Integration of independent component analysis with near infrared spectroscopy for rapid quantification of sugar content in wax jambu (Syzygium samarangense Merrill & Perry)

Yung Kun Chuang, Suming Chen, Y. Martin Lo, Chao Yin Tsai, I. Chang Yang, Yu Liang Chen, Pei Ju Pan, Chien Chih Chen

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Independent component analysis (ICA) was integrated with near infrared (NIR) spectroscopy for rapid quantification of sugar content in wax jambu (Syzygium samarangense Merrill & Perry). The JADE algorithm (Joint Approximate Diagonalization of Eigenmatrices) and linear regression with spectral pretreatments were incorporated to analyze the NIR spectra of wax jambu against sucrose solutions. Unlike other multivariate approaches, ICA enabled comprehensive quantification of sugar content in wax jambu. In the present study, ICA was applied as the sole tool to build the NIR calibration model of internal quality of intact wax jambu without any other multivariate analysis methods. The best spectral calibration model of wax jambu (600 to 700 nm and 900 to 1,098 nm) yielded rc = 0.988, SEC = 0.243°Brix, rv = 0.971, SEV = 0.381°Brix, and RPD = 4.15 using the normalized first derivative spectra and 9 independent components (ICs). All ICA results were better than those of partial least squares regression (PLSR). Thus, ICA can quickly identify and effectively quantify the sugar contents in wax jambu with calibration models achieving high predictability.

Original languageEnglish
JournalJournal of Food and Drug Analysis
Volume20
Issue number4
DOIs
Publication statusPublished - Dec 2012
Externally publishedYes

Fingerprint

Syzygium
Near-Infrared Spectroscopy
Waxes
near-infrared spectroscopy
waxes
sugar content
Calibration
calibration
Least-Squares Analysis
multivariate analysis
Sucrose
Syzygium samarangense
least squares
Linear Models
Multivariate Analysis
pretreatment
Joints
chemical derivatives
sucrose

Keywords

  • Calibration model
  • Independent component analysis (ICA)
  • Near infrared (NIR) spectroscopy
  • Sugar content
  • Wax jambu

ASJC Scopus subject areas

  • Food Science
  • Pharmacology

Cite this

Integration of independent component analysis with near infrared spectroscopy for rapid quantification of sugar content in wax jambu (Syzygium samarangense Merrill & Perry). / Chuang, Yung Kun; Chen, Suming; Lo, Y. Martin; Tsai, Chao Yin; Yang, I. Chang; Chen, Yu Liang; Pan, Pei Ju; Chen, Chien Chih.

In: Journal of Food and Drug Analysis, Vol. 20, No. 4, 12.2012.

Research output: Contribution to journalArticle

Chuang, Yung Kun ; Chen, Suming ; Lo, Y. Martin ; Tsai, Chao Yin ; Yang, I. Chang ; Chen, Yu Liang ; Pan, Pei Ju ; Chen, Chien Chih. / Integration of independent component analysis with near infrared spectroscopy for rapid quantification of sugar content in wax jambu (Syzygium samarangense Merrill & Perry). In: Journal of Food and Drug Analysis. 2012 ; Vol. 20, No. 4.
@article{2adb0ed9642b4d5e8059219f500c7427,
title = "Integration of independent component analysis with near infrared spectroscopy for rapid quantification of sugar content in wax jambu (Syzygium samarangense Merrill & Perry)",
abstract = "Independent component analysis (ICA) was integrated with near infrared (NIR) spectroscopy for rapid quantification of sugar content in wax jambu (Syzygium samarangense Merrill & Perry). The JADE algorithm (Joint Approximate Diagonalization of Eigenmatrices) and linear regression with spectral pretreatments were incorporated to analyze the NIR spectra of wax jambu against sucrose solutions. Unlike other multivariate approaches, ICA enabled comprehensive quantification of sugar content in wax jambu. In the present study, ICA was applied as the sole tool to build the NIR calibration model of internal quality of intact wax jambu without any other multivariate analysis methods. The best spectral calibration model of wax jambu (600 to 700 nm and 900 to 1,098 nm) yielded rc = 0.988, SEC = 0.243°Brix, rv = 0.971, SEV = 0.381°Brix, and RPD = 4.15 using the normalized first derivative spectra and 9 independent components (ICs). All ICA results were better than those of partial least squares regression (PLSR). Thus, ICA can quickly identify and effectively quantify the sugar contents in wax jambu with calibration models achieving high predictability.",
keywords = "Calibration model, Independent component analysis (ICA), Near infrared (NIR) spectroscopy, Sugar content, Wax jambu",
author = "Chuang, {Yung Kun} and Suming Chen and Lo, {Y. Martin} and Tsai, {Chao Yin} and Yang, {I. Chang} and Chen, {Yu Liang} and Pan, {Pei Ju} and Chen, {Chien Chih}",
year = "2012",
month = "12",
doi = "10.6227/jfda.2012200415",
language = "English",
volume = "20",
journal = "Journal of Food and Drug Analysis",
issn = "1021-9498",
publisher = "Elsevier Taiwan LLC",
number = "4",

}

TY - JOUR

T1 - Integration of independent component analysis with near infrared spectroscopy for rapid quantification of sugar content in wax jambu (Syzygium samarangense Merrill & Perry)

AU - Chuang, Yung Kun

AU - Chen, Suming

AU - Lo, Y. Martin

AU - Tsai, Chao Yin

AU - Yang, I. Chang

AU - Chen, Yu Liang

AU - Pan, Pei Ju

AU - Chen, Chien Chih

PY - 2012/12

Y1 - 2012/12

N2 - Independent component analysis (ICA) was integrated with near infrared (NIR) spectroscopy for rapid quantification of sugar content in wax jambu (Syzygium samarangense Merrill & Perry). The JADE algorithm (Joint Approximate Diagonalization of Eigenmatrices) and linear regression with spectral pretreatments were incorporated to analyze the NIR spectra of wax jambu against sucrose solutions. Unlike other multivariate approaches, ICA enabled comprehensive quantification of sugar content in wax jambu. In the present study, ICA was applied as the sole tool to build the NIR calibration model of internal quality of intact wax jambu without any other multivariate analysis methods. The best spectral calibration model of wax jambu (600 to 700 nm and 900 to 1,098 nm) yielded rc = 0.988, SEC = 0.243°Brix, rv = 0.971, SEV = 0.381°Brix, and RPD = 4.15 using the normalized first derivative spectra and 9 independent components (ICs). All ICA results were better than those of partial least squares regression (PLSR). Thus, ICA can quickly identify and effectively quantify the sugar contents in wax jambu with calibration models achieving high predictability.

AB - Independent component analysis (ICA) was integrated with near infrared (NIR) spectroscopy for rapid quantification of sugar content in wax jambu (Syzygium samarangense Merrill & Perry). The JADE algorithm (Joint Approximate Diagonalization of Eigenmatrices) and linear regression with spectral pretreatments were incorporated to analyze the NIR spectra of wax jambu against sucrose solutions. Unlike other multivariate approaches, ICA enabled comprehensive quantification of sugar content in wax jambu. In the present study, ICA was applied as the sole tool to build the NIR calibration model of internal quality of intact wax jambu without any other multivariate analysis methods. The best spectral calibration model of wax jambu (600 to 700 nm and 900 to 1,098 nm) yielded rc = 0.988, SEC = 0.243°Brix, rv = 0.971, SEV = 0.381°Brix, and RPD = 4.15 using the normalized first derivative spectra and 9 independent components (ICs). All ICA results were better than those of partial least squares regression (PLSR). Thus, ICA can quickly identify and effectively quantify the sugar contents in wax jambu with calibration models achieving high predictability.

KW - Calibration model

KW - Independent component analysis (ICA)

KW - Near infrared (NIR) spectroscopy

KW - Sugar content

KW - Wax jambu

UR - http://www.scopus.com/inward/record.url?scp=84875141243&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84875141243&partnerID=8YFLogxK

U2 - 10.6227/jfda.2012200415

DO - 10.6227/jfda.2012200415

M3 - Article

AN - SCOPUS:84875141243

VL - 20

JO - Journal of Food and Drug Analysis

JF - Journal of Food and Drug Analysis

SN - 1021-9498

IS - 4

ER -