Method of physical and enzymatic concentration of extraneous materials in wheat flour to enable near infrared chemical imaging

Master of Science === Food Science Institute === David L. Wetzel === Grain processing and handling requires quality determinations to ensure wholesome products that meet or surpass legal standards and specifications required by the end consumer. Near infrared spectroscopy has proven to be a useful a...

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Main Author: Nickoley, Tyler R.
Language:en_US
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/2097/38803
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spelling ndltd-KSU-oai-krex.k-state.edu-2097-388032018-07-11T16:16:18Z Method of physical and enzymatic concentration of extraneous materials in wheat flour to enable near infrared chemical imaging Nickoley, Tyler R. Near infrared imaging Chemical imaging Insect contamination Master of Science Food Science Institute David L. Wetzel Grain processing and handling requires quality determinations to ensure wholesome products that meet or surpass legal standards and specifications required by the end consumer. Near infrared spectroscopy has proven to be a useful and versatile tool to enable grain processers to make adjustments as needed. Near infrared chemical imaging also provides spatial information within the image and relative composition of chemically distinct components within the product. The potential use of chemical imaging to determine extraneous material in bread baking quality flour was addressed. A specimen preparation technique was developed. Insect fragment spiked specimens were imaged to determine their imaging effectiveness for application near the allowable limit of insect fragment concentration. Imaging was achieved using indium antimonide array detection of diffusely reflected radiation. The detector array of 81,920 pixels collected radiation from an area of 30.72 mm by 38.4 mm with a pixel size of 120 µm². Spectra were collected simultaneously from each pixel without moving parts by scanning with a liquid crystal tunable filter. Partial least squares analysis of each pixel within the sample allowed a summation of the insect quantity. The chemical structural distinction of chitin in the high protein matrix of the insect residue was in contrast to the non-digested carbohydrate residue in the lesser protein matrix of the flour. The method developed provided a linear response for a concentration range from approximately half the allowable limit to twice the limit for two insects that commonly contaminate flour. For the two insects studied the slopes are comparable with a slight off-set over a practical working range, so that insect concentration can be determined independently of species recognition. 2018-04-18T18:45:21Z 2018-04-18T18:45:21Z 2018 May Thesis http://hdl.handle.net/2097/38803 en_US
collection NDLTD
language en_US
sources NDLTD
topic Near infrared imaging
Chemical imaging
Insect contamination
spellingShingle Near infrared imaging
Chemical imaging
Insect contamination
Nickoley, Tyler R.
Method of physical and enzymatic concentration of extraneous materials in wheat flour to enable near infrared chemical imaging
description Master of Science === Food Science Institute === David L. Wetzel === Grain processing and handling requires quality determinations to ensure wholesome products that meet or surpass legal standards and specifications required by the end consumer. Near infrared spectroscopy has proven to be a useful and versatile tool to enable grain processers to make adjustments as needed. Near infrared chemical imaging also provides spatial information within the image and relative composition of chemically distinct components within the product. The potential use of chemical imaging to determine extraneous material in bread baking quality flour was addressed. A specimen preparation technique was developed. Insect fragment spiked specimens were imaged to determine their imaging effectiveness for application near the allowable limit of insect fragment concentration. Imaging was achieved using indium antimonide array detection of diffusely reflected radiation. The detector array of 81,920 pixels collected radiation from an area of 30.72 mm by 38.4 mm with a pixel size of 120 µm². Spectra were collected simultaneously from each pixel without moving parts by scanning with a liquid crystal tunable filter. Partial least squares analysis of each pixel within the sample allowed a summation of the insect quantity. The chemical structural distinction of chitin in the high protein matrix of the insect residue was in contrast to the non-digested carbohydrate residue in the lesser protein matrix of the flour. The method developed provided a linear response for a concentration range from approximately half the allowable limit to twice the limit for two insects that commonly contaminate flour. For the two insects studied the slopes are comparable with a slight off-set over a practical working range, so that insect concentration can be determined independently of species recognition.
author Nickoley, Tyler R.
author_facet Nickoley, Tyler R.
author_sort Nickoley, Tyler R.
title Method of physical and enzymatic concentration of extraneous materials in wheat flour to enable near infrared chemical imaging
title_short Method of physical and enzymatic concentration of extraneous materials in wheat flour to enable near infrared chemical imaging
title_full Method of physical and enzymatic concentration of extraneous materials in wheat flour to enable near infrared chemical imaging
title_fullStr Method of physical and enzymatic concentration of extraneous materials in wheat flour to enable near infrared chemical imaging
title_full_unstemmed Method of physical and enzymatic concentration of extraneous materials in wheat flour to enable near infrared chemical imaging
title_sort method of physical and enzymatic concentration of extraneous materials in wheat flour to enable near infrared chemical imaging
publishDate 2018
url http://hdl.handle.net/2097/38803
work_keys_str_mv AT nickoleytylerr methodofphysicalandenzymaticconcentrationofextraneousmaterialsinwheatflourtoenablenearinfraredchemicalimaging
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