1
|
Nuguri SM, Hackshaw KV, Castellvi SDL, Wu Y, Gonzalez CM, Goetzman CM, Schultz ZD, Yu L, Aziz R, Osuna-Diaz MM, Sebastian KR, Brode WM, Giusti MM, Rodriguez-Saona L. Surface-Enhanced Raman Spectroscopy Combined with Multivariate Analysis for Fingerprinting Clinically Similar Fibromyalgia and Long COVID Syndromes. Biomedicines 2024; 12:1447. [PMID: 39062021 PMCID: PMC11275161 DOI: 10.3390/biomedicines12071447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Revised: 06/15/2024] [Accepted: 06/25/2024] [Indexed: 07/28/2024] Open
Abstract
Fibromyalgia (FM) is a chronic central sensitivity syndrome characterized by augmented pain processing at diffuse body sites and presents as a multimorbid clinical condition. Long COVID (LC) is a heterogenous clinical syndrome that affects 10-20% of individuals following COVID-19 infection. FM and LC share similarities with regard to the pain and other clinical symptoms experienced, thereby posing a challenge for accurate diagnosis. This research explores the feasibility of using surface-enhanced Raman spectroscopy (SERS) combined with soft independent modelling of class analogies (SIMCAs) to develop classification models differentiating LC and FM. Venous blood samples were collected using two supports, dried bloodspot cards (DBS, n = 48 FM and n = 46 LC) and volumetric absorptive micro-sampling tips (VAMS, n = 39 FM and n = 39 LC). A semi-permeable membrane (10 kDa) was used to extract low molecular fraction (LMF) from the blood samples, and Raman spectra were acquired using SERS with gold nanoparticles (AuNPs). Soft independent modelling of class analogy (SIMCA) models developed with spectral data of blood samples collected in VAMS tips showed superior performance with a validation performance of 100% accuracy, sensitivity, and specificity, achieving an excellent classification accuracy of 0.86 area under the curve (AUC). Amide groups, aromatic and acidic amino acids were responsible for the discrimination patterns among FM and LC syndromes, emphasizing the findings from our previous studies. Overall, our results demonstrate the ability of AuNP SERS to identify unique metabolites that can be potentially used as spectral biomarkers to differentiate FM and LC.
Collapse
Affiliation(s)
- Shreya Madhav Nuguri
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (Y.W.); (C.M.G.); (M.M.G.); (L.R.-S.)
| | - Kevin V. Hackshaw
- Department of Internal Medicine, Division of Rheumatology, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA
| | - Silvia de Lamo Castellvi
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (Y.W.); (C.M.G.); (M.M.G.); (L.R.-S.)
- Departament d’Enginyeria Química, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain
| | - Yalan Wu
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (Y.W.); (C.M.G.); (M.M.G.); (L.R.-S.)
| | - Celeste Matos Gonzalez
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (Y.W.); (C.M.G.); (M.M.G.); (L.R.-S.)
| | - Chelsea M. Goetzman
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH 43210, USA; (C.M.G.); (Z.D.S.)
- Savannah River National Laboratory, Jackson, SC 29831, USA
| | - Zachary D. Schultz
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, OH 43210, USA; (C.M.G.); (Z.D.S.)
| | - Lianbo Yu
- Center of Biostatistics and Bioinformatics, The Ohio State University, Columbus, OH 43210, USA; (L.Y.); (W.M.B.)
| | - Rija Aziz
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (M.M.O.-D.); (K.R.S.)
| | - Michelle M. Osuna-Diaz
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (M.M.O.-D.); (K.R.S.)
| | - Katherine R. Sebastian
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (M.M.O.-D.); (K.R.S.)
| | - W. Michael Brode
- Center of Biostatistics and Bioinformatics, The Ohio State University, Columbus, OH 43210, USA; (L.Y.); (W.M.B.)
| | - Monica M. Giusti
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (Y.W.); (C.M.G.); (M.M.G.); (L.R.-S.)
| | - Luis Rodriguez-Saona
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (Y.W.); (C.M.G.); (M.M.G.); (L.R.-S.)
| |
Collapse
|
2
|
Nuguri SM, Hackshaw KV, de Lamo Castellvi S, Bao H, Yao S, Aziz R, Selinger S, Mikulik Z, Yu L, Osuna-Diaz MM, Sebastian KR, Giusti MM, Rodriguez-Saona L. Portable Mid-Infrared Spectroscopy Combined with Chemometrics to Diagnose Fibromyalgia and Other Rheumatologic Syndromes Using Rapid Volumetric Absorptive Microsampling. Molecules 2024; 29:413. [PMID: 38257325 PMCID: PMC10821365 DOI: 10.3390/molecules29020413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/04/2024] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
The diagnostic criteria for fibromyalgia (FM) have relied heavily on subjective reports of experienced symptoms coupled with examination-based evidence of diffuse tenderness due to the lack of reliable biomarkers. Rheumatic disorders that are common causes of chronic pain such as rheumatoid arthritis, systemic lupus erythematosus, osteoarthritis, and chronic low back pain are frequently found to be comorbid with FM. As a result, this can make the diagnosis of FM more challenging. We aim to develop a reliable classification algorithm using unique spectral profiles of portable FT-MIR that can be used as a real-time point-of-care device for the screening of FM. A novel volumetric absorptive microsampling (VAMS) technique ensured sample volume accuracies and minimized the variation introduced due to hematocrit-based bias. Blood samples from 337 subjects with different disorders (179 FM, 158 non-FM) collected with VAMS were analyzed. A semi-permeable membrane filtration approach was used to extract the blood samples, and spectral data were collected using a portable FT-MIR spectrometer. The OPLS-DA algorithm enabled the classification of the spectra into their corresponding classes with 84% accuracy, 83% sensitivity, and 85% specificity. The OPLS-DA regression plot indicated that spectral regions associated with amide bands and amino acids were responsible for discrimination patterns and can be potentially used as spectral biomarkers to differentiate FM and other rheumatic diseases.
Collapse
Affiliation(s)
- Shreya Madhav Nuguri
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (H.B.); (M.M.G.); (L.R.-S.)
| | - Kevin V. Hackshaw
- Department of Internal Medicine, Division of Rheumatology, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA
| | - Silvia de Lamo Castellvi
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (H.B.); (M.M.G.); (L.R.-S.)
- Campus Sescelades, Departament d’Enginyeria Química, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007 Tarragona, Spain
| | - Haona Bao
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (H.B.); (M.M.G.); (L.R.-S.)
| | - Siyu Yao
- Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210019, China;
| | - Rija Aziz
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (S.S.); (M.M.O.-D.); (K.R.S.)
| | - Scott Selinger
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (S.S.); (M.M.O.-D.); (K.R.S.)
| | - Zhanna Mikulik
- Department of Internal Medicine, Division of Immunology and Rheumatology, The Ohio State University, 480 Medical Center Dr, Columbus, OH 43210, USA;
| | - Lianbo Yu
- Center of Biostatistics and Bioinformatics, The Ohio State University, Columbus, OH 43210, USA;
| | - Michelle M. Osuna-Diaz
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (S.S.); (M.M.O.-D.); (K.R.S.)
| | - Katherine R. Sebastian
- Department of Internal Medicine, Dell Medical School, The University of Texas, 1601 Trinity St., Austin, TX 78712, USA; (R.A.); (S.S.); (M.M.O.-D.); (K.R.S.)
| | - M. Monica Giusti
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (H.B.); (M.M.G.); (L.R.-S.)
| | - Luis Rodriguez-Saona
- Department of Food Science and Technology, The Ohio State University, Columbus, OH 43210, USA; (S.M.N.); (S.d.L.C.); (H.B.); (M.M.G.); (L.R.-S.)
| |
Collapse
|
3
|
Babatunde HA, Collins J, Lukman R, Saxton R, Andersen T, McDougal OM. SVR Chemometrics to Quantify β-Lactoglobulin and α-Lactalbumin in Milk Using MIR. Foods 2024; 13:166. [PMID: 38201194 PMCID: PMC10778881 DOI: 10.3390/foods13010166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 12/26/2023] [Accepted: 12/28/2023] [Indexed: 01/12/2024] Open
Abstract
Protein content variation in milk can impact the quality and consistency of dairy products, necessitating access to in-line real time monitoring. Here, we present a chemometric approach for the qualitative and quantitative monitoring of β-lactoglobulin and α-lactalbumin, using mid-infrared spectroscopy (MIR). In this study, we employed Hotelling T2 and Q-residual for outlier detection, automated preprocessing using nippy, conducted wavenumber selection with genetic algorithms, and evaluated four chemometric models, including partial least squares, support vector regression (SVR), ridge, and logistic regression to accurately predict the concentrations of β-lactoglobulin and α-lactalbumin in milk. For the quantitative analysis of these two whey proteins, SVR performed the best to interpret protein concentration from 197 MIR spectra originating from 42 Cornell University samples of preserved pasteurized modified milk. The R2 values obtained for β-lactoglobulin and α-lactalbumin using leave one out cross-validation (LOOCV) are 92.8% and 92.7%, respectively, which is the highest correlation reported to date. Our approach introduced a combination of preprocessing automation, genetic algorithm-based wavenumber selection, and used Optuna to optimize the framework for tuning hyperparameters of the chemometric models, resulting in the best chemometric analysis of MIR data to quantitate β-lactoglobulin and α-lactalbumin to date.
Collapse
Affiliation(s)
| | - Joseph Collins
- Biomolecular Sciences Graduate Program, Boise State University, Boise, ID 83725, USA;
| | - Rianat Lukman
- Department of Chemistry and Biochemistry, Boise State University, Boise, ID 83725, USA; (R.L.); (R.S.)
| | - Rose Saxton
- Department of Chemistry and Biochemistry, Boise State University, Boise, ID 83725, USA; (R.L.); (R.S.)
| | | | - Owen M. McDougal
- Department of Chemistry and Biochemistry, Boise State University, Boise, ID 83725, USA; (R.L.); (R.S.)
| |
Collapse
|
4
|
Aykas DP, Sinir GO, Borba KR. Determination of quality traits and possible adulteration of molasses using FT-IR spectroscopy: A study from Turkish market. Food Chem 2023; 427:136727. [PMID: 37406447 DOI: 10.1016/j.foodchem.2023.136727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 06/23/2023] [Accepted: 06/24/2023] [Indexed: 07/07/2023]
Abstract
We aimed to develop portable Fourier transform infrared (FT-IR) spectroscopy-based prediction algorithms for the key quality characteristics (soluble solids, water activity, pH, sucrose, glucose, fructose, fructose/glucose, hydroxymethylfurfural) of various types of molasses, establish their legitimacy, and create a model to separate them based on their botanical origin. Samples labeled as carob (n = 27), grape (n = 24), Juniper (n = 13), and mulberry (n = 12) were purchased from different local markets in Turkey. Labeling issues were revealed in five carob and seven grape molasses, and those samples classified as non-authentic by the FT-IR algorithms were corroborated by reference analysis. Partial least squares regression models generated to predict the key quality traits of Turkish molasses demonstrated excellent correlation with reference analysis (R2Val ≥ 0.96) and low standard error of prediction (SEP ≤ 2.88). The FT-IR sensor provided a feasible approach for molasses testing to assess its quality through manufacturing and storage, also provided a powerful tool to -ensure proper product labeling.
Collapse
Affiliation(s)
- Didem Peren Aykas
- Department of Food Engineering, Faculty of Engineering, Adnan Menderes University, Aydin 09100, Turkey.
| | - Gulsah Ozcan Sinir
- Department of Food Engineering, Faculty of Agriculture, Bursa Uludağ University, Bursa, Turkey
| | - Karla Rodrigues Borba
- Department of Food and Nutrition, São Paulo State University, Araraquara, SP 01049-10, Brazil
| |
Collapse
|
5
|
Lan W, Baeten V, Jaillais B, Renard CM, Arnould Q, Chen S, Leca A, Bureau S. Comparison of near-infrared, mid-infrared, Raman spectroscopy and near-infrared hyperspectral imaging to determine chemical, structural and rheological properties of apple purees. J FOOD ENG 2022. [DOI: 10.1016/j.jfoodeng.2022.111002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
6
|
Okere EE, Arendse E, Nieuwoudt H, Fawole OA, Perold WJ, Opara UL. Non-Invasive Methods for Predicting the Quality of Processed Horticultural Food Products, with Emphasis on Dried Powders, Juices and Oils: A Review. Foods 2021; 10:foods10123061. [PMID: 34945612 PMCID: PMC8701083 DOI: 10.3390/foods10123061] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 11/29/2021] [Accepted: 12/02/2021] [Indexed: 11/16/2022] Open
Abstract
This review covers recent developments in the field of non-invasive techniques for the quality assessment of processed horticultural products over the past decade. The concept of quality and various quality characteristics related to evaluating processed horticultural products are detailed. A brief overview of non-invasive methods, including spectroscopic techniques, nuclear magnetic resonance, and hyperspectral imaging techniques, is presented. This review highlights their application to predict quality attributes of different processed horticultural products (e.g., powders, juices, and oils). A concise summary of their potential commercial application for quality assessment, control, and monitoring of processed agricultural products is provided. Finally, we discuss their limitations and highlight other emerging non-invasive techniques applicable for monitoring and evaluating the quality attributes of processed horticultural products. Our findings suggest that infrared spectroscopy (both near and mid) has been the preferred choice for the non-invasive assessment of processed horticultural products, such as juices, oils, and powders, and can be adapted for on-line quality control. Raman spectroscopy has shown potential in the analysis of powdered products. However, imaging techniques, such as hyperspectral imaging and X-ray computed tomography, require improvement on data acquisition, processing times, and reduction in the cost and size of the devices so that they can be adopted for on-line measurements at processing facilities. Overall, this review suggests that non-invasive techniques have the potential for industrial application and can be used for quality assessment.
Collapse
Affiliation(s)
- Emmanuel Ekene Okere
- SARChI Postharvest Technology Research Laboratory, Africa Institute for Postharvest Technology, Faculty of AgriSciences, Stellenbosch University, Stellenbosch 7600, South Africa; (E.E.O.); (E.A.)
- Department of Electrical and Electronic Engineering, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa;
| | - Ebrahiema Arendse
- SARChI Postharvest Technology Research Laboratory, Africa Institute for Postharvest Technology, Faculty of AgriSciences, Stellenbosch University, Stellenbosch 7600, South Africa; (E.E.O.); (E.A.)
| | - Helene Nieuwoudt
- Department Viticulture and Oenology, Institute for Wine Biotechnology, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa;
| | - Olaniyi Amos Fawole
- Postharvest Research Laboratory, Department of Botany and Plant Biotechnology, University of Johannesburg, P.O. Box 524, Auckland Park, Johannesburg 2006, South Africa;
| | - Willem Jacobus Perold
- Department of Electrical and Electronic Engineering, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa;
| | - Umezuruike Linus Opara
- SARChI Postharvest Technology Research Laboratory, Africa Institute for Postharvest Technology, Faculty of AgriSciences, Stellenbosch University, Stellenbosch 7600, South Africa; (E.E.O.); (E.A.)
- UNESCO International Centre for Biotechnology, Nsukka 410001, Nigeria
- Correspondence: or
| |
Collapse
|
7
|
Mendelova A, Mendel Ľ, Solgajová M, Mareček J. Evaluation of the basic saccharides content in tomatoes. POTRAVINARSTVO 2021. [DOI: 10.5219/1543] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Saccharides are the basic dry matter components of all fruits and vegetables. The dominant tomatoes saccharides are fructose and glucose, minor ones are sucrose but also arabinose, xylose, and galactose. The objective of this paper is to analyze carbohydrates such as glucose, fructose and sucrose in the selected tomatoes varieties intended for the direct consumption and industrial processing. We used 14 varieties and 3 newly selected tomatoes varieties. The glucose content in the studied varieties was in the range of 4.87 – 15.9 g.kg-1, the fructose content was 11.1 – 22.27 g.kg-1 and sucrose content was 0.07 – 1.73 g.kg-1. The highest fructose and sucrose content was detected in the Tomanova variety, the highest sucrose content was found out in the Bovita variety. When comparing the glucose content it was found out that the higher content on average was achieved in the varieties intended for the industrial processing (10.10 g.kg-1) than in the varieties for the direct consumption (7.96 g.kg-1). The varieties intended for industrial processing were generally characterized by higher glucose and fructose content than the varieties intended for the direct consumption. When comparing the fructose content, we found a higher average content in the varieties intended for industrial processing (15.70 g.kg-1) than in the varieties for the direct consumption (14.40 g.kg-1). In most of the studied varieties sucrose was present in low content (<1.0 g.kg-1), only in the Tomanova variety sucrose content represented more than 1 g.kg-1.
Collapse
|
8
|
Borba KR, Oldoni FC, Monaretto T, Colnago LA, Ferreira MD. Selection of industrial tomatoes using TD-NMR data and computational classification methods. Microchem J 2021. [DOI: 10.1016/j.microc.2021.106048] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
9
|
Lan W, Renard CMGC, Jaillais B, Buergy A, Leca A, Chen S, Bureau S. Mid-infrared technique to forecast cooked puree properties from raw apples: A potential strategy towards sustainability and precision processing. Food Chem 2021; 355:129636. [PMID: 33799241 DOI: 10.1016/j.foodchem.2021.129636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 02/05/2021] [Accepted: 03/13/2021] [Indexed: 10/21/2022]
Abstract
The potential of MIRS was investigated to: i) differentiate cooked purees issued from different apples and process conditions, and ii) predict the puree quality characteristics from the spectra of homogenized raw apples. Partial least squares (PLS) regression was tested both, on the real spectra of cooked purees and their reconstructed spectra calculated from the spectra of homogenized raw apples by direct standardization. The cooked purees were well-classified according to apple thinning practices and cold storage durations, and to different heating and grinding conditions. PLS models using the spectra of homogenized raw apples can anticipate the titratable acidity (the residual predictive deviation (RPD) = 2.9), soluble solid content (RPD = 2.8), particle averaged size (RPD = 2.6) and viscosity (RPD ≥ 2.5) of cooked purees. MIR technique can provide sustainable evaluations of puree quality, and even forecast texture and taste of purees based on the prior information of raw materials.
Collapse
Affiliation(s)
- Weijie Lan
- INRAE, Avignon University, UMR408 Sécurité et Qualité des Produits d'Origine Végétale, F-84000 Avignon, France.
| | - Catherine M G C Renard
- INRAE, Avignon University, UMR408 Sécurité et Qualité des Produits d'Origine Végétale, F-84000 Avignon, France; INRAE, TRANSFORM Division, F-44000 Nantes, France.
| | - Benoit Jaillais
- INRAE, ONIRIS, Unité Statistiques, Sensométrie, Chimiométrie (StatSC), F-44322 Nantes, France.
| | - Alexandra Buergy
- INRAE, Avignon University, UMR408 Sécurité et Qualité des Produits d'Origine Végétale, F-84000 Avignon, France.
| | - Alexandre Leca
- INRAE, Avignon University, UMR408 Sécurité et Qualité des Produits d'Origine Végétale, F-84000 Avignon, France.
| | | | - Sylvie Bureau
- INRAE, Avignon University, UMR408 Sécurité et Qualité des Produits d'Origine Végétale, F-84000 Avignon, France.
| |
Collapse
|
10
|
Lan W, Bureau S, Chen S, Leca A, Renard CM, Jaillais B. Visible, near- and mid-infrared spectroscopy coupled with an innovative chemometric strategy to control apple puree quality. Food Control 2021. [DOI: 10.1016/j.foodcont.2020.107546] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
|
11
|
Lan W, Renard CM, Jaillais B, Leca A, Bureau S. Fresh, freeze-dried or cell wall samples: Which is the most appropriate to determine chemical, structural and rheological variations during apple processing using ATR-FTIR spectroscopy? Food Chem 2020; 330:127357. [DOI: 10.1016/j.foodchem.2020.127357] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 06/12/2020] [Accepted: 06/14/2020] [Indexed: 12/21/2022]
|
12
|
Aykas DP, Rodrigues Borba K, Rodriguez-Saona LE. Non-Destructive Quality Assessment of Tomato Paste by Using Portable Mid-Infrared Spectroscopy and Multivariate Analysis. Foods 2020; 9:E1300. [PMID: 32942600 PMCID: PMC7554908 DOI: 10.3390/foods9091300] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 09/07/2020] [Accepted: 09/10/2020] [Indexed: 11/20/2022] Open
Abstract
This research aims to provide simultaneous predictions of tomato paste's multiple quality traits without any sample preparation by using a field-deployable portable infrared spectrometer. A total of 1843 tomato paste samples were supplied by four different leading tomato processors in California, USA, over the tomato seasons of 2015, 2016, 2017, and 2019. The reference levels of quality traits including, natural tomato soluble solids (NTSS), pH, Bostwick consistency, titratable acidity (TA), serum viscosity, lycopene, glucose, fructose, ascorbic acid, and citric acid were determined by official methods. A portable FT-IR spectrometer with a triple-reflection diamond ATR sampling system was used to directly collect mid-infrared spectra. The calibration and external validation models were developed by using partial least square regression (PLSR). The evaluation of models was conducted on a randomly selected external validation set. A high correlation (RCV = 0.85-0.99) between the reference values and FT-IR predicted values was observed from PLSR models. The standard errors of prediction were low (SEP = 0.04-35.11), and good predictive performances (RPD = 1.8-7.3) were achieved. Proposed FT-IR technology can be ideal for routine in-plant assessment of the tomato paste quality that would provide the tomato processors with accurate results in shorter time and lower cost.
Collapse
Affiliation(s)
- Didem Peren Aykas
- Department of Food Science and Technology, The Ohio State University, 100 Parker Food Science and Technology Building, 2015 Fyffe Road, Columbus, OH 43210, USA;
- Department of Food Engineering, Faculty of Engineering, Adnan Menderes University, Aydin 09100, Turkey
| | - Karla Rodrigues Borba
- Department of Food and Nutrition, São Paulo State University, Araraquara 01049-10, Brazil;
| | - Luis E. Rodriguez-Saona
- Department of Food Science and Technology, The Ohio State University, 100 Parker Food Science and Technology Building, 2015 Fyffe Road, Columbus, OH 43210, USA;
| |
Collapse
|
13
|
Bureau S, Arbex de Castro Vilas Boas A, Giovinazzo R, Jaillais B, Page D. Toward the implementation of mid-infrared spectroscopy along the processing chain to improve quality of the tomato based products. Lebensm Wiss Technol 2020. [DOI: 10.1016/j.lwt.2020.109518] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
|
14
|
González-Albarrán R, de Gyves J, Rodríguez de San Miguel E. Determination of Cadmium (II) in Aqueous Solutions by In Situ MID-FTIR-PLS Analysis Using a Polymer Inclusion Membrane-Based Sensor: First Considerations. Molecules 2020; 25:E3436. [PMID: 32751053 PMCID: PMC7436151 DOI: 10.3390/molecules25153436] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 07/13/2020] [Accepted: 07/16/2020] [Indexed: 11/16/2022] Open
Abstract
Environmental monitoring is one of the most dynamically developing branches of chemical analysis. In this area, the use of multidimensional techniques and methods is encouraged to allow reliable determinations of metal ions with portable equipment for in-field applications. In this regard, this study presents, for the first time, the capabilities of a polymer inclusion membrane (PIM) sensor to perform cadmium (II) determination in aqueous solutions by in situ visible (VIS) and Mid- Fourier transform infrared spectroscopy (MID-FTIR) analyses of the polymeric films, using a partial least squares (PLS) chemometric approach. The influence of pH and metal content on cadmium (II) extraction, the characterization of its extraction in terms of the adsorption isotherm, enrichment factor and extraction equilibrium were studied. The PLS chemometric algorithm was applied to the spectral data to establish the relationship between cadmium (II) content in the membrane and the absorption spectra. Furthermore, the developed MID-FTIR method was validated through the determination of the figures of merit (accuracy, linearity, sensitivity, analytical sensitivity, minimum discernible concentration difference, mean selectivity, and limits of detection and quantitation). Results showed reliable calibration curves denoting systems' potentiality. Comparable results were obtained in the analysis of real samples (tap, bottle, and pier water) between the new MID-FTIR-PLS PIM based-sensor and F-AAS.
Collapse
Affiliation(s)
| | | | - Eduardo Rodríguez de San Miguel
- Departamento de Química Analítica, Facultad de Química, UNAM, Ciudad Universitaria, 04510 Cd. Mx., Mexico; (R.G.-A.); (J.d.G.)
| |
Collapse
|
15
|
Akpolat H, Barineau M, Jackson KA, Aykas DP, Rodriguez-Saona LE. Portable infrared sensing technology for phenotyping chemical traits in fresh market tomatoes. Lebensm Wiss Technol 2020. [DOI: 10.1016/j.lwt.2020.109164] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
16
|
Ibáñez G, Valcárcel M, Cebolla-Cornejo J, Roselló S. FT-MIR determination of taste-related compounds in tomato: a high throughput phenotyping analysis for selection programs. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2019; 99:5140-5148. [PMID: 31006865 DOI: 10.1002/jsfa.9760] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 04/16/2019] [Accepted: 04/16/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Tomato taste is defined by the accumulation of sugars and organic acids. Individual analyses of these compounds using high-performance liquid chromatography (HPLC) or capillary zone electrophoresis (CZE) are expensive, time-consuming and are not feasible for large number of samples, justifying the interest of spectroscopic methods such as Fourier-transform mid-infrared (FT-MIR). This work analyzed the performance of FT-MIR models to determine the accumulation of sugars and acids, considering the efficiency of models obtained with different ranges of variation. RESULTS FT-MIR spectra (five-bounce attenuated total reflectance, ATR) were used to obtain partial least squares (PLS) models to predict sugar and acid contents in specific sample sets representing different varietal types. A general model was also developed, obtaining R2 values for prediction higher than 0.84 for main components (soluble solids content, fructose, glucose, and citric acid). Root mean squared error of prediction (RMSEP) for these components were lower than 15% of the mean contents and lower than 6% of the highest contents. Even more, the model sensitivity and specificity for those variables with a 10% selection pressure was 100%. That means that all samples with the 10% highest content were correctly identified. The model was applied to an external assay and it exhibited, for main components, high sensitivities (> 70%) and specificities (> 96%). RMSEP values for main compounds were lower than 21% and 13% of the mean and maximum content respectively. CONCLUSION The models obtained confirm the effectiveness of FT-MIR models to select samples with high contents of taste-related compounds, even when the calibration has not been performed within the same assay. © 2019 Society of Chemical Industry.
Collapse
Affiliation(s)
- Ginés Ibáñez
- Unidad Mixta de Investigación Mejora de la Calidad Agroalimentaria UJI-UPV. Department de Ciències Agràries i del Medi Natural, Universitat Jaume I, Castelló de la Plana, Spain
| | - Mercedes Valcárcel
- Unidad Mixta de Investigación Mejora de la Calidad Agroalimentaria UJI-UPV. Department de Ciències Agràries i del Medi Natural, Universitat Jaume I, Castelló de la Plana, Spain
| | - Jaime Cebolla-Cornejo
- Unidad Mixta de Investigación Mejora de la Calidad Agroalimentaria UJI-UPV, COMAV, Universitat Politècnica de València, València, Spain
| | - Salvador Roselló
- Unidad Mixta de Investigación Mejora de la Calidad Agroalimentaria UJI-UPV. Department de Ciències Agràries i del Medi Natural, Universitat Jaume I, Castelló de la Plana, Spain
| |
Collapse
|
17
|
Yeong TJ, Pin Jern K, Yao LK, Hannan MA, Hoon STG. Applications of Photonics in Agriculture Sector: A Review. Molecules 2019; 24:E2025. [PMID: 31137897 PMCID: PMC6571790 DOI: 10.3390/molecules24102025] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 05/10/2019] [Accepted: 05/12/2019] [Indexed: 11/17/2022] Open
Abstract
The agricultural industry has made a tremendous contribution to the foundations of civilization. Basic essentials such as food, beverages, clothes and domestic materials are enriched by the agricultural industry. However, the traditional method in agriculture cultivation is labor-intensive and inadequate to meet the accelerating nature of human demands. This scenario raises the need to explore state-of-the-art crop cultivation and harvesting technologies. In this regard, optics and photonics technologies have proven to be effective solutions. This paper aims to present a comprehensive review of three photonic techniques, namely imaging, spectroscopy and spectral imaging, in a comparative manner for agriculture applications. Essentially, the spectral imaging technique is a robust solution which combines the benefits of both imaging and spectroscopy but faces the risk of underutilization. This review also comprehends the practicality of all three techniques by presenting existing examples in agricultural applications. Furthermore, the potential of these techniques is reviewed and critiqued by looking into agricultural activities involving palm oil, rubber, and agro-food crops. All the possible issues and challenges in implementing the photonic techniques in agriculture are given prominence with a few selective recommendations. The highlighted insights in this review will hopefully lead to an increased effort in the development of photonics applications for the future agricultural industry.
Collapse
Affiliation(s)
- Tan Jin Yeong
- Institute of Power Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia.
| | - Ker Pin Jern
- Institute of Power Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia.
| | - Lau Kuen Yao
- Institute of Power Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia.
| | - M A Hannan
- Institute of Power Engineering, College of Engineering, Universiti Tenaga Nasional, Kajang 43000, Selangor, Malaysia.
| | - Shirley Tang Gee Hoon
- Microbiology Unit, Department of Pre-clinical, International Medical School, Management and Science University, University Drive, Off Persiaran Olahraga, Seksyen 13, Shah Alam 40100, Selangor, Malaysia.
| |
Collapse
|
18
|
Su WH, Sun DW. Mid-infrared (MIR) Spectroscopy for Quality Analysis of Liquid Foods. FOOD ENGINEERING REVIEWS 2019. [DOI: 10.1007/s12393-019-09191-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
|
19
|
Córdova A, Saavedra J, Mondaca V, Vidal J, Astudillo-Castro C. Quality assessment and multivariate calibration of 5-hydroxymethylfurfural during a concentration process for clarified apple juice. Food Control 2019. [DOI: 10.1016/j.foodcont.2018.07.050] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
|
20
|
Comparison Among MIR, NIR, and LF-NMR Techniques for Quality Control of Jam Using Chemometrics. FOOD ANAL METHOD 2018. [DOI: 10.1007/s12161-018-1195-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
|