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Dong K, Guan Y, Wang Q, Huang Y, An F, Zeng Q, Luo Z, Huang Q. Non-destructive prediction of yak meat freshness indicator by hyperspectral techniques in the oxidation process. Food Chem X 2022; 17:100541. [PMID: 36845518 PMCID: PMC9943752 DOI: 10.1016/j.fochx.2022.100541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 12/06/2022] [Accepted: 12/09/2022] [Indexed: 12/23/2022] Open
Abstract
This study examined the potential of hyperspectral techniques for the rapid detection of characteristic indicators of yak meat freshness during the oxidation of yak meat. TVB-N values were determined by significance analysis as the characteristic index of yak meat freshness. Reflectance spectral information of yak meat samples (400-1000 nm) was collected by hyperspectral technology. The raw spectral information was processed by 5 methods and then principal component regression (PCR), support vector machine regression (SVR) and partial least squares regression (PLSR) were used to build regression models. The results indicated that the full-wavelength based on PCR, SVR, and PLSR models were shown greater performance in the prediction of TVB-N content. In order to improve the computational efficiency of the model, 9 and 11 characteristic wavelengths were selected from 128 wavelengths by successive projection algorithm (SPA) and competitive adaptive reweighted sampling (CARS), respectively. The CARS-PLSR model exhibited excellent predictive power and model stability.
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Affiliation(s)
- Kai Dong
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang 550025, China,Engineering Research Centre of Fujian-Taiwan Special Marine Food Processing and Nutrition of Ministry of Education, College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Yufang Guan
- The Food Processing Research Institute of Guizhou Province, Guizhou Academy of Agricultural Sciences/Potato Engineering Research Center of Guizhou Province/Guizhou Key Laboratory of Agricultural Biotechnology, Guiyang 550006, Guizhou, China
| | - Qia Wang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang 550025, China,Engineering Research Centre of Fujian-Taiwan Special Marine Food Processing and Nutrition of Ministry of Education, College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Yonghui Huang
- The Food Processing Research Institute of Guizhou Province, Guizhou Academy of Agricultural Sciences/Potato Engineering Research Center of Guizhou Province/Guizhou Key Laboratory of Agricultural Biotechnology, Guiyang 550006, Guizhou, China
| | - Fengping An
- Engineering Research Centre of Fujian-Taiwan Special Marine Food Processing and Nutrition of Ministry of Education, College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China
| | - Qibing Zeng
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang 550025, China,Corresponding authors at: Guizhou Medical University, Gui 'an New District, Guizhou Province 550025, China.
| | - Zhang Luo
- College of Food Science, Tibet Agriculture and Animal Husbandry University, Linzhi, Tibet Autonomous Region 860000, China,Corresponding authors at: Guizhou Medical University, Gui 'an New District, Guizhou Province 550025, China.
| | - Qun Huang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang 550025, China,Engineering Research Centre of Fujian-Taiwan Special Marine Food Processing and Nutrition of Ministry of Education, College of Food Science, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China,Institute for Egg Science and Technology, School of Food and Biological Engineering, Chengdu University, Chengdu 610106, China,Key Laboratory of Endemic and Ethnic Diseases, Ministry of Education & Key Laboratory of Medical Molecular Biology of Guizhou Province, Guizhou Medical University, Guiyang 550004, Guizhou, China,Corresponding authors at: Guizhou Medical University, Gui 'an New District, Guizhou Province 550025, China.
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Masci M, Zoani C, Nevigato T, Turrini A, Jasionowska R, Caproni R, Ratini P. Authenticity assessment of dairy products by capillary electrophoresis. Electrophoresis 2021; 43:340-354. [PMID: 34407231 DOI: 10.1002/elps.202100154] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 08/12/2021] [Accepted: 08/13/2021] [Indexed: 12/13/2022]
Abstract
Milk and derivatives are a very important part in the diet of the world population. Products from goat, buffalo, and sheep species have a greater economic value than the cow ones, therefore, authenticity frauds by improperly adding cow's milk occur frequently: dairy products are among the seven more attractive foods for adulteration. Milk from each of the above-cited animal species has its own definite profile of whey proteins (variants of α-lactalbumin and β-lactoglobulin) and its definite profile of caseins (variants of αS1 -, αS2 -, β-, and κ-casein). Such proteins can be usefully exploited as markers of authenticity by using capillary electrophoresis which is the technique of choice for the analysis of proteins. Due to the multiple adjustable parameters that are unknown to other analytical techniques, capillary electrophoresis is able to detect frauds in milk mixtures and cheese with little use of solvents, fast analysis time, and ease of operation. This makes it attractive and competitive for routine checks that are very important to fight the adulteration market. Advantages and limitations are discussed.
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Affiliation(s)
- Maurizio Masci
- Research Centre for Food and Nutrition, Council for Agricultural Research and Economics (CREA), Rome, Italy
| | - Claudia Zoani
- Department for Sustainability-Biotechnology and Agroindustry Division (ENEA-SSPT-BIOAG), Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy
| | - Teresina Nevigato
- Research Centre for Food and Nutrition, Council for Agricultural Research and Economics (CREA), Rome, Italy
| | - Aida Turrini
- Research Centre for Food and Nutrition, Council for Agricultural Research and Economics (CREA), Rome, Italy
| | | | - Roberto Caproni
- Research Centre for Food and Nutrition, Council for Agricultural Research and Economics (CREA), Rome, Italy
| | - Patrizia Ratini
- Department of Chemistry, Sapienza University of Rome, Rome, Italy
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Yin L, Zhou J, Chen D, Han T, Zheng B, Younis A, Shao Q. A review of the application of near-infrared spectroscopy to rare traditional Chinese medicine. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2019; 221:117208. [PMID: 31170607 DOI: 10.1016/j.saa.2019.117208] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Revised: 05/16/2019] [Accepted: 05/26/2019] [Indexed: 06/09/2023]
Abstract
Near-infrared spectroscopy (NIRS) has become popular in the field of traditional Chinese medicine (TCM) due to its many practical advantages, such as providing rapid, accurate, and simultaneous analysis. This review is intended to provide up-to-date information on qualitative and quantitative NIRS analysis in TCM, especially rare TCM. By performing a substantial survey of the literature from China and abroad, we also combine our own studies on some rare TCMs using NIRS to review the application of NIRS in this field. Basic analytical methods and specific examples of NIRS demonstrates NIRS's ability in authenticity identification, species identification, geographic origin analysis, quantitative analysis, adulteration detection, rapid detection, and on-line monitoring of TCM, and illustrates the feasibility and effectiveness of NIRS applied in the quality control (QC) of TCM. Some disadvantages and prospects of NIRS are also discussed here in detail.
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Affiliation(s)
- Lianghong Yin
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China; Department of Traditional Chinese Medicine, Zhejiang A&F University, Hangzhou 311300, China
| | - Junmei Zhou
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China; Department of Traditional Chinese Medicine, Zhejiang A&F University, Hangzhou 311300, China
| | - Dandan Chen
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China; Department of Traditional Chinese Medicine, Zhejiang A&F University, Hangzhou 311300, China
| | - Tingting Han
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China; Department of Traditional Chinese Medicine, Zhejiang A&F University, Hangzhou 311300, China
| | - Bingsong Zheng
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China
| | - Adnan Younis
- Institute of Horticultural Sciences, University of Agriculture, Faisalabad 38040, Pakistan
| | - Qingsong Shao
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China; Department of Traditional Chinese Medicine, Zhejiang A&F University, Hangzhou 311300, China.
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Trimboli F, Costanzo N, Lopreiato V, Ceniti C, Morittu VM, Spina A, Britti D. Detection of buffalo milk adulteration with cow milk by capillary electrophoresis analysis. J Dairy Sci 2019; 102:5962-5970. [DOI: 10.3168/jds.2018-16194] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 03/14/2019] [Indexed: 11/19/2022]
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Wu H, Wang J, Yue T, Yuan Y. Variety-based discrimination of apple juices by an electronic nose and gas chromatography-mass spectrometry. Int J Food Sci Technol 2017. [DOI: 10.1111/ijfs.13514] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Hao Wu
- College of Food Science and Engineering; Northwest A&F University; Yangling Shaanxi 712100 China
| | - Jianguo Wang
- College of Food Science and Engineering; Northwest A&F University; Yangling Shaanxi 712100 China
| | - Tianli Yue
- College of Food Science and Engineering; Northwest A&F University; Yangling Shaanxi 712100 China
| | - Yahong Yuan
- College of Food Science and Engineering; Northwest A&F University; Yangling Shaanxi 712100 China
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Adulteration of Argentinean milk fats with animal fats: Detection by fatty acids analysis and multivariate regression techniques. Food Chem 2016; 192:1025-32. [DOI: 10.1016/j.foodchem.2015.07.107] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Revised: 06/26/2015] [Accepted: 07/22/2015] [Indexed: 11/21/2022]
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7
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Sabzalian MR, Khashei M, Ghaderian M. Artificial and Hybrid Fuzzy Linear Neural Network-Based Estimation of Seed Oil Content of Safflower. J AM OIL CHEM SOC 2014. [DOI: 10.1007/s11746-014-2547-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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8
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Godoy-Caballero MDP, Culzoni MJ, Galeano-Díaz T, Acedo-Valenzuela MI. Novel combination of non-aqueous capillary electrophoresis and multivariate curve resolution-alternating least squares to determine phenolic acids in virgin olive oil. Anal Chim Acta 2013; 763:11-9. [DOI: 10.1016/j.aca.2012.12.014] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2012] [Revised: 12/07/2012] [Accepted: 12/08/2012] [Indexed: 01/07/2023]
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9
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De Benedictis L, Schmutzler M, Karer R, Eisenstecken D, Huck-Pezzei V, Robatscher P, Oberhuber M, Mimmo T, Capici C, Scampicchio M, Cesco S, Kerschbaumer L, Kaser A, Buchberger P, Huck CW. Near Infrared Spectroscopy as a Tool for Quality Control of Food of the Alpine Region—A Short Report about a Cross-Border Project. ACTA ACUST UNITED AC 2012. [DOI: 10.1255/nirn.1339] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Lorenzo De Benedictis
- Institute of Analytical Chemistry and Radiochemistry, CCB—Centre of Chemistry and Biomedicine, Leopold-Franzens University, Innrain 80-82, 6020 Innsbruck, Austria
| | - Matthias Schmutzler
- Institute of Analytical Chemistry and Radiochemistry, CCB—Centre of Chemistry and Biomedicine, Leopold-Franzens University, Innrain 80-82, 6020 Innsbruck, Austria
| | - Regina Karer
- Institute of Analytical Chemistry and Radiochemistry, CCB—Centre of Chemistry and Biomedicine, Leopold-Franzens University, Innrain 80-82, 6020 Innsbruck, Austria
| | - Daniela Eisenstecken
- Department 33, Agrarian and Forestry Research Institute Laimburg, Vadena 6, 9040 Ora, Italy
| | - Verena Huck-Pezzei
- Institute of Analytical Chemistry and Radiochemistry, CCB—Centre of Chemistry and Biomedicine, Leopold-Franzens University, Innrain 80-82, 6020 Innsbruck, Austria
| | - Peter Robatscher
- Department 33, Agrarian and Forestry Research Institute Laimburg, Vadena 6, 9040 Ora, Italy
| | - Michael Oberhuber
- Department 33, Agrarian and Forestry Research Institute Laimburg, Vadena 6, 9040 Ora, Italy
| | - Tanja Mimmo
- Faculty for Science and Technology, Free University of Bolzano, Piazza Università 1, 39100 Bolzano, Italy
| | - Calogero Capici
- Faculty for Science and Technology, Free University of Bolzano, Piazza Università 1, 39100 Bolzano, Italy
| | - Matteo Scampicchio
- Faculty for Science and Technology, Free University of Bolzano, Piazza Università 1, 39100 Bolzano, Italy
| | - Stefano Cesco
- Faculty for Science and Technology, Free University of Bolzano, Piazza Università 1, 39100 Bolzano, Italy
| | - Luis Kerschbaumer
- Southern-Tyrolean alpine dairy association, Via Galvani 38, 39100 Bolzano, Italy
| | - Annemarie Kaser
- Southern-Tyrolean alpine dairy association, Via Galvani 38, 39100 Bolzano, Italy
| | - Peter Buchberger
- TransIdee, Leopold-Franzens University, Technikerstraße 21a, 6020 Innsbruck, Austria
| | - Christian W. Huck
- Institute of Analytical Chemistry and Radiochemistry, CCB—Centre of Chemistry and Biomedicine, Leopold-Franzens University, Innrain 80-82, 6020 Innsbruck, Austria
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Valenti B, Pagano R, Avondo M. Effect of diet at different energy levels on milk casein composition of Girgentana goats differing in CSN1S1 genotype. Small Rumin Res 2012. [DOI: 10.1016/j.smallrumres.2011.11.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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11
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Abad-García B, Berrueta LA, Garmón-Lobato S, Urkaregi A, Gallo B, Vicente F. Chemometric characterization of fruit juices from Spanish cultivars according to their phenolic compound contents: I. Citrus fruits. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2012; 60:3635-3644. [PMID: 22423971 DOI: 10.1021/jf300022u] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
The data set composed by phenolic compound profiles of 83 Citrus juices (determined by HPLC-DAD-MS/MS) was evaluated by chemometrics to differentiate them according to Citrus species (sweet orange, tangerine, lemon, and grapefruit). Cluster analysis (CA) and principal component analysis (PCA) showed natural sample grouping among Citrus species and even the Citrus subclass. Most of the information contained in the full data set can be captured if only 15 phenolic compounds (concentration ≥10 mg/L), which can be quantified with fast and accurate methods in real samples, are introduced in the models; a good classification which allows the confirmation of the authenticity of juices is achieved by linear discriminant analysis. Using this reduced data set, fast and routine methods have been developed for predicting the percentage of grapefruit in adulterated sweet orange juices using principal component regression (PCR) and partial least-squares regression (PLS). The PLS model has provided suitable estimation errors.
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Affiliation(s)
- Beatriz Abad-García
- Departamento de Química Analítica, Facultad de Ciencia y Tecnología, Universidad del País Vasco/Euskal Herriko Unibertsitatea, Bilbao, Spain
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12
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Detection of cow milk in donkey milk by chemometric procedures on triacylglycerol stereospecific analysis results. J DAIRY RES 2011; 78:335-42. [PMID: 21774859 DOI: 10.1017/s0022029911000495] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Stereospecific analysis is an important tool for the characterization of lipid fraction of food matrices, and also of milk samples. The results of a chemical-enzymatic-chromatographic analytical method were elaborated by chemometric procedures such as linear discriminant analysis (LDA) and artificial neural network (ANN). According to the total composition and intrapositional fatty acid distribution in the triacylglycerol (TAG) backbone, the obtained results were able to characterize pure milk samples and milk mixtures with 1, 3, 5% cow milk added to donkey milk. The resulting score was very satisfactory. Totally correct classified samples were obtained when the TAG stereospecific results of all the considered milk mixtures (donkey-cow) were elaborated by LDA and ANN chemometric procedures.
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Wei Z, Wang J. Detection of antibiotic residues in bovine milk by a voltammetric electronic tongue system. Anal Chim Acta 2011; 694:46-56. [DOI: 10.1016/j.aca.2011.02.053] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2010] [Revised: 01/19/2011] [Accepted: 02/23/2011] [Indexed: 11/15/2022]
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14
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Reinheimer MA, Mussati S, Scenna NJ. Influence of product composition and operating conditions on the unsteady behavior of hard candy cooling process. J FOOD ENG 2010. [DOI: 10.1016/j.jfoodeng.2010.07.029] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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15
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Alishahi A, Farahmand H, Prieto N, Cozzolino D. Identification of transgenic foods using NIR spectroscopy: a review. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2010; 75:1-7. [PMID: 19914124 DOI: 10.1016/j.saa.2009.10.001] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2009] [Accepted: 10/03/2009] [Indexed: 05/28/2023]
Abstract
The utilization of chemometric methods in the quantitative and qualitative analysis of feeds, foods, medicine and so on has been accompanied with the great evolution in the progress and in the near infrared spectroscopy (NIRS). Hence, recently the application of NIR spectroscopy has extended on the context of genetics and transgenic products. The aim of this review was to investigate the application of NIR spectroscopy to identificate transgenic products and to compare it with the traditional methods. The results of copious researches showed that the application of NIRS technology was successful to distinguish transgenic foods and it has advantages such as fast, avoiding time-consuming, non-destructive and low cost in relation to the antecedent methods such as PCR and ELISA.
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Affiliation(s)
- A Alishahi
- Department of Fisheries and Environmental Science, University of Tehran, Karaj, Iran
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Zhang H, Wang J, Ye S, Chang M. Application of Electronic Nose and Statistical Analysis to Predict Quality Indices of Peach. FOOD BIOPROCESS TECH 2009. [DOI: 10.1007/s11947-009-0295-7] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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17
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Low KH, Zain SM, Abas MR, Misran M, Mohd MA. Simultaneous Spectrophotometric Determination of Copper, Nickel, and Zinc Using 1-(2-Thiazolylazo)-2-Naphthol in the Presence of Triton X-100 Using Chemometric Methods. JOURNAL OF THE KOREAN CHEMICAL SOCIETY-DAEHAN HWAHAK HOE JEE 2009. [DOI: 10.5012/jkcs.2009.53.6.717] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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18
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Rodríguez-Nogales J, Cifuentes A, García M, Marina M. Estimation of the percentage of transgenic Bt maize in maize flour mixtures using perfusion and monolithic reversed-phase high-performance liquid chromatography and chemometric tools. Food Chem 2008; 111:483-9. [DOI: 10.1016/j.foodchem.2008.03.079] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2007] [Revised: 02/22/2008] [Accepted: 03/30/2008] [Indexed: 10/22/2022]
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19
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Chen CC, Shih JS. Multi-Channel Piezoelectric Quartz Crystal Sensor with Principal Component Analysis and Back-Propagation Neural Network for Organic Pollutants from Petrochemical Plants. J CHIN CHEM SOC-TAIP 2008. [DOI: 10.1002/jccs.200800145] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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21
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Hemmateenejad B, Akhond M, Samari F. A comparative study between PCR and PLS in simultaneous spectrophotometric determination of diphenylamine, aniline, and phenol: Effect of wavelength selection. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2007; 67:958-65. [PMID: 17049915 DOI: 10.1016/j.saa.2006.09.014] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2006] [Revised: 09/08/2006] [Accepted: 09/12/2006] [Indexed: 05/12/2023]
Abstract
Partial least squares (PLS) and principal component regression (PCR) have received considerable attention in the chemometrics for multicomponent analysis where superiority of one over another is a challenging problem yet. Considering the effect of wavelength selection, a comparison was made between PCR and PLS methods by application those to simultaneous spectrophotometric determination of diphenylamine (DPA), a compound from the third European Union list of priority pollutants, and its environmentally related products aniline and phenol. The UV absorbance spectra of the methanolic solutions of the analytes were measured in the concentration ranges of 1.0-10.0 microg mL(-1) and then subjected to PCR and PLS. The models refinement procedure and validation was performed by cross-validation. A modified changeable size moving windows strategy, where optimized the intervals between the sensors in a selected windows, was also proposed to select the more informative spectral regions for each of the analytes. It was found that wavelength selection improved the quality of predictions for both regression methods whereas more reliable results were obtained by removing of the highly collinear neighboring wavelengths. The resultant data explained that PLS produced more or less better results when whole spectral data were used but in the case of selected wavelength regions both methods produced similar results and no comments could be given about the superiority of one against another. The major difference was obtaining the higher number of factors for PCR, which is not a significant problem.
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Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends Food Sci Technol 2007. [DOI: 10.1016/j.tifs.2006.09.003] [Citation(s) in RCA: 633] [Impact Index Per Article: 37.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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