Feasibility of rapid piperine quantification in whole and black pepper using near infrared spectroscopy and chemometrics

Piperine is a bioactive alkaloid that possesses various health benefits and is responsible for the pungent aroma of pepper. Piperine content in whole and ground black pepper (n = 132) was analyzed by near‐infrared spectroscopy (NIRS) in the 950 to 1650 nm wavelength window. Chemometric modeling usin...

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Veröffentlicht in:Journal of food science 2020-10, Vol.85 (10), p.3094-3101
Hauptverfasser: Park, Jong‐Rak, Kang, Hyun‐Hee, Cho, Jong‐Ku, Moon, Kwang‐Deog, Kim, Young‐Jun
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container_issue 10
container_start_page 3094
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creator Park, Jong‐Rak
Kang, Hyun‐Hee
Cho, Jong‐Ku
Moon, Kwang‐Deog
Kim, Young‐Jun
description Piperine is a bioactive alkaloid that possesses various health benefits and is responsible for the pungent aroma of pepper. Piperine content in whole and ground black pepper (n = 132) was analyzed by near‐infrared spectroscopy (NIRS) in the 950 to 1650 nm wavelength window. Chemometric modeling using partial least square regression was performed, and outliers were checked and removed during the preparation of the calibration curve by considering sample residual variance and sample leverage. Model accuracy was evaluated with a low root‐mean‐square error of cross‐validation (RMSECV) and a high ratio performance to deviation (RPD). The optimal model had a coefficient of determination (R2) of 0.726, RMSECV of 0.289 g/100 g, and RPD of 1.744 for the whole black pepper. The results of R2, RMSECV, and RPD for the ground black pepper were 0.850, 0.231 g/100 g, and 2.424, respectively. Therefore, based on the perspective of onsite process, the proposed NIRS method can be employed for selecting abnormal samples during the inspection of black pepper raw material and for quantifying piperine contents of final black pepper product. Practical Application Generally, the quality indicators of black pepper are graded solely based on their external appearance, quality, and size. This study discloses the development of a near‐infrared spectroscopy‐based fast and accurate nondestructive analytical method for the detection of piperine, a bioactive constituent of pepper, as a tool for the quality control of whole and ground black pepper.
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Piperine content in whole and ground black pepper (n = 132) was analyzed by near‐infrared spectroscopy (NIRS) in the 950 to 1650 nm wavelength window. Chemometric modeling using partial least square regression was performed, and outliers were checked and removed during the preparation of the calibration curve by considering sample residual variance and sample leverage. Model accuracy was evaluated with a low root‐mean‐square error of cross‐validation (RMSECV) and a high ratio performance to deviation (RPD). The optimal model had a coefficient of determination (R2) of 0.726, RMSECV of 0.289 g/100 g, and RPD of 1.744 for the whole black pepper. The results of R2, RMSECV, and RPD for the ground black pepper were 0.850, 0.231 g/100 g, and 2.424, respectively. Therefore, based on the perspective of onsite process, the proposed NIRS method can be employed for selecting abnormal samples during the inspection of black pepper raw material and for quantifying piperine contents of final black pepper product. Practical Application Generally, the quality indicators of black pepper are graded solely based on their external appearance, quality, and size. 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Therefore, based on the perspective of onsite process, the proposed NIRS method can be employed for selecting abnormal samples during the inspection of black pepper raw material and for quantifying piperine contents of final black pepper product. Practical Application Generally, the quality indicators of black pepper are graded solely based on their external appearance, quality, and size. 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Piperine content in whole and ground black pepper (n = 132) was analyzed by near‐infrared spectroscopy (NIRS) in the 950 to 1650 nm wavelength window. Chemometric modeling using partial least square regression was performed, and outliers were checked and removed during the preparation of the calibration curve by considering sample residual variance and sample leverage. Model accuracy was evaluated with a low root‐mean‐square error of cross‐validation (RMSECV) and a high ratio performance to deviation (RPD). The optimal model had a coefficient of determination (R2) of 0.726, RMSECV of 0.289 g/100 g, and RPD of 1.744 for the whole black pepper. The results of R2, RMSECV, and RPD for the ground black pepper were 0.850, 0.231 g/100 g, and 2.424, respectively. Therefore, based on the perspective of onsite process, the proposed NIRS method can be employed for selecting abnormal samples during the inspection of black pepper raw material and for quantifying piperine contents of final black pepper product. Practical Application Generally, the quality indicators of black pepper are graded solely based on their external appearance, quality, and size. This study discloses the development of a near‐infrared spectroscopy‐based fast and accurate nondestructive analytical method for the detection of piperine, a bioactive constituent of pepper, as a tool for the quality control of whole and ground black pepper.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>32888358</pmid><doi>10.1111/1750-3841.15428</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-1797-9089</orcidid><orcidid>https://orcid.org/0000-0001-5277-3345</orcidid><orcidid>https://orcid.org/0000-0001-7232-6008</orcidid><orcidid>https://orcid.org/0000-0001-9745-3644</orcidid><orcidid>https://orcid.org/0000-0001-7168-1876</orcidid></addata></record>
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source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Alkaloids - chemistry
Aroma
Benzodioxoles - chemistry
Biological activity
black pepper
Calibration
Chemometrics
Feasibility Studies
Infrared analysis
Infrared spectroscopy
Inspection
Least-Squares Analysis
Model accuracy
Near infrared radiation
NIR spectroscopy
nondestructive analysis
Nondestructive testing
Piper nigrum
Piper nigrum - chemistry
Piperidines - chemistry
Piperine
Polyunsaturated Alkamides - chemistry
Quality control
quantification
Regression analysis
Seeds - chemistry
Spectroscopic analysis
Spectroscopy, Near-Infrared - methods
Spectrum analysis
title Feasibility of rapid piperine quantification in whole and black pepper using near infrared spectroscopy and chemometrics
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