基于MEMS-FPI微型探测器的近红外光谱检测系统开发
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摘要
开发了基于MESM-FPI光谱传感器(C13272-01)的近红外光谱检测系统。采用ATxmega128A3U微处理器为主控芯片,设计了两路独立可调光源、动镜电压控制单元、I-V积分放大电路及电源模块。通过样机性能试验,对系统进行了基本性能评价并且建立酒精化学模型。试验表明该系统性能稳定、可靠,酒精模型的校正相关系数(Rc)和预测相关系数(Rp)分别为0.988和0.998,校正标准偏差(RMSEC)和预测标准偏差(RMSEP)分别为0.0452和0.0131。光谱检测系统性能稳定,便携,可应用于农产品无损检测中。
A near infrared spectroscopy detecting system based on MESM-FPI spectrum sensor(C13272-01)was developed.By using the ATxmega128A3 U microprocessor as the main control chip,two independent tunable light sources,a moving mirror voltage control unit,an I-V integral amplifier circuit,and a power supply module were designed.The basic performance of the system was evaluated and the alcohol chemistry model was established.The test results showed that the system was stable and reliable,the alcohol model calibration correlation coefficient(Rc)and prediction correlation coefficient(Rp)were0.988 and 0.998,calibration standard deviation(RMSEC)and predication standard deviation(RMSEP)were 0.0452 and 0.0131.The near infrared spectroscopy detection system is stable,portable,which can be used for the nondestructive testing of agricultural products.
A near infrared spectroscopy detecting system based on MESM-FPI spectrum sensor(C13272-01)was developed.By using the ATxmega128A3 U microprocessor as the main control chip,two independent tunable light sources,a moving mirror voltage control unit,an I-V integral amplifier circuit,and a power supply module were designed.The basic performance of the system was evaluated and the alcohol chemistry model was established.The test results showed that the system was stable and reliable,the alcohol model calibration correlation coefficient(Rc)and prediction correlation coefficient(Rp)were0.988 and 0.998,calibration standard deviation(RMSEC)and predication standard deviation(RMSEP)were 0.0452 and 0.0131.The near infrared spectroscopy detection system is stable,portable,which can be used for the nondestructive testing of agricultural products.
引文
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[6]陈力,杨富荣,苏铁,等.基于法布里-珀罗干涉仪的瑞利散射测速技术研究[J].光子学报,2015,44(1):201-204.
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[9]周益驰,习友宝.基于XMEGA的便携式仪表设计[J].电子世界,2013(4):119-120.
[2]徐广通,袁洪福,陆婉珍.现代近红外光谱技术及应用进展[J].光谱学与光谱分析,2000,20(2):134-142.
[3]吴利敏.近红外光谱法快速检测某些中药及中成药品质的应用研究[D].西南大学,2013.
[4]刘晓光.智能微型近红外光谱仪电子系统与数据处理[D].中国科学技术大学,2013.
[5]丁莹.近红外光谱仪器的研究进展与发展趋向[J].红外,2012,33(7):1-5.
[6]陈力,杨富荣,苏铁,等.基于法布里-珀罗干涉仪的瑞利散射测速技术研究[J].光子学报,2015,44(1):201-204.
[7]Blomberg M,Kattelus H,Miranto A.Electrically Tunable Surface Micromachined Fabry-Perot interferometer for Visible Light[J].Procedia Chemistry,2009,1(1):552-555.
[8]王冬,马智宏,韩平,等.法布里干涉、傅里叶变换近红外光谱仪采集西湖龙井茶近红外光谱的比较[J].农产品质量与安全,2012(B09):46-49.
[9]周益驰,习友宝.基于XMEGA的便携式仪表设计[J].电子世界,2013(4):119-120.