model, which provides an activity-theoretical vocabulary for analyzing the mediating relationships between specialist practitioners and their tools. We show how GMs prepare and deploy readymade artifacts: analog and digital CSTs that flexibly mediate recurring creative tasks in their practice, such as improvising narrative elements, facilitating smooth play, and creating aesthetic …

Zein And Lignin-Graft-Plga Nanoparticles As Agrochemical Delivery Systems To Soybean Plants, Eban A. Hanna

LSU Master's Theses

The majority of applied agrochemicals are lost to the environment due to their poor adhesion to plant tissues, resulting in multiple applications and subsequent environmental toxicity. This thesis focuses on reducing these consequences by entrapping agrochemicals in polymeric nanoparticles (PNPs). In the first section, zein nanoparticles (ZNPs) with entrapped methoxyfenozide (MFZ) (209.0 ± 5.6 nm, -42.1 ± 2.1 mV) were synthesized and used to facilitate the translocation of MFZ to the leaves and stems of soybean plants, as measured by LC-MS, under hydroponic conditions. The agrochemical concentration increased within the leaves over time from 0.04 to 2.35 μg/g at 0.2 …