A guide to near-infrared spectroscopy / edited by Juan Francisco García.

Format:

Book

Contributor:

García, Juan Francisco, editor.

Series:

Analytical Chemistry and Microchemistry Series

Language:

English

Subjects (All):

Near infrared spectroscopy.

Physical Description:

1 online resource (236 pages)

Edition:

1st ed.

Place of Publication:

New York : Nova Science Publishers, Inc., [2023]

Summary:

"The principles, theory, instrumentation and data analysis of the near-infrared spectroscopy and the hyperspectral imaging equipment are described in this book, including the basics of chemometrics for the treatment of large spectral dataset. In addition, a comprehensive discussion on the current applications and future prospects of near-infrared spectroscopy to food quality and the determination of energy properties of biomass is provided"-- Provided by publisher.

Contents:

Intro

Contents

Preface

Chapter 1

Principles, Theories and Applications of Near-Infrared Spectroscopy for Food Quality and Safety Control

Abstract

Introduction

Theory

Instrumentation

Laboratory Stationary (i.e., Benchtop) NIR Spectrometer

Handheld and Micro NIR Spectrometers

Online NIR Spectrometer

Sample Presentation

Chemometrics

Spectral Data Pre-Processing

Classification Modelling

Principal Component Analysis (PCA)

Discriminant Analysis (DA)

Regression Modelling

Partial Least Square Regression (PLS)

Machine Learning Regression

Applications

Meat, Fish, and Fishery Products

Edible Oils, Milk and Dairy Products

Grains and Grain Products

Fruit and Vegetables

Future Directions

Conclusion

References

Chapter 2

The Current and Potential Roles of Near-Infrared Spectroscopy in the Digital Food Era

Current Applications of NIR Spectroscopy

Future and Potential Applications of NIR Spectrosopy in Food

Food Functionality

Food Security and Safety

Chapter 3

The Determination of Olive Oil's Moisture by a Hand-Held Near-Infrared Spectrometer

Abbreviations

Olive Oil

Olive Cultivation

Economy and Market of Olive Oil

Relevance of Olive Oil

Physico-Chemical Parameters of Olive Oil

Moisture in Olive Oil

NIR Spectroscopy (NIRS)

NIRS Application to the Olive Oil Industry

Stages of the Modeling Process

Data Pre-Treatment

Building of the Chemometric Model

Evaluation of the Calibration Model by the Validation Set

Parameters to Assess PLS-NIRS Results

Experimental Procedure

Olive Oils

Acquisition of NIR Spectra

Determination of the Moisture of VOO

Calculation of Standard Error of Laboratory (SEL)

Calibration Procedure.

Results and Discussion

Moisture and Volatile Matter

NIR Spectra of VOOs

PLS Calibration Models

Development of the PLSLC Calibration Model

Development of the PLSCV Calibration Model

Prediction of Moisture in the Validation Set of Samples

Main Components and Principal of Hyperspectral and Multispectral System

MSI Image Collection Using Multispectral Camera with Visible, Near Infrared and Thermal Waves

Spectral Image Analysis

Hyperspectral Image Acquisition and Principles

Multispectral Image Acquisition and Basic Principles

Radiometric Calibration

Image Processing and Extraction of Area of Interest

Predictive Modeling

Spectral Preprocessing

Variable Dimensionally Reduction and Featured Wavelength Selection

Application of HSI in Fruits and Vegetables

Application of MSI in Fruits and Vegetables

Chapter 5

The Prediction of Respiratory and Degradation Rates of Horticultural Crops by Near-Infrared Spectroscopy and Hyperspectral Imaging

Preservation Methods for Freshness of Horticultural Products

Relationship between Respiratory Enzymes and Degradation of Freshness

Measurement of the Respiratory Rate of Horticultural Crops

Relationship between Respiratory Enzymes and Light Absorption

Estimation of O2 Uptake Rate of Tomato Fruits by NIRS

Prediction of Degradation of Horticultural Crops by Hyperspectral Imaging

Acknowledgments

NIR Spectroscopy System

Light Source

NIR Spectrometers

NIR Dispersive Spectrometer

NIR Fourier Transform Spectrometer, FT-NIR Spectrometer

NIR Linear Variable Filter (LVF) Spectrometer

NIR Diode Array Spectrometer

NIR Micro-Electro Mechanical (MEM) Spectrometer

Detector.

NIR Si Photodetector

NIR Hyperspectral Image System

Near-Infrared Hyperspectral Image Principle

Components of the NIR Hyperspectral Image and Multispectral Systems

Tungsten Halogen Lamp

Xenon Lamp

Laser-Driven Light Source (LDLSTM)

Light Emitting Diode (LED) of Specific Band

Digital Camera or Area Detector

Image Spectrograph

Diffraction Gratings

The Prism-Grating-Prism Imaging Spectrograph

The Offner Spectrograph

The Czerny-Turner Spectrograph

Electronically Tunable Filter

Acousto-Optic Tunable Filter

Liquid Crystal Tunable Filter

Beam Splitter

Multivariate Analysis

Applications of NIR Spectroscopy, Hyperspectral, Multispectral Imaging in Energy Properties of Biomass

NIR Spectroscopy for Measurement of Energy Properties of Biomass

Rapid Elemental Composition Measurement of Commercial Pellets Using Line-Scan Hyperspectral Imaging Analysis

Machine Learning: Based Prediction of Selected Parameters of Commercial Biomass Pellets Using Line Scan Near-Infrared-Hyperspectral Imaging

A Low-Cost System for Moisture Content Detection of Bagasse Upon a Conveyor Belt with Multispectral Imaging and Various Machine Learning Methods

Chapter 7

The Determination of D-Xylose and Xylitol by Near-Infrared Spectroscopy Over the Fermentation of Olive Stone Hydrolysates

Application of NIRS to Fermentation Monitoring

Materials and Methods

Fermentation Samples

Reference Data

Spectra Acquisition

Calibration Procedure

Results and Discussion

Spectrum of the Fermentation Culture Medium

Prediction of D-Xylose by PLS-NIRS

Prediction of Xylitol by PLS-NIRS

Index

Editor's Contact Information

Chapter 4.

Near-Infrared Hyperspectral and Multispectral Imaging Principles and Applications in the Quality of Fruits and Vegetables

Chapter 6

Near-Infrared Spectroscopy, Hyperspectral, Multispectral Imaging Principles and Applications in Energy Properties of Biomass

Blank Page.

Notes:

Description based on print version record.

Includes bibliographical references and index.

Other Format:

Print version: García, Juan Francisco A Guide to near-Infrared Spectroscopy

ISBN:

979-88-86979-68-8