[1] 杨振发, 肖航, 张雷, 等. 基于近红外光谱的水泥生料氧化物含量快速测定方法研究[J]. 分析化学,2020,48(2):275-281.

YANG ZH F, XIAO H, ZHANG L, et al. Rapid determination of oxides content in cement raw meal based on near infrared spectroscopy[J]. Chinese Journal of Analytical Chemistry, 2020, 48(2): 275-281. (in Chinese)
[2] AMBROSE A, LOHUMI S, LEE W H, et al. Comparative nondestructive measurement of corn seed viability using fourier transform near-infrared (FT-NIR) and raman spectroscopy[J]. Sensors and Actuators B:Chemical, 2015, 224: 500-506.
[3] 李茂刚, 闫春华, 薛佳, 等. 近红外光谱结合小波变换—随机森林法快速定量分析甲醇汽油中甲醇含量[J]. 分析化学,2019,47(12):1995-2003.

LI M G, YAN CH H, XUE J, et al. Rapid quantitative analysis of methanol content in methanol gasoline by near infrared spectroscopy coupled with wavelet transform-random forest[J]. Chinese Journal of Analytical Chemistry, 2019, 47(12): 1995-2003. (in Chinese)
[4] 何龙生. 水稻种子活力测定方法的初步研究[D]. 杭州: 浙江农林大学, 2018: 1-2.

HE L SH. The preliminary study on methods for determination of rice seed vigor[D]. Hangzhou: Zhejiang A&F University, 2018. (in Chinese)
[5] 王岳含. 我国种子质量可追溯系统研究[D]. 北京: 中国农业科学院, 2016.

WANG Y H. Seed quality tracing system of china research[D]. Beijing: Chinese Academy of Agricultural Sciences, 2016. (in Chinese)
[6] 牟致远. 小麦种子活力及其遗传分析[J]. 西南农业大学学报,1987,9(4):421-425.

MU ZH Y. Seedling vigor and genetic analysis in wheat varieties[J]. Journal of Southwest Agricultural University, 1987, 9(4): 421-425. (in Chinese)
[7] 王青峰, 宫庆友, 沈凌云, 等. 超甜玉米种子活力研究[J]. 种子,2007,26(6):4-7. doi: 10.3969/j.issn.1001-4705.2007.06.002

WANG Q F, GONG Q Y, SHEN L Y, et al. Study of combining ability of seed vigor in super sweet corn[J]. Seed, 2007, 26(6): 4-7. (in Chinese) doi: 10.3969/j.issn.1001-4705.2007.06.002
[8] 朱银, 颜伟, 杨欣, 等. 基于近红外光谱的小麦种子发芽率测试[J]. 江苏农业科学,2015,43(12):111-113.

ZHU Y, YAN W, YANG X, et al. Test of germination rate of wheat seeds based on near infrared spectroscopy[J]. Jiangsu Agricultural Sciences, 2015, 43(12): 111-113. (in Chinese)
[9] 李欢欢, 卢伟, 杜昌文, 等. 基于光声光谱结合LS-SVR的稻种活力快速无损检测方法研究[J]. 中国激光,2015,42(11):1115003. doi: 10.3788/CJL201542.1115003

LI H H, LU W, DU CH W, et al. Study on rapid and non-destructive detection of rice seed vigor based on photoacoustic spectroscopy combined with LS-SVR[J]. Chinese Journal of Lasers, 2015, 42(11): 1115003. (in Chinese) doi: 10.3788/CJL201542.1115003
[10] 李美凌, 邓飞, 刘颖, 等. 基于高光谱图像的水稻种子活力检测技术研究[J]. 浙江农业学报,2015,27(1):1-6. doi: 10.3969/j.issn.1004-1524.2015.01.01

LI M L, DENG F, LIU Y, et al. Study on detection technology of rice seed vigor based on hyperspectral image[J]. Acta Agriculturae Zhejiangensis, 2015, 27(1): 1-6. (in Chinese) doi: 10.3969/j.issn.1004-1524.2015.01.01
[11] 宋乐, 王琦, 王纯阳, 等. 基于近红外光谱的单粒水稻种子活力快速无损检测[J]. 粮食储藏,2015,44(1):20-23. doi: 10.3969/j.issn.1000-6958.2015.01.005

SONG L, WANG Q, WANG CH Y, et al. Qualitative analysis of single rice seed vigor using near infrared reflectance spectroscopy[J]. Grain Storage, 2015, 44(1): 20-23. (in Chinese) doi: 10.3969/j.issn.1000-6958.2015.01.005
[12] ZHOU X B, ZHAO J W, POVEY M J W, et al. Variables selection methods in near-infrared spectroscopy[J]. Analytica Chimica Acta, 2010, 667(1-2): 14-32. doi: 10.1016/j.aca.2010.03.048
[13] 史永刚, 栗斌, 田高友, 等. 化学计量学方法及MATLAB实现[M]. 北京: 中国石化出版社, 2010.

SHI Y G, LI B, TIAN G Y, et al.. Chemometrics Method and MATLAB Implementation[M]. Beijing: China Petrochemical Press, 2010. (in Chinese)
[14] 郭帅, 苏杭, 黄星灿, 等. 光学无创血糖浓度检测方法的研究进展[J]. 中国光学,2019,12(6):1235-1248. doi: 10.3788/co.20191206.1235

GUO SH, SU H, HUANG X C, et al. Research progress in optical methods for noninvasive blood glucose detection[J]. Chinese Optics, 2019, 12(6): 1235-1248. (in Chinese) doi: 10.3788/co.20191206.1235
[15] 王纯阳. 基于近红外光谱的单籽粒水稻种子品质检测的方法研究[D]. 合肥: 中国科学技术大学, 2017.

WANG CH Y. The nondestructive quality analysis of single rice seed using near infrared spectroscopy[D]. Hefei: University of Science and Technology of China. (in Chinese)
[16] 高升, 王巧华, 李庆旭, 等. 基于近红外光谱的红提维生素C含量、糖度及总酸含量无损检测方法[J]. 分析化学,2019,47(6):941-949.

GAO SH, WANG Q H, LI Q X, et al. Non-destructive detection of vitamin C, sugar content and total acidity of red globe grape based on near-infrared spectroscopy[J]. Chinese Journal of Analytical Chemistry, 2019, 47(6): 941-949. (in Chinese)
[17] 付丹丹, 王巧华, 高升, 等. 不同品种鸡蛋贮期S—卵白蛋白含量分析及其可见/近红外光谱无损检测模型研究[J]. 分析化学,2020,48(2):289-297.

FU D D, WANG Q H, GAO SH, et al. Analysis of S-Ovalbumin content of different varieties of eggs during storage and its nondestructive testing model by visible-near infrared spectroscopy[J]. Chinese Journal of Analytical Chemistry, 2020, 48(2): 289-297. (in Chinese)
[18] 刘宁武, 许林广, 周胜, 等. 量子级联激光光谱在土壤生态系统中的应用[J]. 光学学报,2019,39(11):1130001. doi: 10.3788/AOS201939.1130001

LIU N W, XU G L, ZHOU SH, et al. Application of quantum-cascade laser spectroscopy to soil ecosystems[J]. Acta Optica Sinica, 2019, 39(11): 1130001. (in Chinese) doi: 10.3788/AOS201939.1130001
[19] 谢臣瑜, 翟文超, 李健军, 等. 超连续激光单色仪系统级光谱响应度定标比对验证[J]. 红外与激光工程,2020,49(2):0205005. doi: 10.3788/IRLA202049.0205005

XIE CH Y, ZHAI W CH, LI J J, et al. System-level spectral responsivity calibration comparison and validation of supercontinuum laser and monochromator[J]. Infrared and Laser Engineering, 2020, 49(2): 0205005. (in Chinese) doi: 10.3788/IRLA202049.0205005
[20] 曹栋栋, 阮晓丽, 詹艳, 等. 杂交水稻种子不同活力测定方法与其田间成苗率的相关性[J]. 浙江农业学报,2014,26(5):1145-1150. doi: 10.3969/j.issn.1004-1524.2014.05.01

CAO D D, RUAN X L, ZHAN Y, et al. Relativity analysis between seedling percentage in field and different seed vigor testing methods of hybrid rice seeds[J]. Acta Agriculturae Zhejiangensis, 2014, 26(5): 1145-1150. (in Chinese) doi: 10.3969/j.issn.1004-1524.2014.05.01
[21] 刘燕德, 叶灵玉, 孙旭东, 等. 基于光谱指数的蜜橘成熟度评价模型研究[J]. 中国光学,2018,11(1):83-91. doi: 10.3788/co.20181101.0083

LIU Y D, YE L Y, SUN X D, et al. Maturity evaluation model of tangerine based on spectral index[J]. Chinese Optics, 2018, 11(1): 83-91. (in Chinese) doi: 10.3788/co.20181101.0083
[22] 董盈红. 油菜籽的傅里叶变换红外光谱鉴别[J]. 保山学院学报,2018,37(2):38-41. doi: 10.3969/j.issn.1674-9340.2018.02.011

DONG Y H. Identification of rapeseed by fourier transform infrared spectroscopy[J]. Journal of Baoshan Teachers College, 2018, 37(2): 38-41. (in Chinese) doi: 10.3969/j.issn.1674-9340.2018.02.011
[23] 褚小立. 化学计量学方法与分子光谱分析技术[M]. 北京: 化学工业出版社, 2011.

CHU X L. Molecular Spectroscopy Analytical Technology Combined with Chemometrics and Its Applications[M]. Beijing: Chemical Industry Press, 2011. (in Chinese)
[24] 王昕, 吕世龙, 李岩, 等. 基于基线漂移模型的气体光谱自动基线校正[J]. 光谱学与光谱分析,2018,38(12):3946-3951.

WANG X, LV SH L, LI Y, et al. Automatic baseline correction of gas spectra based on baseline drift model[J]. Spectroscopy and Spectral Analysis, 2018, 38(12): 3946-3951. (in Chinese)
[25] 王凡, 李永玉, 彭彦昆, 等. 基于可见/近红外透射光谱的番茄红素含量无损检测方法研究[J]. 分析化学,2018,46(9):1424-1431. doi: 10.11895/j.issn.0253-3820.181164

WANG F, LI Y Y, PENG Y K, et al. Nondestructive determination of lycopene content based on visible/near infrared transmission spectrum[J]. Chinese Journal of Analytical Chemistry, 2018, 46(9): 1424-1431. (in Chinese) doi: 10.11895/j.issn.0253-3820.181164
[26] 高升, 王巧华, 付丹丹, 等. 红提糖度和硬度的高光谱成像无损检测[J]. 光学学报,2019,39(10):355-364.

GAO SH, WANG Q H, FU D D, et al. Nondestructive detection of sugar content and firmness of red globe grape by hyperspectral imaging[J]. Acta Optica Sinica, 2019, 39(10): 355-364. (in Chinese)
[27] 范雪婷, 朱明东, 杨晨光, 等. 利用近红外吸收光谱对水稻种子活力的判别方法[J]. 杂交水稻,2019,34(4):62-67.

FAN X T, ZHU M D, YANG CH G, et al. Assessment of rice seed vigor using near infrared spectroscopy[J]. Hybrid Rice, 2019, 34(4): 62-67. (in Chinese)
[28] SAMPAIO P S, SOARES A, CASTANHO A, et al. Optimization of rice amylose determination by NIR-spectroscopy using PLS chemometrics algorithms[J]. Food Chemistry, 2018, 242: 196-204. doi: 10.1016/j.foodchem.2017.09.058
[29] LIU D L, WU Y X, GAO Z M, et al. Comparative non-destructive classification of partial waxy wheats using near-infrared and raman spectroscopy[J]. Crop &Pasture Science, 2019, 70(5): 437-441.