On-Site Rapid and Non-Destructive Identification Method for Imported Bulk Olive Oil Quality Based on Portable Raman Spectroscopy

Jin-ge MA; Qiao-ling YANG; Xiao-jun DENG; Yi-yin SHI; Shu-qing GU; Chao-min ZHAO; Yong-ai YU; Feng ZHANG

doi:10.3964/j.issn.1000-0593(2021)09-2789-06

Spectroscopy and Spectral Analysis, Volume. 41, Issue 9, 2789(2021)

On-Site Rapid and Non-Destructive Identification Method for Imported Bulk Olive Oil Quality Based on Portable Raman Spectroscopy

Jin-ge MA^1、*, Qiao-ling YANG^2、2;, Xiao-jun DENG^{1、1; *;}, Yi-yin SHI^1、1;, Shu-qing GU^1、1;, Chao-min ZHAO^1、1;, Yong-ai YU^3、3;, and Feng ZHANG^4、4;

Author Affiliations

¹1. Technical Center for Animal Plant and Food Inspection and Quarantine, Shanghai Customs, Shanghai 200135, China

²2. School of Life Sciences, Shanghai University, Shanghai 200444, China

³3. Shanghai Oceanhood Opto-electronics Tech Co., LTD., Shanghai 201201, China

⁴4. Chinese Academy of Inspection and Quarantine, Beijing 100176, China

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Figures & Tables(8)

Fig. 1. Trend chart of quality indicators of olive oil heating
(a): Change in acid value; (b): Change in peroxide value; (c): Change in linolenic acid

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Fig. 2. Raman spectra of olive oil under different processing conditions

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Fig. 3. The relationship between the predicted value and the actual value of the calibration set
(a): The acid value correction set of the PLS method; (b): The acid value correction set of the VAPLS method;(c): Peroxide value correction set of PLS method; (d): Peroxide value correction set of VAPLS metion;(e): Linolenic acid correction set of PLS metion; (f): Linolenic acid correction set of VAPLS metion

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Table 1. Model evaluation results under full spectrum

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Table 1. Model evaluation results under full spectrum

方法	品质指标	校正集			验证集
方法	品质指标	R²	RMSE	相对误差范围/%	R²	RMSE	相对误差范围/%
	酸价	0.992 7	0.025	-9.33~10.12	0.939 6	0.073 3	-15.50~26.14
PLS	过氧化值	0.917 7	0.187 4	-11.25~14.28	0.702 7	0.341 8	-25.81~19.61
	亚麻酸	0.998 9	9.919 3	-3.33~7.04	0.890 3	89.877 5	-18.70~139.77
	酸价	0.992 7	0.025 5	-14.00~10.04	0.844 6	0.128 1	-105.30~22.53
VAPLS	过氧化值	0.911 3	0.258 4	-17.00~11.42	0.904 3	0.235 7	14.80~21.30
	亚麻酸	0.952 0	65.416 4	-60.42~42.85	0.809 2	32.454 9	-34.61~172.03

Table 2. Model evaluation results after spectral preprocessing

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Table 2. Model evaluation results after spectral preprocessing

方法	品质指标	校正集			验证集
方法	品质指标	R²	RMSE	相对误差范围/%	R²	RMSE	相对误差范围/%
	酸价	0.998 8	0.013 0	-5.36~4.10	0.993 1	0.019 8	-8.45~7.41
PLS	过氧化值	0.995 4	0.060 8	-3.46~4.50	0.989 8	0.100 9	-7.43~6.35
	亚麻酸	0.998 2	13.334 1	-9.92~9.34	0.983 8	37.407 4	-12.42~8.19
	酸价	0.995 7	0.022 0	-5.43~4.60	0.992 5	0.023 5	-4.81~4.37
VAPLS	过氧化值	0.998 6	0.030 9	-2.04~3.41	0.994 6	0.076 6	-5.00~3.42
	亚麻酸	0.992 9	19.767 6	-4.51~4.46	0.994 2	25.074 4	-3.90~4.35

Table 3. Evaluation results of acid value model

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Table 3. Evaluation results of acid value model

样品	酸值/(mg·g^-1)
样品	实测值	预测值 (PLS)	相对误差 /%	预测值 (VAPLS)	相对误差 /%
1	0.724 8	0.686 3	-5.32	0.690 7	-4.71
2	0.588 5	0.544 2	-7.54	0.608 8	3.44
3	0.389 1	0.383 7	-1.40	0.378 3	-2.78
4	0.528 4	0.601 9	13.91	0.508 7	-3.73
5	0.679 8	0.670 0	-1.44	0.657 3	-3.32
6	0.522 7	0.544 9	4.25	0.545 8	4.42
7	0.538 9	0.514 7	-4.51	0.567 7	5.34
RMSE		0.041 3		0.025 8

Table 4. Model evaluation results of peroxide value

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Table 4. Model evaluation results of peroxide value

样品	过氧化值/[g·(100 g)^-1]
样品	实测值	预测值 (PLS)	相对误差 /%	预测值 (VAPLS)	相对误差 /%
1	5.224 0	5.570 2	6.63	5.111 4	-2.16
2	5.427 2	4.965 5	-8.51	5.196 9	-4.24
3	2.206 3	2.259 1	2.40	2.189 6	-0.76
4	5.917 0	5.846 5	-1.19	6.036 6	2.02
5	7.383 9	7.616 3	3.15	7.606 1	3.01
6	5.299 2	5.142 2	-2.96	5.350 9	0.98
7	4.363 3	4.592 4	5.25	4.501 4	3.17
RMSE		0.305 9		0.162 8

Table 5. Model evaluation results of linolenic acid

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Table 5. Model evaluation results of linolenic acid

样品	亚麻酸/[mg·(100 g)^-1]
样品	实测值	预测值 (PLS)	相对误差 /%	预测值 (VAPLS)	相对误差 /%
1	869.681	890.111	2.35	891.425	2.50
2	890.074	929.070	4.38	943.282	5.99
3	881.528	869.104	-1.41	913.661	3.65
4	837.253	869.983	3.91	878.404	4.91
5	856.288	917.450	7.14	888.411	3.75
6	985.232	925.638	-6.05	974.550	-1.08
7	886.793	910.629	2.69	890.081	0.37
RMSE		23.298 5		17.064 1

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Jin-ge MA, Qiao-ling YANG, Xiao-jun DENG, Yi-yin SHI, Shu-qing GU, Chao-min ZHAO, Yong-ai YU, Feng ZHANG. On-Site Rapid and Non-Destructive Identification Method for Imported Bulk Olive Oil Quality Based on Portable Raman Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2021, 41(9): 2789

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Paper Information

Category: Research Articles

Received: Aug. 19, 2020

Accepted: --

Published Online: Oct. 29, 2021

The Author Email: MA Jin-ge (15678092339@163.com)

DOI:10.3964/j.issn.1000-0593(2021)09-2789-06

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology