Pierre Dardenne

ex Walloon Agricultural Research Centre CRA-W

Recently, a novel robust PLSR method was developed to address the problem of outliers in the data. In this paper, an extension of this method, called RoBoost-PLS2-R is proposed to predict multi-response variables. Robustness and efficiency of this new approach have been validated on two simulated data sets and one real data set containing different...

Benchtop and portable devices based on near infrared (NIR) spectroscopy are increasingly used to evaluate the quality parameters of fruits. This study aims to compare the analytical performance of a benchtop spectrometer (XDS) and a handheld ultra-compact spectrometer (MicroNIR) and to investigate calibration transfer between these devices for qual...

NIR has been used for decades as an innovative technique in agriculture. There are many benefits, and today, researchers active in agronomy science are not the only ones using NIR extensively in their daily research but also breeders, farmers and agri-processors, using it as an efficient tool for the assessment of a large number of parameters and c...

Spectroscopic techniques combined with chemometrics are a promising tool for analysis of seized drug powders. In this study, the performance of three spectroscopic techniques [Mid-InfraRed (MIR), Raman and Near-InfraRed (NIR)] was compared. In total, 364 seized powders were analyzed and consisted of 276 cocaine powders (with concentrations ranging...

Screening of seized cocaine powders is routinely performed by means of colour tests. An alternative fast screening technique is Mid-InfraRed (MIR) spectroscopy. In the context of smuggling cases, however, drugs are often processed to circumvent detection. In this study, the current screening techniques (cocaine colour test and MIR spectroscopy usin...

Methods and technologies enabling the estimation at large scale of important traits for the dairy sector are of great interest. Those phenotypes are necessary to improve herd management, animal genetic evaluation, and milk quality control. In the recent years, the research was very active to predict new phenotypes from the mid-infrared (MIR) analys...

A chemometric challenge was posed at the annual ‘Chimiométrie’ congress organized by the French Chemometrics Society in February 2019. The congress was held in Montpellier and the data relating to the challenge are available on the congress website (https://chemom2019.sciencesconf.org/). The aim of the challenge was to test the ability of congress...

A portable Fourier Transform Mid-InfraRed (FT-MIR) spectrometer using Attenuated Total Reflectance (ATR) sampling is used for daily routine screening of seized powders. Earlier, ATR-FT-MIR combined with Support Vector Machines (SVM) algorithms resulted in a significant improvement of the screening method to a reliable and straightforward classifica...

A local‐based method for near‐infrared spectroscopy predictions, the local partial least squares regression on global PLS scores (LPLS‐S), is proposed in this work and compared with the usual local PLS (LPLS) regression approach. LPLS‐S is based on the idea of replacing the original spectra with a global PLS score matrix before using the usual LPLS...

Hyperspectral imaging is a powerful technique that combines the advantages of near infrared spectroscopy and imaging technologies. Most hyperspectral imaging studies focus on qualitative analysis, but there is growing interest in using such technique for the quantitative analysis of agro-food products in order to use them as universal tools. The ov...

The recent developments of indirect models (e.g. bhb, methane emissions,…) based on mid infrared spectroscopy of milk have obliged the implementation of a standardization procedure. It permits their transfer between instruments of the same or/and different brands. Moreover, it stabilizes and corrects the deviations resulting from hardware modificat...

Large quantities of illicit drugs are frequently seized by law enforcement. In such cases, a representative number of samples needs to be quickly examined prior to destruction. No procedure has yet been set up which rapidly provides information regarding the homogeneity of the samples, the presence of controlled substances and the degree of purity....

Description of the subject. The article deals with the use of near-infrared spectroscopy (NIR) on fresh apples to determine the phenolic compounds and dry matter content in peel and flesh powders. Objectives. The aim is the rapid and non-destructive determination of these nutritional parameters. Method. Two hundred twenty-nine fruits from 20 variet...

An increasing number of models are being developed to provide information from milk Fourier transform mid-infrared (FT-MIR) spectra on fine milk composition, technological properties of milk, or even cows' physiological status. In this context, and to take advantage of these existing models, the purpose of this work was to evaluate whether a spectr...

Fourier-transform mid-infrared (FT-MIR) spectrometry is the most used method worldwide for compositional analysis and quality checks during routine liquid milk testing. The technique allows fast, non-destructive quantification of the (physico-)chemical properties of raw milk as an alternative to reference test methods, which are usually slow, diffi...

There are nearly 40 items that should ideally be reported when an NIR (near infrared) spectroscopy project is completed, either as a report or as a scientific paper. However, in our reading of the extensive literature, many of the papers presented or published report no more than 6–10 of these. The purpose of this tutorial is to indicate all of the...

Author Summary Classical chromatographic methods, such as ultra performance liquid chromatography (UPLC), are used as reference methods to assess seed quality and homogeneous pesticide coating of seeds. These methods have some important drawbacks since they are time consuming, expensive, destructive and require a substantial amount of solvent, amon...

Traditionally, fast screening for the presence of cocaine in unknown powders is performed by means of colour tests. The major drawbacks of these tests are subjective colour evaluation depending on the operator (‘50 shades of blue’) and a lack of selectivity. An alternative fast screening technique is Fourier Transform InfraRed (FTIR) spectrometry....

A chemometric challenge was proposed during the "Chimiométrie" congress 2016, held in Namur, Belgium, on 17–20 January. The aim of this contest was to challenge the ability of congress participants to build indirect Quantitative Structure-Retention Relationship models (QSRR) using the linear solvent strength (LSS) theory of reversed-phase liquid ch...

FT-MIR technology is worldwide used for fast and cost effective determination of major milk components. However, due to the different individual response of each instrument the potential of this technology is currently underexploited as new tools cannot be easily ported to other instruments. Recently a standardization method was developed in order...

Last version of the equation to predict CH4 emissions of dairy cows from milk MIR spectra and examples of applications on big spectral databases.

Considering the current increasing of herd size, there is a need for precise and rapid information on individual cow state. Mid infrared (MIR) technology is already used worldwide for milk analysis; it allows rapid and cost effective determination of milk composition. The objective of OptiMIR project was to optimize the use of MIR spectra in order...

The current context leads to more and more efficient and rational animal productions. The objective of the “Genotype plus Environment” project (G plus E) is to support novel phenotyping approaches to provide large scale phenotypes for a genomic study and contributing to the sustainability of dairy cow production systems. In this framework, 3 Europe...

The CGIAR Harvest Plus Challenge Program began in the mid-2000s to support the genetic improvement of nutritional quality in various crops, including the carotenoids content of cassava roots. Successful conventional breeding requires a large number of segregating progenies. However, only a few samples can be quantified by high performance liquid ch...

To manage negative energy balance and ketosis in dairy farms, rapid and cost-effective detection is needed. Among the milk biomarkers that could be useful for this purpose, acetone and β-hydroxybutyrate (BHB) have been proved as molecules of interest regarding ketosis and citrate was recently identified as an early indicator of negative energy bala...

�Mitigating the proportion of energy intake lost as methane could improve the sustainability and profitability of dairy production. As widespread measurement of methane emissions is precluded by current in vivo methods, the development of an easily measured proxy is desirable. An equation has been developed to predict methane from the mid-infrared...

The challenge of managing and breeding dairy cows is permanently adapting to changing production circumstances under socio-economic constraints. If managing and breeding address different timeframes of action, both need relevant phenotypes that allow for precise monitoring of the status of the cows, and their health, behavior, and well-being as wel...

Soybean meal was adulterated with melamine with the purpose of boosting the protein content for unlawful interests. In recent years, the near-infrared (NIR) spectroscopy technique has been widely used for guaranteeing food and feed security for its fast, nondestructive, and pollution-free characteristics. However, there are problems with using near...

The ban on using processed animal proteins in feedstuffs led the feed sector to look for other sources of protein. Dried distillers grains with solubles (DDGS) could be considered as an important source in this regard. They are imported into Europe mainly for livestock feed. Identifying their origin is essential when labelling is missing and for fe...

In this study, the concept of a Local moving window along the wavelength range in vibrational spectroscopic data was used to build reduced PCA models for characterizing agro-food products and detecting the presence of unusual ingredients or contaminants in an untargeted way. For each selected wavelength window in a locally reduced calibration set,...

The objective of this work was to devise a complete procedure based on chemometrics and the use NIR spectroscopy at the entrance of a feed mill to provide early evidence of non-conformity and unusual ingredients and thus help to achieve cost-savings. The procedure was validated at laboratory level and was adapted for application at the Cargill Anim...

The main goal of this study was to develop, apply, and validate a new method to predict an indicator for CH4 eructed by dairy cows using milk mid-infrared (MIR) spectra. A novel feature of this model was the consideration of lactation stage to reflect changes in the metabolic status of the cow. A total of 446 daily CH4 measurements were obtained us...

The study examined the prediction error of near infrared reflectance spectroscopy of faeces (FNIRS) in estimations of in vivo organic matter digestibility (OMD) and dry and organic matter voluntary intake (DMVI and OMVI) of forages by ruminants in established calibration datasets from our laboratories. It also examined the repeatability of the FNIR...

The goal of this study was to find a procedure to standardize dairy milk mid-infrared spectra from different Fourier transform mid-infrared spectrophotometers (different brands or models) inside a European dairy network to create new farm-management indicators (e.g., fertility, health, feed, environmental impact) based on milk infrared spectra. Thi...

The soil science community is facing a growing demand of regional, continental, and worldwide databases in order to monitor the status of the soil. However, the availability of such data is very scarce. Cost-effective tools to measure soil properties for large areas (e.g., Europe) are required. Soil spectroscopy has shown to be a fast, cost-effecti...

An analysis of the entries to the IDRC “shoot-out” based on a petrochemical dataset. The participants chose quite different approaches to get prediction results that also varied significantly.

The reliability of local and partial least square (PLS) near infrared (NIR) models to predict the chemical characteristics of fibrous plant biomasses was compared. Validations with different degrees of independence were used. The developed NIR models were reliable for the prediction of different main chemical characteristics of various fibrous plan...

The reliability of different models to predict the biochemical methane potential (BMP) of various plant biomasses using a multispecies dataset was compared. The most reliable prediction models of the BMP were those based on the near infrared (NIR) spectrum compared to those based on the chemical composition. The NIR predictions of local (specific r...

1 Introduction Fibrous plant biomasses have an important potential as a source of renewable fuels and chemicals because of their great availability and sustainability. They represent therefore an important biomass resource for a bio-based economy [1,2]. Fibrous plant biomasses need to be analyzed to estimate reliably the available amounts and quali...

The scope of this article is to propose an innovative method based on Near Infrared Hyperspectral Chemical Imaging (NIR HCI) to rapidly and non destructively evaluate the relative degree of collagen preservation in bones recovered from archaeological contexts. This preliminary study has allowed the evaluation of the potential of the method using bo...

This study was aimed at exploring the feasibility of detecting and quantifying melamine, and the structural analogue cyanuric acid, contamination in soybean meal, using line-scan near infrared (NIR) hyperspectral imaging spectroscopy (HIS). Soybean meal is one of the main ingredients used in the feed industry because it offers a complete protein pr...

Predicting species composition in mixed swards by near infrared reflectance spectroscopy (NIRS) can save labour in grassland research, provided equations are available. This study compares calibration strategies to predict species composition in swards with tall fescue (Festuca arundinacea), perennial ryegrass (Lolium perenne) and white clover (Tri...

The scope of this work is to propose a method based on near infrared hyperspectral imaging to automatically sort different parts of onions (dry peel, outer skin and onion bulbs) produced during specific industrial processes. For this purpose, two procedures have been developed; one is based on computation of the spectral area related to the organic...

For decades, Near InfraRed Spectroscopy (NIRS) has been widely used in the food and feed industry in order to implement rapid, relatively inexpensive and efficient control tools to assure the quality of products. NIRS is a branch of the molecular vibrational spectroscopy that refers to the measurement of radiation intensity (i.e. absorbance) as a f...

This paper presents a literature review on the development of near infrared reflectance spectroscopy for soil analysis and the contribution of this technique to the evaluation of soil fertility analysis. This technique is used to estimate the chemical composition of soil samples on the basis of their absorption properties. It is therefore an indire...

This preliminary work comprises examples where near infrared (NIR) hyperspectral imaging has been applied to identify animal bone material in complex sieved soil-sediment matrices from an archaeological excavation at a Stone Age site in northern Scandinavia. NIR hyperspectral image analysis has been performed, as a fast and non-destructive techniqu...

A large set of maize silage samples was produced to assess the major traits influencing the biomethane production of this crop. The biomass yield, the volatile solids contents and the biochemical methane potential (BMP) were measured to calculate the biomethane yield per hectare (average=7266m(3)ha(-1)). The most influential factor controlling the...

Genetic selection of low CH4 emitting animals is additive and permanent, unlike nutritional and other management strategies which may require continual investment. However, difficulties associated with individual CH4 measurement result in a paucity of records to estimate the phenotypic and genetic variability of CH4 traits. Direct quantification of...

The livestock sector is considered the largest producer of methane (CH4) from anthropogenic sources, world wide contributing 37% of emissions (FAO, 2006). An important step to study and develop mitigation methods for livestock emissions is to be able to measure them on a large scale. However, it is difficult to obtain a large number of individual C...

This study investigated the detection of contamination of animal feed by melamine and its derivatives by rapid analytical methods. The main goal was to propose an effective tool to detect contaminantion by using multivariate calibration equations built on a large database of non-contaminated feed ingredients. Soybean meal, maize gluten and wheat gl...

Detection and quantification of materials incorporated in the soil, such as organic matter, crop residues, fragmented bones and ceramics becomes a priority in both agriculture and archaeology as they contain a large quantity of information that could prove to be valuable. In the case of agriculture, the monitoring of these materials will lead to su...

Management of livestock grazing in highly-productive mountain meadows is an important aspect for the economic viability and the environmental impact of a grassland-based farm. The main aim of this study was to build near infrared models to determine the chemical composition and in vitro organic matter digestibility of Romanian meadow forages. The t...

In recent years, near-infrared (NIR) hyperspectral imaging has proved its suitability for quality and safety control in the cereal sector by allowing spectroscopic images to be collected at single-kernel level, which is of great interest to cereal control laboratories. Contaminants in cereals include, inter alia, impurities such as straw, grains fr...

In this review, various applications of Near Infrared Hyperspectral Imaging (NIR-HSI) in agriculture and in the quality control of agro-food products are presented. NIR-HSI is an emerging technique that combines classical NIR spectroscopy and imaging techniques in order to simultaneously obtain spectral and spatial information from a field or a sam...

The near-infrared microscope (NIRM) is an instrument that has demonstrated its great ability to detect contaminants not by analyzing a single spectrum but rather by analyzing hundreds or thousands of spectra from individual particles, while at the same time being a non-destructive and easy-to-use technique. It has been used for the detection of mea...

Avancées dans le développement d'une équation permettant de prédire les émissions de méthane des vaches laitières grâce aux spectres moyens infrarouges du lait Progress in the development of an equation for predicting methane emission from dairy cows using milk mid-infrared spectra