CN108489934A - 一种检测花生油品质的方法 - Google Patents
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Abstract
本发明公开了一种检测花生油品质的方法,属于光谱分析技术领域。本发明的检测花生油品质的方法,是对待测花生油进行近红外扫描,将扫描后的光谱导入构建的花生油油酸、亚油酸、过氧化值和酸值的近红外光谱模型中,经分析获得花生油品质。本发明方法建立的近红外光谱模型可以快速测定花生油油酸、亚油酸过氧化值和酸值,且测定结果误差小,准确度高,数值可靠,通过检测花生油中油酸、亚油酸过氧化值和酸值能够判断花生油的品质,进而保证食用油质量安全。
Description
技术领域
本发明属于光谱分析技术领域,具体涉及一种检测花生油品质的方法。
背景技术
花生是世界上主要的油料作物,也是优质植物油和高消化率蛋白质的重要来源。随着人民生活水平的提高,开始注重食用油的“口感、营养、健康和方便”。
与普通花生相比,高油酸花生更加有益人体健康,高油酸花生食用油和食品能够保持花生良好的风味经久不衰,货架期显著延长,因此深受消费者和加工商欢迎,世界范围内掀起了选育、推广种植和应用高油酸花生的热潮。
按美国育种家的说法,高油酸花生油亚比应不低于9。一般认为高油酸花生油酸含量应不低于72%、亚油酸含量不高于7.7%。花生油脂肪酸测定常用色谱法,不仅需要消耗化学试剂,而且耗时长。近红外法测定完整花生子仁脂肪酸含量已有报道,如需测定液体则需专门仪器并配备相应模型。
此外,与其他植物油一样,花生油在加工、流通和保存期间被氧化会导致风味、颜色和质地的劣变,产生的氧化脂质会危害人体健康。过氧化值(PV)和酸值(AV)是两项衡量食用油是否合格的重要指标。过氧化物是油脂在氧化酸败过程中生成的不稳定的中间产物,可分解成较短碳链的醛、酮、酸等,对过氧化值的测定可衡量油脂氧化酸败的程度。食用油过氧化值过高,即油脂氧化过程中产生的中间产物(过氧化物)含量过高。食用高过氧化物油脂可引起呕吐、腹泻等中毒症状。因此食用油中过氧化物含量高低直接影响油的品质。
对花生油的油酸、亚油酸、过氧化值和酸值进行检测有助于评判花生油品质的好坏。
发明内容
本发明目的是建立一种检测花生油品质的方法,对花生油的油酸、亚油酸、过氧化值和酸值进行准确分析。
为了实现上述目的,本发明的技术方案如下:
一种检测花生油品质的方法,对待测花生油进行近红外扫描,将扫描后的光谱导入构建的花生油油酸、亚油酸、过氧化值和酸值的近红外光谱模型中,经分析获得花生油品质。
在上述方案的基础上,所述花生油油酸、亚油酸、过氧化值和酸值近红外光谱模型由以下方法构建而成:
(1)调兑不同油酸、亚油酸含量的花生油和不同新陈程度的花生油;
(2)对上述花生油样品进行近红外光谱测定,收集近红外光谱信息;
(3)检测调兑的不同油酸、亚油酸含量花生油样品的油酸、亚油酸值的化学值和调兑的不同新陈程度花生油样品的过氧化值、酸值的化学值;
(4)分别对花生油样品的油酸、亚油酸、过氧化值和酸值的化学值和(2)中采集的近红外光谱数据进行拟合光谱处理,用偏最小二乘法优化建立模型,反复采用内部交叉验证剔除奇异点,通过比较样品预测值与化学值的R2和RMSECV衡量模型质量,筛选最佳模型;
(5)验证模型的准确性。
在上述方案的基础上,所述近红外光谱扫描参数为:扫描谱区范围4000~12000cm-1,扫描次数64次,分辨率8cm-1。
在上述方案的基础上,不同油酸、亚油酸含量的花生油的调兑方式及油酸亚油酸含量的化学值为:
所述不同油酸、亚油酸含量的花生油的近红外光谱预测值为:
高油酸花生油(mL) | 普通花生油(mL) | 油酸/% | 亚油酸/% |
4200 | 0 | 82.12 | 5.87 |
4060 | 140 | 80.45 | 6.48 |
3920 | 280 | 79.77 | 7.52 |
3570 | 630 | 77.13 | 10.01 |
3430 | 770 | 75.26 | 10.84 |
3360 | 840 | 72.81 | 12.55 |
3080 | 1120 | 70.46 | 13.40 |
2800 | 1400 | 69.54 | 14.45 |
2520 | 1680 | 66.59 | 17.93 |
2380 | 1820 | 64.87 | 17.57 |
2100 | 2100 | 63.58 | 19.75 |
1820 | 2380 | 60.24 | 21.51 |
1400 | 2800 | 61.25 | 22.90 |
980 | 3220 | 56.33 | 26.37 |
630 | 3570 | 53.45 | 29.92 |
280 | 3920 | 51.03 | 31.25 |
0 | 4200 | 46.89 | 33.94 |
在上述方案的基础上,
所述花生油油酸含量模型的最佳光谱预处理方法为“一阶导数+MSC”,谱区范围为6102~4597.7cm-1(厘米波数),维数为6,模型的R2为96.14,RMSECV为2.13;
所述花生油亚油酸含量模型的最佳光谱预处理方法为“一阶导数+MSC”,谱区范围为7506~4242.8cm-1(厘米波数),维数为8,模型的R2为98.07,RMSECV为1.26。
在上述方案的基础上,所述不同新陈程度的花生油的勾兑方式及过氧化值、酸值的化学值为:
新油(mL) | 陈油(mL) | 过氧化值mmol/kg | 酸值mg/g |
70 | 0 | 2.5800 | 0.4601 |
68 | 2 | 2.7892 | 0.4773 |
66 | 4 | 3.2668 | 0.5012 |
64 | 6 | 3.4683 | 0.5544 |
62 | 8 | 3.7030 | 0.5607 |
58 | 12 | 7.1251 | 0.618 |
56 | 14 | 7.7818 | 0.6423 |
54 | 16 | 9.2412 | 0.6679 |
52 | 18 | 10.6129 | 0.7033 |
50 | 20 | 11.0852 | 0.7104 |
48 | 22 | 12.6037 | 0.7272 |
46 | 24 | 12.7568 | 0.7753 |
44 | 26 | 12.9505 | 0.7756 |
42 | 28 | 13.3439 | 0.7847 |
40 | 30 | 13.4396 | 0.8022 |
38 | 32 | 15.3918 | 0.8236 |
36 | 24 | 15.6912 | 0.8381 |
32 | 38 | 16.2579 | 0.8589 |
30 | 40 | 16.4974 | 0.904 |
28 | 42 | 16.6081 | 0.9342 |
26 | 44 | 16.6881 | 1.0046 |
24 | 46 | 17.1134 | 1.0826 |
20 | 50 | 17.432 | 1.1785 |
18 | 52 | 17.6761 | 1.2171 |
16 | 54 | 18.6511 | 1.2327 |
14 | 56 | 18.9033 | 1.279 |
10 | 60 | 20.1452 | 1.2922 |
8 | 62 | 20.9424 | 1.32 |
6 | 64 | 21.1418 | 1.3327 |
4 | 66 | 21.7543 | 1.3763 |
2 | 68 | 24.0902 | 1.399 |
0 | 70 | 24.507 | 1.4133 |
所述不同新陈程度的花生油的勾兑方式及过氧化值、酸值的预测值为:
新油(mL) | 陈油(mL) | 过氧化值mmol/kg | 酸值mg/g |
70 | 0 | ------------------------------ | 0.4550 |
68 | 2 | ------------------------------ | 0.4670 |
66 | 4 | ------------------------------ | 0.5305 |
64 | 6 | ------------------------------ | 0.5590 |
62 | 8 | ------------------------------ | 0.5798 |
58 | 12 | 8.1810 | 0.6093 |
56 | 14 | 10.5400 | 0.6443 |
54 | 16 | 11.0100 | 0.6529 |
52 | 18 | 11.7350 | 0.6866 |
50 | 20 | 11.7667 | 0.7133 |
48 | 22 | 12.2600 | 0.7466 |
46 | 24 | 12.5367 | 0.8137 |
44 | 26 | 12.8500 | 0.8661 |
42 | 28 | 13.5233 | 0.8702 |
40 | 30 | 14.1267 | 0.8865 |
38 | 32 | 14.9467 | 0.9068 |
36 | 24 | 15.3867 | 0.9213 |
32 | 38 | 16.7500 | 0.9335 |
30 | 40 | 16.7667 | 0.9770 |
28 | 42 | 16.8600 | 0.9773 |
26 | 44 | 16.9933 | 1.0577 |
24 | 46 | 17.3050 | 1.1133 |
20 | 50 | 17.9400 | 1.1967 |
18 | 52 | 18.3700 | 1.2477 |
16 | 54 | 18.5167 | 1.2737 |
14 | 56 | 18.6567 | 1.2897 |
10 | 60 | 18.7900 | 1.3037 |
8 | 62 | 21.1467 | 1.3373 |
6 | 64 | 22.0533 | 1.3433 |
4 | 66 | 22.2267 | 1.3700 |
2 | 68 | 23.4567 | 1.3820 |
0 | 70 | 23.7950 | 1.3837 |
在上述方案的基础上,所述花生油过氧化值模型的最佳光谱预处理方法为“一阶导数+矢量归一化”,谱区范围为7506~6094.3cm-1,维数为6,模型的R2为91.93,RMSECV为1.23;
所述花生油酸值模型的最佳光谱预处理方法为“矢量归一化”,谱区范围为7506~6094.3cm-1,维数为7,模型的R2为93.88,RMSECV为0.074。
在上述方案的基础上,所述近红外光谱扫描,每个样品4mL,重复扫描3次。
本发明的有益效果:
本发明方法建立的近红外光谱模型可以快速测定花生油油酸、亚油酸过氧化值和酸值,且测定结果误差小,准确度高,数值可靠,通过检测花生油中油酸、亚油酸过氧化值和酸值能够判断花生油的品质,进而保证食用油质量安全。
附图说明
图1花生油样品的近红外扫描光谱图,其中横坐标代表波数(cm-1),纵坐标代表吸光度;
图2花生油油酸含量的近红外模型,其中横坐标代表化学值,纵坐标代表预测值;
图3花生油亚油酸含量的近红外模型其中横坐标代表化学值,纵坐标代表预测值;
图4花生油过氧化值的近红外模型其中横坐标代表化学值,纵坐标代表预测值;
图5花生油酸值的近红外模型其中横坐标代表化学值,纵坐标代表预测值。
具体实施方式
在本发明中所使用的术语,除非有另外说明,一般具有本领域普通技术人员通常理解的含义。
下面结合具体实施例,并参照数据进一步详细的描述本发明。以下实施例只是为了举例说明本发明,而非以任何方式限制本发明的范围。
实施例
一、花生油油酸、亚油酸含量近红外光谱模型的建立
(1)用近红外光谱仪收集建模所需花生油的光谱
采用高油酸花生油和普通花生油合理勾兑出不同油酸和亚油酸含量的花生油样品;
本发明建模采用的光谱数据由德国布鲁克光谱仪器公司生产的Matrix-Ⅰ型傅立叶变换近红外光谱仪采集。
将勾兑好的花生油样品4mL分别放入方形石英比色皿中,加样时避免产生气泡。
将比色皿加盖并用胶带封固后横置于近红外光源上,使与比色皿盖下沿齐平的透光面对准光源,不使用原设备的旋转样品杯并取消旋转功能。
设置光谱仪扫描谱区范围为4000~12000cm-1(厘米波数),扫描次数为64次,分辨率为8cm-1(厘米波数)。开机预热30min后检测样品。
每个样品需扫描三次并且第二次和第三次扫描时要将比色皿旋转以得到同一样品的多个近红外光谱。
表1不同油酸、亚油酸含量的花生油的预测值
高油酸花生油(mL) | 普通花生油(mL) | 油酸/% | 亚油酸/% |
4200 | 0 | 82.12 | 5.87 |
4060 | 140 | 80.45 | 6.48 |
3920 | 280 | 79.77 | 7.52 |
3570 | 630 | 77.13 | 10.01 |
3430 | 770 | 75.26 | 10.84 |
3360 | 840 | 72.81 | 12.55 |
3080 | 1120 | 70.46 | 13.40 |
2800 | 1400 | 69.54 | 14.45 |
2520 | 1680 | 66.59 | 17.93 |
2380 | 1820 | 64.87 | 17.57 |
2100 | 2100 | 63.58 | 19.75 |
1820 | 2380 | 60.24 | 21.51 |
1400 | 2800 | 61.25 | 22.90 |
980 | 3220 | 56.33 | 26.37 |
630 | 3570 | 53.45 | 29.92 |
280 | 3920 | 51.03 | 31.25 |
0 | 4200 | 46.89 | 33.94 |
(2)花生油样品化学值的获取
采用HPLC法测定上述花生油样品的油酸和亚油酸含量如表2所示:
表2不同油酸、亚油酸含量的花生油的化学值
高油酸花生油(mL) | 普通花生油(mL) | 油酸/% | 亚油酸/% |
4200 | 0 | 80.48 | 5.57 |
4060 | 140 | 79.44 | 6.29 |
3920 | 280 | 78.37 | 7.26 |
3570 | 630 | 75.41 | 9.69 |
3430 | 770 | 74.17 | 10.64 |
3360 | 840 | 72.12 | 12.42 |
3080 | 1120 | 70.86 | 13.47 |
2800 | 1400 | 69.65 | 14.47 |
2520 | 1680 | 65.58 | 17.74 |
2380 | 1820 | 65.76 | 17.73 |
2100 | 2100 | 63.30 | 19.70 |
1820 | 2380 | 61.07 | 21.66 |
1400 | 2800 | 59.81 | 22.63 |
980 | 3220 | 55.49 | 26.21 |
630 | 3570 | 51.43 | 29.55 |
280 | 3920 | 49.63 | 30.99 |
0 | 4200 | 46.47 | 33.86 |
高油酸花生油为鲁花公司生产的高油酸花生油,普通花生油指超市中购买的普通油酸含量的花生油。
(3)模型构建与优化
光谱处理和模型构建采用德国布鲁克Matrix-Ⅰ型近红外光谱仪的OPUS 5.5软件,用NIR选项进行优化。用偏最小二乘法(PLS法)优化建立模型,采用内部交叉验证剔除奇异点(outlier)。选择最佳光谱预处理办法、最佳谱区、维数,并作进一步验证。通过比较样品预测值与化学值的决定系数(R2)和根均方差(RMSECV)衡量模型质量。
经优化,所述花生油油酸含量模型的最佳光谱预处理方法为“一阶导数+MSC”,谱区范围为6102~4597.7cm-1(厘米波数),维数为6,模型的R2为96.14,RMSECV为2.13;
所述花生油亚油酸含量模型的最佳光谱预处理方法为“一阶导数+MSC”,谱区范围为7506~4242.8cm-1(厘米波数),维数为8,模型的R2为98.07,RMSECV为1.26。
(4)预测效果
另取4份花生油样品,检验模型预测效果,油酸预测结果如表3所示,亚油酸预测结果如表4所示。油酸偏差为-0.87~0.23%,预测偏差较低。预测值与化学值成对数据t测验结果表明:两组数据的均值差为-0.11,自由度为3,t检验值为0.727<t0.05=3.182,两组数据差异不显著;亚油酸偏差为-0.18~0.12%,预测偏差较低。预测值与化学值成对数据t测验结果表明:两组数据的均值差为-0.0275,自由度为3,t检验值为0.702<t0.05=3.182,两组数据差异不显著。
表3花生油样品油酸含量化学值与预测值比较
油样(mL) | 化学值 | 预测值 | 偏差 |
高油酸花生油4080普通花生油120 | 79.68 | 80.55 | -0.87 |
高油酸花生油3400普通花生油800 | 73.85 | 73.62 | 0.23 |
高油酸花生油2550普通花生油1650 | 66.04 | 66.26 | -0.22 |
高油酸花生油950普通花生油3250 | 54.85 | 54.43 | 0.42 |
表4花生油样品亚油酸含量化学值与预测值比较
油样(mL) | 化学值 | 预测值 | 偏差 |
高油酸花生油4080普通花生油120 | 5.95 | 6.13 | -0.18 |
高油酸花生油3400普通花生油800 | 11.18 | 11.15 | 0.03 |
高油酸花生油2550普通花生油1650 | 17.75 | 17.63 | 0.12 |
高油酸花生油950普通花生油3250 | 27.83 | 27.91 | -0.08 |
二、花生油酸值、过氧化值含量近红外光谱模型的建立
(1)用近红外光谱仪收集建模所需花生油的光谱
本研究建模采用的光谱数据由德国布鲁克光谱仪器公司生产的Matrix-Ⅰ型傅立叶变换近红外光谱仪采集。光谱仪扫描谱区范围为4000~12000cm-1(厘米波数),扫描次数为64次,分辨率为8cm-1。开机预热30min后检测样品。采集光谱所用花生油样品,每份材料约4mL,重复扫描3次。
表5不同新陈程度的花生油过氧化值、酸值的预测值
新油(mL) | 陈油(mL) | 过氧化值mmol/kg | 酸值mg/g |
70 | 0 | ------------------------------ | 0.4550 |
68 | 2 | ------------------------------ | 0.4670 |
66 | 4 | ------------------------------ | 0.5305 |
64 | 6 | ------------------------------ | 0.5590 |
62 | 8 | ------------------------------ | 0.5798 |
58 | 12 | 8.1810 | 0.6093 |
56 | 14 | 10.5400 | 0.6443 |
54 | 16 | 11.0100 | 0.6529 |
52 | 18 | 11.7350 | 0.6866 |
50 | 20 | 11.7667 | 0.7133 |
48 | 22 | 12.2600 | 0.7466 |
46 | 24 | 12.5367 | 0.8137 |
44 | 26 | 12.8500 | 0.8661 |
42 | 28 | 13.5233 | 0.8702 |
40 | 30 | 14.1267 | 0.8865 |
38 | 32 | 14.9467 | 0.9068 |
36 | 24 | 15.3867 | 0.9213 |
32 | 38 | 16.7500 | 0.9335 |
30 | 40 | 16.7667 | 0.9770 |
28 | 42 | 16.8600 | 0.9773 |
26 | 44 | 16.9933 | 1.0577 |
24 | 46 | 17.3050 | 1.1133 |
20 | 50 | 17.9400 | 1.1967 |
18 | 52 | 18.3700 | 1.2477 |
16 | 54 | 18.5167 | 1.2737 |
14 | 56 | 18.6567 | 1.2897 |
10 | 60 | 18.7900 | 1.3037 |
8 | 62 | 21.1467 | 1.3373 |
6 | 64 | 22.0533 | 1.3433 |
4 | 66 | 22.2267 | 1.3700 |
2 | 68 | 23.4567 | 1.3820 |
0 | 70 | 23.7950 | 1.3837 |
注:1)上表中“---”标记为离异值,在模型构建中剔除;
2)所述的新油是自出厂日期到用于测定实验一个月内,陈油是自生产出在自然条件下存放两年。
(2)花生油样品化学值的获取
酸值按国标(GB5009.229—2016)方法测定。过氧化值按国标(GB5009.227—2016)方法测定。
表6不同新陈程度的花生油过氧化值、酸值的化学值
新油(mL) | 陈油(mL) | 过氧化值mmol/kg | 酸值mg/g |
70 | 0 | 2.5800 | 0.4601 |
68 | 2 | 2.7892 | 0.4773 |
66 | 4 | 3.2668 | 0.5012 |
64 | 6 | 3.4683 | 0.5544 |
62 | 8 | 3.7030 | 0.5607 |
58 | 12 | 7.1251 | 0.618 |
56 | 14 | 7.7818 | 0.6423 |
54 | 16 | 9.2412 | 0.6679 |
52 | 18 | 10.6129 | 0.7033 |
50 | 20 | 11.0852 | 0.7104 |
48 | 22 | 12.6037 | 0.7272 |
46 | 24 | 12.7568 | 0.7753 |
44 | 26 | 12.9505 | 0.7756 |
42 | 28 | 13.3439 | 0.7847 |
40 | 30 | 13.4396 | 0.8022 |
38 | 32 | 15.3918 | 0.8236 |
36 | 24 | 15.6912 | 0.8381 |
32 | 38 | 16.2579 | 0.8589 |
30 | 40 | 16.4974 | 0.904 |
28 | 42 | 16.6081 | 0.9342 |
26 | 44 | 16.6881 | 1.0046 |
24 | 46 | 17.1134 | 1.0826 |
20 | 50 | 17.432 | 1.1785 |
18 | 52 | 17.6761 | 1.2171 |
16 | 54 | 18.6511 | 1.2327 |
14 | 56 | 18.9033 | 1.279 |
10 | 60 | 20.1452 | 1.2922 |
8 | 62 | 20.9424 | 1.32 |
6 | 64 | 21.1418 | 1.3327 |
4 | 66 | 21.7543 | 1.3763 |
2 | 68 | 24.0902 | 1.399 |
0 | 70 | 24.507 | 1.4133 |
采用滴定法测定32份花生油样品过氧化值和酸值,样品化学值相关参数见表7。过氧化值均值为14.49mmol/Kg,最大、最小值分别为24.51mmol/Kg、2.58mmol/Kg;酸值均值为0.91mg/g,最大、最小值分别为1.41mg/g、0.46mg/g。表明建模花生油过氧化值和酸值变幅较大,可用于近红外光谱模型构建。
表7花生油过氧化值和酸值化学值相关统计参数
(3)模型构建与优化
光谱处理和模型构建采用德国布鲁克Matrix-Ⅰ型近红外光谱仪自带OPUS 5.5软件,用NIR选项自动寻优。采用内部交叉验证剔除奇异点。选择最佳光谱预处理办法、最佳谱区、维数,并作进一步验证。通过比较样品预测值与化学值的决定系数(R2)和根均方差(RMSECV)衡量模型质量。
经优化,花生油过氧化值最佳光谱预处理方法为“一阶导数+矢量归一化”。谱区范围为7506~6094.3cm-1(厘米波数),维数为6,模型的决定系数(R2)为91.93,根均方差(RMSECV)为1.23(图4);花生油酸值的最佳光谱预处理方法为“矢量归一化”。谱区范围为7506~6094.3cm-1,维数为7,模型的决定系数(R2)为93.88,根均方差(RMSECV)为0.074(图5)。
(4)预测效果
另取4份花生油样品,检验模型预测效果,过氧化值预测结果如表8所示,酸值预测结果如表9所示。过氧化值偏差为-2.66~0.75mmol/Kg,预测偏差较低。预测值与化学值成对数据t测验结果表明:两组数据的均值差为0.98,自由度为3,t检验值为0.993<t0.05=3.182,两组数据差异不显著;酸值偏差为-0.05~0.08mg/g,预测偏差较低。预测值与化学值成对数据t测验结果表明:两组数据的均值差为0.05,自由度为3,t检验值为1.031<t0.05=3.182,两组数据差异不显著。
表8花生油样品过氧化值含量化学值与预测值比较
表9花生油样品酸值含量化学值与预测值比较
以上所述,仅是本发明的较佳实施例而已,并非是对本发明作其它形式的限制,任何熟悉本专业的技术人员可能利用上述揭示的技术内容加以变更或改型为等同变化的等效实施例。但是凡是未脱离本发明技术方案内容,依据本发明的技术实质对以上实施例所作的任何简单修改、等同变化与改型,仍属于本发明技术方案的保护范围。
Claims (8)
1.一种检测花生油品质的方法,其特征在于:对待测花生油进行近红外扫描,将扫描后的光谱导入构建的花生油油酸、亚油酸、过氧化值和酸值的近红外光谱模型中,经分析获得花生油品质。
2.根据权利要求1所述检测花生油品质的方法,其特征在于:所述花生油油酸、亚油酸、过氧化值和酸值近红外光谱模型由以下方法构建而成:
(1)调兑不同油酸、亚油酸含量的花生油和不同新陈程度的花生油;
(2)对上述花生油样品进行近红外光谱测定,收集近红外光谱信息;
(3)检测调兑的不同油酸、亚油酸含量花生油样品的油酸、亚油酸值的化学值和调兑的不同新陈程度花生油样品的过氧化值、酸值的化学值;
(4)分别对花生油样品的油酸、亚油酸、过氧化值和酸值的化学值和(2)中采集的近红外光谱数据进行拟合光谱处理,用偏最小二乘法优化建立模型,反复采用内部交叉验证剔除奇异点,通过比较样品预测值与化学值的R2和RMSECV衡量模型质量,筛选最佳模型;
(5)验证模型的准确性。
3.根据权利要求1或2所述检测花生油品质的方法,其特征在于:
所述近红外光谱扫描参数为:扫描谱区范围4000~12000cm-1,扫描次数64次,分辨率8cm-1。
4.根据权利要求2或3所述检测花生油品质的方法,其特征在于:不同油酸、亚油酸含量的花生油的调兑方式及油酸亚油酸含量的化学值为:
所述不同油酸、亚油酸含量的花生油的预测值为:
5.根据权利要求4所述检测花生油品质的方法,其特征在于:
所述花生油油酸含量模型的最佳光谱预处理方法为“一阶导数+MSC”,谱区范围为6102~4597.7cm-1(厘米波数),维数为6,模型的R2为96.14,RMSECV为2.13;
所述花生油亚油酸含量模型的最佳光谱预处理方法为“一阶导数+MSC”,谱区范围为7506~4242.8cm-1(厘米波数),维数为8,模型的R2为98.07,RMSECV为1.26。
6.根据权利要求2或3所述检测花生油品质的方法,其特征在于:
所述不同新陈程度的花生油的勾兑方式及过氧化值、酸值的化学值为: 新油(mL) 陈油(mL) 过氧化值mmol/kg 酸值mg/g
70 0 2.5800 0.4601
68 2 2.7892 0.4773
66 4 3.2668 0.5012
64 6 3.4683 0.5544
62 8 3.7030 0.5607
58 12 7.1251 0.618
56 14 7.7818 0.6423
54 16 9.2412 0.6679
52 18 10.6129 0.7033
50 20 11.0852 0.7104
48 22 12.6037 0.7272
46 24 12.7568 0.7753
44 26 12.9505 0.7756
42 28 13.3439 0.7847
40 30 13.4396 0.8022
38 32 15.3918 0.8236
36 24 15.6912 0.8381
32 38 16.2579 0.8589
30 40 16.4974 0.904
28 42 16.6081 0.9342
26 44 16.6881 1.0046
24 46 17.1134 1.0826
20 50 17.432 1.1785
18 52 17.6761 1.2171
16 54 18.6511 1.2327
14 56 18.9033 1.279
10 60 20.1452 1.2922
8 62 20.9424 1.32
6 64 21.1418 1.3327
4 66 21.7543 1.3763
2 68 24.0902 1.399
0 70 24.507 1.4133
所述不同新陈程度的花生油的勾兑方式及过氧化值、酸值的预测值为: 新油(mL) 陈油(mL) 过氧化值mmol/kg 酸值mg/g
70 0 ------------------------------ 0.4550
68 2 ------------------------------ 0.4670
66 4 ------------------------------ 0.5305
64 6 ------------------------------ 0.5590
62 8 ------------------------------ 0.5798
58 12 8.1810 0.6093
56 14 10.5400 0.6443
54 16 11.0100 0.6529
52 18 11.7350 0.6866
50 20 11.7667 0.7133
48 22 12.2600 0.7466
46 24 12.5367 0.8137
44 26 12.8500 0.8661
42 28 13.5233 0.8702
40 30 14.1267 0.8865
38 32 14.9467 0.9068
36 24 15.3867 0.9213
32 38 16.7500 0.9335
30 40 16.7667 0.9770
28 42 16.8600 0.9773
26 44 16.9933 1.0577
24 46 17.3050 1.1133
20 50 17.9400 1.1967
18 52 18.3700 1.2477
16 54 18.5167 1.2737
14 56 18.6567 1.2897
10 60 18.7900 1.3037
8 62 21.1467 1.3373
6 64 22.0533 1.3433
4 66 22.2267 1.3700
2 68 23.4567 1.3820
0 70 23.7950 1.3837
7.根据权利要求6所述检测花生油品质的方法,其特征在于:
所述花生油过氧化值模型的最佳光谱预处理方法为“一阶导数+矢量归一化”,谱区范围为7506~6094.3cm-1,维数为6,模型的R2为91.93,RMSECV为1.23;
所述花生油酸值模型的最佳光谱预处理方法为“矢量归一化”,谱区范围为7506~6094.3cm-1,维数为7,模型的R2为93.88,RMSECV为0.074。
8.根据权利要求1~7任一项所述检测花生油品质的方法,其特征在于:所述近红外光谱扫描,每个样品4mL,重复扫描3次。
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