目標(biāo)特征譜線選取對(duì)豬肉中Cr元素LIBS檢測(cè)精度比較
發(fā)布時(shí)間:2018-08-01 18:25
【摘要】:結(jié)合激光誘導(dǎo)擊穿光譜和線性回歸對(duì)豬肉中Cr元素進(jìn)行定量分析,比較了Cr特征譜線單變量分析與多變量分析對(duì)豬肉中Cr元素檢測(cè)精度的影響。先采用特征譜線Cr I425.43nm進(jìn)行單變量分析,得到Cr濃度與LIBS強(qiáng)度的線性相關(guān)系數(shù)為0.9434;再利用Cr的三特征譜線Cr I425.43nm,Cr I427.48nm,Cr I428.97nm進(jìn)行多變量分析,研究了Cr元素預(yù)測(cè)質(zhì)量分?jǐn)?shù)與實(shí)際質(zhì)量分?jǐn)?shù)之間的線性相關(guān)性。結(jié)果顯示,單變量分析與多變量分析的線性相關(guān)性分別為0.9749和0.9769,定標(biāo)集平均預(yù)測(cè)相對(duì)誤差分別為4.8%和4.2%,驗(yàn)證集AREP分別為5.3%和3.3%。結(jié)果表明,選取目標(biāo)元素Cr的單特征譜線與多特征譜線均能對(duì)樣品Cr含量進(jìn)行有效預(yù)測(cè),多變量分析能在一定程度上提高Cr元素含量預(yù)測(cè)的準(zhǔn)確性但與單變量比較差異性不大,且采用單一最靈敏線定量分析更簡(jiǎn)便可行。
[Abstract]:Combined with laser induced breakdown spectroscopy and linear regression, the quantitative analysis of Cr in pork was carried out, and the effects of single variable analysis and multivariate analysis on the detection accuracy of Cr in pork were compared. The linear correlation coefficient between Cr concentration and LIBS strength is 0.9434 by using characteristic spectral line Cr I425.43nm, and then multivariate analysis is carried out by using Cr I 425.43 nm ~ (-1) Cr I _ (427.48) nm ~ (m) I428.97nm, and Cr I _ (425.43) nm ~ (m) ~ (-1) Cr I428.97nm. The linear correlation between the predicted mass fraction of Cr element and the actual mass fraction was studied. The results show that the linear correlation between univariate analysis and multivariate analysis is 0.9749 and 0.9769, the average relative error of calibration set is 4.8% and 4.2%, and the AREP of verification set is 5.3% and 3.3%, respectively. The results show that both single and multiple characteristic lines of the target element Cr can effectively predict the Cr content of the sample. Multivariate analysis can improve the accuracy of the prediction of Cr content to some extent, but there is little difference compared with the single variable. And the single most sensitive line quantitative analysis is more convenient and feasible.
【作者單位】: 江西農(nóng)業(yè)大學(xué)工學(xué)院;江西省高校生物光電及應(yīng)用重點(diǎn)實(shí)驗(yàn)室;江西農(nóng)業(yè)大學(xué)生物科學(xué)與工程學(xué)院;
【分類號(hào)】:TN249
,
本文編號(hào):2158453
[Abstract]:Combined with laser induced breakdown spectroscopy and linear regression, the quantitative analysis of Cr in pork was carried out, and the effects of single variable analysis and multivariate analysis on the detection accuracy of Cr in pork were compared. The linear correlation coefficient between Cr concentration and LIBS strength is 0.9434 by using characteristic spectral line Cr I425.43nm, and then multivariate analysis is carried out by using Cr I 425.43 nm ~ (-1) Cr I _ (427.48) nm ~ (m) I428.97nm, and Cr I _ (425.43) nm ~ (m) ~ (-1) Cr I428.97nm. The linear correlation between the predicted mass fraction of Cr element and the actual mass fraction was studied. The results show that the linear correlation between univariate analysis and multivariate analysis is 0.9749 and 0.9769, the average relative error of calibration set is 4.8% and 4.2%, and the AREP of verification set is 5.3% and 3.3%, respectively. The results show that both single and multiple characteristic lines of the target element Cr can effectively predict the Cr content of the sample. Multivariate analysis can improve the accuracy of the prediction of Cr content to some extent, but there is little difference compared with the single variable. And the single most sensitive line quantitative analysis is more convenient and feasible.
【作者單位】: 江西農(nóng)業(yè)大學(xué)工學(xué)院;江西省高校生物光電及應(yīng)用重點(diǎn)實(shí)驗(yàn)室;江西農(nóng)業(yè)大學(xué)生物科學(xué)與工程學(xué)院;
【分類號(hào)】:TN249
,
本文編號(hào):2158453
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