Le diabète de type 1 est une maladie auto-immune caractérisée par la destruction des cellules bêta des îlots de Langerhans du pancréas. Au cours de ce processus auto-immun, des auto-anticorps sont produits contre plusieurs antigènes des cellules bêta, par exemple l'insuline, l'acide glutamique décarboxylase (GAD65), la protéine tyrosine phosphatase (IA-2) et le transporteur de zinc (ZnT8). Au moins un auto-anticorps contre l'un de ces antigènes est présent dans> 95% des personnes atteintes de diabète de type 1 lors de la détection de l'hyperglycémie. Ces auto-anticorps peuvent servir de marqueurs précoces de diabète de type 1, car ils peuvent être présents des années avant l'apparition de la maladie, ce qui permet un diagnostic précoce avant les manifestations cliniques. Dans le cadre de cette thèse, nous avons développé, en partenariat avec une équipe de recherche clinique, une série de tests diagnostiques originaux, basée sur la détection précoce des différents auto-anticorps d’îlots de Langerhans à partir d'échantillons de sérum humain. Ces tests de diagnostic comprennent des tests bridging ELISA pour la détection d'auto-anticorps contre l'insuline, IA-2 et GAD65, qui sont rapides, facile à utiliser et n’utilisent pas de radioactivité. De plus, un test immunochromatographique sur bandelette pour la détection des auto-anticorps contre IA-2 a été développé. Le principal avantage des tests bandelettes est sa convivialité : les résultats peuvent être obtenus en 45 min en utilisant de très petits volumes de sérums et sans l'utilisation d’appareils spécialisés. Tous ces tests développés en interne ont été validés avec des échantillons de sérum de patients atteints de diabète de type 1 et de témoins sains et leurs performances ont été comparées avec celles de tests disponibles sur le marché. En outre, nous avons développé un test multiplex pour la détection simultanée de plusieurs auto-anticorps associés au diabète de type 1, ce qui permet de gagner du temps et d’augmenter la valeur diagnostic et prédictive du test par rapport à la détection d’un seul autoanticorps. Ce test multiplex a été validé pour la détection de deux autoanticorps (IA-2A et GADA) et comparé à nos tests ELISA de IA-2A et GADA. / Type 1 diabetes is an autoimmune disease characterized by the destruction of pancreatic beta cells within the islets of Langerhans. In the course of this autoimmune process, autoantibodies are generated against several beta-cell antigens, e.g. insulin, glutamic acid decarboxylase (GAD65), tyrosine phosphatase-like protein (IA-2) and zinc transporter 8 (ZnT8). At least one autoantibody against one of these antigens is present in >95% of individuals with type 1 diabetes upon hyperglycemia detection. These autoantibodies can serve as early markers of type 1 diabetes, since they can be present years before disease onset, allowing for an early diagnosis before clinical manifestations. In the course of this thesis we have developed, in partnership with a clinical research team, a series of original diagnostic tests, based on the early detection of the different anti-Langerhans islet autoantibodies from human serum samples. These diagnostic tests include bridging ELISAs for the detection of autoantibodies to insulin, IA-2 and GAD65, which are rapid, non-radioactive and easy-to-use. Moreover, a lateral flow immunoassay (dipstick) for detection of autoantibodies to IA-2 was developed. The key advantage of lateral flow immunoassay is its user-friendly format: results can be obtained within 45 min using very small volumes of sera and without the use of any specialized apparatus. All these in-house assays were validated with diabetic and healthy human serum samples and the assay performances were compared to commercially available tests on the market. In addition, we have developed a multiplex assay for simultaneous detection of multiple diabetes-associated autoantibodies, which is time-effective and increases the diagnostic and predictive values of the assay, comparing to single autoantibody detection. This multiplex assay was validated for detection of two autoantibodies i.e. IA-2A and GADA and compared to in-house IA-2A and GADA bridging ELISAs.

Les transferts latéraux de produits phytosanitaires en proche surface constituent une voie potentielle de contamination des eaux de surface dans certains contextes agro pédo climatique. L'objectif de cette thèse est d'apporter des éléments de connaissance et de compréhension de ces transferts. Un site viticole, dans le Nord Beaujolais, a ainsi été instrumenté avec une tranchée d'interception des écoulements latéraux, un canal Venturi et un réseau piézométrique. Cette instrumentation a ensuite été utilisée pour suivre les transferts latéraux et le ruissellement de produits phytosanitaires sur deux années viticoles. Enfin, une expérimentation de traçage in situ a été menée puis modélisée. Les résultats montrent une relation de seuil entre les volumes évènementiels d'écoulements latéraux captés, le degré de connectivité du versant, les volumes pluviométriques évènementiels, et l'humidité initiale du sol. La dynamique de transfert latéral des pesticides en proche surface s'est avérée très variable à l'échelle de l'évènement, mais en accord avec les propriétés physico chimiques des substances. À l'échelle de l'ensemble des évènements, les concentrations de ces produits dans l'écoulement latéral suivent une décroissance exponentielle temporelle. À l'échelle annuelle, la saisonnalité de l'écoulement latéral et du ruissellement semble expliquer la saisonnalité observée des transferts. L'expérimentation de traçage a permis d'identifier une composante préférentielle de l'écoulement latéral et une composante matricielle. La composante préférentielle a engendré des flux de substance significatifs et de concentrations élevées, mais fugaces. La composante matricielle a généré un flux de faible concentration, mais continu et de longue durée, qui a impliqué une contribution finale plus élevée que la composante préférentielle. Des liens explicatifs entre les propriétés des substances et ces composantes du transfert latéral ont pu être soulignés / Subsurface lateral flow may stand for a risky pathway in several agro pedo climatic contexts: in this way, the aim of this thesis work is to improve our understanding of pesticide transfer and dynamics by this pathway. A farmed vine plot, located on a hillslope in the Nord Beaujolais, was instrumented with a trench, a Venturi flume and a shallow groundwater well network. The instrumentation was used during two farming years to continuously monitor pesticide transfers in both subsurface lateral flows and surface runoff at a fine temporal resolution. Lastly, an in situ tracing experiment was conducted and modeled. Hydrological results highlighted a threshold relationship between subsurface lateral flow volumes measured in the trench, the degree of lateral connectivity of the hillslope, rainfall amounts and initial soil water content. The dynamics of these transfers was very variable at the event scale, and in agreement with the physico chemical properties of the substances. Considering all subsurface lateral flow events, pesticides concentrations were described using a decreasing exponential function depending on the time interval between a given event and the last application of the considered pesticides, and their physico chemical properties. At the year scale, the seasonality of pesticide transfers seemed related with the seasonality of subsurface lateral flow and surface runoff. The tracing experiment highlighted two components in subsurface lateral flow: a matrix related one and a preferential related flow component. The preferential component implied short, highly concentrated and significant lateral fluxes. Matrix related component produced continuous and slightly concentrated fluxes over a long period, and was responsible for a bigger part of the total transfer than the preferential component. Links between substance properties and transfer components were highlighted

abstract: Over the past several decades, there has been a growing interest in the use of fluorescent probes in low-cost diagnostic devices for resource-limited environments. This dissertation details the design, development, and deployment of an inexpensive, multiplexed, and quantitative, fluorescence-based lateral flow immunoassay platform, in light of the specific constraints associated with resource-limited settings. This effort grew out of the need to develop a highly sensitive, field-deployable platform to be used as a primary screening and early detection tool for serologic biomarkers for the high-risk human papillomavirus (hrHPV) infection. A hrHPV infection is a precursor for developing high-grade cervical intraepithelial neoplasia (CIN 2/3+). Early detection requires high sensitivity and a low limit-of-detection (LOD). To this end, the developed platform (DxArray) takes advantage of the specificity of immunoassays and the selectivity of fluorescence for early disease detection. The long term goal is to improve the quality of life for several hundred million women globally, at risk of being infected with hrHPV. The developed platform uses fluorescent labels over the gold-standard colorimetric labels in a compact, high-sensitivity lateral flow assay configuration. It is also compatible with POC settings as it substitutes expensive and bulky light sources for LEDs, low-light CMOS cameras, and photomultiplier tubes for photodiodes, in a transillumination architecture, and eliminates the need for expensive focusing/transfer optics. The platform uses high-quality interference filters at less than $1 each, enabling a rugged and robust design suitable for field use. The limit of detection (LOD) of the developed platform is within an order of magnitude of centralized laboratory diagnostic instruments. It enhances the LOD of absorbance or reflectometric and visual readout lateral flow assays by 2 - 3 orders of magnitude. This system could be applied toward any chemical or bioanalytical procedure that requires a high performance at low-cost. The knowledge and techniques developed in this effort is relevant to the community of researchers and industry developers looking to deploy inexpensive, quantitative, and highly sensitive diagnostic devices to resource-limited settings. / Dissertation/Thesis / Doctoral Dissertation Electrical Engineering 2018

Advances in molecular methods for analyzing DNA, RNA and proteins in humans as well as in other animals, plants, fungi, bacteria or viruses have greatly increased the resolution with which we can study life’s complexity and dynamics on earth. While genomic, transcriptomic and proteomic laboratory tools for molecular diagnosis of disease are rapidly becoming more comprehensive, the access to such advanced yet often expensive and centralized procedures is limited. There is a great need for rapid and comprehensive diagnostic methods in low-resource settings or contexts where a person can not or will not go to a hospital or medical laboratory, yet where a clinical analysis is urgent. In this thesis, results from development and characterization of novel technologies for DNA and protein microarray analysis are presented. Emphasis is on methods that could provide rapid, cost-effective and portable analysis with convenient readout and retained diagnostic accuracy. The first study presents a magnetic bead-based approach for DNA microarray analysis for a rapid visual detection of single nucleotide polymorphisms. In the second work, magnetic beads were used as detection reagents for rapid differential detection of presence of pestiviral family members using a DNA oligonucleotide microarray with read-out by means of a tabletop scanner or a digital camera. In paper three, autoimmune responses from human sera were detected on a protein autoantigen microarray, again by means of magnetic bead analysis. Here, special emphasis was made in comprehensively comparing the performance of the magnetic bead detection to common fluorescence-based detection. In the fourth study, an immunochromatographic lateral flow protein microarray assay is presented for application in the classification of contagious pleuropneumonia from bovine serum samples. The analysis could be performed within 10 minutes using a table top scanner, and the performance of the assay was shown to be comparable to that of a cocktail ELISA. In the fifth paper, the lateral flow microarray framework is investigated in further detail by means of experiments and numerical simulation. It was found that downstream effects play an important role, and the results further suggest that the downstream binding profiles may find use in simple affinity evaluation. / QC 20100713

Paper-fluidic devices are a popular platform for point-of-care diagnostics due to their low cost, ease of use, and equipment-free detection of target molecules. The most common example is the lateral flow assay, in which samples are added to a paper membrane and a colorimetric indicator provides a binary signal indicating whether the molecule of interest is present. A novel lateral flow assay was developed to detect a protein biomarker for early stage cervical cancer. Cervical cancer can be cured if detected and treated at an early stage, but approximately 90% of cervical cancer deaths occur in low and middle-income countries due to lack of accessible testing. Methods for detecting the biomarker, valosin-containing protein (VCP), were optimized using enzymatic and gold nanoparticle dot blots, then lateral flow assays were developed and validated using purified VCP and cervical cancer HeLa cells. Future validation with patient tissue samples will permit translation of this device to testing clinics in low-resource areas. Despite advantages for use in resource limited settings, lateral flow assays are limited by their inability to perform more complex or multi-step processes, such as nucleic acid amplification or enzymatic signal enhancement. Thermally actuated wax valves are one mechanism that provides complete control over fluid obstruction and release. To better understand how wax valves can be used in fully automated, self-contained lateral flow assays, different sizes and geometries of valves were tested to investigate their effects on actuation time, flow rate, and flow pattern. Another limitation in the understanding of lateral flow assays is the lack of experimental data describing the microscale flow within the pores of the paper membrane that drives the biophysical reactions in the assay. Mathematical models can be designed to explain macroscopic phenomena, but so far, no literature has compared microfluidic models to microfluidic data. To quantify microfluidic properties within lateral flow assays, fluorescent nanoparticles were imaged flowing through different areas of the membrane and their velocity was quantified using micro-particle image velocimetry (µPIV). Scanning electron microscope images were used to verify that this experimental model was reasonable for describing microfluidic properties of the lateral flow assay. Altogether, this document investigates how developing lateral flow assays for cervical cancer detection can save lives by improving the accessibility of an early diagnosis, and how more robust lateral flow assay characterization can expand their applicability to a broad range of detection processes.

A low cost compact diagnostic has many implications in today’s society. Smart phone technology has exponentially grown and with it the imaging capabilities associated with smart phones. The goals of this research are i) to determine the feasibility of combining in the field smart phone images with color dependent assay results, ii) to develop a MatLab® image analysis code to analyze these results, and iii) compare limits of detection between the un-aided eye and MatLab® image analysis software. Orange G dye is used to create a stock solution and subsequent titers for analysis. Autocad is used to design an assay platform of 10x10 wells that are printed via a Xerox® Phaser printer with wax ink onto nitrocellulose paper. Dilutions are performed and pipetted into the wells. The image analysis code is used to determine hue, saturation, and value (HSV) values of wells. A limit of detection study using the dye is performed. HSV values are used to form calibration curves. The resulting curve fit equations are then integrated into the image analysis code to determine dye concentration. Finally, the complete capability is demonstrated by using an analogous 10x10 well experimental nitrocellulose sheet, which included a follow-up experiment via a spot check analysis. This study illustrates the feasibility of a low cost image analysis as a tool for lateral flow assay diagnostic versus the unaided eye. Future work includes using this protocol in conjunction with a lateral flow immunoassay and developing an application for the analysis.

Point-of-care testing (POCT) is defined as medical testing at or near the site of patient care and has become a critical component of the diagnostic industry. POCT has many advantages over tests in centralized laboratories including small reagent volumes, small size, rapid turnaround time, cost-effectiveness, low power consumption and functional integration of multiple devices. Paper-based POCT sensors are a new alternative technology for fabricating simple, low-cost, portable and disposable analytical devices for clinical diagnosis. The focus of this dissertation was to develop simple, rapid and low cost paper-based POCT sensors with high sensitivity and portability for disease biomarker detection. Lateral flow strips (LFS) were used as the basic platform as it provides several key advantages such as simplicity, fast response time, on site and cost-effectiveness, and it can be used to detect specific substances including small molecules, large proteins and even whole pathogens, in a sample by immunological reactions. Earlier designs of paper strips lacked the quantitative information of the analyte concentration and could only provide single analyte detection at a time. In this study, a series of modifications were made to upgrade the platform to compensate for these limitations. First, we developed a gold nanoparticle based LFS for qualitative colorimetrical detection of bladder cancer related biomarkers in standard solutions and in urine samples. Second, by incorporating an image processing program “ImageJ”, a semi-quantitative LFS platform was established. The capability of the strip was evaluated by testing a small DNA oxidative damage biomarker in urine and cell culture models. Third, we combined the electrochemical method and colorimetrical method for quantitative biomarker detection. Finally, we integrated a commercialized blood glucose meter to quantitatively detection of two non-glucose biomarkers by converting their signals to that of glucose. The upgraded sensor could provide a noninvasive, rapid, visual, quantitative and convenient detection platform for various disease biomarkers. In addition, this platform does not require expensive equipments or trained personnel, deeming it suitable for use as a simple, economical and portable field kit for on-site biomarker monitoring in a variety of clinical settings.

Fästingburet encefalitvirus (TBEV) är ett RNA-virus som tillhör genuset flavivirus. Vid en TBEV-infektion är feber, trötthet, allmänpåverkan samt huvudvärk och muskelvärk vanligt förekommande symtom. Viruset överförs via saliven från fästingar under de första minuterna efter fästingbett. TBEV-IgM och ibland även TBEV-IgG återfinns i serum då symtom i centrala nervsystemet (CNS) yttrar sig i den andra fasen av sjukdomsförloppet. De senaste åren har prevalensen av fästingburen encefalit (TBE) ökat. Sedan 2017 har över 300 fall av TBE rapporterats årligen i Sverige. Laterala flödesanalyser (lateral flow assays, LFA) är billiga, enkla, snabba och baseras på portabla instrument som används bland annat inom biomedicinsk vetenskap. ReaScan® TBE IgM från det finska företaget Reagena är ett snabbtest, baserat på LFA-tekniken, för detektion av TBE-specifika IgM-antikroppar i humant serum och likvor. Syftet med studien var att undersöka om ReaScan® TBE IgM kan användas för att diagnostisera TBE på laboratoriet för Klinisk Mikrobiologi på länssjukhuset i Kalmar. Metodens prestanda undersöktes genom att analysera totalt 23 serumprover, 13 prover från TBE-patienter och 10 prover från icke-TBE-patienter. Sensitiviteten uppskattades genom att analysera 13 serumprover där förekomst av TBE-antikroppar sedan tidigare konfirmerats. Specificiteten uppskattades genom att analysera 10 serumprover från patienter utan känd TBEV-infektion. Den diagnostiska sensitiviteten respektive specificiteten beräknades till 100 %. På grund av den begränsade storleken på undersökningsmaterialet är dock den beräknade sensitiviteten och specificiteten ej helt tillförlitlig. Metodens prestanda ansågs vara tillräckligt god för att den skall kunna användas som en screening-metod för TBEV-IgM-antikroppar på laboratoriet för Klinisk Mikrobiologi på länssjukhuset i Kalmar. / Tick-borne encephalitis virus (TBEV) is an RNA virus that belongs to the genus flavivirus. Symptoms that commonly present during a TBEV infection include headaches, muscle pains, fever and malaise. The virus is transmitted with the saliva from ticks during the first minutes of their blood meal. TBEV-IgM and sometimes TBEV-IgG antibodies can be detected in the patient’s serum when central nervous system (CNS) symptoms present in the second phase of the disease. Over the last couple of years, the prevalence of tick-borne encephalitis (TBE) has increased. Since 2017 over 300 cases of TBE are reported every year in Sweden. Lateral flow assays (LFA) is the technology behind inexpensive, simple, quick and portable instruments that are used within the biomedical science field among others. ReaScan® TBE IgM developed by the Finnish company Reagena is a rapid test, based on the LFA technique, used for the detection of TBEV specific IgM antibodies in human serum and cerebrospinal fluid. The trial aimed to evaluate whether ReaScan® TBE IgM could be used to diagnose TBE at the laboratory of Clinical microbiology at the County hospital in Kalmar. The performance of the test was determined by analysing a total of 23 serum samples, 13 of which consisted of samples from patients with a previously confirmed TBE diagnosis and 10 samples from patients with no known TBEV infection. The diagnostic sensitivity and specificity were both determined to be 100 %. Due to the limited sample size, the calculated sensitivity and specificity are not particularly reliable.  The performance of the test was satisfactory and it could be used as a screening method for the detection of TBEV IgM antibodies at the department of Clinical microbiology at Kalmar County Hospital.

Existing methods for pathogen/pollutant detection or wound infection monitoring employ high-cost instruments that could only be operated by trained personnel, and costly device-based detection requires a time-consuming field-to-lab process. This expensive process with multiple prerequisites prolongs the time that patients must wait for a diagnosis. Therefore, improved methods for point-of-care biosensing are necessary. In this study, we aimed to develop a direct, easy-to-use, portable, low cost, highly sensitive and selective sensor platform with the goal of pollutant detection and wound infection/cancer migration monitoring. This study has two main parts, including microfluidic, electrical, and optical sensing platforms. The first part, including chapters 2, 3, and 4, focuses on Bisphenol A (BPA) lateral flow assay (LFA) detection; the second part, including chapter 5 focuses on the electrical sensing platform fabrication for one of the markers of inflammation, matrix metalloproteinases-9 (MMP-9), monitoring/detection. In chapters 2, 3, and 4, we found that the few lateral flow assays (LFAs) established for detecting the endocrine-disrupting chemical BPA have employed citrate-stabilized gold nanoparticles (GNPs), which have inevitable limitations and instability issues. To address these limitations, in chapter 2, a more stable and more sensitive biosensor is developed by designing strategies for modifying the surfaces of GNPs with polyethylene glycol and then testing their effectiveness and sensitivity toward BPA in an LFA. In chapter 3, we describe the development of a new range-extended bisphenol A (BPA) detection method that uses a surface enhanced Raman scattering lateral flow assay (SERS-LFA) binary system. In chapter 4, we examine advanced bisphenol A (BPA) lateral flow assays (LFAs) that use multiple nanosystems. The assays include three nanosystems, namely, gold nanostars, gold nanocubes, and gold nanorods, which are rarely applied in LFAs, compared with general gold nanoparticles. The developed LFAs show different performances in the detection of BPA. In chapter 5, a stable electrical sensing platform is developed for MMP-9 detection.

Trifft herabfallender Regen auf Waldflächen, so wird dieser Niederschlag umverteilt zu Interzeption, Stammabfluss, durchfallenden und abtropfenden Niederschlag. Besonders hohe Stammablaufmengen im Kronenzentrum und markante Abtropfstellen am Kronenrand einzelner Baumarten lassen sich zudem nur erklären, wenn am jeweiligen Messplatz unter Baumkronen eine weitere Niederschlagskomponente zugelassen wird, mit der laterale Wasserbewegungen innerhalb der expliziten Einzelbaumkrone beschrieben und bilanziert werden (lateraler [Zu- oder Ab-]Fluss). Ziel dieser Arbeit war es deshalb, der niederschlagsabhängigen und kleinräumigen Dynamik dieser Umverteilung im Wald am Beispiel der Baumarten Buche (Fagus sylvatica L.) und Fichte (Picea abies (L.) Karst.) durch Aufnahmen und Auswertungen in zwei Mischbeständen beider Baumarten nachzugehen. Wiederholende Niederschlagsaufzeichnungen einzelner Regenereignisse wurden hierzu in Relation zur jeweiligen Freilandniederschlagsmenge, zur Art der Messplatzüberschirmung im Kronendach und zur Distanz des Messplatzes zum ihn dominierenden Baum varianz- und regressionsanalytisch untersucht und um Ergebnisse aus Stammablaufanalysen und Streumodellen ergänzt. Auf dieser Basis konnten Kausalmodelle zur Schätzung des Unterkronenniederschlages mit hoher Güte hergeleitet werden, die im Detail ein baumartspezifisches räumliches Verhalten der einzelnen Niederschlagskomponenten beim Passieren der Baumkrone belegen. Neben den Besonderheiten, die sich bei Messungen in Bestandeslücken einstellen, ergeben sich so z.B. in der Vegetationsperiode je nach Messplatzposition und Freilandniederschlagsmenge Unterschiede im Niederschlag unter beiden Baumartenkronen von bis zu 35 % des Freilandniederschlages je Einzelereignis und zwar stets zugunsten der Buchenüberschirmung. Am Stammfuss von Buchen kann darüber hinaus zusätzliches Wasser durch den Stammabfluss eingetragen werden. Hierfür notwenige Wassermengen können plausibel aus dem nachgewiesenen lateralen Wasserabfluss im inneren Kronendrittel von Buchen gedeckt werden. Über ein räumlich konkretes Interzeptionsmodell, kombiniert mit Blattflächenschätzungen für Einzelbäume konkreter Dimension, konnte ein räumliches LAI-Modell für Buchen abgeleitet werden, dass höchste LAI-Werte im Kronenzentrum annimmt. Da der Bestandesniederschlag hinsichtlich Niederschlagsmenge, Bestockung, Belaubungszustand und zum räumlich konkreten Messplatz unter der einzelnen Baumkrone veränderlich ist, wird die gewissenhaftere Berücksichtigung dieser Einflussvariablen angeregt und der bisher häufig praktizierten pauschalen Aufteilung des Niederschlages in einzelne Niederschlagskomponenten auf Basis von Flächen- und Messphasendurchschnittswerten widersprochen. / Forests redistribute the precipitation falling on their canopy into interception, stemflow, drip or direct throughfall. Extremely high amounts of stemflow in the centre of the crown and distinct drip points along the crown edge of certain tree species can only be explained by admitting an additional precipitation component at these measurement locations that describes and captures the lateral movement of water within the individual tree crown (lateral in- or outflow). The aim of this study was therefore to analyse these precipitation-dependent, small-scale dynamics of precipitation redistribution in forests using field-measurements from two mixed stands of European beech (Fagus sylvatica L.) and Norway spruce (Picea abies (L.) Karst.). Periodic measurements of individual precipitation events were examined in relation to the respective gross precipitation, the type of canopy above a plot and the distance of a plot to its dominant sheltering canopy tree using variance and regression analysis, and complemented with stemflow analyses and litterfall models. Using this dataset, causal models for the high-precision estimation of throughfall were derived, showing tree species-specific pathways of the individual precipitation components through the tree crown. Apart from the particularities of measurements in canopy gaps, differences in throughfall between spruce and beech during the vegetation period amount to up to 35 % of gross precipitation per event, in favour of the beech canopy and depending on plot location. At the stem base of beech trees additional water can reach the forest floor via stemflow. The amount of water required to generate this stemflow can plausibly be explained by means of the verified lateral water flow in the inner third of beech crowns. Using a spatially explicit interception model combined with LAI estimates for specific individual trees, a spatial LAI model was developed for beech, showing maximal LAI values in the crown centre. As the net forest precipitation is sensitive with respect to precipitation amount, stand type, foliage status and the spatially explicit plot location below an individual tree crown, this study recommends the consideration of these influential factors and contradicts the commonly practiced blanket partitioning of precipitation into individual components based on spatial and temporal averages.