Detailed Information

Cited 2 time in webofscience Cited 3 time in scopus
Metadata Downloads

Design of an Integrated Near-Infrared Spectroscopy Module for Sugar Content Estimation of Apples

Full metadata record
DC Field Value Language
dc.contributor.authorByun, Sangjin-
dc.date.accessioned2023-04-27T12:40:39Z-
dc.date.available2023-04-27T12:40:39Z-
dc.date.issued2022-04-
dc.identifier.issn2072-666X-
dc.identifier.issn2072-666X-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/3400-
dc.description.abstractAn integrated near-infrared (NIR) spectroscopy prototype module for sugar content estimation of apples is presented. Since this is the first attempt to design an integrated NIR spectroscopy module, we followed the design process as follows. First, we estimated the sugar content of apples using a tungsten halogen light source and a 700 nm-1000 nm NIR spectrometer with a 10 nm wavelength resolution and a 16b analog-to-digital converter (ADC) resolution. Second, we determined the most effective wavelengths among 31 evenly distributed wavelengths while observing the correlation coefficient, R-2, and then we reduced the ADC resolution 1b by 1b starting from 16b while also observing the R-2. Lastly, we designed an integrated NIR spectroscopy module with the selected eight wavelengths and a 13 ADC resolution. The module implemented in a 0.18 mu m 1P6M CMOS process occupies a die area of 0.84 mm(2). By utilizing this module with eight off-chip light emitting diodes (LED) and one photo diode (PD), the measured R-2 and the standard error of calibration (SEC) were 0.365 and 0.686 brix, respectively.-
dc.format.extent14-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleDesign of an Integrated Near-Infrared Spectroscopy Module for Sugar Content Estimation of Apples-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/mi13040519-
dc.identifier.scopusid2-s2.0-85127911287-
dc.identifier.wosid000787468600001-
dc.identifier.bibliographicCitationMicromachines, v.13, no.4, pp 1 - 14-
dc.citation.titleMicromachines-
dc.citation.volume13-
dc.citation.number4-
dc.citation.startPage1-
dc.citation.endPage14-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryChemistry, Analytical-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.subject.keywordPlusQUALITY-
dc.subject.keywordPlusFRUIT-
dc.subject.keywordAuthorNIR spectroscopy-
dc.subject.keywordAuthorsugar content estimation-
dc.subject.keywordAuthorCMOS integrated circuits-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Electronics and Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Byun, Sangjin photo

Byun, Sangjin
College of Engineering (Department of Electronics and Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE