西式快餐用煎炸油质量近红外快速检测模型的建立

胡明明; 张权; 宁舒娴; 吴思纷; 张国文; 胡兴

doi:10.13386/j.issn1002-0306.2021120181

西式快餐用煎炸油质量近红外快速检测模型的建立

doi: 10.13386/j.issn1002-0306.2021120181

胡明明^{1, 2, 3,},
张权²,
宁舒娴²,
吴思纷²,
张国文^3, ,,
胡兴³

1.
江西师范大学国家淡水鱼加工技术研发专业中心，江西南昌 330022
2.
江西师范大学生命科学院，江西南昌 330022
3.
南昌大学食品科学与技术国家重点实验室，江西南昌 330047

基金项目: 国家自然科学青年基金项目（31801470）；江西省教育厅科学技术研究项目（GJJ210322）；江西省青年科学基金项目（20192BAB214011）。

详细信息

作者简介:
胡明明（1986−），男，博士，助理研究员，研究方向：油脂质量分析及产品开发应用，E-mail：2006abc-hmm@163.com

通讯作者:
张国文（1966−），男，博士，教授，研究方向：食品化学与分析、食品营养与安全，E-mail：gwzhang@ncu.edu.cn

中图分类号: TS225.1
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- 被引次数: 0
出版历程
- 收稿日期: 2021-12-20
- 网络出版日期: 2022-04-18
- 刊出日期: 2022-06-01

Study on Quick Test Model for the Quality of Frying Oil from Western-style Fast Food Restaurants by Near Infrared Spectroscopy

HU Mingming^{1, 2, 3
,},
ZHANG Quan²,
NING Shuxian²,
WU Sifen²,
ZHANG Guowen^{3
, ,},
HU Xing³

1.
National R & D Center for Freshwater Fish Processing, Jiangxi Normal University, Nanchang 330022, China
2.
College of Life Science, Jiangxi Normal University, Nanchang 330022, China
3.
State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China

摘要

摘要: 为对西式快餐用煎炸油质量进行快速监测，选用近红外光谱法（NIRS）联合偏最小二乘法（PLS），分别建立酸价和极性组分两个煎炸油质量指标的定量模型。结果表明，酸价和极性组分的定标模型校正决定系数（R²）均为0.9974，校正标准差均方根（RMSEC）分别为0.111和0.359，预测标准差均方根（RMSEP）分别为0.171和0.562。盲样验证、精密度及准确度分析结果显示，酸价和极性组分的NIR预测值同真实值的相关方程的相关系数分别为0.9944、0.9761，应用所建模型预测同一煎炸油样品的酸价和极性组分的相对标准偏差（RSD）分别为0.934%和1.278%，表明所建模型对煎炸油样品的酸价和极性组分预测能力较好，且有较好的重现性。因此，基于近红外光谱定量模型，可以对西式快餐用煎炸油质量进行快速、准确地监测。
- 煎炸油 /
- 近红外光谱 /
- 酸价 /
- 极性组分
Abstract: In order to quickly detect the quality of frying oil from western-style fast food restaurants, calibration models of acid value and total polar compounds were established using near infrared spectroscopy (NIRS) combined with partial least squares (PLS) to evaluate the frying oil quality. The findings presented that the correction coefficient of calibration model of acid value and total polar compounds were both 0.9974. The root mean square error of cross-validation (RMSEC) were 0.111 and 0.359, respectively. The root mean square error of prediction (RMSEP) were 0.171 and 0.562, respectively. The results of blind samples verification showed that the correlation coefficients between prediction value and true value for acid value and total polar compounds of frying oil were 0.9944 and 0.9761, respectively; the precision test showed that the relative standard deviations (RSD) of acid value and total polar components using the calibration models for the same frying oil sample were 0.934% and 1.278%, respectively, which indicated that the models of quantitative analysis of acid value and total polar compounds of frying oils were good with excellent prediction abilities and reproducibility. Therefore, the rapid detection model based on near infrared spectroscopy could rapidly and accurately detect the quality of frying oil from western-style fast food restaurants.
- frying oil /
- near infrared spectroscopy /
- acid value /
- total polar compounds

HTML全文

图 1 101 个煎炸油样品近红外光谱图

Figure 1. The NIR spectra of 101 frying oil samples

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图 2 近红外一阶导数光谱图

Figure 2. NIR spectra by first derivative

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图 3 煎炸油样品的马氏距离分布图

Figure 3. Mahalanobis distance of frying oil samples

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图 4 酸价定量分析模型 RMSECV 随主因子数的变化

Figure 4. Changes in RMSECV with principal factors in quantitative analysis model of acid value

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图 5 极性组分定量分析模型 RMSECV 随主因子数的变化

Figure 5. Changes in RMSECV with principal factors in quantitative analysis model of total polar compounds

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图 6 酸价的近红外光谱 PLS 建模结果图（a）和偏差图（b）

Figure 6. Correlation (a) and deviation (b) between NIR predicted values and reference values of acid value

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图 7 极性组分的近红外光谱 PLS 建模结果图（a）和偏差图（b）

Figure 7. Correlation (a) and deviation (b) between NIR predicted values and reference values of total polar compounds

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图 8 煎炸油酸价（a）和极性组分（b）预测值与真实值分布

Figure 8. Prediction value and true value of acid value (a) and total polar compounds (b) of frying oil

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表 1 煎炸油定量分析模型校正集和验证集酸价和极性组分的分布

Table 1. Acid value and total polar compounds content of calibration set and validation set of quantitative analysis model for frying oil

样品类别	项目	校正集（88个）	验证集（13个）
酸价（mg KOH/g）	范围	0.11~8.96	0.23~5.22
酸价（mg KOH/g）	均值	1.56	1.81
极性组分（%）	范围	3.83~28.00	7.33~27.67
极性组分（%）	均值	13.48	13.66

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表 2 不同光谱预处理对煎炸油酸价定量分析模型的影响

Table 2. Effect of various pretreatment methods on the performance of quantitative analysis model of acid value for frying oil

预处理方法	R²	RMSEC	RMSEP
无处理	0.9966	0.125	0.142
一阶导数	0.9956	0.146	0.343
一阶导数+S-G平滑	0.9940	0.167	0.254
一阶导数+Norris平滑	0.9961	0.134	0.131
二阶导数	0.2197	1.490	1.320
二阶导数+S-G平滑	0.9834	0.277	0.577
二阶导数+Norris平滑	0.9974	0.111	0.171

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表 3 不同光谱预处理对煎炸油极性组分定量分析模型的影响

Table 3. Effect of various pretreatment methods on the performance of quantitative analysis model of total polar compounds for frying oil

预处理方法	R²	RMSEC	RMSEP
无处理	0.9956	0.468	0.706
一阶导数	0.9959	0.453	1.130
一阶导数+S-G平滑	0.9956	0.464	1.010
一阶导数+Norris平滑	0.9974	0.359	0.562
二阶导数	0.9445	1.630	3.090
二阶导数+S-G平滑	0.9933	0.576	1.280
二阶导数+Norris平滑	0.9967	0.402	0.652

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