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Related Concept Videos

Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

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The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...
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Spectrophotometry is the quantitative measurement of the absorption, reflection, diffraction, or transmission of electromagnetic radiation through a material as a function of the intensity and wavelength of the radiation. A spectrophotometer is a device used to measure the change in the radiation intensity caused by its interaction with the material.
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UV–Vis Spectrometers

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The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell.
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Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

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Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used....
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IR Spectrometers01:25

IR Spectrometers

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There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
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Atomic Absorption Spectroscopy: Instrumentation01:22

Atomic Absorption Spectroscopy: Instrumentation

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An atomic absorption spectrophotometer (AAS) comprises several components: a radiation source, an atomizer, a monochromator, and a detector. The radiation source can be a hollow-cathode lamp (HCL) or an electrodeless-discharge lamp (EDL), both of which provide a narrow emission line of the required wavelength. However, some instruments use continuum sources and high-resolution monochromators to achieve a narrow range of radiation.
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SmartSpectrometer-Embedded Optical Spectroscopy for Applications in Agriculture and Industry.

Julius Krause1, Heinrich Grüger2, Lucie Gebauer3

  • 1Fraunhofer IOSB, Karlsruhe, Institute of Optronics, System Technologies and Image Exploitation, 76131 Karlsruhe, Germany.

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|July 2, 2021
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Summary
This summary is machine-generated.

Optical spectroscopy, enhanced by artificial intelligence (AI), enables real-time quality assessment in agriculture. The SmartSpectrometer integrates AI for instant substance analysis, optimizing resource use and improving crop management.

Keywords:
industrial internet of thingsmachine learningminiaturized optical spectrometernear-infrared spectroscopysmart viticulture

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Area of Science:

  • Agricultural technology
  • Spectroscopy
  • Artificial Intelligence

Background:

  • Digitalization in industry and agriculture offers significant potential for process optimization.
  • Optical spectroscopy is a key technology for real-time estimation of substance concentrations and compositions.
  • Integrating spectral data into process control requires advanced data analysis techniques.

Purpose of the Study:

  • To present a novel spectrometer with integrated artificial intelligence (AI), termed SmartSpectrometer.
  • To demonstrate the practical application of the SmartSpectrometer for in-field quality assessment.
  • To highlight the benefits of real-time spectral analysis in agricultural processes.

Main Methods:

  • Development of a SmartSpectrometer with integrated AI capabilities.
  • Design of an interface for seamless data integration into process and automation units.
  • Field deployment of the SmartSpectrometer on a harvesting vehicle for grape quality analysis.

Main Results:

  • The SmartSpectrometer enables real-time prediction of sugar and acid content in grapes directly in the field.
  • Integration into a harvesting vehicle demonstrated resource savings and cost efficiencies.
  • The system proves the viability of AI-powered optical spectroscopy for agricultural applications.

Conclusions:

  • The SmartSpectrometer facilitates efficient, real-time quality control in agriculture.
  • AI-driven optical spectroscopy offers a powerful tool for precision agriculture and resource management.
  • The technology has the potential to significantly advance the digitization of agricultural practices.