NIRS Getting started. US Dairy Forage Research Center 2004 Consortium Annual Meeting

Similar documents
NIRS WHITE PAPER. History and utility. Overview. NIRS Forage and Feed Testing Consortium. for forage and feed testing

Putting Near-Infrared Spectroscopy (NIR) in the spotlight. 13. May 2006

Analysis of Cocoa Butter Using the SpectraStar 2400 NIR Spectrometer

Near Infrared reflectance spectroscopy (NIRS) Dr A T Adesogan Department of Animal Sciences University of Florida

C101-E107B UV Shimadzu UV-VIS-NIR Spectrophotometer

APPLICATION OF NEAR INFRARED REFLECTANCE SPECTROSCOPY (NIRS) FOR MACRONUTRIENTS ANALYSIS IN ALFALFA. (Medicago sativa L.) A. Morón and D. Cozzolino.

2.01 INFRARED ANALYZER

Ultraviolet-Visible and Infrared Spectrophotometry

Milk Analysis with the TIDAS P Milk Inspector

Industrial In-line and Multi Component Monitor Using Absorption Spectroscopy and Its Application

Ultraviolet-Visible and Infrared Spectrophotometry

Evaluation of commercially available near-infrared reflectance spectroscopy prediction models for nutrient prediction of DDGS

Spectroscopy tools for PAT applications in the Pharmaceutical Industry

Because light behaves like a wave, we can describe it in one of two ways by its wavelength or by its frequency.

Water in Food 3 rd International Workshop. Water Analysis of Food Products with at-line and on-line FT-NIR Spectroscopy. Dr.

Infrared Spectroscopy

CEE 772: Instrumental Methods in Environmental Analysis

Molecular Spectroscopy In The Study of Wood & Biomass

Ch 7 Quantum Theory of the Atom (light and atomic structure)

Spectroscopy. Fourier Transform Infrared (FT-IR) Spectroscopy

INFRARED SPECTROSCOPY

Taking Fingerprints of Stars, Galaxies, and Other Stuff. The Bohr Atom. The Bohr Atom Model of Hydrogen atom. Bohr Atom. Bohr Atom

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY

Spectroscopic techniques: why, when, where,and how Dr. Roberto GIANGIACOMO

Chemistry 524--Final Exam--Keiderling Dec. 12, pm SES

Taking fingerprints of stars, galaxies, and interstellar gas clouds

Quantifying Surface Lipid Content of Milled Rice via Visible/Near-Infrared Spectroscopy 1

Feedstuff NIR analysis in. farm to growth herd. ICAR 2011 Bourg en Bresse, June, 23 rd Rev A3.1 Page 1

Design and Development of a Smartphone Based Visible Spectrophotometer for Analytical Applications

Reference literature. (See: CHEM 2470 notes, Module 8 Textbook 6th ed., Chapters )

Multivariate calibration

Chapter 13 An Introduction to Ultraviolet/Visible Molecular Absorption Spectrometry

Infrared Spectroscopy: Identification of Unknown Substances

USE OF NIR SPECTROSCOPY FOR ON-SITE BETAINE MEASUREMENT IN THE ACS HILLSBORO MOLASSES DESUGARIZATION PLANT

Infra Red Spectroscopy

Application of IR Raman Spectroscopy

Online NIR-Spectroscopy for the Live Monitoring of Hydrocarbon Index (HI) in Contaminated Soil Material

Introduction. Molecules, Light and Natural Dyes. Experiment

Taking fingerprints of stars, galaxies, and interstellar gas clouds. Absorption and emission from atoms, ions, and molecules

Spectroscopy. Page 1 of 8 L.Pillay (2012)

Review: Properties of a wave

Skoog Chapter 6 Introduction to Spectrometric Methods

NIRS Programs That Give Accurate Data for Selections, Science and Marketing

Reflectance Spectrometer for Prediction of Forage Quality

Absorption spectrometry summary

PAPER No. 12: ORGANIC SPECTROSCOPY MODULE No. 7: Instrumentation for IR spectroscopy

Biological and Agricultural Engineering Department UC Davis One Shields Ave. Davis, CA (530)

Application of Near Infrared Spectroscopy to Predict Crude Protein in Shrimp Feed

C101-E145 TALK LETTER. Vol. 17

Chapter 12 Mass Spectrometry and Infrared Spectroscopy

NIRS IN ANIMAL SCIENCES

7a. Structure Elucidation: IR and 13 C-NMR Spectroscopies (text , , 12.10)

The Main Point. How do light and matter interact? Lecture #7: Radiation and Spectra II. How is light absorbed and emitted?

Chemistry 524--Final Exam--Keiderling May 4, :30 -?? pm SES

Chem 310 rd. 3 Homework Set Answers

Structure Determination. How to determine what compound that you have? One way to determine compound is to get an elemental analysis

Chapter 17: Fundamentals of Spectrophotometry

What happens when light falls on a material? Transmission Reflection Absorption Luminescence. Elastic Scattering Inelastic Scattering

Note 133. Measurement of Chemical Lean in Beef, Pork and Lamb

Questions on Instrumental Methods of Analysis

Near-infrared spectroscopy: Comparison of techniques

EXPERIMENTAL DETERMINATION OF SPECTRAL AND ANGULAR DEPENDENT OPTICAL PROPERTIES OF INSULATING GLASSES

Chapter 17: Fundamentals of Spectrophotometry

BASICS OF CHEMOMETRICS

Presentation of a new system to monitor and stabilize mid infrared spectral data

Elimination of variability sources in NIR spectra for the determination of fat content in olive fruits

Content. Introduction Definition Principle Aim of the work Summary over the next chapters

Quick Review. 1. Kinetic Molecular Theory. 2. Average kinetic energy and average velocity. 3. Graham s Law of Effusion. 4. Real Gas Behavior.

Chapter 5 Light and Matter: Reading Messages from the Cosmos. What is light? Properties of Waves. Waves. The Electromagnetic Spectrum

Prediction of Fermentation Parameters in Grass and Corn Silage by Near Infrared Spectroscopy

Infrared spectroscopy

i-fast validatietraject MOBISPEC

Frequency: the number of complete waves that pass a point in a given time. It has the symbol f. 1) SI Units: Hertz (Hz) Wavelength: The length from

Application of near-infrared (NIR) spectroscopy to sensor based sorting of an epithermal Au-Ag ore

Smart Sensing Embedded Spectroscopy Platform Botlek studiegroep 06-april-2017

Unit 5 Lesson 1 Images from Space. Copyright Houghton Mifflin Harcourt Publishing Company

Design and experiment of NIR wheat quality quick. detection system

Fourier Transform Infrared. Spectrometry

Cork Institute of Technology. Summer 2005 Instrumental Analysis (Time: 3 Hours) Section A

Lab #12: Determination of a Chemical Equilibrium Constant

Monitoring Granulation Drying Using Near-Infrared Spectroscopy

PH104 Lab 1 Light and Matter Pre-lab

Physics 30: Chapter 5 Exam Wave Nature of Light

MULTICHANNEL NADIR SPECTROMETER FOR THEMATICALLY ORIENTED REMOTE SENSING INVESTIGATIONS

College of Life Science and Pharmacy, Nanjing University of Technology, Nanjing, China

Fourier Transform IR Spectroscopy

Introduction. The analysis of the outcome of a reaction requires that we know the full structure of the products as well as the reactants

HARP Assessment of Uncertainty

Revision checklist SP4 5. SP4 Waves. SP4a Describing waves. SP4b Wave speeds. SP4c Refraction

Infrared Spectroscopy

The Electromagnetic Spectrum

Chapter 4 Ultraviolet and visible spectroscopy Molecular Spectrophotometry

EXPERIMENT 6 INTRODUCTION TO SPECTROSCOPY

Infrared Spectroscopy

Emission Spectroscopy

Research Article Near-Infrared Spectroscopy for Anticounterfeiting Innovative Fibers

Infrared Spectroscopy

Learning Guide for Chapter 3 - Infrared Spectroscopy

Newton s Laws of Motion

Characterization and Calibration of a Fourier Transform Spectroradiometer for Solar UV Irradiance Measurements

Transcription:

NIRS Getting started US Dairy Forage Research Center 2004 Consortium Annual Meeting

Terminology NIR = Near Infrared or NIR = Near Infrared Reflectance NIT = Near Infrared Transmittance

History 1800 The First NIR Spectrum recorded (Herschel) 1950-1960 Potential of NIR quantitative analysis was recognized (Kaye) 1960s Research program at USDA (Norris) for NIR analysis of agricultural commodities 1971 First Generation of NIR Instruments - Reflectance 1975 Second Generation of NIR Instruments - More Stable Electronics and improved Optics 1977-1978 Third Generation of NIR Instruments - Microprocessors, Small Computers 1982-1983 Fourth Generation of NIR Instruments Scanning Monochromators 1980s Principal components calibration techniques introduced 1987 Fifth Generation of NIR Instruments - Transmittance 1990s Nonlinear calibration methods (Local, ANN)

NIR MIR FIR Gamma X-rays UV Visibile Infrared Microwave Radio Region Characteristic wavelenght Range (nm) Near Infrared (NIR) Overtones, Combination 700-2500 Middle Infrared (MIR) Fundamental vibration 2500-5x10 4 Far Infrared (FIR) Rotation 5x10 4-10 6 NIT NIR 700 1100 2500

Trnsmission/Reflectance Source of light Detector Detector Source of light ITEC169A ITEC168A Trasmission (NIT) Reflectance (NIR)

Absorption units I 1.a I 0 I 1.b Reflect_(R Absorption ) = I 1a = 1 + I R 0 I 1b Absorbance _ Units( AU ) = log 1 R R = AU 0.01 = 2

NIR absorption Absorbance is mainly due to Hydrogen bonds -CH -OH -NH

Light - Matter interaction Reflection Absorption Trasmission

Light - Matter interaction Trasmission Absorption Wavelength

Undried Unground Dried Unground Dried Ground

Foss NIRSystem 5000-6500 Lab instrument The most used instrument in agriculture There are several Forage and /or Feed Network based on this instrument

Foss NIRSystem 5000-6500 Grating light Detectors Mirror Sample Moving parts Pre-dispersive PbS detectors Slow scanning (1 sec) Highly accurate 400-1098; 1100-2498nm Every 2nm

Zeiss - Corona NIR 45 NO moving parts Post-dispersive InGaAs detector 128 diodes Fast scanning (10 ms) Very accurate 900-1700nm Every 6nm

Foss NIRSystem 5000-6500 Diagnostics procedures: They are required to make sure all of the parts are working properly Weekly diagnostics Daily check cell Standardization procedures Sealed cups with different products Repeated periodically (once a year)

Zeiss - Corona NIR 45 Diagnostics procedures: There are no diagnostics. No moving parts reduce variation in performances Daily check cell? We think it would be necessary to ensure the instrument is working properly Standardization procedures There are no procedures Solved by calibration

What is a Calibration? Spectra Calibration Model (equation) Reference data

Use of a Calibration Spectrum of an unknown sample Calibration Prediction

Routine Analysis Sample SPECTRUM DRY MATTER AS IS GH T PROTEIN 51.42 46.28 1.25 2.13 FAT 1.96 1.76 1.25 2.13 FIBER 5.4 4.86 1.25 2.13 DM 100.00 90.00 1.25 2.13 MOISTURE 0.0 10.00 0.04 0.09 0.14 0.16 0.26 0.54 0.55.059

What is Calibration? Y1 Y2 Y3 12.8 97.4 43.2 11.5 96.2 45.6 10.7 94.3 48.0 10.5 96.7 45.2 9.7 98.3 47.9 8.4 96.5 44.1 Regression Y=b0+b1x1+ b2x2+ +bnxn 7.5 95.0 46.7 7.2 93.2 41.4 Simple, multiple, multivariate, neural network

Simple and multiple Calibration

Simple and multiple Calibration

Population structure Chemical variation Botanical composition Climatic areas Years of production Cultivars/hybrids Harvesting methods

Population structure: How to built it Our goal is to build an homogenueous distribution of samples which covers the variability of the product In commercial labs it is difficult to know the origin and history of samples analyzed. PCA and scores are the tools to use building a population based on NIR spectra.

Principal components and population structure

Population structure:how to built it Global H number = distance from the population average (center) (maximum value=3.0) Neighborhood H number = distance from the closest sample (value=0.6)

Determination of outliers samples GH outlier NH outlier GH >3.0 NH >0.6

Building a Calibration NH and GH ** Unrealiable predictions

Wha s next in NIRS New hardware New calibration procedures New standardization procedures Undried, unground feeds and forages

Undried unground analysis