Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

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Field methods for sampling tree height for tropical forest biomass estimation
Sullivan, Martin J.P. ; Lewis, Simon L. ; Hubau, Wannes ; Qie, Lan ; Baker, Timothy R. ; Banin, Lindsay F. ; Chave, Jerôme ; Cuni-Sanchez, Aida ; Feldpausch, Ted R. ; Lopez-Gonzalez, Gabriela ; Arets, Eric ; Ashton, Peter ; Bastin, Jean François ; Berry, Nicholas J. ; Bogaert, Jan ; Boot, Rene ; Brearley, Francis Q. ; Brienen, Roel ; Burslem, David F.R.P. ; Canniere, Charles de; Chudomelová, Markéta ; Dančák, Martin ; Ewango, Corneille ; Hédl, Radim ; Lloyd, Jon ; Makana, Jean Remy ; Malhi, Yadvinder ; Marimon, Beatriz S. ; Junior, Ben Hur Marimon ; Metali, Faizah ; Moore, Sam ; Nagy, Laszlo ; Vargas, Percy Nuñez ; Pendry, Colin A. ; Ramírez-Angulo, Hirma ; Reitsma, Jan ; Rutishauser, Ervan ; Salim, Kamariah Abu ; Sonké, Bonaventure ; Sukri, Rahayu S. ; Sunderland, Terry ; Svátek, Martin ; Umunay, Peter M. ; Martinez, Rodolfo Vasquez ; Vernimmen, Ronald R.E. ; Torre, Emilio Vilanova ; Vleminckx, Jason ; Vos, Vincent ; Phillips, Oliver L. - \ 2018
Methods in Ecology and Evolution 9 (2018)5. - ISSN 2041-210X - p. 1179 - 1189.
Above-ground biomass estimation - Allometry - Carbon stocks - Forest inventory - Forest structure - Sample size
Quantifying the relationship between tree diameter and height is a key component of efforts to estimate biomass and carbon stocks in tropical forests. Although substantial site-to-site variation in height-diameter allometries has been documented, the time consuming nature of measuring all tree heights in an inventory plot means that most studies do not include height, or else use generic pan-tropical or regional allometric equations to estimate height. Using a pan-tropical dataset of 73 plots where at least 150 trees had in-field ground-based height measurements, we examined how the number of trees sampled affects the performance of locally derived height-diameter allometries, and evaluated the performance of different methods for sampling trees for height measurement. Using cross-validation, we found that allometries constructed with just 20 locally measured values could often predict tree height with lower error than regional or climate-based allometries (mean reduction in prediction error = 0.46 m). The predictive performance of locally derived allometries improved with sample size, but with diminishing returns in performance gains when more than 40 trees were sampled. Estimates of stand-level biomass produced using local allometries to estimate tree height show no over- or under-estimation bias when compared with biomass estimates using field measured heights. We evaluated five strategies to sample trees for height measurement, and found that sampling strategies that included measuring the heights of the ten largest diameter trees in a plot outperformed (in terms of resulting in local height-diameter models with low height prediction error) entirely random or diameter size-class stratified approaches. Our results indicate that even limited sampling of heights can be used to refine height-diameter allometries. We recommend aiming for a conservative threshold of sampling 50 trees per location for height measurement, and including the ten trees with the largest diameter in this sample.
Increased risk of pneumonia in residents living near poultry farms: does the upper respiratory tract microbiota play a role?
Smit, L.A.M. ; Boender, G.J. ; Steenhuijsen Piters, Wouter A.A. de; Hagenaars, T.J. ; Huijskens, Elisabeth G.W. ; Rossen, J.W.A. ; Koopmans, M. ; Nodelijk, H.A. ; Sanders, Elisbeth A.M. ; Yzermans, Joris ; Bogaert, Debby ; Heederik, D. - \ 2017
Pneumonia 9 (2017). - 9 p.
Background - Air pollution has been shown to increase the susceptibility to community-acquired pneumonia (CAP). Previously, we observed an increased incidence of CAP in adults living within 1 km from poultry farms, potentially related to particulate matter and endotoxin emissions. We aim to confirm the increased risk of CAP near poultry farms by refined spatial analyses, and we hypothesize that the oropharyngeal microbiota composition in CAP patients may be associated with residential proximity to poultry farms Methods - A spatial kernel model was used to analyze the association between proximity to poultry farms and CAP diagnosis, obtained from electronic medical records of 92,548 GP patients. The oropharyngeal microbiota composition was determined in 126 hospitalized CAP patients using 16S-rRNA-based sequencing, and analyzed in relation to residential proximity to poultry farms. Results - Kernel analysis confirmed a significantly increased risk of CAP when living near poultry farms, suggesting an excess risk up to 1.15 km, followed by a sharp decline. Overall, the oropharyngeal microbiota composition differed borderline significantly between patients living <1 km and ≥1 km from poultry farms (PERMANOVA p = 0.075). Results suggested a higher abundance of Streptococcus pneumoniae (mean relative abundance 34.9% vs. 22.5%, p = 0.058) in patients living near poultry farms, which was verified by unsupervised clustering analysis, showing overrepresentation of a S. pneumoniae cluster near poultry farms (p = 0.049). Conclusion - Living near poultry farms is associated with an 11% increased risk of CAP, possibly resulting from changes in the upper respiratory tract microbiota composition in susceptible individuals. The abundance of S. pneumoniae near farms needs to be replicated in larger, independent studies.
Ons microbioom : wat betekenen bacteriën voor onze gezondheid?
Kleerebezem, Michiel ; Hoekstra, Wiel ; Graaf, Astrid van de; Baarlen, Peter van; Belzer, Clara ; Bitter, Wilbert ; Bogaert, Debby ; Brummer, Robert-Jan ; Budding, Dries ; Aidy, Sahar El; Feskens, Edith ; Groen, Bert ; Hijum, Sacha ; Hooiveld, Guido ; Kleerebezem, Robbert ; Keijser, Bart ; Knol, Jan ; Lebeer, Sarah ; Nieuwdorp, Max ; Reijngoud, Dirk-Jan ; Roeselers, Guus ; Samson, Janneke ; Schaik, Willem van; Schalkwijk, Joost ; Vos, Willem de; Weele, Cor van der; Wells, Jerry ; Zeeuwen, Patrick ; Zoetendal, Erwin - \ 2016
Den Haag : Stichting Bio-Wetenschappen en Maatschappij (Cahier / Bio-wetenschappen en Maatschappij 35e jaargang (2016), kwartaal 4) - 87
Multi-year global land cover mapping at 300 M and characterization for climate modelling : Achievements of the land cover component of the ESA climate change initiative
Bontemps, S. ; Boettcher, M. ; Brockmann, C. ; Kirches, G. ; Lamarche, C. ; Radoux, J. ; Santoro, M. ; Bogaert, E. Van; Wegmüller, U. ; Herold, M. ; Achard, F. ; Ramoino, F. ; Arino, O. ; Defourny, P. - \ 2015
In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. - International Society for Photogrammetry and Remote Sensing - p. 323 - 328.
Consistency - Essential Climate Variable - Global - Land cover - Time series

Essential Climate Variables were listed by the Global Climate Observing System as critical information to further understand the climate system and support climate modelling. The European Space Agency launched its Climate Change Initiative in order to provide an adequate response to the set of requirements for long-term satellite-based products for climate. Within this program, the CCI Land Cover project aims at revisiting all algorithms required for the generation of global land cover products that are stable and consistent over time, while also reflecting the land surface seasonality. To this end, the land cover concept is revisited to deliver a set of three consistent global land cover products corresponding to the 1998-2002, 2003-2007 and 2008-2012 periods, along with climatological 7-day time series representing the average seasonal dynamics of the land surface over the 1998-2012 period. The full Envisat MERIS archive (2003-2012) is used as main Earth Observation dataset to derive the 300-m global land cover maps, complemented with SPOT-Vegetation time series between 1998 and 2012. Finally, a 300-m global map of open permanent water bodies is derived from the 2005-2010 archive of the Envisat Advanced SAR imagery mainly acquired in the 150m Wide Swath Mode.

Seeing Central African forests through their largest trees
Bastin, J.F. ; Barbier, N. ; Réjou-Méchain, M. ; Fayolle, A. ; Gourlet-Fleury, S. ; Maniatis, D. ; Haulleville, T. De; Baya, F. ; Beeckman, H. ; Beina, D. ; Couteron, P. ; Chuyong, G. ; Dauby, G. ; Doucet, J.L. ; Droissart, V. ; Dufrêne, M. ; Ewango, C.E.N. ; Gillet, F. ; Gonmadje, C.H. ; Hart, T. ; Kavali, T. ; Kenfack, D. ; Libalah, M. ; Malhi, Y. ; Makana, J.R. ; Pélissier, R. ; Ploton, P. ; Serckx, S. ; Sonké, B. ; Stevart, T. ; Thomas, D.W. ; Cannière, C. De; Bogaert, J. - \ 2015
Scientific Reports 5 (2015). - ISSN 2045-2322 - 8 p.
tropical forest - biomass - size - distributions - diversity - dynamics
Large tropical trees and a few dominant species were recently identified as the main structuring elements of tropical forests. However, such result did not translate yet into quantitative approaches which are essential to understand, predict and monitor forest functions and composition over large, often poorly accessible territories. Here we show that the above-ground biomass (AGB) of the whole forest can be predicted from a few large trees and that the relationship is proved strikingly stable in 175 1-ha plots investigated across 8 sites spanning Central Africa. We designed a generic model predicting AGB with an error of 14% when based on only 5% of the stems, which points to universality in forest structural properties. For the first time in Africa, we identified some dominant species that disproportionally contribute to forest AGB with 1.5% of recorded species accounting for over 50% of the stock of AGB. Consequently, focusing on large trees and dominant species provides precise information on the whole forest stand. This offers new perspectives for understanding the functioning of tropical forests and opens new doors for the development of innovative monitoring strategies.
Spatial patterns and morphology of termite (Macrotermes falciger) mounds in the upper Katanga, D.R. Congo
Mujinya, B.B. ; Adam, M.Y.O. ; Mees, F. ; Bogaert, J. ; Vranken, I. ; Erens, H. ; Baert, G. ; Ngongo, M. ; Ranst, E. van - \ 2014
Catena 114 (2014). - ISSN 0341-8162 - p. 97 - 106.
bellicosus isoptera - lubumbashi area - central-africa - d.r. congo - michaelseni - geochemistry - evolution - abundance - colonies - soils
This study examines the spatial distribution patterns and morphological characteristics of Macrotermes falciger mounds in the peri-urban zone of Lubumbashi, D.R. Congo. Spatial patterns of mounds were assessed using high-resolution satellite images for 24 plots of variable size (3 to 27 ha). Soil morphological features were described for five termite-mound profiles of 5 to 9 m depth/height. A mean areal number density of 2.9 ± 0.4 mounds ha- 1 is estimated for the degraded miombo woodland of the study area. Spatial statistical analyses document that termite mounds are regularly distributed in all studied plots. The overall mean nearest-neighbour distance between termite mounds is 44.6 ± 0.6 m. The high relative number of inactive mounds in the region, with regular distribution patterns, suggests that current termite mound occurrences are largely relict features. There are no clear indications for an impact of the nature of the parent material on the spatial distribution of the mounds. One aspect of differences in morphology between the studied mounds is that the stone layer occurs at greater depth in topographic low areas than at crest and slope positions. This is interpreted as being mainly conditioned by erosion. Mn–Fe oxide concentrations occurring in all studied termite mound profiles reflect a seasonally high perched water table beneath the mound, which is more pronounced at lower landscape positions. In summary, mound positions in the habitat are consistent with intraspecific competition rather than soil and substrate characteristics as controlling factor, whereas variation in morphological characteristics between termite-mound profiles appears to be a function of the parent material.
Conventional tree height-diameter relationships significantly overestimate aboveground carbon stocks in the Central Congo Basin
Kearsley, E. ; Haulleville, T. de; Hufkens, K. ; Kidimbu, A. ; Toirambe, B. ; Baert, G. ; Huygens, D. ; Kebede, Y. ; Defourny, P. ; Bogaert, J. ; Beeckman, H. ; Steppe, K. ; Boeckx, P. ; Verbeeck, H. - \ 2013
Nature Communications 4 (2013). - ISSN 2041-1723
tropical forests - landscape-scale - central-africa - live biomass - land-use - climate - deforestation - emissions - impacts - regions
Policies to reduce emissions from deforestation and forest degradation largely depend on accurate estimates of tropical forest carbon stocks. Here we present the first field-based carbon stock data for the Central Congo Basin in Yangambi, Democratic Republic of Congo. We find an average aboveground carbon stock of 162 +/- 20 Mg C ha(-1) for intact old-growth forest, which is significantly lower than stocks recorded in the outer regions of the Congo Basin. The best available tree height-diameter relationships derived for Central Africa do not render accurate canopy height estimates for our study area. Aboveground carbon stocks would be overestimated by 24% if these inaccurate relationships were used. The studied forests have a lower stature compared with forests in the outer regions of the basin, which confirms remotely sensed patterns. Additionally, we find an average soil carbon stock of 111 +/- 24 Mg C ha(-1), slightly influenced by the current land-use change.
Continental-scale variability in browser diversity is a major driver of diversity patterns in acacias across
Greve, M. ; Lykke, A.M. ; Fagg, C. ; Bogaert, J. ; Friis, I. ; Marchant, R. ; Marshall, A.R. ; Ndayishimiye, J. ; Sandel, B.S. ; Sandom, C. ; Schmidt, M. ; Timberlake, J.R. ; Wieringa, J.J. ; Zizka, G. ; Svenning, J. - \ 2012
Journal of Ecology 100 (2012)5. - ISSN 0022-0477 - p. 1093 - 1104.
plant-species richness - climate-change - spatial autocorrelation - autoregressive models - savanna - distributions - tree - determinants - herbivores - gradients
1. It has been proposed that, across broad spatial scales, climatic factors are the main drivers of ecological patterns, while biotic factors are mainly important at local spatial scales. However, few tests of the effect of biotic interactions on broad-scale patterns have been conducted; conclusions about the scale-dependence of the importance of biotic interactions thus seem premature. 2. We developed an extensive database of locality records of one of Africa’s most conspicuous groups, the acacias (the genera Senegalia and Vachellia), and used species distribution models (SDMs) to estimate the distribution of all African acacias. 3. African acacias are particularly well adapted against mammalian herbivory; therefore, we hypothesized that browser diversity could be an important driver of acacia richness. Species richness maps for the two genera were created from SDM-generated maps. Ordinary least square (OLS) regressions and, to consider spatial autocorrelation, simultaneous autoregressive (SAR) analyses were used to model richness of the two genera in relation to mammalian browser richness, current environment (including climate), and climate history since the Last Glacial Maximum (LGM). We used variation partitioning to determine what percentage of variation could be explained by these three groups of factors. 4. Both genera showed centres of richness in East Africa and the Limpopo Basin of southern Africa. Browser richness was the best explanatory variable for richness of both genera. Environmental factors explained negligible variation in the richness of Senegalia, but some variation in Vachellia. For both genera, the residuals of the species richness model of one genus also explained much variation in the richness of the other genus, indicating that common factors not considered in the richness analyses here may additionally be driving the richness of both genera. 5. Mechanisms that could generate a correlation between browser and acacia richness are proposed, and differences in the determinants of richness patterns of Senegalia and Vachellia discussed in the light of the two genera’s history of colonization of Africa. 6. Synthesis. This is the first study that demonstrates that consumer diversity can influence richness patterns at continental scales and demonstrates that biotic factors can drive richness even at broad spatial scales.
Producing global land cover maps consistent over time to respond the needs of the climate modelling community
Bontemps, S. ; Defourny, P. ; Bogaert, E. van; Herold, M. ; Kooistra, L. ; Kalogirou, V. ; Arino, O. - \ 2011
In: Producing global land cover maps consistent over time to respond the needs of the climate modelling community, Trento, Italy, 12 - 14 July, 2011. - Trento, Italy : The Institute of Electrical and Electronic Engineers, Inc - ISBN 9781457712029 - p. 161 - 164.
Accuracy assessment of global land cover maps: lessons learnt from the GlobCover and GlobCorine experiences
Defourny, P. ; Bontemps, S. ; Obsomer, V. ; Schouten, L. ; Bartalev, S. ; Herold, M. ; Bicheron, P. ; Bogaert, E. van; Leroy, M. ; Arino, O. - \ 2010
The validation of global land cover products becomes a critical and challenging issue as more global products are made available more regularly to the international community. The GlobCover 2005 product delivered in 2008 was the first global land cover product at 300 m resolution. Later on, the MODIS 500 m land cover product has been released in 2009 while the GlobCover 2009 is expected to be achieved as soon as early 2009. The GlobCover 2005 accuracy assessment was the first global exercise implemented according to the CEOS Land Product Validation group recommendations in order to assess the thematic accuracy of the 22 different land cover types described using the UN Land Cover Classification System (LCCS). The validation process consisted in three main steps: the reference data sources, the sampling strategy and the accuracy assessment. A specific working environment for on-screen collection of 'ground truth'data has been used by 16 international experts invited for 6 different 5-day workshops. Using web mapping capabilities like Google Earth, Virtual Earth and others as well as 8 years NDVI profiles, the experts were able to characterize more than 4000 validation points using the LCCS classifiers. This validation exercise has been repeated for the GlobCover 2009 product. The same set of experts were asked to confirm their land cover interpretation and possibly, to update their own interpretation from 2005 to 2009. This second set of validation points as well as those submitted to the interpretation of two different experts, allow studying the reference information consistency and quality over a large data set. Moreover, the GlobCorine 2005 product was also analysed with regards to the CORINE Land Cover product for further understanding. The research question of this paper is to investigate why the three last global land cover assessments, i.e. GLC2000, GlobCover, MODIS Collection 5 land cover product, varies from 68% to 74 % as overall accuracy figure. What is the level of legend providing the best accuracy? Is there a natural limit around 75 % of overall accuracy related to the quality of the reference data set? The results of this in-depth analysis are described and the lessons learnt from these global validation exercises are described to support any forthcoming global product validation plan. Furthermore, these results document the practical meaning of a global product overall accuracy figure from an end-user point of view.
Stochastic simulation of time series models combined with universal kriging: a framework to predict risks of water table depths in time and space
Manzione, R.L. ; Wendland, E. ; Knotters, M. - \ 2010
In: 8th International Conference on Geostatistics for Environmental Applications, Ghent, Belgium, 13 - 15 September, 2010. - Ghent, Belgium : Ghent University - p. 68 - 70.
Accuracy assessment of a 300 m global land cover map: the GlobCover experience
Defourny, P. ; Schouten, L. ; Bartalev, S. ; Bontemps, S. ; Cacetta, P. ; Wit, A.J.W. de; Bella, C. di; Gérard, B. ; Giri, C. ; Gond, V. ; Hazeu, G.W. ; Heinimann, A. ; Herold, M. ; Jaffrain, G. ; Latifovic, R. ; Lin, H. ; Mayaux, P. ; Mücher, C.A. ; Nonguiera, A. ; Stibig, H.J. ; Bogaert, E. van; Vancutsem, C. ; Bicheron, P. ; Leroy, M. ; Arino, O. - \ 2009
Optimization of the synthesis of 1-allyloxy-2-hydroxy-propyl-starch through statistical experimental design
Huijbrechts, A.M.L. ; Vermonden, T. ; Bogaert, P. ; Franssen, M.C.R. ; Visser, G.M. ; Boeriu, C.G. ; Sudhölter, E.J.R. - \ 2009
Carbohydrate Polymers 77 (2009)1. - ISSN 0144-8617 - p. 25 - 31.
corn starch - native corn - derivatives
The synthesis of 1-allyloxy-2-hydroxy-propyl starches was studied using a statistical experimental design approach. The etherification of two different granular maize starches with allyl glycidyl ether (AGE) in a heterogeneous alkaline suspension was investigated. The optimal reaction conditions were found via experimental design and the obtained response factor, e.g. the degree of substitution (DS) of the starch hydroxyl group, was statistically evaluated. The effects of six process factors on DS, namely the starch concentration, the reaction time, the temperature, and the amount of NaOH, Na2SO4 and AGE were investigated. The statistical analysis showed significant impact of the temperature, the amount of NaOH and the amount of AGE on the DS for both starches. Optimum conditions for the highest DS for waxy maize starch were: 0.0166% AGE (based on dry starch (ds)) and 1.0% NaOH (ds) at 34 °C in 4 h; on dent maize starch, these were 0.0099% AGE (ds) and 1.0% NaOH (ds) at 37 °C in 16 h.
Bayesian Maximum Entropy prediction of soil categories using a traditional soil map as soft information.
Brus, D.J. ; Bogaert, P. ; Heuvelink, G.B.M. - \ 2008
European Journal of Soil Science 59 (2008)2. - ISSN 1351-0754 - p. 166 - 177.
spatial prediction - variables
Bayesian Maximum Entropy was used to estimate the probabilities of occurrence of soil categories in the Netherlands, and to simulate realizations from the associated multi-point pdf. Besides the hard observations (H) of the categories at 8369 locations, the soil map of the Netherlands 1:50 000 was used as soft information (S). The category with the maximum estimated probability was used as the predicted category. The quality of the resulting BME(HS)-map was compared with that of the BME(H)-map obtained by using only the hard data in BME-estimation, and with the existing soil map. Validation with a probability sample showed that the use of the soft information in BME-estimation leads to a considerable and significant increase of map purity by 15%. This increase of map purity was due to the high purity of the existing soil map (71.3%). The purity of the BME(HS) was only slightly larger than that of the existing soil map. This was due to the small correlation length of the soil categories. The theoretical purity of the BME-maps overestimated the actual map purity, which can be partly explained by the biased estimates of the one-point bivariate probabilities of hard and soft categories of the same label. Part of the hard data is collected to describe characteristic soil profiles of the map units which explains the bias. Therefore, care must be taken when using the purposively selected data in soil information systems for calibrating the probability model. It is concluded that BME is a valuable method for spatial prediction and simulation of soil categories when the number of categories is rather small (say <10). For larger numbers of categories, the computational burden becomes prohibitive, and large samples are needed for calibration of the probability model.
Hydro-ecological modelling supported by imaging spectroscopy
Batelaan, O. ; Kooistra, L. ; Bertels, L. ; Verbeiren, B. ; Quoc, H. Le; Deronde, B. ; Bogaert, J. ; Schaepman, M.E. - \ 2006
Linking biochemical and biophysical variables derived from imaging spectrometers to ecological models - The HyEco'04 Group Shoot
Kooistra, L. ; Clevers, J.G.P.W. ; Schaepman, M.E. ; Dobben, H.F. van; Sykora, K.V. ; Holtland, J. ; Batelaan, O. ; Debruyn, W. ; Bogaert, J. ; Schmidt, A.M. ; Clement, J. ; Bloemmen, M.H.I. ; Muecher, C.A. ; Hoof, C. van den; Bruin, S. de; Stuiver, H.J. ; Zurita Milla, R. ; Malenovsky, Z. ; Wenting, P.F.M. ; Mengesha, T. ; Oort, P.A.J. van; Liras Laita, E. ; Wamelink, G.W.W. ; Schaepman-Strub, G. ; Hung, L.Q. ; Verbeiren, B. ; Bertels, L. ; Sterckx, S. - \ 2005
In: Imaging Spectroscopy - New Quality in Environmental Studies, 4th workshop on Imaging Spectroscopy, Warsaw, 27-29 April 2005. - Warsaw : Warsaw University - p. 283 - 291.
Process for oxidising starch
Sivasligil, D.S. ; Bogaert, P.M.P. ; Slaghek, T.M. - \ 2000
Octrooinummer: WO0031145, verleend: 2000-06-02.
The viscosity of starch and other carbohydrates can be lowered inexpensively, rapidly and without residual streams by treatment with hydrogen peroxide and a catalyst, in particular an organic acid or acid anhydride. After carbohydrate, hydrogen peroxide and catalyst have been brought together, the material is, if necessary, pre-dried at a temperature below 60 DEG C and the dried material is then treated at a temperature of 80 - 140 DEG C. The lowered viscosity is stable.
Werkwijze voor het oxideren van zetmeel
Sivasligil, D.S. ; Bogaert, P.M.P. ; Slaghek, T.M. - \ 2000
Octrooinummer: NL1010660C, verleend: 2000.
Werkwijze voor de oxidatie van koolhydraten
Sivasligil, D.S. ; Bogaert, P.M.P. ; Slaghek, T.M. - \ 2000
Octrooinummer: NL1010341C, verleend: 2000.
"Green" bleaching boosters for improved peroxide bleaching
Slaghek, T.M. ; Bogaert, P.M.P. ; Jong, E. de - \ 1999
In: 27th EUCEPA conferene : crossing the millenium frontier. Emerging and scientific challenges : proceedings and oral presentations: ATIP
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