PMID- 37678048
OWN - NLM
STAT- Publisher
LR  - 20231017
IS  - 1873-3557 (Electronic)
IS  - 1386-1425 (Linking)
VI  - 304
DP  - 2024 Jan 5
TI  - A low-cost discrete Vis-NIR optical sensing method for the determination of pear 
      internal blackheart.
PG  - 123344
LID - S1386-1425(23)01029-6 [pii]
LID - 10.1016/j.saa.2023.123344 [doi]
AB  - In this study, a moldy crown pear core detection system based on a micro-optical 
      sensor was developed. The micro-optical sensor has seven specific wavelengths, 
      425, 455, 515, 615, 660, 700, and 850 nm, and a cost-effective advantage. For the 
      discrete spectrum, 7 kinds of preprocessing methods were compared. Traditional 
      preprocessing methods, such as the standard normal transform (SNV) and multiple 
      scattering correction (MSC) methods, cannot improve the efficiency of the 
      spectrum. It was verified that the Savitzky - Golay (SG) convolution smoothing 
      preprocessing method could be applied to preprocess discrete spectral data. The 
      correlation of the spectrum after SG preprocessing in the partial least squares 
      regression (PLSR) prediction model was 0.86, and the root mean square error 
      (RMSE) was 0.19. Furthermore, the difference between the nonlinear modeling 
      method without preprocessing and the PLS prediction model after preprocessing was 
      compared. The results showed that the accuracy of the nonlinear modeling method 
      for the discrete spectrum was much higher than that of the PLS linear modeling. 
      The average model accuracy was above 0.9, and the k nearest neighbor (KNN) 
      algorithm had the best effect, reaching an accuracy of 0.96. Finally, a 
      prediction model accuracy of 0.98 was obtained by combining SG + KNN. In summary, 
      the micro-optical sensor system had the advantages of low-cost performance and 
      high precision, which are convenient for popularization and application in 
      practice.
CI  - Copyright (c) 2023. Published by Elsevier B.V.
FAU - Li, Long
AU  - Li L
AD  - Institute of Food Science and Technology, Chinese Academy of Agricultural 
      Sciences, Beijing 100193, China; Weifang Institute of Food Science and Processing 
      Technology, Weifang 261000, China; Sanya Institute, Hainan Academy of 
      Agricultural Sciences, Sanya 572025, China. Electronic address: llzgnydx@163.com.
FAU - Zhang, Yifan
AU  - Zhang Y
AD  - Institute of Food Science and Technology, Chinese Academy of Agricultural 
      Sciences, Beijing 100193, China; Weifang Institute of Food Science and Processing 
      Technology, Weifang 261000, China. Electronic address: bk_sugar@163.com.
FAU - Bai, Yajuan
AU  - Bai Y
AD  - Sanya Institute, Hainan Academy of Agricultural Sciences, Sanya 572025, China. 
      Electronic address: xbaizxyq@sina.com.
FAU - Sun, Yufeng
AU  - Sun Y
AD  - Institute of Food Science and Technology, Chinese Academy of Agricultural 
      Sciences, Beijing 100193, China. Electronic address: yufengsuncaas@163.com.
FAU - Tong, Litao
AU  - Tong L
AD  - Institute of Food Science and Technology, Chinese Academy of Agricultural 
      Sciences, Beijing 100193, China. Electronic address: tonglitao@caas.cn.
FAU - Fan, Bei
AU  - Fan B
AD  - Institute of Food Science and Technology, Chinese Academy of Agricultural 
      Sciences, Beijing 100193, China. Electronic address: fanbei5172021@126.com.
FAU - Yang, Huihui
AU  - Yang H
AD  - Institute of Food Science and Technology, Chinese Academy of Agricultural 
      Sciences, Beijing 100193, China; Weifang Institute of Food Science and Processing 
      Technology, Weifang 261000, China. Electronic address: yanghh_6@163.com.
FAU - Li, Minmin
AU  - Li M
AD  - Institute of Food Science and Technology, Chinese Academy of Agricultural 
      Sciences, Beijing 100193, China; Weifang Institute of Food Science and Processing 
      Technology, Weifang 261000, China. Electronic address: liminmin@caas.cn.
FAU - Wang, Yutang
AU  - Wang Y
AD  - Weifang Institute of Food Science and Processing Technology, Weifang 261000, 
      China. Electronic address: wangyutang@caas.cn.
FAU - Wang, Fengzhong
AU  - Wang F
AD  - Institute of Food Science and Technology, Chinese Academy of Agricultural 
      Sciences, Beijing 100193, China; Sanya Institute, Hainan Academy of Agricultural 
      Sciences, Sanya 572025, China. Electronic address: wangfengzhong@sina.com.
LA  - eng
PT  - Journal Article
DEP - 20230903
PL  - England
TA  - Spectrochim Acta A Mol Biomol Spectrosc
JT  - Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
JID - 9602533
SB  - IM
OTO - NOTNLM
OT  - Micro-optical sensor
OT  - Pear blackheart disease
OT  - Savitzky-Golay convolution smoothing (SG)
OT  - k nearest neighbor (KNN)
COIS- Declaration of Competing Interest The authors declare that they have no known 
      competing financial interests or personal relationships that could have appeared 
      to influence the work reported in this paper.
EDAT- 2023/09/08 00:41
MHDA- 2023/09/08 00:41
CRDT- 2023/09/07 18:08
PHST- 2023/05/14 00:00 [received]
PHST- 2023/08/28 00:00 [revised]
PHST- 2023/09/02 00:00 [accepted]
PHST- 2023/09/08 00:41 [pubmed]
PHST- 2023/09/08 00:41 [medline]
PHST- 2023/09/07 18:08 [entrez]
AID - S1386-1425(23)01029-6 [pii]
AID - 10.1016/j.saa.2023.123344 [doi]
PST - ppublish
SO  - Spectrochim Acta A Mol Biomol Spectrosc. 2024 Jan 5;304:123344. doi: 
      10.1016/j.saa.2023.123344. Epub 2023 Sep 3.