Application Research of NIR Technology on the Fast Quantification of the Key Quality Indicators of Antarctic Krill Oil

• Main Authors: Junkui MIAO, Yating ZHANG, Yongpei JIN, Xiaofang LIU, Yuan YU, Kailiang LENG, Zengguang YANG, Yongyi JIANG
• Format: Article in Journal/Newspaper
• Language: Chinese
• Published: The editorial department of Science and Technology of Food Industry 2022
• Subjects: antarctic krill oil; phospholipid; epa; dha; astaxanthin; acid value; near infrared spectroscopy (nir); fast quantification; Food processing and manufacture; TP368-456; Antarctic; Antarc*; Antarctic Krill
• Online Access: https://doi.org/10.13386/j.issn1002-0306.2021120098; https://doaj.org/article/6c45637e7de348c88e2c7b9b64df3558

In this paper, near-infrared spectroscopy technology was used to establish a rapid determination of the content of phospholipids, eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), astaxanthin and acid value in Antarctic krill oil. Partial least squares (PLS) was used as modeling method. The NIR spectra of krill oil were treated by first-order difference (FD), FD+Savitzky-Golay (SG), FD+Norris (N), second-order difference (SD), SD+SG and SD+N. And root mean square error of cross validation (RMSECV), root mean square error of external prediction (RMSEP), the ratio of the RMSEP to standard deviation of reference data in the prediction (RPDEV), correlation coefficient in calibration (RC), correlation coefficient in cross validation (RCV) and correlation coefficient in external validation (REV) of the prediction models were compared. It was determined that the best treatment methods for phospholipid, EPA and DHA in krill oil were FD, FD and SD+N, and the acid value model did not need to be treated. Under the optimal conditions, RC, RCV and REV of the four components in the NIR prediction model were all above 0.95, except that RCV of acid value was slightly lower (0.917). Meanwhile, the RPDCV and RPDEV of the four components, except for the acid value, which was 2.365, slightly less than 2.5, the rest meet the requirements of greater than 2.5. It showed that prediction model of phospholipid, EPA and DHA of krill oil using near infrared spectroscopy had a good prediction accuracy. The difference between RMSEC and RMSECV was not significant, indicating that the model had good stability. Due to the low content and complex composition of astaxanthin in krill oil, the RC, RCV and REV of the NIR quantification model were all under 0.60, near infrared spectroscopy (NIR) was not suitable for the rapid quantification of astaxanthin in krill oil. In this study, it was confirmed that NIR could be used for the rapid quantification of phospholipids, EPA, DHA and acid value in krill oil and was able to be used as an ...