CAJ | 학술논문

采用近红外光谱技术建立小麦粉灰分含量的快速检测方法。使用两种不同的近红外光谱仪器采集小麦粉的近红外光谱数据，以常规分析法的测定值作为建模数据，采用偏最小二乘（PLS）回归分析法建立小麦粉灰分的定量分析模型，比较两种不同的近红外光谱仪器扫描的小麦粉近红外光谱图对模型的影响。结果表明，MicroNIR －1700近红外光谱仪扫描的谱图所建校正集模型的相关系数 R2为90．69，均方根误差（RMSECV）为0．0312，预测集模型的均方根误差（RMSEP）为0．0217；VERTEX70傅里叶变换近红外光谱仪扫描的谱图所建校正集模型的相关系数 R2为89．40，均方根误差（RMSECV）为0．0350，预测集模型的均方根误差（RMSEP）为0．0366。两种仪器都能用于小麦粉光谱采集，并进行灰分含量快速检测，MicroNIR －1700在小麦粉灰分检测方面有更好的应用。
채용근홍외광보기술건립소맥분회분함량적쾌속검측방법。사용량충불동적근홍외광보의기채집소맥분적근홍외광보수거，이상규분석법적측정치작위건모수거，채용편최소이승（PLS）회귀분석법건립소맥분회분적정량분석모형，비교량충불동적근홍외광보의기소묘적소맥분근홍외광보도대모형적영향。결과표명，MicroNIR －1700근홍외광보의소묘적보도소건교정집모형적상관계수 R2위90．69，균방근오차（RMSECV）위0．0312，예측집모형적균방근오차（RMSEP）위0．0217；VERTEX70부리협변환근홍외광보의소묘적보도소건교정집모형적상관계수 R2위89．40，균방근오차（RMSECV）위0．0350，예측집모형적균방근오차（RMSEP）위0．0366。량충의기도능용우소맥분광보채집，병진행회분함량쾌속검측，MicroNIR －1700재소맥분회분검측방면유경호적응용。
Rapid detection of ash content in flour was built based on the near infrared spectroscopy tech-nology.The near infrared spectral data of flour was collected by two different near -infrared spectrome-ters;conventionally measured value as model data,a quantitative analysis model of flour ash content was established by partial least square regression analysis;the impact of near infrared spectrograms of flour scanned by two different near -infrared spectrometers on the model were compared.The results showed that the correlation coefficient of calibration set model of MicroNIR -1700 scanning near -infrared spec-trometer was 90.69,with the root mean square error RMSECV 0.0312;the root mean square error of prediction set model RMSEP was 0.0217;the correlation coefficient of calibration set model of VER-TEX70 Fourier transform near infrared spectrometer was 89.40,with the root mean square error RMSECV 0.0350;the root mean square error of prediction set model RMSEP was 0.0366.Both instruments can be used for collecting flour spectrograms,and rapid detection of ash content,while MicroNIR -1700 had good application in flour ash detection.