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基于可见-近红外光谱法的韩国红辣椒粉(辣椒属辣椒)辣椒素含量实时测量系统的设计与制作

Design and Fabrication of a Real-Time Measurement System for the Capsaicinoid Content of Korean Red Pepper (Capsicum annuum L.) Powder by Visible and Near-Infrared Spectroscopy.

作者信息

Lim Jongguk, Kim Giyoung, Mo Changyeun, Kim Moon S

机构信息

National Institute of Agricultural Science, Rural Development Administration, 310 Nongsaengmyeng-ro, Wansan-gu, Jeonju, Jeo1labuk-do 54875, Korea.

Environmental Microbiology and Food Safety Laboratory, BARC-East, Agricultural Research Service, US Department of Agriculture, 10300 Baltimore Avenue, Beltsville, MD 20705, USA.

出版信息

Sensors (Basel). 2015 Oct 29;15(11):27420-35. doi: 10.3390/s151127420.

Abstract

This research aims to design and fabricate a system to measure the capsaicinoid content of red pepper powder in a non-destructive and rapid method using visible and near infrared spectroscopy (VNIR). The developed system scans a well-leveled powder surface continuously to minimize the influence of the placenta distribution, thus acquiring stable and representative reflectance spectra. The system incorporates flat belts driven by a sample input hopper and stepping motor, a powder surface leveler, charge-coupled device (CCD) image sensor-embedded VNIR spectrometer, fiber optic probe, and tungsten halogen lamp, and an automated reference measuring unit with a reference panel to measure the standard spectrum. The operation program includes device interface, standard reflectivity measurement, and a graphical user interface to measure the capsaicinoid content. A partial least square regression (PLSR) model was developed to predict the capsaicinoid content; 44 red pepper powder samples whose measured capsaicinoid content ranged 13.45-159.48 mg/100 g by per high-performance liquid chromatography (HPLC) and 1242 VNIR absorbance spectra acquired by the pungency measurement system were used. The determination coefficient of validation (RV2) and standard error of prediction (SEP) for the model with the first-order derivative pretreatment method for Korean red pepper powder were 0.8484 and ±13.6388 mg/100 g, respectively.

摘要

本研究旨在设计并制造一种系统,利用可见近红外光谱(VNIR)以无损且快速的方法测量红辣椒粉中的辣椒素含量。所开发的系统持续扫描平整的粉末表面,以尽量减少胎座分布的影响,从而获取稳定且具有代表性的反射光谱。该系统包括由样品输入料斗和步进电机驱动的平皮带、粉末表面整平器、嵌入电荷耦合器件(CCD)图像传感器的VNIR光谱仪、光纤探头和钨卤灯,以及带有参考面板以测量标准光谱的自动参考测量单元。操作程序包括设备接口、标准反射率测量以及用于测量辣椒素含量的图形用户界面。开发了偏最小二乘回归(PLSR)模型来预测辣椒素含量;使用了44个红辣椒粉样品,其通过高效液相色谱(HPLC)测得的辣椒素含量范围为13.45 - 159.48 mg/100 g,以及由辣味测量系统获取的1242个VNIR吸光度光谱。对于采用一阶导数预处理方法的韩国红辣椒粉模型,验证决定系数(RV2)和预测标准误差(SEP)分别为0.8484和±13.6388 mg/100 g。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f82a/4701239/b451e2787ee7/sensors-15-27420-g001.jpg

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