䥺Symbol`@@基于近红外光谱漫透射技术的苹果可溶性固形物含量在线检测
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(中北大学机械与动力工程学院,山西 太原 030051)

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陆辉山(1975—),男,中北大学副教授,博士。E-mail:13934597379@139.com

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国家自然基金(编号:41201294);山西省自然科学基金(编号:2013011026-2)


On-line detection research of apple’s soluble solids content of diffuse transmission technology based on near infrared spectroscopy
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(School of Mechanical and Power Engineering, North University of China, Taiyuan, Shanxi 030051, China)

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    摘要:

    为研究苹果的内部品质,提高检测的速度和稳定性,将近红外光谱漫透射技术应用于在线检测研究,并采取偏最小二乘回归(PLSR)算法结合不同光谱预处理方法建立苹果内部的可溶性固形物含量(SSC)的定量模型。结果表明:采用一阶微分结合多元散射校正(MSC)预处理后的模型最稳定,校正集和预测集的标准差分别为0.17和0.39,校正集的相关系数也达到0.988 3。试验结果说明近红外光谱漫透射技术能够快速、无损地检测出苹果的可溶性固形物含量。

    Abstract:

    To study on internal quality of the fruit, in order to improve the detection speed and robustness, near infrared spectral diffuse transmission is applied to on-line detection research, using partial least squares regression (PLSR) algorithm combined with different pre-processing methods to establish the quantitative models of soluble solids content (SSC) of internal quality of the apple. The results of final model were achieved as follow: the model was stability which was used by first derivative combined with multiplicative signal correction (MSC), rootmean square errors of calibration and rootmean square errors of prediction are 0.17 and 0.39, respectively, the correlation coefficient of calibration is 0.988 3. The results indicated that the diffuse transmission of NIRS could be applied successful determine the SSC in apple as a fast and nondestructive method.

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陆辉山,陈鹏强,闫宏伟,等.䥺Symbol`@@基于近红外光谱漫透射技术的苹果可溶性固形物含量在线检测[J].食品与机械,2015,31(3):40-42.
LUHuishan, CHENPengqiang, YANHongwei, et al. On-line detection research of apple’s soluble solids content of diffuse transmission technology based on near infrared spectroscopy[J]. Food & Machinery,2015,31(3):40-42.

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  • 收稿日期:2014-12-15
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  • 在线发布日期: 2023-03-17
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